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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
17813388652 | from typing import Callable, Any, Type
from lyrid import Address
from lyrid.base import ActorSystemBase
from lyrid.core.node import NodeSpawnProcessMessage
from lyrid.core.process import Process
from lyrid.core.system import Placement
from tests.factory.system import create_actor_system
from tests.mock.messenger impor... | SSripilaipong/lyrid | tests/system/actor_placement/_assertion.py | _assertion.py | py | 3,625 | python | en | code | 12 | github-code | 6 | [
{
"api_name": "typing.Callable",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "lyrid.base.ActorSystemBase",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.Type",
... |
15484480802 | #!/usr/bin/env python
from __future__ import print_function
import sys
import os
if sys.version_info >= (3, 0):
import tkinter
else:
import Tkinter as tkinter
import interaction
import canvas
import FigureManager
# The size of the button (width, height) for buttons in root gui.
SIZE_BUTTON = (18, 4)
def ... | t-lou/pytena | main.py | main.py | py | 1,537 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.version_info",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "interaction.find_pmg",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "FigureManager.g_figure_manager.add_pmg",
"line_number": 26,
"usage_type": "call"
},
{
"... |
21138659052 | from neo4j import GraphDatabase
# neo4j connection
driver = GraphDatabase.driver("bolt://127.0.0.1:7687", auth=("neo4j", "neo4j"))
# random walk
k = 10 # Number of neighbors
pre_weight = 2 # Weight of return
n = -1 # number of users to use, -1 means using all the users.
batch_size = 1000 # batchsize to save
cores... | RManLuo/MotifGNN | src_sjjy/pipline_config.py | pipline_config.py | py | 3,021 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "neo4j.GraphDatabase.driver",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "neo4j.GraphDatabase",
"line_number": 4,
"usage_type": "name"
}
] |
1004121962 | from flask import Flask, render_template, request
import pypandoc
app = Flask(__name__)
@app.route('/')
def home():
return render_template('index.html')
@app.route('/convert', methods=['POST'])
def convert():
input_markup = request.form['input_markup']
output_markup = pypandoc.convert(input_markup, format='... | myw/wiki-converter | converter.py | converter.py | py | 552 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.request.form",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "flask.reques... |
18015924174 | import cv2
import sys
import PyQt5.QtCore as QtCore
from PyQt5.QtCore import QTimer # Import QTimer from PyQt5
from PyQt5.QtWidgets import QApplication, QWidget, QPushButton, QVBoxLayout, QLabel, QFileDialog, QInputDialog
from PyQt5.QtGui import QImage, QPixmap
class TrackingApp(QWidget):
def __init__(self):
... | kio7/smart_tech | Submission 2/Task_6/trackingGUI.py | trackingGUI.py | py | 3,282 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.QTimer",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QLabel",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "PyQ... |
21998531046 | from collections import Counter
class Solution:
def minWindow(self, s: str, t: str) -> str:
s_len = len(s)
t_len = len(t)
begin = 0
win_freq = {}
t_freq = dict(Counter(t))
min_len = s_len + 1
distance = 0
left = 0
right = 0
while rig... | hangwudy/leetcode | 1-99/76. 最小覆盖子串.py | 76. 最小覆盖子串.py | py | 1,359 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.Counter",
"line_number": 10,
"usage_type": "call"
}
] |
8068261091 | from torchvision.models.detection import maskrcnn_resnet50_fpn
from rigl_torch.models import ModelFactory
@ModelFactory.register_model_loader(model="maskrcnn", dataset="coco")
def get_maskrcnn(*args, **kwargs):
return maskrcnn_resnet50_fpn(
weights=None, weights_backbone=None, trainable_backbone_layers=5... | calgaryml/condensed-sparsity | src/rigl_torch/models/maskrcnn.py | maskrcnn.py | py | 400 | python | en | code | 10 | github-code | 6 | [
{
"api_name": "torchvision.models.detection.maskrcnn_resnet50_fpn",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "rigl_torch.models.ModelFactory.register_model_loader",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "rigl_torch.models.ModelFactory",
"line_... |
21437122618 | import kivy
from kivy.app import App
from kivy.uix.label import Label
# 2
from kivymd.app import MDApp
from kivymd.uix.label import MDLabel
from kivymd.uix.screen import Screen
kivy.require('2.1.0')
class MyFirstApp(App):
def build(self):
# lbl = Label(text='Hello World')
# lbl = Label(text='Hel... | gonzales54/python_script | kivy/kivy1(text)/main1.py | main1.py | py | 2,528 | python | ja | code | 0 | github-code | 6 | [
{
"api_name": "kivy.require",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "kivy.app.App",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "kivy.uix.label.Label",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "kivymd.app.MDApp",
... |
36636572184 |
import random
import pyxel
import utils
import stage
TYPE_AGGRESSIVE = 0
TYPE_MILD = 1
TYPE_RANDOM_SLOW = 2
TYPE_RANDOM_FAST = 3
TYPES = [
TYPE_AGGRESSIVE,
TYPE_MILD,
TYPE_RANDOM_SLOW,
TYPE_RANDOM_FAST
]
TICKS_PER_FRAME = 10
MAX_FRAME = 4
MAX_SPEED = 0.4
MAX_RESPAWN_TICKS = 300 # 5 secs
class Sp... | helpcomputer/megaball | megaball/spinner.py | spinner.py | py | 4,317 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "random.choice",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "stage.SPAWN_SECTOR_TOPLEFT",
"line_number": 52,
"usage_type": "attribute"
},
{
"api_name": "stage.SPA... |
46046574096 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
from setuptools import setup
README = open(os.path.join(os.path.dirname(__file__), 'README.md')).read()
REQUIREMENTS = open(os.path.join(os.path.dirname(__file__), 'requirements.txt')).read()
# allow setup.py to be run from any path
os.chdir(os.path.normpath(os... | nitely/django-hooks | setup.py | setup.py | py | 1,303 | python | en | code | 16 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_numbe... |
37304550340 | import pyrealsense2 as rs
import numpy as np
import cv2
WIDTH = 640
HEIGHT = 480
FPS = 30
# file name which you want to open
FILE = './data/stairs.bag'
def main():
# stream(Depth/Color) setting
config = rs.config()
config.enable_stream(rs.stream.color, WIDTH, HEIGHT, rs.format.rgb8, FPS)
config.enabl... | masachika-kamada/realsense-matome | play_bagfile.py | play_bagfile.py | py | 1,686 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pyrealsense2.config",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pyrealsense2.stream",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "pyrealsense2.format",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": ... |
1282652745 | import datetime
import pandas as pd
from tqdm import tqdm
from emailer import Emailer
from shipping import Shipping
from shipstation import Shipstation
def main():
# Instantiate objects to be used throughout the script
shipstation = Shipstation()
shipping = Shipping()
# Get all shipment information ... | mattgrcia/review-booster | main.py | main.py | py | 4,870 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "shipstation.Shipstation",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "shipping.Shipping",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "shipstation.get_shipments",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "t... |
