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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
7349321214 | import asyncio
import configargparse
import logging
import json
from dotenv import load_dotenv
load_dotenv()
SPECIAL_SYMBOLS_FOR_MARKING_END_OF_MESSAGE = '\n\n'
async def main(args):
reader, writer = await asyncio.open_connection(args.host, args.port)
try:
await connect_to_chat(args, reader, writer)... | KhorinVitaly/underground-chat-cli | minechat_client.py | minechat_client.py | py | 3,617 | python | ru | code | 0 | github-code | 71 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "asyncio.open_connection",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "json.loads",
... |
37366592926 | import mySURF
import pandas as pd
import numpy as np
from sklearn.cluster import KMeans
import matplotlib.pyplot as plt
import cv2
def getX(goodMatchePoints,k1,k2):
XList=[];YList=[]
for i in goodMatchePoints:
left_id=i.queryIdx
right_id=i.trainIdx
xl=int(k1[left_id].pt[0])
yl=... | hamham223/PRP40-Binocular-camera | Hamster/Week_23/kmeans.py | kmeans.py | py | 1,648 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "mySURF.goodMatchePoints",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "mySURF.k1",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "mySURF.k2",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "sklearn.cl... |
42623541475 | import datetime
from prac_07.project import Project
MENU = " - (L)oad projects\n - (S)ave projects\n - (D)isplay projects\n - (F)ilter projects by date\n" \
" - (A)dd new project\n - (U)pdate project\n - (Q)uit"
FILENAME = "project.txt"
INDEX_NAME = 0
INDEX_START_DATE = 1
INDEX_PRIORITY = 2
INDEX_COST_ESTIMATE ... | jcoggan/Pracs | prac_07/project_mangement.py | project_mangement.py | py | 4,483 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 52,
"usage_type": "attribute"
},
{
"api_name": "prac_07.project.Project",
"line_number": 55,
"usage_type": "call"
},
{
"api_nam... |
24255726429 | import sys
from PyQt5.QtCore import pyqtSignal, QObject
class Controller(QObject):
addAlbum = pyqtSignal(list) # connected in GalleryPage
albumSwitch = pyqtSignal(str) # connected in GalleryPage
loadThumbnails = pyqtSignal(str) # connected in ThumbnailsLoader, emit in ImageThumbnailTile
loadingBre... | WittmannD/gallery | utils/controller.py | controller.py | py | 862 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "PyQt5.QtCore.QObject",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.pyqtSignal",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtCore.pyqtSignal",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "PyQ... |
20075692573 | from pip import List
class Solution:
def searchMatrix(self, matrix: List[List[int]], target: int) -> bool:
if not matrix:
return False
row = 0
col = len(matrix[0]) - 1
while row <= len(matrix) - 1 and col >= 0:
if target == matrix[row][col]:
r... | Parksoonil/python | PAI/Search_a_2D.py | Search_a_2D.py | py | 1,082 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pip.List",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "pip.List",
"line_number": 17,
"usage_type": "name"
}
] |
23926061643 | import datetime
import networkx as nx
import ifcopenshell.api
import ifcopenshell.util.date
import ifcopenshell.util.sequence
class Usecase:
def __init__(self, file, work_schedule=None):
"""Calculate the critical path and floats for a work schedule
This implements critical path analysis, using th... | IfcOpenShell/IfcOpenShell | src/ifcopenshell-python/ifcopenshell/api/sequence/recalculate_schedule.py | recalculate_schedule.py | py | 22,660 | python | en | code | 1,412 | github-code | 71 | [
{
"api_name": "networkx.DiGraph",
"line_number": 94,
"usage_type": "call"
},
{
"api_name": "ifcopenshell.api.util.date.ifc2datetime",
"line_number": 114,
"usage_type": "call"
},
{
"api_name": "ifcopenshell.api.util",
"line_number": 114,
"usage_type": "attribute"
},
{
... |
10399652278 | #!/usr/bin/python2
import smtplib
import sys
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
def sendError(recipient, reportURL):
SMTP_SERVER = 'smtp.gmail.com'
SMTP_PORT = 587
sender = 'info@greenpangia.com'
secret = 'temp9999'
subject = "An error happen in SBS/Pa... | jortizcs/Pangia | sbs/reportError.py | reportError.py | py | 1,133 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "email.mime.multipart.MIMEMultipart",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "email.mime.text.MIMEText",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "smtplib.SMTP",
"line_number": 40,
"usage_type": "call"
},
{
"api_name... |
25406140079 | """
This module provides plotting support in iPython.
"""
from functools import wraps
import matplotlib.pyplot as plt
__all__ = ['peek_show', "axis_labels_from_ctype"]
def peek_show(func):
"""
A decorator to place on ``peek()`` methods to show the figure.
The ``peek()`` method should return the figure ... | StanczakDominik/sunpy | sunpy/visualization/visualization.py | visualization.py | py | 1,486 | python | en | code | null | github-code | 71 | [
{
"api_name": "matplotlib.pyplot.show",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "functools.wraps",
"line_number": 19,
"usage_type": "call"
}
] |
73163014949 | import unittest
from pathlib import Path
from automationv3.framework.testcase import EdnTestCase
from automationv3.database import db
from automationv3.requirements.models import Requirement
edn_text = '''
"
=========
The Title
=========
Requirements
------------
1. :req:`R1`
2. :req:`R2`
"
"
Steps
-----
"
(Wait 1... | fillet54/automation-v3 | test/test_testcase.py | test_testcase.py | py | 1,730 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "unittest.TestCase",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "automationv3.requirements.models.Requirement.metadata.create_all",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "automationv3.requirements.models.Requirement.metadata",
... |
22639687494 | from collections import Counter
from .tiles import grid
from .tiles.start import GameWon
def process_move(move):
move = move.upper()
if move == 'N':
return (0, 1)
if move == 'S':
return (0, -1)
if move == 'W':
return (-1, 0)
if move == 'E':
return (1, 0)
print("M... | gistfoundation/adventuregame-pysheff | agps/__init__.py | __init__.py | py | 938 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "collections.Counter",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "tiles.grid",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "tiles.grid",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "tiles.start.GameWon",
"... |
38985771093 | import math
from typing import Optional, Tuple, Union
import torch
import torch.nn.functional as F
from torch import Tensor
from torch_sparse import SparseTensor
from torch.nn import Sequential, ReLU, BatchNorm1d
from torch_geometric.nn.conv import MessagePassing
from torch_geometric.nn.dense.linear import Linear
fr... | yininghase/multiagent-collision-mining | u_attention_conv.py | u_attention_conv.py | py | 8,297 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "torch.nn",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "torch_geometric.nn.dense.linear.Linear",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.nn.BatchNorm1d",
"line_number": 25,
"usage_type": "call"
},
{
"api_nam... |
18681331068 | from .astronomy_object_type import AstronomyObjectType
from .astronomy_day import AstronomyDay
from .astronomy_current import AstronomyCurrent
from libtad.common.exceptions import MalformedXMLException
import xml.etree.ElementTree as ET
from typing import List
class AstronomyObjectDetails:
"""
A class used to ... | timeanddate/libtad-python | libtad/datatypes/astro/astronomy_object_details.py | astronomy_object_details.py | py | 1,758 | python | en | code | 4 | github-code | 71 | [
{
