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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
18430213970 | from utils import AttrDict
from single_factor_test.config import parse_config
from data_source import data_source
from single_factor_test.factor_list import *
from single_factor_test.selfDefinedFactors import *
from utils.disk_persist_provider import DiskPersistProvider
from datetime import datetime
from utils.tool_fun... | wanhanwan/FactorLib | generate_stocks/templates.py | templates.py | py | 5,276 | python | en | code | 6 | github-code | 7 | [
{
"api_name": "os.path.join",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "utils.disk_persist_provider.DiskP... |
24558749657 | from typing import Dict, List
from langchain_community.agent_toolkits.base import BaseToolkit
from langchain_community.tools import BaseTool
from langchain_community.tools.clickup.prompt import (
CLICKUP_FOLDER_CREATE_PROMPT,
CLICKUP_GET_ALL_TEAMS_PROMPT,
CLICKUP_GET_FOLDERS_PROMPT,
CLICKUP_GET_LIST_PR... | langchain-ai/langchain | libs/community/langchain_community/agent_toolkits/clickup/toolkit.py | toolkit.py | py | 3,594 | python | en | code | 68,990 | github-code | 7 | [
{
"api_name": "langchain_community.agent_toolkits.base.BaseToolkit",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "langchain_community.tools.BaseTool",
"line_number": 32,
"usage_type": "na... |
74259353184 | from django.db import models
# Create your models here.
from django.utils import timezone
# class Product(models.Model):
# PRODUCT_
from django.utils import timezone
class Product(models.Model):
PRODUCTS_CHOICES = (
('家用机器人', '家用机器人'),
('智能监控', '智能监控'),
('人脸识别解决方案', '人脸识别解决方案'),
... | HUANYUESS/MyHengDaProject | productsApp/models.py | models.py | py | 2,137 | python | zh | code | 0 | github-code | 7 | [
{
"api_name": "django.db.models.Model",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 16,
"usage_type": "call"
},
{
"api_name"... |
72160717982 | import asyncio
from typing import Tuple, Any, List, Optional
import aiohttp
import pandas as pd
import pytz
from pandas import DataFrame, Timestamp
from tqdm import tqdm
from finclaw.data_store.schema import OHCL, STOCK_SYMBOL
from finclaw.data_store.store import PriceStore
from finclaw.vendor.fmp import fmp_client
i... | Bobrinik/finclaw | finclaw/vendor/fmp/fmp.py | fmp.py | py | 3,356 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "aiohttp.ClientSession",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "finclaw.vendor.fmp.fmp_client.get_symbols",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "finclaw.vendor.fmp.fmp_client",
"line_number": 20,
"usage_type": "na... |
72864488542 | import torch.nn as nn
import torch.nn.functional as F
class Basic3DBlock(nn.Module):
def __init__(self, in_planes, out_planes, kernel_size):
super(Basic3DBlock, self).__init__()
self.block = nn.Sequential(
nn.Conv3d(in_planes, out_planes, kernel_size=kernel_size, stride=1, padding=((ke... | Ascend/ModelZoo-PyTorch | PyTorch/contrib/cv/pose_estimation/VoxelPose/lib/models/v2v_net.py | v2v_net.py | py | 4,255 | python | en | code | 31 | github-code | 7 | [
{
"api_name": "torch.nn.Module",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_n... |
34026982065 | import cv2
from mtcnn import MTCNN
# load image
img = cv2.imread("test.jpg")
# initialize MTCNN detector
detector = MTCNN()
# detect faces using MTCNN
results = detector.detect_faces(img)
# iterate over each detected face
for result in results:
# extract bounding box coordinates
x1, y1, width, height = resu... | Maddy-robos/faceDetect_Sample | another_main.py | another_main.py | py | 824 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "cv2.imread",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "mtcnn.MTCNN",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.rectangle",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "cv2.circle",
"line_number": 28... |
42431098748 | bl_info = {
"name": "come back cursor",
"author": "1C0D",
"version": (1, 1, 1),
"blender": (2, 90, 0),
"location": "Text Editor > only > Text editor",
"description": "stay home cursor",
"wiki_url": "",
"category": "Text Editor",
}
"""
Use shortcut shift+Right Mouse to toggle... | 1C0D/come-back-cursor-Blender-addon | come_back_cursor.py | come_back_cursor.py | py | 4,387 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "bpy.types",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "bpy.context",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "bpy.context",
"line_number": 61,
"usage_type": "attribute"
},
{
"api_name": "bpy.context",
"l... |
71081867103 | import wx
import objdlg
import servers
import app
import conjurerconfig as cfg
class NOHTree(wx.TreeCtrl):
"""
This wxTreeCtrl derivative displays a tree view of nebula's namespace.
Set 'passive' to True if you don't want this control to access its parent
or do anything else than ... | xuebai5/TheZombieEngine | zombie/code/conjurer/conjurer/gui/nohtree.py | nohtree.py | py | 11,788 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "wx.TreeCtrl",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "wx.TR_DEFAULT_STYLE",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "wx.TreeCtrl.__init__",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "wx.Tre... |
10336603840 | import os
import json
import state
import views
state = state.State()
APP_PATH = os.getcwd()
state.app_path = APP_PATH
USERS_JSON_PATH = os.path.join(APP_PATH, 'users.json')
state.users_json_path = USERS_JSON_PATH
USERS_DATA_PATH = os.path.join(APP_PATH, 'users')
state.users_data_path = USERS_DATA_PATH
if not os.p... | thalyssa/fanfiction-site | main.py | main.py | py | 1,329 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "state.State",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "state.app_path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_numbe... |
27367402720 | # 63. Unique Paths II
# A robot is located at the top-left corner of a m x n grid (marked 'Start' in the diagram below).
# The robot can only move either down or right at any point in time. The robot is trying to reach the bottom-right corner of the grid (marked 'Finish' in the diagram below).