26333498275 | # Face detection is done using classifier
# classifier is an algorithm that decides wherether a face is present or not
# classifier need to be trained images thousands of with and without the faces.
# Opencv have pretrained classifier called haarcascade, localbinary pattern.
import cv2 as cv
img = cv.imread('Ima... | JinalSinroja/OpenCV | Face_Detection.py | Face_Detection.py | py | 1,299 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.imread",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_numbe... |
19399743449 | from typing import List
import collections
class Solution:
def combine(self, n: int, k: int) -> List[List[int]]:
q = collections.deque()
for i in range(1, n + 1):
q.append([i])
while q:
e = q.popleft()
if len(e) == k:
q.appendleft(e)
... | Yigang0622/LeetCode | combine.py | combine.py | py | 576 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 6,
"usage_type": "name"
}
] |
69986222269 | from django.db import models
from django.contrib.auth.models import AbstractUser
from django.contrib.auth import get_user_model
class CustomUser(AbstractUser):
phone = models.CharField(max_length=13, blank=True, null=True)
bonus_coin = models.IntegerField(default=0)
class NameIt(models.Model):
name = mo... | Pdnky/MySite | FoodDelivery/core/models.py | models.py | py | 1,427 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.contrib.auth.models.AbstractUser",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.db.models",
"line_number": 7,
"usage_type": "name"
},
{
"... |
10420612333 | from __future__ import annotations
from typing import TYPE_CHECKING
from randovania.exporter.hints import guaranteed_item_hint
from randovania.exporter.hints.hint_exporter import HintExporter
from randovania.exporter.hints.joke_hints import JOKE_HINTS
from randovania.game_description.db.hint_node import HintNode
from... | randovania/randovania | randovania/games/prime2/exporter/hints.py | hints.py | py | 4,216 | python | en | code | 165 | github-code | 6 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "randovania.game_description.game_patches.GamePatches",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "randovania.interface_common.players_configuration.PlayersConfiguration"... |
2544504801 | import cv2
import numpy as np
###Color detection
def empty(a):
pass
def stackImages(scale,imgArray):
rows = len(imgArray)
cols = len(imgArray[0])
rowsAvailable = isinstance(imgArray[0], list)
width = imgArray[0][0].shape[1]
height = imgArray[0][0].shape[0]
if rowsAvailable:
for x ... | monsterpit/openCVDemo | Resources/chapter7.py | chapter7.py | py | 3,458 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.resize",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "cv2.resize",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_GRAY2BGR",
"line_num... |
28156175074 | import argparse
import sys
from pathlib import Path
from typing import List
import numpy as np
import torch
from thre3d_atom.modules.volumetric_model.volumetric_model import (
VolumetricModel,
VolumetricModelRenderingParameters,
)
from thre3d_atom.rendering.volumetric.voxels import (
GridLocation,
Fea... | akanimax/3inGAN | projects/thre3ingan/experimental/create_vol_mod_from_npy.py | create_vol_mod_from_npy.py | py | 2,878 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentDefaultsHelpFormatter",
"line_number": 27,
"usage_type": "attribute"
},
{
"a... |
1466500793 | from dataclasses import dataclass, field
from src.shared.general_functions import sum_all_initialized_int_attributes
@dataclass
class ShareholdersEquity:
"""Shareholders' equity is the amount that the owners of a company have invested in their business. This includes
the money they've directly invested and t... | hakunaprojects/stock-investing | src/domain/financial_statements/balance_sheet_statement/shareholders_equity.py | shareholders_equity.py | py | 785 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "dataclasses.field",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "src.shared.general_functions.sum_all_initialized_int_attributes",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 6,
"usage_type":... |
11120994067 | import logging
import typing as tp
from collections import deque
from librarius.domain.messages import (
AbstractMessage,
AbstractEvent,
AbstractCommand,
AbstractQuery,
)
from librarius.service.uow import AbstractUnitOfWork
from librarius.domain.exceptions import SkipMessage
logger = logging.getLogger(... | adriangabura/vega | librarius/service/message_bus.py | message_bus.py | py | 2,802 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "librarius.service.uow.AbstractUnitOfWork",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "typing.Type",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_n... |
11324258537 | import pygame
from random import randint
from pygame.locals import *
pygame.init()
display_widht = 600
display_height = 360
spaceship_widht = 84
spaceship_height = 50
shots_x = []
shots_y = []
asteroids_x = []
asteroids_y = []
asteroids_type = []
gameDisplay = pygame.display.set_mode((display_widht, display_height... | macelai/star-wars | game.py | game.py | py | 3,439 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.init",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "pygame.display... |
22868194593 | import requests
from googletrans import Translator, LANGUAGES
import pickle
import webScraping
with open('Resources/API key/oxford.pck', 'rb') as file:
api_key = pickle.load(file)
app_id = api_key['app id']
app_key = api_key['app key']
url_base = 'https://od-api.oxforddictionaries.com/api/v2/'
la... | TroySigX/smartbot | dictionary.py | dictionary.py | py | 2,176 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "pickle.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number"... |
36846615388 | from typing import cast
from .kotlin_entities import (
KotlinEntity,
KotlinProperty,
KotlinEntityEnumeration,
PARSING_ERRORS_PROP_NAME,
ENTITY_STATIC_CREATOR
)
from ..base import Generator
from ... import utils
from ...config import GenerationMode, GeneratedLanguage, TEMPLATE_SUFFIX
from ...schema.... | divkit/divkit | api_generator/api_generator/generators/kotlin/generator.py | generator.py | py | 16,470 | python | en | code | 1,940 | github-code | 6 | [
{
"api_name": "base.Generator",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "config.generation",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "config.generation",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "config.g... |
18959073144 | import boto3
import time
import json
import configparser
from botocore.exceptions import ClientError
redshift_client = boto3.client('redshift', region_name='ap-southeast-1')
ec2 = boto3.resource('ec2', region_name='ap-southeast-1')
def create_udacity_cluster(config):
"""Create an Amazon Redshift cluster
Args... | hieutdle/bachelor-thesis | airflow/scripts/create_cluster.py | create_cluster.py | py | 2,942 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "boto3.client",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "boto3.resource",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "botocore.exceptions.ClientError",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "time.sleep"... |
23091348874 | '''
Epidemic modelling
YOUR NAME
Functions for running a simple epidemiological simulation
'''