"api_name": "xml.etree.ElementTree.Element",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "astronomy_object_type.AstronomyObjectType",
"line_number": 34,
"usage_type": "na... |
33028394872 | import json, re, random
def preprocess_input(input_text):
# Tokenize and preprocess the input by converting to lowercase and removing punctuation
return re.sub(r'[^\w\s]', '', input_text.lower()).split()
def identify_intent(input_tokens, intents_data):
# Iterate through each intent and its patterns... | AnakinSkywalk18/PythonAnywhere | mysite/chatbotFiles/chatbot.py | chatbot.py | py | 3,140 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "re.sub",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 74,
... |
12572747227 | import sys
sys.path.append('/home/frth/notebooks')
import fpmodules as fp
import fpmodules.tools as fk
feature_id = list(fk.get_feature_ids().values())
import sys
from fplearn.processing import mlready_data, compile_process_segmented_data
from fplearn.run import run_model, evaluate_model
from fplearn.tsne import TSN... | datofauna/classifiers | classifiers/pollen_beetle/pollen_beetle_model.py | pollen_beetle_model.py | py | 3,127 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "sys.path.append",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "fpmodules.tools.get_feature_ids",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "fpmodules.... |
42567696990 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.contrib.model_pruning.python import pruning
from tensorflow.python.ops import control_flow_ops
from tensorflow.python.training import moving_averages
import tensorflow as tf
import argparse
impo... | sirius-ai/MobileFaceNet_TF | nets/L_Resnet_E_IR.py | L_Resnet_E_IR.py | py | 10,131 | python | en | code | 411 | github-code | 71 | [
{
"api_name": "tensorflow.pad",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "tensorflow.pad",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "tensorflow.get_variable",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "tensorflow.cons... |
36829364872 | from dataclasses import dataclass, field
from nonebot import get_driver
# from nonebot.rule import to_me
from nonebot.params import CommandArg, RawCommand
from nonebot.matcher import Matcher
from nonebot.adapters.onebot.v11 import Message, MessageSegment
from nonebot.plugin import on_command
import datetime
from time i... | cubicYYY/ybot | plugins/hanakotoba/__init__.py | __init__.py | py | 17,827 | python | ja | code | 0 | github-code | 71 | [
{
"api_name": "nonebot.get_driver",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "config.Config.parse_obj",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "config.Config",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "os.path.dirn... |
31902767061 | import torch
import numpy as np
import tenseal as ts
from PIL import Image
import copy
import pdb
def ServerInference(enc_model, x_enc, windows_nb, kernel_shape, stride):
# Encrypted evaluation
enc_output = enc_model(x_enc, windows_nb)
return enc_output
def train_acc(output, target):
class_correct = l... | Drenches/Homomorphic-HalfFed | utils.py | utils.py | py | 2,638 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "torch.max",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.squeeze",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 32,
... |
18730824381 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
__author__ = 'Jonathan Chen'
__date__ = '2019-09-10'
'''
获取 user 配置信息
'''
import os
import sys
import time
import datetime
import paramiko
import telnetlib
import getpass
import smtplib
from datetime import date
from configparser import ConfigParser
from... | OldJohn86/godstock | demo/cfg.py | cfg.py | py | 2,610 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "email.mime.multipart.MIMEMultipart",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "datetime.date.today",
"line_number": 52,
"usage_type": "call"
},
{
"... |
14356203809 | from pyspark.sql import functions as F, SparkSession
from utils import create_table_ddl, format_date, apply_masking, get_column_valid_vals
from pyspark.sql.types import StringType, DoubleType, IntegerType
def process(spark, source_path, target_path, target_schema, table_name, table_schema, merge_key, cdc_key, timestm... | yasfaw/pistevo_decision | scripts/process.py | process.py | py | 4,184 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "utils.create_table_ddl",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "utils.apply_masking",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.functions.lit",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "... |
25142258970 | from flask import Flask
import random
app = Flask(__name__)
number = 0
@app.route('/')
def home():
global number
number = random.randint(0,9)
html = """
<center>
<h1>Guess a number between 0 and 9</h1>
<br>
<img src='https://media.giphy.com/media/3o7aCSPqXE5C6T8tBC/giphy.gif' width='200... | marcelo-gs/100DaysOfCode_Python | Day055/server.py | server.py | py | 936 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 13,
"usage_type": "call"
}
] |
32514518696 | from discord.ext import commands
categories = [ 1004064554780721242 ]
class Adventure(commands.Cog):
games = {}
async def CreateGame( self, ctx ):
if ( ctx.author.id in self.games ):
return False
c = None
for category in ctx.guild.categories:
if ( cate... | catornot/Liza | events.py | events.py | py | 566 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 5,
"usage_type": "name"
}
] |
40031774987 | #Given a sorted array nums, remove the duplicates in-place such that each element appears only once and returns the new length.
#Do not allocate extra space for another array, you must do this by modifying the input array in-place with O(1) extra memory.
from typing import List
class RemoveDuplicateValuesFromArray:
... | KatthakS/data_structures_in_python | LeetCode_Problems/remove_duplicates.py | remove_duplicates.py | py | 738 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "typing.List",
"line_number": 7,
"usage_type": "name"
}
] |
70824109991 | import subprocess
import argparse
from pathlib import Path
def submit_experiment_on_slurm(python_script_name, data_dir, experiment_type, argdict):
command = "sbatch slurm_job {} {} {}".format(
python_script_name, data_dir, experiment_type
)
argstring = " ".join(
["--{} {}".format(argname, ... | a-arbabi/learn2lpa | run_all_experiments_on_slurm.py | run_all_experiments_on_slurm.py | py | 4,261 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "subprocess.Popen",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
... |
28588445047 | import PIL.Image as Image
import os, sys
mw = 133 # 图片大小+图片间隔
ms = 5
msize = mw * ms
fpre = "x" #图片前缀
toImage = Image.new('RGBA', (msize, msize))
for y in range(1, 6): ## 先试一下 拼一个5*5 的图片
for x in range(1, 6):
# 之前保存的图片是顺序命名的，x_1.jpg, x_2.jpg ...
fname = "x_%s.jpg" % (ms*(y-1)+x)
... | littlesnail0/LittleSnail | tell_my_feeling_about_you/test.py | test.py | py | 626 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "PIL.Image.new",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number":... |
8211009006 | import reader
import argparse
parser = argparse.ArgumentParser(description='Parse OAM data.')
parser.add_argument('offsets', metavar='offsets', type=str, nargs='+',
help='offsets of OAM data')
args = parser.parse_args()
def getSigned(x):
return (x - 0x100, x)[x < 0x80]
def getOAM... | ElectroDeoxys/wl3 | tools/oam_extractor.py | oam_extractor.py | py | 2,945 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "reader.getROMByte",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "reader.getROMByte",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "reader.get... |
28754966810 | from typing import List
class BingoBoard:
'''A bingo board'''
def __init__(self, rows: List[str]):
'''Takes the five rows (in string format) and creates a bingo board.'''