# Now consider if some ob... | missingmeow/leetcode | 63.UniquePathsII.py | 63.UniquePathsII.py | py | 1,479 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "typing.List",
"line_number": 10,
"usage_type": "name"
}
] |
39824569501 | from django.db import models
from core.models import CartItem, Order
class SubOrder(models.Model):
class OrderStates(models.TextChoices):
PENDING = "pending"
PICKUP = "pickup"
SCHEDULED = "scheduled"
DELIVERED = "delivered"
order = models.ForeignKey(Order, on_delete=models.CAS... | AliIbrahim996/KTH | core/models/SubOrder.py | SubOrder.py | py | 711 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.db.models.Model",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.db.models.TextChoices",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_n... |
27697051513 | '''
Created on April , 2021
@author:
'''
## Import libraries in python
import argparse
import time
import json
import logging
import sys
import os
import math
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import random
import importlib
from scipy.stats import randint, exp... | mohyunho/TL_RUL | main.py | main.py | py | 8,068 | python | en | code | 15 | github-code | 7 | [
{
"api_name": "pandas.options",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.compat.v1.logging.set_verbosity",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "tensorflow.compat",
"line_number": 37,
"usage_type": "attribute"
},
{
... |
21417927175 | # create a s3 bucket
import boto3
import logging
from botocore.exceptions import ClientError
s3 = boto3.resource('s3')
# describe which resource you are trying to work this
def create_bucket(bucket_name, region_name):
try:
if region_name == None:
s3_client = boto3.client('s3')
s3_c... | aerielellisk5/awsboto3_practice | s3/creates3.py | creates3.py | py | 957 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "boto3.resource",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "boto3.client",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "boto3.client",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "botocore.exceptions.ClientErr... |
30780270335 | '''quick version of block patch prediction, set batchsize = 128, seamlessly stitch image patches.'''
import time
import numpy as np
from tqdm import tqdm
import os
import matplotlib.pyplot as plt
from matplotlib import cm
import torch
import pandas as pd
from PIL import Image
import cv2
from torch.optim.lr_scheduler im... | RanrWang/SRSA-Net | quick-block-test.py | quick-block-test.py | py | 6,280 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "time.time",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 2... |
7976101994 | # -*- coding:utf-8 -*-
"""
__author__ = "zhangyu"
"""
import logging
from thriftpy.protocol import TBinaryProtocol
from thriftpy.thrift import TClient
from thriftpy.transport import TSocket, TBufferedTransport
from hbasepy.load import hbase_thrift
from hbasepy.tables import Table
logger = logging.getLogger(__name__... | 0xqq/hbase-py | hbasepy/connection.py | connection.py | py | 4,000 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "thriftpy.transport.TBufferedTransport",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "thriftpy.protocol.TBinaryProtocol",
"line_number": 28,
"usage_type": "name"
},
... |
2768974793 | from django.urls import path
from .views import *
urlpatterns = [
path('dashboard/', o_dashboard, name="o_dashboard"),
path('register_pg_details/', o_register_pg_details, name="o_register_pg_details"),
path('register_facilities/', o_register_facilities, name="o_register_facilities"),
path('register_rul... | princedalsaniya/PGF-django | owner/urls.py | urls.py | py | 1,067 | python | en | code | 0 | github-code | 7 | [
{
"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",
... |
22789407533 | from django.test import SimpleTestCase
from django.utils.translation import get_language_info
from ads.forms import AdDetailEntryChoiceForm
###############################################################################
# Unit tests
# ==========================================================
# Fields
# ---------... | mikhkhann/sale-ads | src/sale_ads/apps/ads/tests/test_forms/test_ad_detail_entry_choice_form.py | test_ad_detail_entry_choice_form.py | py | 851 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.test.SimpleTestCase",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "ads.forms.AdDetailEntryChoiceForm",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "django.utils.translation.get_language_info",
"line_number": 24,
"usage_type"... |
18132301849 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import os
import json
import uuid
import pkgutil
from flask import url_for, g, current_app as app
def versioning(filename, appname=None, endpoint=None):
return url_for('static', filename=filename)
if not endpoint:
endpoint = 'static'
... | qisanstudio/qstudio-core | src/studio/core/flask/helpers.py | helpers.py | py | 2,424 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "flask.url_for",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.g",
"line_number": 17,
"usage_type": "argument"
},
{
"api_name": "pkgutil.get_loader",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "flask.current_app.name",... |
27016677833 | import re
import random
import feedparser
import logging
import pdb
import requests
import urllib.request as urllib2
import ssl
if hasattr(ssl, '_create_unverified_context'):
ssl._create_default_https_context = ssl._create_unverified_context
# logging.basicConfig(level=logging.DEBUG) # filename='example.log',
logg... | trevorgrayson/humane-api | feeds/models.py | models.py | py | 3,448 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "ssl._create_default_https_context",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "ssl._create_unverified_context",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
... |
219766761 | import torch
import torchvision
import numpy as np
import random
def extract_logits(out, task_ids, n_classes, device):
"""
Extract logits corresponding to task_ids from out.
Args:
out: Predictions
task_ids: Task ids
n_classes: Number of classes per task
"""
indices = (
... | sanketvmehta/lifelong-learning-pretraining-and-sam | img_exps/vision_utils.py | vision_utils.py | py | 2,562 | python | en | code | 11 | github-code | 7 | [
{
"api_name": "torch.arange",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.arange",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "torchvision.models.resnet18",... |
36350356493 | import os
import pwd
import grp
# project
from azure_li_services.logger import Logger
from azure_li_services.runtime_config import RuntimeConfig
from azure_li_services.defaults import Defaults
from azure_li_services.users import Users
from azure_li_services.status_report import StatusReport
from azure_li_services.pat... | SUSE-Enceladus/azure-li-services | azure_li_services/units/user.py | user.py | py | 5,824 | python | en | code | 7 | github-code | 7 | [
{
"api_name": "azure_li_services.logger.Logger.setup",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "azure_li_services.logger.Logger",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "azure_li_services.status_report.StatusReport",
"line_number": 29,
"... |
7685867228 | #!/usr/bin/env python3
import sys
import numpy as np
import matplotlib.pyplot as plt
def loadplot(fnames, label_offset = 4, special = False, subset = False, logx = False):
fig, ax = plt.subplots()
for fname in fnames:
multis = []
x = []
y = []
file = open(fna... | michalbali256/data-structures | splay/plot.py | plot.py | py | 4,241 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "numpy.log2",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
... |
7064339943 | from helper import display_task_name, display_example
"""
Solution to Ellen's Alien Game exercise.
https://exercism.org/tracks/python/exercises/ellens-alien-game
"""
class Alien:
"""Create an Alien object with location x_coordinate and y_coordinate.