import random
import sys
import click
# This seed should be used for debugging purposes only! Do not refer
# to this variable in your code.
TEST_SEED = 20170217
def has_an_infected_neighbor(city, location):
'''
... | MaxSaint01/pa1 | sir.py | sir.py | py | 13,436 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "random.random",
"line_number": 190,
"usage_type": "call"
},
{
"api_name": "random.seed",
"line_number": 218,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"line_number": 308,
"usage_type": "attribute"
},
{
"api_name": "sys.stderr",
"line_n... |
1422010768 | #Dilation and Erosion
import cv2
import matplotlib.pyplot as plt
import numpy as np
#-----------------------------------Dilation------------------------------
# Reads in a binary image
img = cv2.imread('j.png',0)
# Create a 5x5 kernel of ones
Kernel = np.ones((5,5), np.uint8)
'''
To dilate an image in OpenCV, yo... | haderalim/Computer-Vision | Types of features and Image segmentation/Dilation- Erosion- Opeining and Closing/test.py | test.py | py | 2,245 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "cv2.imread",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "cv2.dilate",
"line_number":... |
4501146166 | import asyncio
import contextlib
import types
import unittest
import pytest
from lsst.ts import salobj, watcher
from lsst.ts.idl.enums.Watcher import AlarmSeverity
# Timeout for normal operations (seconds)
STD_TIMEOUT = 5
class GetRuleClassTestCase(unittest.TestCase):
"""Test `lsst.ts.watcher.get_rule_class`.""... | lsst-ts/ts_watcher | tests/test_model.py | test_model.py | py | 18,435 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "lsst.ts.watcher.rules",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "lsst.ts.watcher",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "lss... |
3929101533 | from sqlalchemy import Column, INTEGER, Identity, String
from src.data_access.database.models.base_entity import InoversityLibraryBase
__all__ = [
"StaffEntity"
]
class StaffEntity(InoversityLibraryBase):
user_id = Column("id", INTEGER, Identity(), primary_key=True, index=True)
role_level = Column("role... | mariusvrstr/PythonMicroservice | src/data_access/database/models/staff_entity.py | staff_entity.py | py | 582 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "src.data_access.database.models.base_entity.InoversityLibraryBase",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.INTEGER",
"line_number": 11,
"usage_type":... |
4786996440 | #まだわからん。
from collections import defaultdict
n,k = map(int,input().split())
a = list(map(int,input().split()))
d = defaultdict(int)
right = 0
ans = 0 # 区間の最大を保存する。
kinds = 0
for left in range(n):
while right < n and kinds < k:
d[a[right]] += 1
right += 1
kinds = len(d)
print("while... | K5h1n0/compe_prog_new | typical90/034/main.py | main.py | py | 725 | python | ja | code | 0 | github-code | 6 | [
{
"api_name": "collections.defaultdict",
"line_number": 7,
"usage_type": "call"
}
] |
7436815802 | from pathlib import Path
from zoneinfo import ZoneInfo
import datetime
import sys
TIME_ZONE = ZoneInfo('US/Eastern')
def main():
station_name = sys.argv[1]
dir_path = Path(sys.argv[2])
file_paths = sorted(dir_path.glob('*.WAV'))
for file_path in file_paths:
move_file(file_path... | HaroldMills/Vesper | scripts/organize_audiomoth_wav_files_by_night.py | organize_audiomoth_wav_files_by_night.py | py | 1,464 | python | en | code | 47 | github-code | 6 | [
{
"api_name": "zoneinfo.ZoneInfo",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_numb... |
8833474558 | ########################################################
# Rodrigo Leite - drigols #
# Last update: 17/12/2021 #
########################################################
import pandas as pd
from matplotlib import pyplot as plt
df = pd.DataFrame(
{
... | drigols/studies | modules/math-codes/modules/statistics-and-probability/src/outliers-v2.py | outliers-v2.py | py | 804 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.DataFrame",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.savefig",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "matplotli... |
5609431554 | import gym
class SparseRewardWrapper(gym.Wrapper):
def __init__(self, env, sparse_level=-1, timestep_limit=-1):
super(SparseRewardWrapper, self).__init__(env)
self.sparse_level = sparse_level
self.timestep_limit = timestep_limit
self.acc_reward = 0
self.acc_t = 0
def st... | pfnet-research/piekd | sparse_wrapper.py | sparse_wrapper.py | py | 1,118 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "gym.Wrapper",
"line_number": 3,
"usage_type": "attribute"
}
] |
72519791227 | import json
from warnings import warn
# def init_from_config(meas_cls, config: dict):
# arg_str = ''
#
# for key, value in config.items():
# arg_str = key+'='+value
def export_measurement_config(obj, attr_keys=None):
if attr_keys is None:
attr_keys = obj.__init__.__code__.co_varnames
... | yyzidea/measurement-automation | utilities/measurement_helper.py | measurement_helper.py | py | 1,278 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "warnings.warn",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 45,
"usage_type": "call"
}
] |
16543455789 | from ai_chatbot.scripts import REDataHeader as Header
import dateparser
import datetime
def printData(data):
print('Station from : {0}'.format(data[Header.STATIONFROM]))
print('Station to : {0}'.format(data[Header.STATIONTO]))
print('departure date : {0}'.format(data[Header.DEPARTDATE]))
print('depart... | Grimmii/TrainChatBot | src/ai_chatbot/scripts/RE_function_booking.py | RE_function_booking.py | py | 2,542 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "ai_chatbot.scripts.REDataHeader.STATIONFROM",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "ai_chatbot.scripts.REDataHeader",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "ai_chatbot.scripts.REDataHeader.STATIONTO",
"line_number": 8,
... |
8380997732 | import os
from flask import Flask, jsonify, request
from math import sqrt
app = Flask(__name__)
@app.route('/')
def nao_entre_em_panico():
nmax = 50
n1 = 0
n2 = 1
cont = 0
fib = 0
res = "Essa é sequencia dos 50 primeiros números da razão de Fibonacci: <br> Desenvolvido por Jefferson Alves. ... | jeffersonpedroza/Docker | fibonacci.py | fibonacci.py | py | 606 | python | pt | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 28,
"usage_type": "attribute"
}
] |
2061469568 | from sklearn.preprocessing import StandardScaler
from sklearn import svm
class OneClassSVM:
def __init__(self, scaling=True):
self._scaling = scaling
def fit(self, X):
if self._scaling:
self._scaler = StandardScaler()
X = self._scaler.fit_transform(X)
X = X[:... | rom1mouret/cheatmeal | benchmarks/baselines/one_class_svm.py | one_class_svm.py | py | 559 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "sklearn.preprocessing.StandardScaler",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sklearn.svm.OneClassSVM",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sklearn.svm",
"line_number": 17,
"usage_type": "name"
}
] |
36837090213 | import streamlit as st
from streamlit_option_menu import option_menu
import math
import datetime
from datetime import date
import calendar
from PIL import Image
from title_1 import *
from img import *
with open('final.css') as f:
st.markdown(f"<style>{f.read()}</style>",unsafe_allow_html=True)
def av... | Deepsphere-AI/AI-lab-Schools | Grade 08/Application/find_avg.py | find_avg.py | py | 1,787 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "streamlit.markdown",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "streamlit.markdown",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "streamlit.columns",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "streamlit.col... |
33359791664 | import sys
import unittest
import psycopg2
sys.path.insert(0, '../src')
from src.utils import daily_reports_return_json, daily_reports_return_csv, time_series_return_csv, check_query_data_active, check_request
from src.config import connect_database
# import copy
class TestUtils(unittest.TestCase):