self.numbers = [([int(number) for number in row.split()]) for row in rows]
self.marked = [([False] * 5) for _ in ra... | nlgilbert/advent_of_code_2021 | day04/bingo_board.py | bingo_board.py | py | 2,053 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "typing.List",
"line_number": 6,
"usage_type": "name"
}
] |
31283348833 | import re
import os
from bs4 import BeautifulSoup
from docx import Document
from docx.oxml.ns import qn
from docx.shared import Pt
from util import util
class Field:
def __init__(self, name='', type='', dtype='', comment=''):
self.name = name
self.type = type
self.dtype = dtype
se... | lukoou3/Toolbox | util/sqlParse.py | sqlParse.py | py | 14,083 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pprint.pprint",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "re.X",
"line_number": 53,
"usage_type": "attribute"
},
{
"api_name": "re.I",
"line_number": 53,
... |
33087677092 | # This is a sample Python script.
# Press Shift+F10 to execute it or replace it with your code.
# Press Double Shift to search everywhere for classes, files, tool windows, actions, and settings.
from openpyxl import Workbook
from openpyxl.utils import get_column_letter
from openpyxl import load_workbook
import PySimpl... | oskarar/Excelproject | main.py | main.py | py | 4,033 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "openpyxl.load_workbook",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "openpyxl.Workbook",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "openpyxl.utils.get_column_letter",
"line_number": 40,
"usage_type": "call"
},
{
"api_nam... |
33828137154 |
# coding: utf-8
# In[220]:
import pandas as pd
import numpy as np
from keras.models import Sequential
from keras.layers import Dense, Dropout
from keras import backend as K
from pylab import *
from sklearn import linear_model
from sklearn.model_selection import train_test_split, StratifiedKFold
from sklearn.neighbo... | vampiirre/case | ML.py | ML.py | py | 13,421 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pandas.read_csv",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
... |
27037969401 | import geopandas
import libpysal
import numpy
import pandas
import spopt
from spopt.region import RegionKMeansHeuristic
import warnings
import matplotlib.pyplot as plt
import geopandas as gpd
dim1 = 4
dim2 = 4
w = libpysal.weights.lat2W(dim1, dim2)
w.n
noclusters = 5
RANDOM_SEED = 12345
numpy.random.... | olivierdeforche/GEP | Clustering/tests/test_kmeansregions.py | test_kmeansregions.py | py | 2,487 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "libpysal.weights.lat2W",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "libpysal.weights",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.seed",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.... |
5928334192 | #!/usr/bin/env python
import pika
import time
import threading
# Consumer - odbiera zlecenia
# Dostawca posiada liste dostepnych produktow
# 1. dostawca -> klucze: tlen, buty; 2. dostawca -> klucze: tlen, plecak
# zlecenia identyfikowane sa przez nazwe Teamu oraz wewnetrzny
# numer zlecenia nadany przez Suppliera
o... | magdalena-b/systemy-rozproszone | homework_2/supplier.py | supplier.py | py | 3,426 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "time.sleep",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pika.BasicProperties",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "pika.BlockingConnection",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "pika.Connecti... |
15953375170 | import json
class Book(object):
def __init__(self, isbn, titlu, editura, an_publicare, gen_literar):
self.isbn = isbn
self.titlu = titlu
self.editura = editura
self.an_publicare = an_publicare
self.gen_literar = gen_literar
def toJSON(self):
return json.dumps(se... | RaduAndrei99/BookStoreDigital | DTOs/book.py | book.py | py | 392 | python | ro | code | 0 | github-code | 71 | [
{
"api_name": "json.dumps",
"line_number": 12,
"usage_type": "call"
}
] |
31719957437 | import numpy as np
import re
from utils.latin_bert.latin_bert import LatinBERT
from funcy import flatten
import torch
def get_nth_key(dictionary, n=0):
if n < 0:
n += len(dictionary)
for i, key in enumerate(dictionary.keys()):
if i == n:
return key
raise IndexError("dictionary i... | sebastian-nehrdich/latin-parser | parser/utils/load_bert_embeddings.py | load_bert_embeddings.py | py | 2,448 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "torch.zeros",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.from_numpy",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "utils.latin_bert.latin_bert.LatinBERT",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "re... |
9313664314 | import pytest
from pytest_rally.elasticsearch import TestCluster
from pytest_rally.rally import Rally
@pytest.fixture(scope="module")
def distribution_version(request):
return request.config.option.distribution_version
@pytest.fixture(scope="module")
def revision(request):
return request.config.option.revisi... | elastic/pytest-rally | pytest_rally/fixtures.py | fixtures.py | py | 797 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pytest.fixture",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pytest_rally.elasticsearc... |
70216946471 | """範例使用datetime顯示時間"""
from datetime import date,timedelta
# today = date.today()
# for i in range(1,10):
# today = today + timedelta(days=1)
# dayary = (str(today).split('-'))
# print ('-'.join([str(int(dayary[0])-1911),dayary[1],dayary[2]]))
#抓取到當日時間
today = date.today()
#顯示10筆日期
for i in range(1,10): #範圍取0~9... | royroyroy010/royTEST | Selenium/使用datetime_顯示時間.py | 使用datetime_顯示時間.py | py | 642 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "datetime.date.today",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "datetime.timedelta",
"line_number": 17,
"usage_type": "call"
}
] |
73700260068 | # -*- coding: utf-8 -*-
import requests
import time
#変数初期化
baseurl = "http://www1.mbrace.or.jp/od2/B/"
url = ""
file_name = ""
year = 0
mon = 0
first = ""
second = ""
day = 0
#20XXのXの部分を入れる 例：2002 -2017なら2と18
for year in range(2,18):
print()
for mon in range(1,13):
for day in range(1,32):
time.sleep(1)
... | cstenmt/boatrace | download_timetable.py | download_timetable.py | py | 966 | python | en | code | 16 | github-code | 71 | [
{
"api_name": "time.sleep",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 28,
"usage_type": "call"
}
] |
16889551663 | # -*- coding: utf-8 -*-
# @Author : Zhang
# @Email : zl16035056@163.com
# @File : dataloader.py
import torch
from torchvision import datasets, transforms
def loader(name):
print('Using MNIST dataset!\n')
if name == 'MNIST':
train_dataloader = datasets.MNIST(root='~/data', train=True, download=False,... | Turningl/fedavg_pytorch | utils/dataloader.py | dataloader.py | py | 883 | python | en | code | 6 | github-code | 71 | [
{
"api_name": "torchvision.datasets.MNIST",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torchvision.datasets",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "torchvision.transforms.ToTensor",
"line_number": 14,
"usage_type": "call"
},
{
"a... |
40155310460 | import pika
connection = pika.BlockingConnection(pika.ConnectionParameters('localhost'))