Attributes
----------
(class)total_aliens_created:... | vslayer34/Exercism-Python | 14_Classes/01_Ellen's Alien Game.py | 01_Ellen's Alien Game.py | py | 2,845 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "helper.display_task_name",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "helper.display_task_name",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "helper.display_task_name",
"line_number": 81,
"usage_type": "call"
},
{
"api_na... |
8895143132 | import random
from django.http import HttpResponse
from iscore_app.serializers import MatchesReaderSerializer
from iscore_app.models import Matches, RankedPlayers, RankingListCategories, Ranking_Lists, TournamentCategories, Entries, Tournaments, Players, Score
from rest_framework.decorators import api_view
from rest_f... | lizagilman/iscore | iscore_app/draws.py | draws.py | py | 9,345 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "iscore_app.models.Matches.objects.filter",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "iscore_app.models.Matches.objects",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "iscore_app.models.Matches",
"line_number": 15,
"usage_typ... |
17056057062 | import sys
sys.path.append("../Basic Functions")
import numpy
import matplotlib.pyplot
from LoadData import LoadDataAndLabel
# w = (X.T * X)^(-1) * (X.T * Y)
def StandRegres(dataArray, labelList):
dataMat = numpy.mat(dataArray)
labelMat = numpy.mat(labelList)
if numpy.linalg.det(dataMat.T * dataMat) == 0:... | VictorYXL/Machine_Learning | Regression/Regression.py | Regression.py | py | 3,964 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "sys.path.append",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "numpy.mat",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.mat",
"line_number": 1... |
30131030859 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from PyQt5.QtWidgets import QTreeView, QStyledItemDelegate, QStyleOptionViewItem, QStyle
from PyQt5.QtCore import Qt, QAbstractItemModel, QModelIndex, QRectF, QSize, QItemSelectionModel
from PyQt5.QtGui import QTextDocument, QAbstractTextDocumentLayout
# TODO (1) allow mo... | AminSdiri/german_active_vocab | german_active_vocab/EditDictModelView.py | EditDictModelView.py | py | 13,800 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "PyQt5.QtWidgets.QTreeView",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QTreeView.ExtendedSelection",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtWidgets.QTreeView",
"line_number": 17,
"usage_type": "... |
43816814643 |
import pandas as pd
from datetime import datetime, timedelta
from confluent_kafka import avro
from confluent_kafka.avro import AvroProducer
def get_kafka_producer():
key_schema = avro.load("key_schema.avsc")
value_schema = avro.load("value_schema.avsc")
producer_config = {
"bootstrap.servers":... | MohamedMandouh/nyc-pipeline | kafka/producer.py | producer.py | py | 2,538 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "confluent_kafka.avro.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "confluent_kafka.avro",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "confluent_kafka.avro.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name":... |
16148800813 | import os
import sqlite3
from flask import Flask, request, session, g, redirect, url_for, abort, \
render_template, flash
app = Flask(__name__) # create the application instance :)
app.config.from_object(__name__) # load config from this file
# Load default config and override config from an environment variable... | tolidano/cryptolio | cryptolio/cryptolio.py | cryptolio.py | py | 1,382 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"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": "sqlite3.connect",
"line_numb... |
31588704105 | #!/usr/bin/env python3
"""
A sample pybowler pipeline that demonstrates replacement of
x-unit style tests with pytest-style ones.
Not particularly thorough.
For simplicity, doesn't really handle boolean/None values well:
assertEqual(a, None)
--> a == None
assertEqual(a, False)
--> a == False
... | craigds/decrapify | pytestify.py | pytestify.py | py | 16,467 | python | en | code | 11 | github-code | 7 | [
{
"api_name": "bowler.types.Leaf",
"line_number": 79,
"usage_type": "call"
},
{
"api_name": "bowler.TOKEN.EQEQUAL",
"line_number": 79,
"usage_type": "attribute"
},
{
"api_name": "bowler.TOKEN",
"line_number": 79,
"usage_type": "name"
},
{
"api_name": "bowler.types... |
74755324704 | import os
import numpy as np
import torch
import torch.nn as nn
from agent.agent import stochastic_action, wrap_action, dict2obs
from agent.reinforce.network import Policy
def get_action(policy: nn.Module, obs: np.ndarray):
raw_action = stochastic_action(policy, obs)
action = wrap_action(raw_action).tolist()... | MKLicht/flight_system | render_env/agent/reinforce/agent.py | agent.py | py | 1,273 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "torch.nn.Module",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "numpy.ndarray",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "agent.agent.stochast... |
16809090845 | from dotenv import load_dotenv
import os
def is_travis():
"""
Detect if current environment is travis. Mainly used to disable underiable unit tests which cannot run on Travis (i.e. private database access)
:return:
"""
is_travis_in_OS_env = "TRAVIS" in os.environ
return is_travis_in_OS_env
d... | dyt811/PythonUtils | env.py | env.py | py | 1,802 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.environ",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.getenv",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "dotenv.load_dotenv",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_nu... |
72958800223 | from flask import Flask, jsonify, render_template, request
import requests
import webbrowser
import time
app = Flask(__name__)
def get_price():
url = "http://api.coincap.io/v2/assets?"
response = requests.request("GET", url, headers={}, data = {})
if response.status_code == 200:
data=response.json... | CreatorGhost/CryptoPriceUpdate | app.py | app.py | py | 728 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "requests.request",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
... |
2885368458 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
import os
import efl
parser = argparse.ArgumentParser(description="fl demo arguments")
parser.add_argument('--data_dir', type=str, required=True)
parser.add_argument('--data_dir_local', type=s... | alibaba/Elastic-Federated-Learning-Solution | efls-algo/utils/config.py | config.py | py | 1,603 | python | en | code | 125 | github-code | 7 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "efl.MODE",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "efl.MODE",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "os.sep.join",
... |
74264408542 | import numpy as np
from keras.datasets import mnist
import random
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
from sklearn import preprocessing
import keras
import tensorflow as tf
from keras.datasets import mnist
from keras.models import Sequential, Model
from keras.layers import Dense, D... | tomzhao2016/graduation-project | reversed_mnist.py | reversed_mnist.py | py | 26,059 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "matplotlib.use",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "matpl... |
26687161043 | import numpy as np
import torch
import torch.functional as F
def eval_metrics(output, target):
output = (F.sigmoid(output) > 0.5).cpu().data.numpy()
target = target.cpu().data.numpy()
return np.linalg.norm(output - target)
def corr_dist(est, gth, xyz0, xyz1, weight=None, max_dist=1):
xyz0_est = xyz0 @ est[... | chrischoy/FCGF | lib/metrics.py | metrics.py | py | 996 | python | en | code | 568 | github-code | 7 | [
{
"api_name": "torch.functional.sigmoid",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.functional",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "numpy.linalg.norm",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.linal... |
24753209666 | from collections import deque
q = deque()
command = input()
while command != 'End':
if command == 'Paid':
[print(name) for name in q]
q.clear()
else:
q.append(command)
command = input()
print(f'{len(q)} people remaining.')