def __init__... | shin19991207/CSC301-A2 | tests/test_utils.py | test_utils.py | py | 4,518 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.path.insert",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "unittest.TestCase",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "src.config.connect... |
25849292828 | # imports
import socket
import json
def extractData(ledger):
ledger = ledger['ledger']
title = ledger['title']
date = ledger['date']
people = [person['name'] for person in ledger['people']]
people = ', '.join(people)
summary = ledger['summary']
items = ledger['transactions']
htmlTable =... | alexcw08/email-microservice | server.py | server.py | py | 2,524 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "socket.socket",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 52,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_STREAM",
"line_number": 52,
"usage_type": "attribute"
},
{
"api_name": "json.loads"... |
38160567413 | #import bpy
from random import seed
from random import uniform
import numpy as np
import cv2
# seed random number generator
seed(1)
"""
def test1():
# make mesh
vertices = [(1, 0, 0),(1,0,5),(0,1,0)]
edges = []
faces = []
faces.append([0,1,2])
faces.append([2,0,3])
#new_mesh = bpy.data.m... | olaals/masteroppgave-old | src/testing/blender/generate-mesh/generate-alu-parts/generate-test.py | generate-test.py | py | 5,601 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "random.seed",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 88,
"usage_type": "call"
},
{
"api_name": "cv2.circle",
"line_number": 95,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 96,... |
39263007416 | import datetime as datetime
import json
from django.db.models import Q
from django.test import override_settings
from mock import MagicMock, patch
from rest_framework.status import HTTP_403_FORBIDDEN, HTTP_201_CREATED
from eums.models import MultipleChoiceAnswer, TextAnswer, Flow, Run, \
NumericAnswer, Alert, Run... | unicefuganda/eums | eums/test/api/test_web_answers_end_point.py | test_web_answers_end_point.py | py | 18,674 | python | en | code | 9 | github-code | 6 | [
{
"api_name": "eums.test.config.BACKEND_URL",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "eums.test.api.authorization.authenticated_api_test_case.AuthenticatedAPITestCase",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "mock.MagicMock",
"line_number":... |
21334940324 | import logging
import re
import urlparse
find_href = re.compile(r'\bhref\s*=\s*(?!.*mailto:)(?!.*mailto:)("[^"]*"|\'[^\']*\'|[^"\'<>=\s]+)')
# FYI: added a workaround to not to break inline akavita counter script
find_src = re.compile(r'\bsrc\s*=\s*("[^"\']*"|\'[^"\']*\'|[^"\'<>=\s;]{... | stachern/bseu_fm | hooks/subdir.py | subdir.py | py | 1,410 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "re.compile",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "urlparse.urlparse",
"line_number... |
22088681014 |
from helpers import setup_logger
menu_name = "Hardware test"
from threading import Event, Thread
from traceback import format_exc
from subprocess import call
from time import sleep
import sys
import os
from ui import Menu, Printer, PrettyPrinter, GraphicsPrinter
from helpers import ExitHelper, local_path_gen
logg... | LouisPi/piportablerecorder | apps/test_hardware/main.py | main.py | py | 4,539 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "helpers.setup_logger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "threading.Event",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "helpers.local_path_gen",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.listdi... |
15751603227 | from elasticsearch import Elasticsearch, exceptions
import json, time
import itertools
from project import config
class SelectionAnalytics():
'''
SelectionAnalytics class
data analytics - elasticsearch
'''
# declare globals for the Elasticsearch client host
DOMAIN = config.DOMAIN
LO... | flabastie/news-analysis | project/queries/selection.py | selection.py | py | 11,437 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "project.config.DOMAIN",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "project.config",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "project.config.LOGIN",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "p... |
70780596348 | from flask import Flask, render_template, request
from modelo import modelagemPredicao
from data import gerarNovosDados
app = Flask(__name__, template_folder='templates', static_folder='static')
@app.route('/', methods=['GET', 'POST'])
def index():
# variáveis auxiliares
partidas = 0
precisaomedalha = 0
... | stardotwav/Dota2Predictor | web service/app.py | app.py | py | 2,788 | python | pt | code | 2 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "flask.request.form... |
37379251526 | import os
import glob
import numpy as np
import time
from osgeo import gdal
from osgeo import ogr
from osgeo import osr
from configs import *
def merge_shp(shp_list, save_dir):
"""merge shapefiles in shp_list to a single shapefile in save_dir
Args:
shp_list (list): _description_
save_dir (str)... | faye0078/RS-ImgShp2Dataset | make_dataset/shp_functions.py | shp_functions.py | py | 8,144 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_... |
21041808334 | """Pytorch dataset module"""
import json
from glob import glob
from pathlib import Path
import albumentations as A
import cv2
import numpy as np
import torch
from albumentations.pytorch import ToTensorV2
from torch import Tensor
from torch.utils.data import Dataset
from data.config import DataConfig, keypoint_indice... | mohamad-hasan-sohan-ajini/deep_fashion_2 | data/data_pt.py | data_pt.py | py | 7,291 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "albumentations.Compose",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "albumentations.LongestMaxSize",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "data.config.DataConfig.IMAGE_SIZE",
"line_number": 19,
"usage_type": "attribute"
}... |
21894452141 | from dsa_stack import DSAStack
import sys
from typing import Union
class TowersOfHanoi:
def __init__(self, num_pegs: int, num_disks: int) -> None:
self.num_pegs = num_pegs
self.num_disks = num_disks
self.pegs = [
DSAStack(num_disks),
DSAStack(num_disks),
... | MC-DeltaT/DSA-Practicals | P2/towers_of_hanoi.py | towers_of_hanoi.py | py | 3,845 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "dsa_stack.DSAStack",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "dsa_stack.DSAStack",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "dsa_stack.DSAStack",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "typing.Union... |
13114754891 | import requests
import tkinter.messagebox
user = open('user.txt','r').read().splitlines()
def checking():
for users in user:
tik = (f'https://m.tiktok.com/node/share/user/@{users}')
head = {
'accept':'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/... | 8-wrk/TikCheck | Check.py | Check.py | py | 1,463 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "tkinter.messagebox.messagebox.showinfo",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "tkinter.messagebox.messagebox",
"line_number": 23,
"usage_type": "attribute"
},
{... |
31628139132 | # fastapi
from fastapi import APIRouter
from fastapi_sqlalchemy import db
# starlette
from starlette.requests import Request
# models
from server.models import User
router = APIRouter(
prefix="/accounts",
tags=["accounts"],
dependencies=[],
responses={
400: {"description": "Bad request"}
... | RajeshJ3/arya.ai | server/accounts/account_controllers.py | account_controllers.py | py | 525 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "starlette.requests.Request",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "fastapi_sqlalchemy.db.session.query",
"line_number": 24,
"usage_type": "call"
},
{
"... |
72510037949 | from django import forms
from django.contrib.auth.models import User
from django.contrib.auth.forms import UserCreationForm
from .models import Profile
from crispy_forms.helper import FormHelper