channel = connection.channel()
channel.queue_declare(queue='celery')
def callback(ch, method, properties, body):
print(" [x] Received %r" % body)
channel.basic_consume(callback,
queue='celery',
... | poplingue/lameufquijouedans | lameufquijouedans/consumer/consumer.py | consumer.py | py | 433 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "pika.BlockingConnection",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "pika.ConnectionParameters",
"line_number": 3,
"usage_type": "call"
}
] |
29454240287 | from datetime import datetime
from discord.ui import View, button, Button
from discord import Interaction, ButtonStyle, Embed
from .ticket_processor import TicketProcessor
from .modals_classes import NormalTicketModal, CollaborativeTicketModal
from utils.utils import save_data
class TicketMenuView(View):
ticket_p... | Sometimesfunny/discord_tickets_bot | tickets/buttons_views.py | buttons_views.py | py | 6,076 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "discord.ui.View",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "ticket_processor.TicketProcessor",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "discord.Interaction",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "m... |
15633041811 | import pathlib
from typing import Union
import logging
from ultralytics import YOLO
import numpy as np
logger = logging.getLogger(__name__)
# Reference: https://tech.amikelive.com/node-718/what-object-categories-labels-are-in-coco-dataset/
COCO_ORIGINAL_NAMES = [
"person",
"bicycle",
"car",
"motorcyc... | oele-isis-vanderbilt/ETTK | ettk/processing/seg_tracker.py | seg_tracker.py | py | 2,621 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "typing.Union",
"line_number": 99,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 99,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"l... |
38217248902 | from starflow.utils import ListUnion
import copy
from bson import SON
from model_categories import MODEL_CATEGORIES as CAT
all_models = ListUnion(CAT.values())
extraction = SON([ ('transform_average',SON([('transform_name','translation'),('percentile',[73,90,99])])),
('query',SON... | yamins81/v1framework | config/trans_inrot_extraction_percentile.py | trans_inrot_extraction_percentile.py | py | 1,063 | python | en | code | 1 | github-code | 70 | [
{
"api_name": "starflow.utils.ListUnion",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "model_categories.MODEL_CATEGORIES.values",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "model_categories.MODEL_CATEGORIES",
"line_number": 9,
"usage_type": "name... |
2724638429 | import cv2
import numpy as np
import simpleaudio as sa
# Load sound files
c4_wave_obj = sa.WaveObject.from_wave_file('c4.wav')
d4_wave_obj = sa.WaveObject.from_wave_file('d4.wav')
e4_wave_obj = sa.WaveObject.from_wave_file('e4.wav')
f4_wave_obj = sa.WaveObject.from_wave_file('f4.wav')
g4_wave_obj = sa.WaveObject.from_... | tuna0426/py | pytoadV1.py | pytoadV1.py | py | 3,004 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "simpleaudio.WaveObject.from_wave_file",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "simpleaudio.WaveObject",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "simpleaudio.WaveObject.from_wave_file",
"line_number": 7,
"usage_type": "... |
10427496470 | import pandas as pd
import datetime
import matplotlib.pyplot as plt
import numpy as np
import calendar
import sys
# read files from parent directory.
sys.path.append('../../')
#from psql_manictime import ManictimeDBConnect
from psql_manictime import CalcActivity
from psql_manictime import Params_status
from psql_manic... | meitosyou/general_plotter | general_plotter.py | general_plotter.py | py | 12,438 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "sys.path.append",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyp... |
23802388982 | import os
import subprocess
import hashlib
import openai
import json
from pathlib import Path
# receive email in O365 to check Apache AGE release
# Use Power Automate to send email to gpt-3 to extract commit hash and fingerprint
# clone and check out commit hash
# check fingerprint
# if fingerprint matches, then downl... | sorrell/apache_age_release_verification | compare.py | compare.py | py | 7,768 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "os.getenv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 19,
... |
70483594467 | from dash import Dash, html, dcc
import dash_bootstrap_components as dbc
from dash import Input, Output, callback
from dash.dependencies import Input, Output
from datetime import datetime
import pandas as pd
import plotly.express as px
from yahoo_fin.stock_info import *
style_input={'width':'14rem','height':'2rem','b... | tingatdallas/stock-dashboard-dash | pages/page1/layout_6_cash_flow.py | layout_6_cash_flow.py | py | 8,788 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "dash_bootstrap_components.Col",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "dash.html.H5",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "dash.html",
"line_number": 72,
"usage_type": "name"
},
{
"api_name": "dash.html.Div",
... |
13962664768 | from unicodedata import name
from unittest import result
import pymysql
connection = pymysql.connect(
host="localhost",
user="root",
password="password",
db="dummy"
)
cursor = connection.cursor()
select_query = "select * from employee"
try:
cursor.execute(select_query)
results = cursor.fetch... | leducthanguet/aws-server | rds/pymysql/read_record.py | read_record.py | py | 547 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "pymysql.connect",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "unicodedata.name",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "unicodedata.name",
"line_number": 22,
"usage_type": "name"
}
] |
18728336034 | #!/usr/bin/env python3
import math
import argparse
import random
import credb
import traceback
from multiprocessing import Process
from test import *
parser = argparse.ArgumentParser()
parser.add_argument("--server_port", type=int, default=5042)
parser.add_argument("--no_server", action="store_true")
parser.add_argume... | kaimast/credb | test/concurrent_call_programs.py | concurrent_call_programs.py | py | 1,710 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "credb.create_client",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Process",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "m... |
12139207848 | from airflow import DAG
from airflow.operators.python import PythonOperator
from airflow.providers.postgres.operators.postgres import PostgresOperator
from airflow.providers.postgres.hooks.postgres import PostgresHook
from datetime import datetime
default_args = {
'owner': 'airflow',
'depends_on_past': False,
... | weastel/airflow-dags | dags/Group_sessions_dag.py | Group_sessions_dag.py | py | 6,137 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "datetime.datetime",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "airflow.providers.postgres.hooks.postgres.PostgresHook",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "airflow.DAG",
"line_number": 86,
"usage_type": "call"
},
{
... |
18430703772 | #!/usr/bin/python
import psycopg2
try:
connection = psycopg2.connect(database="pivot_db",