| kostakazakoff/SoftUni | Python Advanced/lists_as_stacks_and_queues/supermarket.py | supermarket.py | py | 263 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "collections.deque",
"line_number": 3,
"usage_type": "call"
}
] |
26227329757 | import gym
import numpy as np
import cv2
#from skimage import transform
from gym.spaces import Box
class ResizeObservation(gym.ObservationWrapper):
def __init__(self, env, shape):
super().__init__(env)
if isinstance(shape, int):
self.shape = (shape, shape)
else:
sel... | 392781/deepmow | deepmower/wrappers.py | wrappers.py | py | 2,166 | python | en | code | 4 | github-code | 7 | [
{
"api_name": "gym.ObservationWrapper",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "gym.spaces.Box",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "cv2.resize... |
9110859607 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Jimmy Lin
import os
import time
import click
from subprocess import Popen, PIPE, call
interface_list = []
gl_IP = None
com_ip_list1 = ["255.255.255.0", "192.168.101.1", "114.114.114.114 8.8.8.8", "buyabs.corp"]
com_ip_list2 = ["255.255.255.0", "192.168.101.1", "192.16... | lindong629/SetIP_Mac | tools_change_ip.py | tools_change_ip.py | py | 8,834 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "subprocess.Popen",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "subprocess.Popen",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",
... |
18343980698 | # USING THIS
# https://www.kaggle.com/mirlei/image-classification-of-dice-with-neural-network
import random
import os
import pickle
import numpy as np
import matplotlib.pyplot as plt
import cv2
from tensorflow.keras.preprocessing.image import ImageDataGenerator
from tensorflow.keras.models import Sequential
from ... | bklaing2/Dice-Recognizer | src/working-cnn.py | working-cnn.py | py | 2,876 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "tensorflow.keras.preprocessing.image.ImageDataGenerator",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.preprocessing.image.ImageDataGenerator",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.ndarray",
"line_number"... |
27768748089 | from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
import json
import os
from googlecloudsdk.calliope import cli_tree
from googlecloudsdk.core import module_util
from googlecloudsdk.core.util import files
import six
def _ParameterizePath(path):
"""Return... | twistedpair/google-cloud-sdk | google-cloud-sdk/lib/googlecloudsdk/command_lib/meta/list_cli_trees.py | list_cli_trees.py | py | 3,239 | python | en | code | 55 | github-code | 7 | [
{
"api_name": "googlecloudsdk.core.util.files.GetHomeDir",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "googlecloudsdk.core.util.files",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
... |
18683092860 | from pygame.rect import *
from Pkg.Denovo_Learning.Parameters import Parameters
import pygame as pg
class Target:
def __init__(self):
self.rect = Rect(Parameters.target_x, Parameters.target_y, Parameters.target_diameter, Parameters.target_diameter)
def move(self):
self.rect.move_ip(Parameter... | clmnlab/RL | DQN/Pkg/Denovo_Learning/Target.py | Target.py | py | 1,151 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "Pkg.Denovo_Learning.Parameters.Parameters.target_x",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "Pkg.Denovo_Learning.Parameters.Parameters",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "Pkg.Denovo_Learning.Parameters.Parameters.target_... |
31075107783 | # -*-coding：utf-8-*-
from bs4 import BeautifulSoup
import requests
if __name__ == '__main__':
target = 'http://www.xiaoshuotxt.org/mingzhu/18892/'
req = requests.get(url=target)
html = req.text
bf = BeautifulSoup(html)
texts = bf.find_all('div', class_='neir')
print(texts) | guozhi666/python | pachong/baisi.py | baisi.py | py | 300 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "requests.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 9,
"usage_type": "call"
}
] |
8512509520 | import requests
import bs4
import glob
id = 25505347
while True:
url = f"https://news.ycombinator.com/item?id={id}"
print(url)
resp = requests.get(url)
open(f"data/stories/{id}", 'w').write(resp.text)
id -= 1 | mdamien/hn-network | download_stories.py | download_stories.py | py | 230 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
}
] |
2896628798 | # TODO should check if the config file exists before trying to use it.
import simplejson
# import nose # removing as I don't think it's used. - GDB 18-11-05
import os
from jsonschema import validate, ValidationError, Draft4Validator
import argparse
import configparser
import logging
# import glob
import fnmatch
from d... | vz-risk/veris | bin/checkValidity.py | checkValidity.py | py | 31,385 | python | en | code | 538 | github-code | 7 | [
{
"api_name": "os.path.dirname",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "importlib.util.spec_fro... |
14849385643 | #!/usr/bin/env python
from pyfirmata import Arduino, util
from time import sleep
import os
port = '/dev/ttyUSB0'
board = Arduino(port)
sleep(2)
it = util.Iterator(board)
it.start()
analog0 = board.get_pin('a:0:i')
analog1 = board.get_pin('a:1:i')
analog2 = board.get_pin('a:2:i')
digital9 = board.get_pin('d:9:p')
d... | tixsalvador/py | arduinopy/rgbled.py | rgbled.py | py | 701 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pyfirmata.Arduino",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pyfirmata.util.Iterator",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pyfirmata.util",
... |
30006763528 | import numpy as np
import casadi as ca
# from five_link_model import Biped1
# from five_link_model import Biped2
from hopper_model import Hopper
from terrain import Terrain
# import helper_functions as hf
##################################
#### Remove ddpos ###############
#################################
class ... | IvLabs/biped_trajectory_optimization | hopper_path_generation/phase_based/trajopt_formulation.py | trajopt_formulation.py | py | 10,795 | python | en | code | 75 | github-code | 7 | [
{
"api_name": "hopper_model.Hopper",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "terrain.Terrain",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "casadi.Opti",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "casadi.dot",
"lin... |
94684392 | from context import functions
from enum import Enum
import unittest
class TestHooks(unittest.TestCase):
def tearDown(self) -> None:
for event in functions.Event:
functions.unset_handler(event)
return super().tearDown()
def test_functions_contains_handlers_dict_and_Event_enum(self)... | k98kurz/autodox | tests/test_hooks.py | test_hooks.py | py | 5,673 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "unittest.TestCase",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "context.functions.Event",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "context.functions",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "co... |