from crispy_forms.layout import Layout, Submit, HTML, Div, Row, Column, Fieldset
from crispy_forms.bootstrap import InlineRad... | userksv/carsbay | users/forms.py | forms.py | py | 3,773 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.contrib.auth.forms.PasswordResetForm",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.models.User.objects.filter",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.User.objects",
"line_nu... |
15142385428 | import requests
from flask import redirect, url_for, flash
from app.github import bp
from app.github.functions import request_interface
@bp.route('/update-database', methods=['GET', 'POST'])
async def update_database():
# get all repos sorted by star rating
# The max number of items per page is 100
url ... | Red-Hammer/most-starred-python-repos | app/github/routes.py | routes.py | py | 872 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "requests.exceptions",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "flask.flash",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "flask.redirect",
... |
19325512904 | from statsmodels.tsa.seasonal import seasonal_decompose
from dateutil.parser import parse
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
df = pd.read_csv('../timeserie_train.csv',
parse_dates=['data'],
index_col='data',
squeeze=True)
# Multiplicative Decomposition
result_mul = seasonal_d... | gsilva49/timeseries | H/python_code/decom.py | decom.py | py | 1,379 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "statsmodels.tsa.seasonal.seasonal_decompose",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "statsmodels.tsa.seasonal.seasonal_decompose",
"line_number": 16,
"usage_type":... |
21099702516 | from sklearn import svm
import sklearn.linear_model.stochastic_gradient as sg
from sklearn.model_selection import GridSearchCV as grid
import numpy
#linear kernel support vector machine using tf-idf vectorizations
class SVM:
train_X = []
train_Y = []
test_X = []
test_Y = []
def __init__(self, train_... | hadarohana/Tweets | Tweets/SVM.py | SVM.py | py | 1,710 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sklearn.feature_extraction.text.TfidfVectorizer",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.stochastic_gradient.SGDClassifier",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.stochastic_gradient",... |
38217506704 |
import matplotlib.pyplot as plt
from matplotlib.lines import Line2D
import matplotlib.animation as animation
import matplotlib.patches as mpatches
from matplotlib import ticker
from matplotlib import cm
from matplotlib.ticker import FuncFormatter
import numpy as np
from utils.occ_map_utils import load_map, display_oc... | stomachacheGE/bofmp | tracking/animation.py | animation.py | py | 17,318 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.animation.pause",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.animation",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "matplotlib.animation.event_source.stop",
"line_number": 20,
"usage_type": "call"
}... |
1396103450 | from django.shortcuts import render, redirect, reverse
from django.http import JsonResponse
from django.forms import ValidationError
from .models import *
import pyshorteners
def index(request):
data = {}
if request.method == "POST":
try:
l = Link()
s = pyshorteners.Shortener()
... | jennytoc/url-shortener | url_shortener_app/views.py | views.py | py | 976 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pyshorteners.Shortener",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.redirect",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.reverse",
"line_number": 17,
"usage_type": "call"
},
{
"api_nam... |
72994074107 | import torch.nn as nn
import torch
class NetworksFactory:
def __init__(self):
pass
@staticmethod
def get_by_name(network_name, *args, **kwargs):
################ Ours #################
if network_name == 'Ours_Reconstruction':
from networks.Ours_Reconstruction import N... | Lynn0306/LEDVDI | CODES/networks/networks.py | networks.py | py | 1,012 | python | en | code | 20 | github-code | 6 | [
{
"api_name": "networks.Ours_Reconstruction.Net",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "networks.Ours_DeblurOnly.Net",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.nn.Module",
"line_number": 28,
"usage_type": "attribute"
},
{
... |
16164892137 | from flask import Flask, request, jsonify, abort, Response, redirect
from flask_sqlalchemy import SQLAlchemy
from flask_cors import CORS
from os import environ
import sys
import os
import asyncio
import requests
from invokes import invoke_http
import pika
import amqp_setup
import json
from datetime import datetime
... | ESDeezknee/ESDeezknee | order/order.py | order.py | py | 9,606 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
... |
10117546059 | import pytest
from dao.genre import GenreDAO
from service.genre import GenreService
class TestGenreService:
@pytest.fixture(autouse=True)
def genre_service(self, genre_Dao: GenreDAO):
self.genre_service = GenreService(genre_Dao)
def test_get_one(self):
certain_genre = self.genre_service.... | AgzigitovOskar/CR_4_Agzigitov | tests/service_tests/genre_service.py | genre_service.py | py | 618 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "dao.genre.GenreDAO",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "service.genre.GenreService",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 8,
"usage_type": "call"
}
] |
37974828359 | '''
Program to be called from cron for working with lights - on and off
This is a wrapper for the Client, handling command line parameters
Author: Howard Webb
Date: 2/10/2021
'''
import argparse
from exp import exp
from GrowLight import GrowLight
parser = argparse.ArgumentParser()
# list of acceptable arg... | webbhm/GBE-Digital | python/Light_Switch.py | Light_Switch.py | py | 538 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "GrowLight.GrowLight",
"line_number": 17,
"usage_type": "call"
}
] |
32644084947 | import maya.cmds as cmds
import pymel.core as pm
from mgear.core import attribute
ATTR_SLIDER_TYPES = ["long", "float", "double", "doubleLinear", "doubleAngle"]
DEFAULT_RANGE = 1000
# TODO: filter channel by color. By right click menu in a channel with color
def init_table_config_data():
"""Initialize the di... | mgear-dev/mgear4 | release/scripts/mgear/animbits/channel_master_utils.py | channel_master_utils.py | py | 9,005 | python | en | code | 209 | github-code | 6 | [
{
"api_name": "maya.cmds.nodeType",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "maya.cmds",
"line_number": 50,
"usage_type": "name"
},
{
"api_name": "maya.cmds.listAttr",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "maya.cmds",
"line... |
36154798504 | import streamlit as st
st.set_option('deprecation.showPyplotGlobalUse', False)
# for manipulation
import pandas as pd
import numpy as np
# for data visualization
import matplotlib.pyplot as plt
import seaborn as sns
sns.set(style="ticks")
plt.style.use("dark_background")
#sns.set_style('whitegrid')
# t... | Jkauser/Agricultural-Production-Optimization-Engine | app.py | app.py | py | 10,888 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "streamlit.set_option",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "seaborn.set",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style.use",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotli... |
38928831481 | import os
from dotenv import load_dotenv
import requests
from lxml import etree
import re
from postgres import cursor, connection
from slugify import slugify
load_dotenv()
# --------------------------
# link đến trang hình ảnh của chapter
nettruyen = os.getenv("PUBLIC_NETTRUYEN_URL")
def openWebsite(domain: str):
... | baocuns/BCunsAutoCrawls | crawlChaptersNettruyenToPostgres.py | crawlChaptersNettruyenToPostgres.py | py | 2,686 | python | vi | code | 0 | github-code | 6 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "requests.request",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "postgres.cursor.execute... |