user="postgres",
password="Needajob1",
host="database-1-postgres.ctjowhpkuywk.us-east-2.rds.amazonaws.com",
... | borisgarbuzov/project2 | lab/python_database/pg_ex.py | pg_ex.py | py | 2,685 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "psycopg2.connect",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "psycopg2.Error",
"line_number": 64,
"usage_type": "attribute"
}
] |
8329073088 | from django.contrib import admin
from django.contrib.auth.admin import UserAdmin
from src.users.models import User
@admin.register(User)
class UserAdmin(UserAdmin):
list_display = ("username", "email", "is_staff", "is_superuser",
"is_active", "is_deleted")
list_display_links = ("username"... | aliyanura/TestShop | src/users/admin.py | admin.py | py | 1,199 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "django.contrib.admin.register",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "src.users.models.User",
"line_number": 6,
"usage_type": "argument"
},
{
"api_name": "django.contrib.admin",
"line_number": 6,
"usage_type": "name"
}
] |
71646155428 | import pytest
from pyspark import SparkContext
import os
import multiprocessing
@pytest.fixture()
def eng():
if 'SPARK_HOME' not in os.environ:
import pyspark
path1 = pyspark.__file__
dir1 = os.path.dirname(path1)
parent = os.path.split(dir1)[0]
spark_home = os.path.split(p... | boazmohar/pySparkUtils | test/conftest.py | conftest.py | py | 648 | python | en | code | 2 | github-code | 70 | [
{
"api_name": "os.environ",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pyspark.__file__",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"l... |
36654853791 | from utils import list_graph
from collections import deque
def is_cycle(node,graph,vis):
q = deque([(node,-1)])
vis[node]=1
while q:
node,parent = q.popleft()
for neighbour in graph[node]:
if not vis[neighbour]:
vis[neighbour]=1
q.append((neighbo... | quirrelHK/DSA | Graphs/detect_cycle_bfs.py | detect_cycle_bfs.py | py | 760 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "collections.deque",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "utils.list_graph",
"line_number": 23,
"usage_type": "call"
}
] |
29097497781 | ## the attack on the genome data
from util import Embedder
import numpy as np
from sklearn.svm import SVC, LinearSVC
from sklearn import linear_model
import torch
import torch.utils.data as data_utils
import torch.optim as optim
import torch.nn as nn
import torch.nn.functional as F
from torch.nn import GRU, Embedding, ... | ravenSanstete/bert_privacy | adv_genome_position.py | adv_genome_position.py | py | 26,049 | python | en | code | 3 | github-code | 71 | [
{
"api_name": "matplotlib.use",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "seaborn.set",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "util.Embedder",
... |
74395776225 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import math
import paddle.fluid as fluid
from paddle.fluid.param_attr import ParamAttr
__all__ = [
"ResNet18_ACNet", "ResNet34_ACNet", "ResNet50_ACNet", "ResNet101_ACNet",
"ResNet152_ACNet"
]
class ... | gujingxiao/BaiduStar2020-Traffic-Sign-Detection-And-Pair-Competition-Solution | PaddleClas/ppcls/modeling/architectures/resnet_acnet.py | resnet_acnet.py | py | 10,546 | python | en | code | 16 | github-code | 70 | [
{
"api_name": "paddle.fluid.layers.pool2d",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "paddle.fluid.layers",
"line_number": 49,
"usage_type": "attribute"
},
{
"api_name": "paddle.fluid",
"line_number": 49,
"usage_type": "name"
},
{
"api_name": "padd... |
37945994614 | from multiprocessing import Pool
import asyncio
import hashlib
from datetime import datetime
import struct as st
from socket import *
ANS_TIME_OUT = 10
class Server:
MESSAGE_FORMAT = '32sc40sc256s256s'
def __init__(self, num_of_processes, listen_port):
self.server_online = True
self.semaphor... | doprinhas/HackHash | venv/Server.py | Server.py | py | 6,000 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "asyncio.Semaphore",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Pool",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "struct.unpack",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "struct.unpack",
... |
18157897384 | from collections import Counter
class HocSinh():
def __init__(self):
self.maLop = ""
self.tenLop = ""
self.hoTen = ""
self.ngaySinh = ""
self.gioiTinh = ""
def getMaLop(self):
return self.maLop
def getTenLop(self):
return self.tenLop
def getHo... | lequangit99/PyCode | b3_2.py | b3_2.py | py | 3,673 | python | vi | code | 0 | github-code | 70 | [
{
"api_name": "collections.Counter",
"line_number": 94,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 103,
"usage_type": "call"
}
] |
16302265292 | import json
import cv2
import math
import os
import sys
import time
import numpy as np
import traitlets
import pickle
import socket
from PIL import Image
import torch
import torchvision.transforms as transforms
from sklearn.pipeline import make_pipeline
from sklearn.preprocessing import StandardScaler
fr... | Huan80805/2022NMlab_final | trt_pose_hand/hand_pose_server_ws.py | hand_pose_server_ws.py | py | 4,301 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "json.load",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "trt_pose.coco.coco.coco_category_to_topology",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "trt_pose.coco.coco",
"line_number": 28,
"usage_type": "attribute"
},
{
"ap... |
12785789774 | from setuptools import setup
def get_version(filename):
"""
Parse the value of the __version__ var from a Python source file
without running/importing the file.
"""
import re
version_pattern = r"^ *__version__ *= *['\"](\d+\.\d+\.\d+)['\"] *$"
match = re.search(version_pattern, open(filena... | ucamhal/jsonlogging | setup.py | setup.py | py | 1,495 | python | en | code | 1 | github-code | 70 | [
{
"api_name": "re.search",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "re.MULTILINE",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "setuptools.setup",
"line_number": 18,
"usage_type": "call"
}
] |
973510108 | import requests
from pprint import pprint
from tqdm import tqdm
class FotosYD:
def __init__(self, token_YD):
self.token = token_YD
def get_headers(self):
return {
"Content-Type": "application/json",
"Authorization": "OAuth {}".format(self.token),
}
def get... | RogiKuchvesh/Reserv_copy_to_YDisk | fotos_to_YD.py | fotos_to_YD.py | py | 1,201 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "requests.put",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pprint.pprint",
"line_number... |
16765071804 | import os
from fastapi import FastAPI
from fastapi.responses import FileResponse
import uvicorn
import json
app = FastAPI()
@app.get("/")
async def main():
return FileResponse('img/map.jpg')
@app.get("/origin")
async def original_img():
return FileResponse('img/out.jpg')
@app.get("/slots")
async def fre... | ioiein/Parking-free | server/app.py | app.py | py | 521 | python | en | code | 1 | github-code | 70 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "fastapi.responses.FileResponse",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "fastapi.responses.FileResponse",
"line_number": 18,
"usage_type": "call"