38048539987 | # This files contains your custom actions which can be used to run
# custom Python code.
#
# See this guide on how to implement these action:
# https://rasa.com/docs/rasa/custom-actions
from typing import Any, Text, Dict, List
from rasa_sdk import Action, Tracker
from rasa_sdk.executor import CollectingDispatcher
im... | gamestap99/nd_bot | actions/actions.py | actions.py | py | 2,357 | python | vi | code | 0 | github-code | 7 | [
{
"api_name": "rasa_sdk.Action",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "typing.Text",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "rasa_sdk.executor.CollectingDispatcher",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "ra... |
74658783903 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals, division, print_function, absolute_import
import re
import logging
import time
import datetime
import pydub # https://github.com/jiaaro/pydub
from google.cloud import storage
from google.cloud.exceptions import NotFound
from google.cloud import speech
fr... | Jaymon/transcribe | transcribe/speech.py | speech.py | py | 6,326 | python | en | code | 32 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "path.Path",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "re.compile",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "re.I",
"line_number": 23,
... |
71309565342 | # Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under t... | openstack/openstacksdk | openstack/tests/functional/network/v2/test_subnet_from_subnet_pool.py | test_subnet_from_subnet_pool.py | py | 3,144 | python | en | code | 245 | github-code | 7 | [
{
"api_name": "openstack.tests.functional.base.BaseFunctionalTest",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "openstack.tests.functional.base",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "openstack.network.v2.subnet_pool.SubnetPool",
"line_n... |
22945712679 | from django.http import HttpResponse, HttpResponseNotFound, HttpResponseRedirect
from django.shortcuts import render
from django.contrib.auth.decorators import login_required
from justchat.models import Room, ChatHistory
from django.contrib.auth import get_user_model
from django.db.models import Q
User = get_user_mode... | amitjamwal85/djangochannel | justchat/views.py | views.py | py | 2,205 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.decorators.login_required",
"line_number": 33,
"usage_type"... |
71868986145 | #!/usr/bin/env python3
import leveldb
import msgpack
import csv
from util.misc import Benchmark, open_file
REQUIRED_KEYS = {'title', 'paper_id', 'date'}
if __name__ == "__main__":
import argparse
parser = argparse.ArgumentParser(description="Creates a LevelDB of TSV metadata in infile")
parser.add_argumen... | jevinw/rec_utilities | babel_util/scripts/arxivmd_to_leveldb.py | arxivmd_to_leveldb.py | py | 1,158 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "leveldb.LevelDB",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "util.misc.open_file",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "util.misc... |
30663535099 | from typing import List
from collections import deque
class Solution:
def maxNumber(self, nums1: List[int], nums2: List[int], k: int) -> List[int]:
def maxArray(nums, k):
if k == len(nums):
return nums
arr = []
le = len(nums)
for i, n in enum... | yutao-li/leetcode | 321(1).py | 321(1).py | py | 990 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "typing.List",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "collections.deque",
"line_number": 20,
"usage_type": "call"
}
] |
42090585243 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('flavourdb2', '0002_chef_chefbiofoodimage_comuna_menu_menuimage'),
]
operations = [
migrations.RemoveField(
model... | FlavourApp/Flavour | Flavour/flavourdb2/migrations/0003_auto_20140922_2318.py | 0003_auto_20140922_2318.py | py | 775 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.RemoveField",
"line_number": 14,
"usage_type": "call"
},
... |
12048377266 | import shutil
import tempfile
from http import HTTPStatus
from django import forms
from django.conf import settings
from django.core.cache import cache
from django.core.files.uploadedfile import SimpleUploadedFile
from django.shortcuts import get_object_or_404
from django.test import Client, TestCase, override_setting... | Sovraska/hw04_tests | yatube/posts/tests/test_views.py | test_views.py | py | 14,748 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "tempfile.mkdtemp",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.conf.settings.BASE_DIR",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 15,
"usage_type": "name"
},
{
"api_name... |
23627998750 | # from django.contrib.auth.models import User
from django.db import models
from rest_framework.serializers import (
HyperlinkedIdentityField,
ModelSerializer,
SerializerMethodField,
)
from directories.models import PhoneNumber, Department, Faculty
# from users.api.serializers import U... | lyoman/uzapp_backend | directories/api/serializers.py | serializers.py | py | 2,404 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "django.db.models.ForeignKey",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "directories.models.Department",
"line_number": 19,
"usage_type": "... |
22477881176 | # Python script to convert between data formats.
# It takes as input the json outputs of Alphapose and converts them to the appropriate dictionary form for
# the SLT methods. This script assumes that AlphaPose extraction has already been performed.
# Developed in the context of the aiD project
import gzip
import pickl... | konpanousis/aiD_Technologies | SignLanguageTranslation/convert_to_format.py | convert_to_format.py | py | 1,468 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "gzip.open",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pickle.dump",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pickle.HIGHEST_PROTOCOL",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"l... |
12803223603 | import json
import pytest
from src.main import app
from fastapi.testclient import TestClient
headers = {"Accept": "application/json"}
client = TestClient(app, headers=headers)
def test_get_echo_reply():
response = client.get('/')
assert response.status_code == 200
assert response.json() == {"message":... | ForsakenWing/Mock-service | tests/unit_tests/test_units_main.py | test_units_main.py | py | 1,415 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "fastapi.testclient.TestClient",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "src.main.app",
"line_number": 10,
"usage_type": "argument"
},
{
"api_name": "json.loads",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pytest.mark... |
4043327466 | from sklearn.metrics import accuracy_score, roc_auc_score, f1_score, precision_score, recall_score
from common import utils
import numpy as np
from discrimination.discrimination_utils import load_data_demencia, results_to_csv, roc_auc_score_multiclass
from discrimination.svm_utils import train_svm
config = utils.load... | jvel07/wav2vec2_patho | demencia16k_selected225B.py | demencia16k_selected225B.py | py | 1,524 | python | en | code | 5 | github-code | 7 | [
{
"api_name": "common.utils.load_config",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "common.utils",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "discrimination.discrimination_utils.load_data_demencia",
"line_number": 9,
"usage_type": "call"
},
... |
71181280542 | from django.shortcuts import render, redirect, get_object_or_404
from django.urls import reverse
from notifications.models import Notification
from blog.models import BlogDetailPage
from visitor_record.utils import count_visits
def my_notifications(request):
obj = BlogDetailPage.objects.all()[0]
data = count_v... | elfzweik/wangfamily | my_notifications/views.py | views.py | py | 1,167 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "blog.models.BlogDetailPage.objects.all",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "blog.models.BlogDetailPage.objects",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "blog.models.BlogDetailPage",
"line_number": 8,
"usage_type":... |
5227995306 | from model import GPTLanguageModel
import wandb
import time
import json
import torch
mode = 'big'
if mode == 'test':
# TEST hparam config
batch_size = 32 # how many independent sequences will we process in parallel?
block_size = 8 # what is the maximum context length for predictions?