14992716515 | #!/usr/bin/env python
# coding: utf-8
# In[37]:
# Questions for 10/28 meeting:
# Test set -> Should the test be just one game? Answer: Leave it the way it is for now.
# Train set -> Should we duplicate previous games to add weighting? Answer: Yes.
## November 6th, 2020 Backend Meeting ##
# 4 Factors to include for... | oohshan/SmartGameGoalsGenerator | passenger.py | passenger.py | py | 15,323 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pandas.set_option",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "pandas.set_option",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "pandas.merge",
... |
8042412809 | import tornado.web
import tornado.ioloop
import tornado.httpserver
import tornado.options
# define parameter,like --port=9000 list=a,b,c,de,
tornado.options.define("port", default=8000, type=None)
tornado.options.define("list", default=[], type=str, multiple=True)
class IndexHandler(tornado.web.RequestHandler):
... | zuohd/python-excise | tornado/server04.py | server04.py | py | 847 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tornado.web.options.define",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "tornado.web.options",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "tornado.web",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "tornado.... |
34859170758 | #####
# Remove "warn" logs from spark
#####
from os.path import abspath
from pyspark.sql import SparkSession
# warehouse_location points to the default location for managed databases and tables
warehouse_location = abspath('spark-warehouse')
spark = SparkSession \
.builder \
.appName("Pyspark integration wit... | zaka-ai/data-engineer-track | Big_data_warehousing_in_hadoop/hive_hands_on/2_hive_partitioning_pyspark_integration/2_2_hive_with_pyspark.py | 2_2_hive_with_pyspark.py | py | 828 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.abspath",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder.appName",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 11,
"usage_type": "attribute"
... |
41559253356 | from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.ui import WebDriverWait as wait
from selenium.webdriver.common.action_chains import ActionChains as ... | cermen/SecondCompanyScraping | scrap.py | scrap.py | py | 8,973 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.support.ui.WebDriverWait",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.support.expected_conditions.element_to_be_clickable",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.support.exp... |
13437468850 | # Display a runtext with double-buffering.
import sys
sys.path.append("matrix/bindings/python/samples")
from samplebase import SampleBase
from rgbmatrix import graphics
import time
from PIL import Image
import requests
import json
import threading
from threading import Thread
from queue import Queue
import traceback
... | aqwesd8/MTAProject | mtatext.py | mtatext.py | py | 7,270 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "logging.basicConfig",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"... |
31008546048 | from flask import Flask
from flask_pymongo import PyMongo
from flask import Response
import random
import requests
from flask import request
import json
from itsdangerous import (TimedJSONWebSignatureSerializer
as Serializer, BadSignature, SignatureExpired)
from flask import jsonify
from bson.... | SvTitov/tasker | SRV/tasker_srv/application.py | application.py | py | 5,493 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "flask_pymongo.PyMongo",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "bson.json_util.default",... |
20489742276 | import scipy
from scipy.special import logsumexp
from sklearn.cluster import KMeans
from sklearn.cluster import SpectralClustering
from sklearn.linear_model import LogisticRegression
from sklearn.svm import SVC, SVR
from ucsl.sinkhornknopp_utils import *
def one_hot_encode(y, n_classes=None):
''' utils function ... | rlouiset/py_ucsl | ucsl/utils.py | utils.py | py | 6,772 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "scipy.special.logsumexp",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "scipy.linalg.eigh",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "scipy.linalg",
"line_number": 47,
"usage_type": "attribute"
},
{
"api_name": "scipy.lin... |
23476634886 | import joblib
wordsTB = ["'s", ',', 'keywords', 'Twitter', 'account', 'a', 'all', 'anyone', 'are', 'awesome', 'be', 'behavior', 'by', 'bye', 'can', 'chatting', 'check', 'could', 'data', 'day', 'detail', 'do', 'dont', 'find', 'for', 'give', 'good', 'goodbye', 'have', 'hello', 'help', 'helpful', 'helping', 'hey', 'hi'... | kaitong-li/Twitter-Bot | Twitter Bot/generatePkl.py | generatePkl.py | py | 906 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "joblib.dump",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "joblib.dump",
"line_number": 6,
"usage_type": "call"
}
] |
27579907019 | from pyspark import SparkConf
from pyspark.context import SparkContext
from pyspark.sql.session import SparkSession
conf = SparkConf().set("spark.cores.max", "32") \
.set("spark.driver.memory", "50g") \
.set("spark.executor.memory", "50g") \
.set("spark.executor.memory_overhead", "50g") \
.set("spark.dr... | thuy4tbn99/spark_instacart | baskets.py | baskets.py | py | 2,095 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pyspark.SparkConf",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pyspark.context.SparkContext",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.session.SparkSession",
"line_number": 11,
"usage_type": "call"
},
{
"ap... |
72330666747 | # TEE RATKAISUSI TÄHÄN:
import pygame
pygame.init()
naytto = pygame.display.set_mode((640, 480))
robo = pygame.image.load("robo.png")
leveys, korkeus = 640, 480
x = 0
y = 0
suunta = 1
kello = pygame.time.Clock()
while True:
for tapahtuma in pygame.event.get():
if tapahtuma.type == pygame.QUIT:
... | jevgenix/Python_OOP | osa13-06_reunan_kierto/src/main.py | main.py | py | 796 | python | fi | code | 4 | github-code | 6 | [
{
"api_name": "pygame.init",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "pygame.image.loa... |
18711654900 | import argparse
import logging
from pathlib import Path
from typing import List
import yaml
from topaz3.conversions import phase_remove_bad_values, phase_to_map
from topaz3.database_ops import prepare_labels_database, prepare_training_database
from topaz3.delete_temp_files import delete_temp_files
from topaz3.get_cc ... | mevol/python_topaz3 | topaz3/prepare_training_data.py | prepare_training_data.py | py | 14,661 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "logging.info",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "logging.error",
"line_numbe... |
69936276028 | import torch.nn as nn
import torch.optim as optimizers
from nlp.generation.models import CharLSTM
class CharLSTMTrainer:
def __init__(self,
model: CharLSTM,
vocab_size: int,
learning_rate: float = 1e-3,
weights_decay: float = 1e-3,
... | Danielto1404/bachelor-courses | python-backend/projects/nlp.ai/nlp/generation/trainers.py | trainers.py | py | 1,129 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "nlp.generation.models.CharLSTM",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torch.nn.CrossEntropyLoss",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "torc... |
39680498179 | """ General functions for data_tables and data_table_manager
We are using a class here just to make it easier to pass around
"""
import logging
import pprint
import subprocess
from pathlib import Path
import re