},
{
"api_... |
1673432127 | from django.contrib import admin
from .models import Curso, Docente
# Register your models here.
#1 admin.site.register(Curso)
@admin.register(Curso) #3
class CursoAdmin(admin.ModelAdmin): #2 y #3
#ordering=('-nombre',) #tupla indicarlo con la coma
#ordering=('creditos', 'nombre')
#search_fields=('nom... | Sergio395/Universidad_PostgreSQL | Aplicaciones/Academico/admin.py | admin.py | py | 1,263 | python | es | code | 0 | github-code | 70 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.register",
"line_number": 6,
"usage_type": "call"
},
{
... |
72460971746 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Jun 6 14:01:34 2019
@author: thibault
Just Model
Architecture of unet
"""
import numpy as np
from keras.layers.convolutional import Conv2D, Conv2DTranspose
from keras.layers.pooling import MaxPooling2D
from keras.layers.merge import concatenate
from ... | thibaulttabarin/UnAxSeg | unet_4_user/utility/Model.py | Model.py | py | 2,802 | python | en | code | 2 | github-code | 70 | [
{
"api_name": "keras.layers.convolutional.Conv2D",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "keras.layers.BatchNormalization",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "keras.layers.Activation",
"line_number": 26,
"usage_type": "call"
},
... |
17839944704 | import pickle
import pypdb as pyp
from bioservices import *
import networkx as nx
import collections
import numpy as np
import scipy
import operator
import random
import community
import matplotlib.pyplot as plt
import os
# This file contains functions used in the main file or in the mining file. Some f... | tavisreed/CSE416FinalProject | Code/helper_functions.py | helper_functions.py | py | 30,535 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pypdb.get_ligands",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "pypdb.get_ligands",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "pickle.dump",
"line_number": 110,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"l... |
30821938494 |
import os
import numpy as np
import torch
import torch.nn as nn
from torch.utils.data import DataLoader
from torch.utils.tensorboard import SummaryWriter
from model import *
from dataset import *
from util import *
import matplotlib.pyplot as plt
from torchvision import transforms
def train(args):
## 트레이닝 파라메... | hanyoseob/youtube-cnn-005-pytorch-GAN | train.py | train.py | py | 10,000 | python | en | code | 3 | github-code | 70 | [
{
"api_name": "numpy.asarray",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.float",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "torch.device",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",... |
35831369385 | from collections import defaultdict
from datetime import date, timedelta
from PIL import Image, ImageFont, ImageDraw
from os import mkdir
from os.path import dirname, join, exists
depend_extra = ('coords.txt',)
jobs = ('source', 'modelduration', 'sizes', 'totalsize')
options = dict(failframes=53)
missing_dates = s... | exaxorg/backblaze_animation | movie/a_render.py | a_render.py | py | 6,976 | python | en | code | 2 | github-code | 70 | [
{
"api_name": "datetime.date",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "PIL.ImageFont.truetype",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "PIL.ImageFont",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "os.mkdir",
"li... |
21942767583 | import unittest
import threading
import traceback
from nose.plugins.skip import SkipTest
from test.utils import (joinall, remove_all_users,
server_started_with_auth, RendezvousThread)
from test.test_client import get_client
from test.utils import get_pool
from pymongo.pool import SocketInfo, _... | Georce/lepus | lepus/pymongo-2.7/test/test_threads.py | test_threads.py | py | 11,563 | python | en | code | 333 | github-code | 71 | [
{
"api_name": "threading.Thread",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "threading.Thread.__init__",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": ... |
39065849605 | from collections import Counter
t = int(input())
for i in range(t):
size = int(input())
array = list(map(int, input().split()))
if size == 1:
print("-1")
else:
heights = sorted(Counter(array).items())
for idx in heights:
array.append(idx[1])
for idx in array:
... | shantanudwvd/PythonHackerrank | monkbeingmonitor.py | monkbeingmonitor.py | py | 361 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "collections.Counter",
"line_number": 9,
"usage_type": "call"
}
] |
71053153510 | #!/usr/bin/env python3
""" A simple parser for the Enron e-mail corpus """
import argparse
import json
import matplotlib.pyplot as plt
import operator
import dateutil.parser
import itertools
import pandas as pd
import numpy as np
import networkx as nx
from collections import Counter, defaultdict
import timeit
def pr... | csrhau/sandpit | latex/enron_report/scripts/important_network.py | important_network.py | py | 2,197 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "argparse.FileType",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "argparse.FileType",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "json.load... |
7973194274 | '''
# @ Author: Zhi Wu
# @ Create Time: 2022-08-09 12:36:35
# @ Modified by: Zhi Wu
# @ Modified time: 2022-08-09 12:37:06
# @ Description: Install scripts.
'''
import setuptools
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
setuptools.setup(
name='HIBERTools',
v... | wuzhiwyyx/HIBER | HIBERTools/setup.py | setup.py | py | 823 | python | en | code | null | github-code | 71 | [
{
"api_name": "setuptools.setup",
"line_number": 14,
"usage_type": "call"
}
] |
30060614801 | import streamlit as st
from bmoderiva import lib
from dotenv import load_dotenv
import os
load_dotenv()
df = lib.get_data(os.getenv('REMOBS_TOKEN'))
df1 = lib.get_data_bmo(os.getenv('REMOBS_TOKEN'))
mapbox_token = os.getenv("MAPBOX_TOKEN")
st.write("# BMO-BR DERIVA")
st.write(f"## DADO TAG")
if df.empty:
st.w... | soutobias/bmoderiva | app.py | app.py | py | 1,047 | python | pt | code | 0 | github-code | 71 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "bmoderiva.lib.get_data",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "bmoderiva.lib",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "os.getenv",
... |
6709198242 |
import pandas as pd
import numpy as np
import chardet
def Random_Time(size):
import datetime
import time
import random
end_time=datetime.datetime.now()
start_time=datetime.datetime.now() + datetime.timedelta(days=-10) # 当前时间减去3分钟
a1=tuple(start_time.timetuple()[0:9]) #设置开始日期时间元... | ycallenchina/PythonStudy_Git | Pandas学习/pandas实验室.py | pandas实验室.py | py | 3,710 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "datetime.datetime.now",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "da... |
22269427831 | """ Text-Classify by DeepLearning """
import pandas as pd
from tqdm import tqdm
from sklearn import preprocessing
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.model_selection import train_test_split
from src.utils.word2vec import sent2vec
from src.utils.matplot import draw_acc
import numpy ... | technologyMz/Text-Classify | src/nn_tc.py | nn_tc.py | py | 4,631 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "sklearn.feature_extraction.text.TfidfVectorizer",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.LabelEncoder",
"line_number": 45,
"usage_type": "ca... |
11599811813 | import os
import shutil
from invoke import Collection, task
default_venv_python = "python3"
precommit_config_basename = ".pre-commit-config.yaml"
ignore_revs_basename = ".git-blame-ignore-revs"
# setting up some directory paths
this_dir = os.path.dirname(os.path.abspath(__file__))
venv_dir = os.path.join(this_dir, "... | ghackebeil/home-energy | tasks.py | tasks.py | py | 5,094 | python | en | code | 1 | github-code | 70 | [
{
"api_name": "os.path.dirname",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line... |
43217345529 | from email.mime import base
from lib2to3.pytree import convert
from os import write
from requests import request
import requests
from openpecha.core.ids import get_base_id,get_initial_pecha_id
from datetime import datetime
from openpecha.core.layer import Layer, LayerEnum
from openpecha.core.pecha import OpenPechaFS
f... | jungtop/multilingual | create_opf.py | create_opf.py | py | 2,354 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "openpecha.core.ids.get_base_id",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "openpecha.core.pecha.OpenPechaFS",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "openpecha.core.layer.LayerEnum.segment",
"line_number": 28,
"usage_type":... |
72030468710 | from ultralytics import YOLO
from PIL import Image
import cv2
import matplotlib.pyplot as plt
#load large oiv7 model
model = YOLO('./yolov8x-oiv7.pt')
#results = model('https://www.americanrifleman.org/media/uman22jj/fn-america-high-power-stainless-steel-f.jpg')
results = model('./testimg3.jpg')
detection_result =... | lorincm/machine-vision-project | misi_playground/object_detection2.py | object_detection2.py | py | 1,182 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "ultralytics.YOLO",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "PIL.Image.fromarray",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "cv2.imread",
"line_... |
19287374525 | import numpy as np
from .._fiff.pick import _picks_to_idx
from ..evoked import Evoked
from ..utils import _ensure_int, _validate_type, verbose
def _temp_proj(ref_2, ref_1, raw_data, n_proj=6):
# Orthonormalize gradiometer and magnetometer data by a QR decomposition
ref_1_orth = np.linalg.qr(ref_1.T)[0]
r... | mne-tools/mne-python | mne/preprocessing/_css.py | _css.py | py | 2,921 | python | en | code | 2,405 | github-code | 71 | [
{
"api_name": "numpy.linalg.qr",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "numpy.linalg.qr",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
... |
8155113402 | import pygame
# Initialize Pygame
pygame.init()
# Set up the display window (width, height)
screen = pygame.display.set_mode((600, 400))
# Define colors for easier reference later on
WHITE = (255, 255, 255)
BLACK = (0, 0, 0)
# Define the positions of the paddles
player1_paddle_x = 20
player1_paddle_y = 200
player2_... | FlamesLLC/TheInfiniteArcade- | PongAI.py | PongAI.py | py | 2,510 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "pygame.init",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.s... |
33672700884 | from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, String
Base = declarative_base()
class Example(Base):
__tablename__ = 'examples'
id = Column(Integer, primary_key=True)
name = Column(String)
def __init__(self, id_, name):
self.id = id_
... | thesnapdragon/python-cli | db/models/example.py | example.py | py | 420 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "sqlalchemy.ext.declarative.declarative_base",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integer",
"line_number": 10,
"usage_type": "argument"
},
{
... |
3715739253 | """Tests the `namespaces` Module.