max_iters = 5000
... | yvokeller/frdm-gpt | src/train_model.py | train_model.py | py | 4,682 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "torch.backends.mps.is_available",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "torch.backends",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "torch.manual_seed",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": ... |
3603805590 | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Thu Apr 20 12:06:22 2017
@author: Work
"""
import nltk
from nltk.book import *
from __future__ import print_function
from __future__ import division
def unusual_words(text):
text_vocab = set(w.lower() for w in text if w.isalpha())
english_vocab = ... | jeffreyong/GA_files | nltk_tutorial2b.py | nltk_tutorial2b.py | py | 3,086 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "nltk.corpus.words.words",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "nltk.corpus",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "nltk.corpus.gutenberg.words",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "... |
14367463930 | import string
from random import choice
from typing import Optional, TYPE_CHECKING
from quart import Blueprint, jsonify
from litecord.auth import admin_check
from ...errors import InternalServerError, NotFound
from litecord.types import timestamp_
from litecord.schemas import validate
from litecord.admin_schemas impo... | dolfies/patchcord | litecord/blueprints/admin_api/instance_invites.py | instance_invites.py | py | 2,904 | python | en | code | 39 | github-code | 7 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "quart.Blueprint",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "string.ascii_lowercase",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "stri... |
1826872291 | import sys
import speechbrain as sb
from hyperpyyaml import load_hyperpyyaml
from a3d import KWSBrain
from a3d.dataset import prep_speechcommands
from a3d.dataset import create_datasets_speechcommands
def main(hparams, hparams_file, run_opts, overrides):
# Create experiment directory
sb.create_experiment_dire... | Hguimaraes/A3D | recipes/eval_robustness/eval_ks.py | eval_ks.py | py | 1,585 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "speechbrain.create_experiment_directory",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "speechbrain.utils.distributed.run_on_main",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "a3d.dataset.prep_speechcommands",
"line_number": 19,
"u... |
37448395604 | import pytest
import abjad
def test_LilyPondParser__spanners__HorizontalBracket_01():
maker = abjad.NoteMaker()
target = abjad.Container(maker([0] * 4, [(1, 4)]))
abjad.horizontal_bracket(target[:])
abjad.horizontal_bracket(target[:2])
abjad.horizontal_bracket(target[2:])
assert abjad.lilyp... | tastethewhip/abjad | tests/test_LilyPondParser__spanners__HorizontalBracket.py | test_LilyPondParser__spanners__HorizontalBracket.py | py | 1,766 | python | en | code | null | github-code | 7 | [
{
"api_name": "abjad.NoteMaker",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "abjad.Container",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "abjad.horizontal_bracket",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "abjad.horizont... |
40441913689 | """
Really fast, no bugs!
good work @ me
idea was pretty simple, ie. reuse the current space
what tripped me up was thinking about worst case runtime
turns out still is O(n)
"""
from typing import List
class Solution:
def firstMissingPositive(self, nums: List[int]) -> int:
for index in range(len(nums... | darren-huang/leetcode-grind | leetcode_top_hard_interview_questions/4-first_missing_positive_integer.py | 4-first_missing_positive_integer.py | py | 850 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "typing.List",
"line_number": 17,
"usage_type": "name"
}
] |
85858499 | import os
import rnmd.extract_code
import rnmd.compile_markdown
default_compile_dir="/tmp/rnmd"
os.makedirs(default_compile_dir, exist_ok=True)
def run_markdown(source, args):
temp_compile_path = os.path.join(default_compile_dir, os.path.basename(source))
rnmd.compile_markdown.compile_markdown(source, temp_... | markuspeitl/rnmd | rnmd/runtime.py | runtime.py | py | 838 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.makedirs",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path.basename",
"line_num... |
3537741877 | import datetime
from individual import Individual
from family import Family
individuals = {}
families = {}
supported_tags: list = [
"INDI",
"NAME",
"SEX",
"BIRT",
"DEAT",
"FAMC",
"FAMS",
"FAM",
"MARR",
"HUSB",
"WIFE",
"CHIL",
"DIV",
"DATE",
"HEAD",
"TRLR... | mghiremath/CS555-GEDCOM | team_03/src/gedFileParser.py | gedFileParser.py | py | 6,427 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "datetime.datetime",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "family.Family",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "family.identifier"... |
4116530345 | # key builder test
from flexmock import flexmock
from keyBuilder import buildKey
from assertpy import assert_that
def test_buildKey():
config = flexmock(keyName="test",
keyPattern=".*",
hasGroup=False,
groupNum=None)
assert_that(buildKey("alan", [config])).is_equal_to({"test":"alan"})
def test_buildKey_two_e... | cao5zy/code_transformer | tests/keyBuilder_test.py | keyBuilder_test.py | py | 812 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "flexmock.flexmock",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "assertpy.assert_that",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "keyBuilder.buildKey",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flexmock.fl... |
24507195808 | from nptdms import TdmsFile
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
input_file="M9_Default_200921-123303_Courants50Hz.tdms"
with TdmsFile.open(input_file) as tdms_file:
# Iterate over all items in the file properties and print them
for name, value in tdms_file.properties.items():
... | feelpp/book.hifimagnet | docs/docs/modules/appendix/attachments/nptdms-ex.py | nptdms-ex.py | py | 2,113 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "nptdms.TdmsFile.open",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "nptdms.TdmsFile",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.gca"... |
16673574090 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.linear_model import LinearRegression
data = pd.read_csv('Data.csv')
x = data.iloc[:,[0]].values
y = data.iloc[:,[1]].values
x_t = np.transpose(x)
first_inv = np.matmul(x_t, x)
second = np.matmul(x_t, y)
first = np.linalg.inv... | myaseen208/Winter2018-2019Stat-701MSCS | Assignment 2/slr.py | slr.py | py | 550 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pandas.read_csv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.transpose",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.matmul",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.matmul",
"line_n... |
5052319475 | # **hdfs操作
import os
from hdfs import client
#**url：ip：端口
client = client.InsecureClient("http://yh001:50070", user="hadoop" ,root="/")
def upload(remote_dir="/pings/wordcount/", local_dir="D:/data/1/"):
"""上传本地文件到hdfs"""
client.delete(remote_dir, True)
client.makedirs(remote_dir)
for file in os.lis... | pingszi/PythonDemo | hadoop/myhdfs.py | myhdfs.py | py | 486 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "hdfs.client",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "hdfs.client.InsecureClient",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "hdfs.client.delete",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "hdfs.client",... |
5808688297 | from sklearn.preprocessing import StandardScaler
from sklearn.cluster import KMeans
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.metrics import silhouette_score, davies_bouldin_score
def clustering_k_means(df, columns_clustering, n_clusters=3, label_column_name='label',
post... | paulaoak/hex_clustering_uk | src/clustering_k_means.py | clustering_k_means.py | py | 5,586 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sklearn.preprocessing.StandardScaler",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "sklearn.cluster.KMeans",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 72,
"usage_type": "call"
},
{... |
42747805895 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Nov 29 17:49:23 2018
@author: kzeman2
NitroShed Model
"""
from mesa import Agent, Model
import random
from mesa.time import RandomActivation
from mesa.space import MultiGrid
from schedule import model_schedule
#import matplotlib.pyplot as plt
#Agent... | kzeman2/PythonNitroShed | model.py | model.py | py | 4,392 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "mesa.Model",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "mesa.space.MultiGrid",
"line_number": 105,
"usage_type": "call"
},
{
"api_name": "schedule.model_schedule",
"line_number": 106,
"usage_type": "call"
},
{
"api_name": "random.rand... |
74593511263 | """
Module for processing aspect data
"""
from __future__ import division, absolute_import, print_function
from sys import stdout
from operator import attrgetter, itemgetter
import warnings
import inspect
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import animation
import pandas as pd
from scip... | GRIPS/gripspy | gripspy/science/aspect.py | aspect.py | py | 13,445 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "numpy.arange",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.meshgrid",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.cosh",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number"... |
26389359129 | #!/usr/bin/python
import cv2
import sys
import os
if __name__ == "__main__" :
imagename="contrast.jpg"
img=cv2.imread(imagename)