from typing import Union
import matplotlib.pyplot as mpl
import numpy as np
import pandas as pd
from py... | marsiwiec/ephys | ephys/gui/data_table_functions.py | data_table_functions.py | py | 51,215 | python | en | code | null | github-code | 6 | [
{
"api_name": "ephys.tools.utilities.Utility",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "ephys.tools.utilities",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "pylibrary.tools.cprint.cprint",
"line_number": 25,
"usage_type": "attribute"
},
{... |
8056801684 | """
Static Pipeline representation to create a CodePipeline dedicated to building
Lambda Layers
"""
from troposphere import (
Parameter,
Template,
GetAtt,
Ref,
Sub
)
from ozone.handlers.lambda_tools import check_params_exist
from ozone.resources.iam.roles.pipeline_role import pipelinerole_build
fr... | lambda-my-aws/ozone | ozone/templates/awslambdalayer_pipeline.py | awslambdalayer_pipeline.py | py | 2,782 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "ozone.handlers.lambda_tools.check_params_exist",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "troposphere.Template",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "troposphere.Parameter",
"line_number": 37,
"usage_type": "call"
},
... |
6757711914 | import json
import sys
import os.path
from mutagen.id3 import (ID3, CTOC, CHAP, TIT2, TALB,
TPE1, COMM, USLT, APIC, CTOCFlags)
audio = ID3(sys.argv[1])
if len(sys.argv) > 2:
data = json.loads(sys.argv[2])
chapters = data["chapters"]
ctoc_ids = list(map(lambda i: i.get("id"), chapt... | lukekarrys/audiobook | id3.py | id3.py | py | 1,967 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "mutagen.id3.ID3",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"line_numbe... |
35164168406 | #!/usr/bin/python3
import os
import json
import html
import random
import string
import threading
import subprocess
from bottle import app, error, post, request, redirect, route, run, static_file
from beaker.middleware import SessionMiddleware
session_opts = {
'session.type': 'file',
'session.data_dir': './cfg/',
... | Cameron-IPFSPodcasting/podcastnode-Umbrel | webui.py | webui.py | py | 9,972 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "beaker.middleware.SessionMiddleware",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "bottle.app",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "bottle.request.environ.get",
"line_number": 18,
"usage_type": "call"
},
{
"api_nam... |
71552358588 | import pyttsx3
import datetime
import speech_recognition as sr
import wikipedia
import webbrowser
import os, os.path
import smtplib
import random
import win32gui
import win32con
try:
engine=pyttsx3.init('sapi5')
voices=engine.getProperty('voices')
print(voices[0].id)
engine.setProperty('voice',voic... | IamVicky90/Desktop-AI | task.py | task.py | py | 10,566 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pyttsx3.init",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "webbrowser.get",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",... |
32653169006 | from flask import Flask, send_file, send_from_directory, safe_join, abort
app = Flask(__name__)
# app.config["CLIENT_IMAGES"] = "/home/mahima/console/static/client/img"
app.config["CLIENT_IMAGES"] = "/home/lenovo/SEproject/OpsConsole/api/static"
# The absolute path of the directory containing CSV files for users to... | trishu99/Platypus | api/static/fileserver.py | fileserver.py | py | 882 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "flask.send_from_directory",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "flask.abort",
"line_number": 20,
"usage_type": "call"
}
] |
71943493307 | import csv
import math
import sys
import numpy as np
import matplotlib.pyplot as plt
from sklearn.feature_selection import chi2, f_regression, mutual_info_regression
def mylog(x):
if x==0:
return -10000000000
else:
return math.log(x)
def entropy(probs, neg, pos):
'''
entropy for bin... | Arnabjana1999/scoring_models | feature_selectors.py | feature_selectors.py | py | 2,740 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "math.log",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
... |
27216859235 | from django.conf.urls.defaults import patterns, include, url
# Uncomment the next two lines to enable the admin:
from django.contrib import admin
admin.autodiscover()
urlpatterns = patterns('',
# Examples:
(r'^$', 'rss_duna.feed.views.home'),
# url(r'^myproject/', include('myproject.foo.urls')),
# Un... | yonsing/rss_duna | urls.py | urls.py | py | 965 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.contrib.admin.autodiscover",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.conf.urls.defaults.patterns",
"line_number": 7,
"usage_type": "call"
},
{... |
73583270588 | #!/usr/bin/python
# coding: utf-8
from flask import Flask, Blueprint, flash, g, redirect, render_template, request, url_for, session
import os
app = Flask(__name__)
tests = []
class TestObj:
def __init__(self, name, path):
self.name = name
self.path = path+self.name
self.countfile = self.pa... | rjames711/automation | flaskweb/app.py | app.py | py | 1,568 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "flask.request.form... |
25760910262 | import random
import numpy as np
from keras.models import Sequential
from keras.layers import Dense, LSTM
# Define the RNN model
model = Sequential()
model.add(LSTM(64, input_shape=(1, 1)))
model.add(Dense(1, activation='linear'))
model.compile(optimizer='adam', loss='mean_squared_error')
balance = 100
be... | atleastimnotgay/python | 3cups_prediction.py | 3cups_prediction.py | py | 1,897 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "keras.models.Sequential",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "keras.layers.LSTM",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "keras.layers.Dense",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "random.rand... |
19882566170 | from jinja2 import Environment, BaseLoader, TemplateNotFound
import importlib_resources
class PackageLoader(BaseLoader):
def __init__(self, path):
self.path = path
def get_source(self, environment, template):
from backendService import templates
try:
source = importlib_re... | bitlogik/guardata | backendService/templates/__init__.py | __init__.py | py | 648 | python | en | code | 9 | github-code | 6 | [
{
"api_name": "jinja2.BaseLoader",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "importlib_resources.read_text",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "backendService.templates",
"line_number": 13,
"usage_type": "name"
},
{
"api_name"... |
41014218939 | #coding=utf-8
import numpy as np
import pyten
from scipy import stats
from pyten.method.PoissonAirCP import PoissonAirCP
from pyten.method import AirCP
from pyten.tools import tenerror
from pyten.method import cp_als
from pyten.method import falrtc,TNCP
import matplotlib.pyplot as plt
#参数设置
missList = [0.7]
duplicat... | yangjichen/ExpCP | realdata/GDELT_step3.py | GDELT_step3.py | py | 7,907 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.sum",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.pairwise.cosine_similarity",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "numpy.... |
2958627650 | import Algorithmia
import logging
import os
LOG_FOLDER = 'logs'
if os.path.exists(LOG_FOLDER) is False:
os.mkdir(LOG_FOLDER)
logging.basicConfig(filename=LOG_FOLDER + '/' + __name__ + '.log', format='[%(asctime)s] %(message)s\n\n',
level=logging.DEBUG)
api_key = None