This module provides full unit test coverage for the `namespaces` module,
testing all branches of all functions.
"""
# Standard
import argparse
# Local
from pydantic_argparse import utils
def test_namespace_to_dict() -> None:
"""Tests `utils.namespaces.to_dict` Function."""
... | SupImDos/pydantic-argparse | tests/utils/test_namespaces.py | test_namespaces.py | py | 940 | python | en | code | 54 | github-code | 71 | [
{
"api_name": "pydantic_argparse.utils.namespaces.to_dict",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pydantic_argparse.utils.namespaces",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "pydantic_argparse.utils",
"line_number": 18,
"usage_ty... |
15241595611 | from multiprocessing.sharedctypes import Value
import torch
import torch.nn as nn
from torch.nn import functional
from transformers import AutoModel, AutoConfig, BertConfig
from transformers.models.bert import BertModel
# !note leave to modify
class InvRNN(nn.Module):
"""
A RNN-based invariant rationalization... | srhthu/Simple-Trainer | model.py | model.py | py | 12,918 | python | en | code | 2 | github-code | 71 | [
{
"api_name": "torch.nn.Module",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "transformers.AutoModel.from_pretrained",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "... |
69903042471 | from typing import List
class Solution:
def maxSum(self, nums: List[int], m: int, k: int) -> int:
# we definitely need a set to track number of unique elements which will be in current sub
# array
max_sum, current_sum = 0, 0
window_start = 0
LEN = len(nums)
allowed_... | naveen17797/leetcode-py | max-sum-of-almost-unique-subarray/solution.py | solution.py | py | 1,031 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
}
] |
74644803429 | import bisect
import sys
import collections
def counter_sum(counter):
retval = 0
for num, cnt in counter.items():
retval += num * cnt
return retval
def counter_mul(counter):
retval = 1
for num, cnt in counter.items():
retval *= num ** cnt
return retval
def solve():
M = i... | hepheir/Problem-Solving | Google Coding Competitions/Code Jam/2021/Round 1A/Prime Time/.py | .py | py | 1,348 | python | en | code | 2 | github-code | 71 | [
{
"api_name": "sys.stdin.readline",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "collections.Counter",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "collections.deq... |
29284514643 | from flask import Flask
from flask_restful import Api
from flask import request
from src.model.model_haarcascade import ModelHaarcascade
from src.controller.apis.controller_face_recognizer import ControllerFaceRecognizer
from src.controller.apis.controller_machine import ControllerMachineLearning
from src.controller.ap... | jpsandovaln/AT16-SKYNET | MACHINE_LEARNING_SERVICE/main.py | main.py | py | 4,042 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "absolute_path.AbsolutePath.get_absolute_path",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "absolute_path.AbsolutePath",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 23,
"usage_type": "call"
},
{
... |
29964751091 | import requests
import pendulum
from pyspark.context import SparkContext
from pyspark.dbutils import DBUtils
from pyspark.sql import SparkSession, DataFrame, Window
from pyspark.sql.functions import (
input_file_name,
lit,
when,
min,
max,
concat_ws,
sha2,
to_json,
)
spark = SparkSessio... | pennfoster/databricks-pipelines | shared/functions/metadata_utilities.py | metadata_utilities.py | py | 5,953 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pyspark.sql.SparkSession.builder.getOrCreate",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.SparkSession",
"line_number": 18,
"usage_t... |
70732532710 | import pya
import os
from .draw_mos import *
from .mos import mos_ld, mos_grw
USER = os.environ['USER']
gds_path = f"/home/{USER}/.klayout/pymacros/cells/efuse"
def draw_efuse(layout):
layout.read(f"{gds_path}/efuse.gds")
#layout.read(f"{gds_path}/efuse_bitline.gds")
cell_name = "efuse_cell"
return... | egorxe/gf180_efuse_compiler | klayout/pymacros/cells/draw_efuse.py | draw_efuse.py | py | 16,130 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "os.environ",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "pya.Point",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "pya.CellInstArray",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "pya.Trans",
"line_numb... |
15823534067 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Sep 24 15:27:31 2018
@author: marcos
"""
import silabas as si
import recortar as co
import os, itertools, shutil
import numpy as np
import matplotlib.pyplot as plt
from skimage.filters import threshold_otsu
#Consigo todos los archivos
home = os.getcwd... | mwappner/Tesis | Analisis cantos/estudio_motivos_v2.py | estudio_motivos_v2.py | py | 7,849 | python | es | code | 0 | github-code | 71 | [
{
"api_name": "os.getcwd",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number":... |
32178825527 | from django.shortcuts import render,redirect
from django.http import HttpResponse, JsonResponse
from django.core import serializers
import json
from .models import *
# Create your views here.
def home(request):
allMovies = movie.objects.all() #queryset
data = {
"movies": list(allMovies.values()),
... | mantu-sharma2/Movie-reviews-Web-page | movie_review/main/views.py | views.py | py | 1,124 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "django.http.JsonResponse",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.core.serializers.serialize",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "django.core.serializers",
"line_number": 19,
"usage_type": "name"
},
{
... |
15112360030 | import networkx as nx
import matplotlib.pyplot as plt
import random as rnd
from friend import friend
graph_size = (18, 12)
def show_network(network_graph):
"""
Displays the specified network with associated nodes and edges.