# if (img==None):
# print("File not found") # Or not readable?
# sys.exit()
#create haar cascade classifi... | zhuyanlong/ComputerVision | facecrop.py | facecrop.py | py | 1,091 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "cv2.imread",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.CascadeClassifier",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cv2.imwrite",
"line_number": 29,
"usage_type": "call"
}
] |
7666254343 | from front_end_gui_script import print_console_gui
import os
import calendar
import pandas as pd
from datetime import datetime
from datetime import timedelta
from dateutil import relativedelta
import snscrape.modules.twitter as sntwitter
tweet_path = 'tweets'
def initiate_path():
if not os.path.exists(tweet_path)... | mustafaradheyyan/COVID-19_NLP | modules/tweet_scraper.py | tweet_scraper.py | py | 4,242 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.path.exists",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "calendar.monthrange",
"line_... |
15217259200 | from pprint import pprint
from time import sleep
from selenium.webdriver.chrome.service import Service
from selenium import webdriver
from selenium.webdriver.common.by import By
from bs4 import BeautifulSoup
import requests
class DataEntryJobAutomation():
def __init__(self) -> None:
self.captura_completa ... | filipehlreis/100_days_of_code_python | day53/dataentryjobautomation.py | dataentryjobautomation.py | py | 5,272 | python | en | code | 5 | github-code | 7 | [
{
"api_name": "requests.get",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pprint.pprint",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.chrom... |
27763424579 | from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
import enum
from googlecloudsdk.api_lib.notebooks import util
from googlecloudsdk.command_lib.util.apis import arg_utils
from googlecloudsdk.core import log
from googlecloudsdk.core import resources
def Cre... | twistedpair/google-cloud-sdk | google-cloud-sdk/lib/googlecloudsdk/api_lib/notebooks/runtimes.py | runtimes.py | py | 8,886 | python | en | code | 55 | github-code | 7 | [
{
"api_name": "googlecloudsdk.command_lib.util.apis.arg_utils.ChoiceEnumMapper",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "googlecloudsdk.command_lib.util.apis.arg_utils",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "googlecloudsdk.command_lib.util.ap... |
37920326515 | import os
from celery import Celery
from configs.default.cron import task_schedule
# set the default Django settings module for the 'celery' program.
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "configs")
app = Celery("sspanel")
# Using a string here means the worker doesn't have to serialize
# the configurati... | Ehco1996/django-sspanel | apps/celery.py | celery.py | py | 726 | python | en | code | 3,002 | github-code | 7 | [
{
"api_name": "os.environ.setdefault",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "celery.Celery",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "configs.default.cro... |
18047927366 | import argparse
parser = argparse.ArgumentParser(description='read in message')
parser.add_argument('n', help='public key n', type=str)
parser.add_argument('d', help='private key d', type=str)
parser.add_argument('message', help='message', nargs=argparse.REMAINDER, default=[])
args = parser.parse_args()
def decrypt(e... | jlherzberg/PyRSA | decrypt_message.py | decrypt_message.py | py | 580 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "argparse.REMAINDER",
"line_number": 6,
"usage_type": "attribute"
}
] |
73683762782 | from django.shortcuts import render
from rest_framework import status
from rest_framework.decorators import api_view
from rest_framework.response import Response
from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger
from .models import Branch_Office
from .serializers import *
@api_view(['GET'])
def ... | MagFry/ProjectLanguage | branch_office/views.py | views.py | py | 1,328 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "models.Branch_Office.objects.all",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "models.Branch_Office.objects",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "models.Branch_Office",
"line_number": 18,
"usage_type": "name"
},
... |
31529112624 | import numpy as np
import torch
import torch.nn.functional as f
class Conv:
def __init__(self, c_in, c_out, kernel, stride=1, padding=0, dilation=1):
self.kernel = kernel
self.stride = stride
self.padding = padding
self.dilation = dilation
self.c_in = c_in
self.c_ou... | dakshitagrawal/ML_Interview_Algos | conv/conv.py | conv.py | py | 2,240 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "numpy.random.rand",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.rand",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.random",
... |
14196059965 | # from pudb import set_trace; set_trace()
from typing import List
from collections import Counter, deque
import heapq
class Solution1:
def maxResult(self, nums: List[int], k: int) -> int:
"""LeetCode 1696
The DP idea is fairly straightforward. In fact it is exactly the same
as the one we ... | FanchenBao/leetcode | 2021_06_challenge/06_09_2021.py | 06_09_2021.py | py | 4,153 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "typing.List",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "heapq.heappop",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "heapq.heappush",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "heapq.heappop",
"line_num... |
11820031300 | import sys
import os
from PyQt5.QtWidgets import QMainWindow, QPushButton,\
QApplication, QInputDialog, QLineEdit, QLabel, \
QFileDialog, QComboBox, QAction, QMessageBox
from PyQt5.QtCore import pyqtSlot, QByteArray, Qt
from PyQt5.QtGui import QIcon, QPixmap, QColor
import client
from final import image_parser,... | EricaSkerrett/bme590final | gui.py | gui.py | py | 18,935 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtGui.QColor",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QLabel",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": ... |
4169090204 | from __future__ import print_function
from keras.datasets import cifar10
from keras.preprocessing.image import ImageDataGenerator
from keras.models import Sequential
from keras.layers.core import Dense, Dropout, Activation, Flatten
from keras.layers.convolutional import Convolution2D, MaxPooling2D
from keras.opti... | chinnadhurai/machine_vision_course | hw1/q2.py | q2.py | py | 3,969 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "matplotlib.use",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.ogrid",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "numpy.exp",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "numpy.finfo",
"line_num... |
25131173590 | # Kernel Support Vector Machine for Non-linearly Separable Data
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv('Datasets/Social_Network_Ads.csv')
X = df.iloc[:, 2:4].values
y = df.iloc[:, 4].values
# Split the Dataset into Train and Test Data
from sklearn.model_selection impor... | vimalkkumar/MLinDepth | kernelSVM.py | kernelSVM.py | py | 4,068 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "pandas.read_csv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.StandardScaler",
"line_number": 16,
"usage_type": "call"
... |
26427261313 | from django import forms
from .models import PostModel
class PostForm(forms.ModelForm):
class Meta:
model = PostModel
fields = ("post",)
labels = {