def get_emotion(photo: b... | FunRobots/candybot_v2 | src/coffebot/vision/utils/algorithmia.py | algorithmia.py | py | 3,841 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.exists",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_num... |
10424214131 | #-*- coding: utf-8 -*-
u"""
@author: Martí Congost
@contact: marti.congost@whads.com
@organization: Whads/Accent SL
@since: October 2008
"""
import cherrypy
from cocktail.modeling import cached_getter
from woost.controllers.publishablecontroller import PublishableController
class DocumentController(PublishableCo... | marticongost/woost | woost/controllers/documentcontroller.py | documentcontroller.py | py | 1,181 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "woost.controllers.publishablecontroller.PublishableController",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "cherrypy.NotFound",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "cherrypy.HTTPRedirect",
"line_number": 29,
"usage_type": ... |
27009828768 | from sklearn.linear_model import LassoCV
def run(x_train, y_train, x_test, y_test, eps, n_alphas, alphas, fit_intercept, normalize, precompute, max_iter, tol, copy_X, cv, verbose, n_jobs,
positive, random_state, selection):
reg = LassoCV(eps=eps,
n_alphas=n_alphas,
alph... | lisunshine1234/mlp-algorithm-python | machine_learning/regression/linear_models/lassoCV/run.py | run.py | py | 1,314 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sklearn.linear_model.LassoCV",
"line_number": 6,
"usage_type": "call"
}
] |
4993994587 | # -*- coding: utf-8 -*-
"""
Created on Sat Oct 19 13:04:11 2019
@author: Diego Wanderley
@python: 3.6
@description: Train script with training class
"""
import tqdm
import argparse
import torch
import torch.optim as optim
import numpy as np
from torch.utils.data import DataLoader
from torch.utils.tensorboard import S... | dswanderley/detntorch | python/train_yolo.py | train_yolo.py | py | 12,881 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "torch.optim",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "torch.save",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 102,
"usage_type": "call"
},
{
"api_name": "torch.autograd.Variable",
"line... |
3986831730 | """The abstract class for http routing"""
from abc import ABCMeta, abstractmethod
from typing import AbstractSet, Any, Mapping, Tuple
from .http_callbacks import HttpRequestCallback
from .http_response import HttpResponse
class HttpRouter(metaclass=ABCMeta):
"""The interface for an HTTP router"""
@property... | rob-blackbourn/bareASGI | bareasgi/http/http_router.py | http_router.py | py | 1,583 | python | en | code | 26 | github-code | 6 | [
{
"api_name": "abc.ABCMeta",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "abc.abstractmethod",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "http_response.HttpResponse",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "http_respon... |
21729046794 | import firebase_admin
from firebase_admin import db
from flask import jsonify
from hashlib import md5
from random import randint
from time import time
from time import time, sleep
firebase_admin.initialize_app(options={
'databaseURL': 'https://copy-passed.firebaseio.com',
})
waitlist = db.reference('waitlist')
id... | ocular-data/copy-passed-firebase | python_functions/authenticator/main.py | main.py | py | 2,575 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "firebase_admin.initialize_app",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "firebase_admin.db.reference",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "firebase_admin.db",
"line_number": 13,
"usage_type": "name"
},
{
"api_na... |
15581775407 | #!/usr/bin/env python
import pygame
import constants
from network import Type
import physical_object
from physical_object import PhysicalObject
import bullet
import math
from pygame.rect import Rect
import play_sound
from pygame import mixer
from pygame.mixer import Sound
TURRET_WIDTH = 24
TURRET_HEIGHT = 28
GUN_CHA... | Nayruden/GameDev | turret.py | turret.py | py | 4,330 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "physical_object.PhysicalObject",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "network.Type.TURRET",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "network.Type",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "... |
39959163393 | # to build, use "cd (playsong directory)"
# pyinstaller --onefile playSong.py
#lib imports
import keyboard
import threading
import time
import os
import re
#local imports
from settings import SETTINGS,map_velocity,apply_range_bounds
global isPlaying
global midi_action_list
isPlaying = False
storedIndex = 0
convers... | eddiemunson/nn | playSong.py | playSong.py | py | 7,532 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "keyboard.release",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "keyboard.press",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "keyboard.press",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "keyboard.release",
... |
74626753147 | #%%
import matplotlib.pyplot as plt
import matplotlib.font_manager as fm
import matplotlib.ticker as ticker
from matplotlib import rcParams
import numpy as np
from highlight_text import fig_text
import pandas as pd
from PIL import Image
import urllib
import os
df = pd.read_csv("success_rate_2022_2023.csv", index_col ... | array-carpenter/14thstreetanalytics | success_rate_comparison/success_rate_comparison.py | success_rate_comparison.py | py | 4,223 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "matplotlib... |
1956715633 | from collections import deque
ulaz = open('ulaz.txt', 'r')
sve = ulaz.read()
ulaz.close()
igrači = sve.split('\n\n')
prvi = deque(igrači[0].split('\n')[1:])
drugi = deque(igrači[1].split('\n')[1:])
while len(prvi) != 0 and len(drugi) != 0:
a = int(prvi.popleft())
b = int(drugi.popleft())
if a > b:... | bonkach/Advent-of-Code-2020 | 22a.py | 22a.py | py | 582 | python | hr | code | 1 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 7,
"usage_type": "call"
}
] |
18262922550 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import sys
import types
import re
import subprocess
import unitTestUtil
import logging
sensorDict = {}
util_support_map = ['fbttn', 'fbtp', 'lightning', 'minipack', 'fby2... | WeilerWebServices/Facebook | openbmc/tests/common/sensorTest.py | sensorTest.py | py | 6,525 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "sys.exit",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 60,
"... |
29180093984 | from bs4 import BeautifulSoup as soup
from urllib.request import urlopen as uReq
from datetime import datetime as dt
import re
import copy
import MySQLdb
dataBase = MySQLdb
userInput1 = str(input("Please Provide with Calendar link: "))
userInput2 = str(input("Please Provide a file name ending in .sql: "))
userInp... | ZbonaL/WebScraper | webscraper-Important-Dates.py | webscraper-Important-Dates.py | py | 7,088 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "urllib.request.urlopen",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "re.match",
"lin... |
16799554480 | import argparse
from pathlib import Path
import sys
# Add aoc_common to the python path
file = Path(__file__)
root = file.parent.parent
sys.path.append(root.as_posix())
import re
from functools import lru_cache
from math import inf
parser = argparse.ArgumentParser()
parser.add_argument('--sample', '-s', help='Run wi... | mrkirby153/AdventOfCode2022 | day16/day16.py | day16.py | py | 3,973 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pathlib.Path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
... |
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