Args:
network_graph: A network graph object.
"""
node_color = [10... | Wibbo/network | graph.py | graph.py | py | 813 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "networkx.spring_layout",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "net... |
19233569151 | from datetime import date
def voto(idade):
if idade >= 18 and idade < 70:
return 'OBRIGATÓRIO'
elif idade >= 70 or idade >= 16 and idade < 18:
return 'OPCIONAL'
else:
return 'NEGADO'
anoDeNascimento = int(input('Em que ano você nasceu?: '))
idade = date.today().year - anoDeNascime... | Mathesu-veLi/Python | cursoEmVídeo/Mundo 3/Aula 20 e 21 (Funções)/Parte 2/Desafio 101.py | Desafio 101.py | py | 400 | python | pt | code | 0 | github-code | 71 | [
{
"api_name": "datetime.date.today",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 13,
"usage_type": "name"
}
] |
41668610399 | from typing import Callable, TypedDict
import logging
from flask import Flask, request
from .blueprints import stripe_connect
import stripe
log = logging.getLogger(__name__)
class StripeBusinessProfile(TypedDict):
name: str
url: str
email: str
class Flask_SaaS:
"""Flask SaaS routes for Stripe Conne... | KarmaComputing/flask-saas | src/flask_saas/flask_saas.py | flask_saas.py | py | 4,871 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "typing.TypedDict",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "flask.Flask",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "typing.Callable",
"... |
36701839942 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# vim:fenc=utf-8
"""
About: The SFC-Ostack Resource Manager
Managed Resources:
- OpenStack Resources: nova, neutron
- SFC Resources: port pair, port pair group, port chain
Email: xianglinks@gmail.com
"""
import json
import logging
import os
import sys
import t... | stevelorenz/sfc-ostack | sfc-ostack/sfcostack/dev/rsc_mngr.py | rsc_mngr.py | py | 7,560 | python | en | code | 3 | github-code | 71 | [
{
"api_name": "sys.path.insert",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
34590787313 | """Module containing JMCFunction subclasses for custom JMC function that can only be used on load function and used once"""
from ..jmc_function_mixin import EventMixin
from ...exception import JMCMissingValueError
from ...datapack import DataPack
from ..utils import ArgType, hash_string_to_string
from ..jmc_function im... | WingedSeal/jmc | src/jmc/compile/command/builtin_function/load_once.py | load_once.py | py | 3,892 | python | en | code | 47 | github-code | 71 | [
{
"api_name": "jmc_function.JMCFunction",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "datapack.DataPack.private_name",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "datapack.DataPack",
"line_number": 31,
"usage_type": "name"
},
{
"ap... |
73080187110 | import logging
from typing import Dict, List
from PyQt5.QtCore import Qt, QThread, pyqtSignal, QObject
from PyQt5.QtGui import QIcon
from PyQt5.QtWidgets import QAction, QHeaderView
from config.settings import COL_INFO
from lib.get_resource_path import get_resource_path
from module.execute_queries import execute_quer... | hxz393/ConfigCenterComparer | ui/action_start.py | action_start.py | py | 13,405 | python | zh | code | 2 | github-code | 71 | [
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtCore.QObject",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.pyqtSignal",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "ui.lan... |
3390071620 | import pygame as pg
from pygame.locals import KEYUP, K_ESCAPE
class GameEngine:
def __init__(self, w = 640, h = 480, fps = 1):
pg.init()
self.w, self.h, self.fps = w, h, fps
self.screen = pg.display.set_mode((self.w, self.h))
self.running = False
def mainLoop(self):
self.running = True
while(self.r... | hoppfull/Learning-Python | PyGame/pygame3/ex1/myGameEngine.py | myGameEngine.py | py | 491 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pygame.init",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pygame.event.get... |
33224745946 | import requests
class PokemonService:
def __init__(self):
self.URL = 'https://pokeapi.com/api/v2'
def lista_pokemons(self):
pokemons = []
for numero in range(1, 1000):
response = requests.get(f'{self.URL}/pokemon/{numero}')
if not response.ok:
... | gustapinto/fatec | Desenvolvimento web 3/2022-05-11/pokemon_service.py | pokemon_service.py | py | 860 | python | en | code | 2 | github-code | 71 | [
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 22,
"usage_type": "call"
}
] |
9560961388 | from typing import List
class Solution:
def wordBreak(self, s: str, wordDict: List[str]) -> List[str]:
if not s or not wordDict:
return []
self.words = []
N = len(s)
dp = [False] * (N + 1)
dp[0] = True
memo = {}
for length in range(1, N + 1):
... | yanansun2020/leetcode | python/dp/140-Word-Break-II.py | 140-Word-Break-II.py | py | 1,592 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "typing.List",
"line_number": 3,
"usage_type": "name"
}
] |
19351654857 | import os
import queue
import typing
import warnings
import flatbuffers
import igraph as ig
from . import tflite as tfl
from .base import ExtendedOperator
from tinynn.util.util import get_logger
log = get_logger(__name__, 'INFO')
class CommonGraph(object):
graph: ig.Graph
tensor_map: typing.Dict[str, tfl.... | alibaba/TinyNeuralNetwork | tinynn/converter/operators/graph.py | graph.py | py | 30,436 | python | en | code | 661 | github-code | 71 | [
{
"api_name": "tinynn.util.util.get_logger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "igraph.Graph",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "typing.Dict",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "typing... |
30451490536 | import time
import random
from selenium import webdriver
from selenium.webdriver import ActionChains
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.firefox.options import Options
RESOLUTIONS = [
(1920, 1080),
(1... | timesqueezer/fmexp | fmbot/bot.py | bot.py | py | 3,430 | python | en | code | 2 | github-code | 71 | [
{
"api_name": "selenium.webdriver.firefox.options.Options",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Firefox",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 34,
"usage_type": "name"
},
... |
37169103702 | import numpy as np
import pandas as pd
from scipy.linalg import block_diag, norm
from pyFBS.utility import coh_frf
class VPT(object):
"""
Virtual Point Transformation (VPT) - enables transformation of measured responses to a virtual DoFs. Current
implementation enables rigid interface deformation modes an... | anantagrg/FBS_Substructuring | pyFBS/VPT.py | VPT.py | py | 15,653 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "numpy.asarray",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_num... |
9160549324 | import pandas as pd
import json
import os
import time
from datetime import datetime, timedelta
from pytrends.request import TrendReq
# code to export search periods JSON.stringify(arr.map(x => ({name: x.name, from: `${x.year_start}-${x.month_start.toString().padStart(2,'0')}-${x.day_start.toString().padStart(2,'0')} $... | idoshamir/GoogleTrendsTerrorWaves | main.py | main.py | py | 3,596 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "json.load",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pytrends.request.TrendReq",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "dateti... |
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