'post': 'Напишите пост',
}
widgets = {
'post': forms.Textarea(attrs={'class': 'post-input'})
... | Dapimex/Microblog | AnonMicroBlog/forms.py | forms.py | py | 335 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "models.PostModel",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.forms.T... |
2200381424 | import requests
from io import StringIO
import pandas as pd
import matplotlib.pyplot as plt
url = "https://www.twse.com.tw/exchangeReport/STOCK_DAY?response=csv&date=20210301&stockNo=2330"
resp = requests.get(url)
raw_data = resp.text
clean_data = raw_data.split('\r\n')[1:-6]
clean_data[0] = '"date","deal_amount","dea... | wlsun-xiaole/python-lecture | sample_codes/02-Python基本語法II/範例/stock.py | stock.py | py | 586 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "requests.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "io.StringIO",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.show",
... |
37224165423 | import sqlite3
class DBHelper:
def __init__(self, dbname="julio_bot.sqlite"):
self.dbname = dbname
self.conn = sqlite3.connect(dbname)
def setup(self):
tblstmt = "CREATE TABLE IF NOT EXISTS items (trigger, response text)"
trig_idx = "CREATE INDEX IF NOT EXISTS triggerIndex ON... | Hernandope/basicChatBot | dbhelper.py | dbhelper.py | py | 1,354 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sqlite3.connect",
"line_number": 8,
"usage_type": "call"
}
] |
23604727562 | #!/usr/bin/env python
import json
from argparse import ArgumentParser
from collections import defaultdict
import pandas as pd
parser = ArgumentParser()
parser.add_argument("filepath", help="The full path to the Google Search JSON file")
args = parser.parse_args()
with open(args.filepath) as f:
data = json.load(f... | AntoineAugusti/google-search-gdpr | main.py | main.py | py | 1,267 | python | en | code | 7 | github-code | 7 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.DataF... |
73422638943 | #!/usr/bin/env python3
"""
usage: gendummydata.py outputfilename.sql
"""
#
# This script seeds the AUR database with dummy data for
# use during development/testing. It uses random entries
# from /usr/share/dict/words to create user accounts and
# package names. It generates the SQL statements to
# insert these users... | lfos/aurweb | schema/gendummydata.py | gendummydata.py | py | 10,879 | python | en | code | 20 | github-code | 7 | [
{
"api_name": "logging.DEBUG",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "logging.basicConfig",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "sys.argv",
... |
35791925950 | from copy import deepcopy
from json import dumps, loads
def handle_content(is_open, **_):
return {
'add_as_content': True,
'open': not is_open,
}
def handle_delimiter(has_ending_quotes, has_starting_quotes, is_open, **_):
if is_open:
if not has_starting_quotes or has_ending_quote... | HPI-Information-Systems/ExtracTable | table-extraction/table_extractor/parser/parser.py | parser.py | py | 8,075 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "copy.deepcopy",
"line_number": 178,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 194,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 206,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_n... |
27254070480 | #!/usr/bin/python
#SBATCH --job-name="test_gemm"
#SBATCH --time=0:20:00
#SBATCH --ntasks-per-node=1
#SBATCH --cpus-per-task=8
#SBATCH --account=csstaff
#SBATCH --reservation=fallenotb
import json
import sys
import os
import copy
import shutil
import glob
import subprocess
import time
import sqlite3
def main():
... | toxa81/python-scripts | run_job_py34.py | run_job_py34.py | py | 2,038 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sys.argv",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "copy.deepcopy",
"line_numb... |
8371717701 | import subprocess
import config as config
import os
os.chdir(config.BASE_DIR)
for play in config.playlists:
current_dir = os.getcwd()
togo = os.path.join(current_dir, config.PLAYLIST_NAME, play.name)
try:
os.chdir(togo)
except Exception as e:
os.makedirs(togo, exist_ok=True)
os.chd... | albertoZurini/youtube-dl-multiple-playlist-sync | sync_play.py | sync_play.py | py | 935 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.chdir",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "config.BASE_DIR",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "config.playlists",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"lin... |
21099546758 | import numpy as np
import matplotlib.pyplot as plt
# convolution of 2 arrays
# w/o wrap arround , can add zeros to end of input
# f, g not necessarily the same length
# arbitrary gauss function
def gauss(x,sigma):
return 1/np.sqrt(2*np.pi*sigma**2)*np.exp(-0.5*x**2/sigma**2)
def conv_safe(f,g):
# make d... | michellehlam/phys512_hw | problem_sets/ps5/ps5_Problem4.py | ps5_Problem4.py | py | 1,176 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "numpy.sqrt",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "numpy.exp",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 2... |
7516795348 |
import sys
from parse import *
import copy
from enum import Enum
#import gmpy2
#from gmpy2 import mpz
import collections
import functools
import numpy as np
import time
class Node:
def __init__(self, name, rate):
self.name = name
self.rate = rate
self.tunnels = []
self.valve_on = False
self.tot... | markmcb42/adventofcode | 2022/day16.py | day16.py | py | 1,843 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "collections.deque",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 85,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"li... |
74199548382 | import sys
import datetime
assert sys.version_info >= (3, 5) # make sure we have Python 3.5+
from pyspark.sql import SparkSession, functions, types
spark = SparkSession.builder.appName('tmax model tester').getOrCreate()
assert spark.version >= '2.3' # make sure we have Spark 2.3+
spark.sparkContext.setLogLevel('WA... | jediXNavi/big_data | 732/Assignments/weather_tomorrow.py | weather_tomorrow.py | py | 1,440 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sys.version_info",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.SparkSession.builder.appName",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 8,
"usage_type": "attribut... |
15904742584 | import requests
import datetime
from bs4 import BeautifulSoup as bs
from pymongo import MongoClient
link = "http://www.santostang.com/"
headers = {"Host":"www.santostang.com",
"User-Agent":"Mozilla/5.0 (Windows NT 6.1; Win64; x64; rv:52.0) Gecko/20100101 Firefox/52.0" }
re = requests.get(link ,headers = head... | yikuaiqian/python-practise | MongoDBceshi.py | MongoDBceshi.py | py | 712 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.... |
28541195037 | from fastapi import FastAPI, Request
import uvicorn
from fastapi.responses import HTMLResponse
from fastapi.staticfiles import StaticFiles
from fastapi.templating import Jinja2Templates
import os
from image_random_selector import select_random_image
from recognition_mask_predictor import mask_recognition
app = FastAPI... | Julesba97/mask-recognition-tensorflow-fastapi | app/src/app.py | app.py | py | 2,677 | python | fr | code | 0 | github-code | 7 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "fastapi.templating.Jinja2Templates",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "fastapi.staticfiles.StaticFiles",
"line_number": 15,
"usage_type": "call"
},
{
... |
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