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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
74899513641 | ## imaging_360.py
# This example demonstrates how to read all 4 csi cameras and display in a single openCV window. If you encounter any errors,
# use the hardware_test_csi_camera_single.py script to find out which camera is giving you trouble.
from pal.utilities.vision import Camera2D
import time
import struct
impor... | calvinlee326/Quanser | Lab/cameraTest.py | cameraTest.py | py | 6,548 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "time.time",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 27,
... |
71803601319 | import random
import chaos
import rune
weapon_enchantment_dict = {
'1': 'Additional Damage',
'2': 'Characteristic Gain',
'3': 'Characteristic Drain',
'4': 'Bane Weapon',
'5': 'Flame Attack',
'6': 'Poison Attack',
'7': 'Degeneration Attack',
'8': 'Freeze Attack',
'9': 'W... | jdougnac/WFRP-Magic-Item-Generator | weapon.py | weapon.py | py | 13,903 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "random.randint",
"line_number": 106,
"usage_type": "call"
},
{
"api_name": "rune.pick_weapon",
"line_number": 108,
"usage_type": "call"
},
{
"api_name": "chaos.pick_weapon_chaos",
"line_number": 110,
"usage_type": "call"
},
{
"api_name": "random.ran... |
9705044220 | from astropy.nddata import support_nddata
from astropy import log
import numpy as np
from astropy.wcs import wcs
import craspy.axes as axes
from .index import _slab
from .homogen import synthesize_bubbles
import matplotlib.pyplot as plt
def _draw_spectra(data, wcs=None, unit=None,velocities=False):
try:
... | maray/craspy | craspy/display.py | display.py | py | 11,719 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "craspy.axes._get_axis",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "astropy.wcs.wcs",
"line_number": 15,
"usage_type": "argument"
},
{
"api_name": "craspy.axes",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "astropy.log.war... |
72301560361 | from enum import Enum
from collections import namedtuple
import re
class Transação(object):
"""docstring for Transação"""
# Estados possíveis em que uma transação pode estar
(INICIADA, LENDO, COMMITED) = (1, 2, 3)
def __init__(self, identificador, operações):
super(Transação, self).__init__()
self.identificad... | carolhmj/escalonamentoValidacao | transação.py | transação.py | py | 3,936 | python | pt | code | 0 | github-code | 18 | [
{
"api_name": "re.findall",
"line_number": 92,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 114,
"usage_type": "call"
}
] |
5792985292 | import vision
import telebot
import os
import time
# Так делать не стоит: токены/пароли и прочее стоит хранить в переменных окружения или конфигурационных файлах.
# Я не буду это исправлять потому что мне лень
# bot = telebot.TeleBot("1918344985:AAFnF5zliY0ULGMLxXE0X4WxXb69aJzDzc8")
# Так наверно можно писать, но на... | overman05/Floor-bot | all_vision.py | all_vision.py | py | 1,777 | python | ru | code | 0 | github-code | 18 | [
{
"api_name": "telebot.TeleBot",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "vision.save_image_from_camera",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "vision.count_faces",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "time... |
74597976040 | from typing import List
import mido
def get_midi_notes(msg_list: List):
cache = []
notes = []
for msg in msg_list:
if msg.is_meta or (msg.type != 'note_on' and msg.type != 'note_off'):
continue
if cache:
chord = [(MidiNote(cache[0][0], cache[0][1], msg.time))]
... | calclark/PyMidiMind | midimind/model/midi_note.py | midi_note.py | py | 2,473 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "mido.Message",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "mido.Message",
"line_number": 51,
"usage_type": "call"
}
] |
30423386651 | import argparse
import os
import sys
from importlib import metadata
from typing import Callable, Optional
from jmeslog import core, model
from jmeslog.constants import DEFAULT_RENDER_TEMPLATE
from jmeslog.errors import NoChangesFoundError, ValidationError
SUB_CMD_FUNC = Callable[[argparse.Namespace], int]
def cmd_n... | jamesls/jmeslog | src/jmeslog/cli.py | cli.py | py | 5,461 | python | en | code | 8 | github-code | 18 | [
{
"api_name": "typing.Callable",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "argparse.Namespace",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "argparse.Namespace",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "jmesl... |
9801437600 | import os
import sys
import random
import itertools
import numpy as np
import datetime
import tensorflow as tf
os.environ['CUDA_VISIBLE_DEVICES'] = '0'
gpus = tf.config.experimental.list_physical_devices('GPU')
for gpu in gpus:
tf.config.experimental.set_memory_growth(gpu, True)
def main():
BASE_MODEL_NAMES ... | NahyeKim/DeepBE | DeepBE-Web/bin/DeepBE.py | DeepBE.py | py | 10,547 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "os.environ",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.config.experimental.list_physical_devices",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tensorflow.config",
"line_number": 11,
"usage_type": "attribute"
},... |
75457527719 | import XSSSD
import asyncio
import tkinter as tk
from tkinter import *
import sys
#sys.setrecursionlimit(10000)
class App:
async def exec(self):
self.window = Window(asyncio.get_event_loop())
await self.window.show()
class Window(Tk):
def __init__(self, loop):
... | Danekar/Proyectos-Unversitarios | XSSSD/XSSSD/XSSSD-Interface.py | XSSSD-Interface.py | py | 4,386 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "asyncio.get_event_loop",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tkinter.StringVar",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "tkinter.StringVar",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "tkinter.La... |
3625160114 | import torch.nn.functional as F
import torch, torch.nn as nn
from ._head import Detect
from ._blocks import MLP, Conv
from .yolov5.models.yolo import check_anchor_order
"""
just another bad model
"""
class BlockMLPv2(nn.Module):
def __init__(self, ch_in, ch_out, mlp_size=5):
super().__init__()
se... | thomasreolon/svs_detection | models/mlp_v2.py | mlp_v2.py | py | 4,375 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "_blocks.MLP",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.nn.Sequential",
"... |
74416756519 | from typing import List
class Solution:
def wordBreak(self, s: str, wordDict: List[str]) -> bool:
def isSubstring(s:str, t:str):
return s[:len(t)] == t
dp = [False] * (len(s) + 1)
dp[len(s)] = True
for i in range(len(s), -1, -1):
for word in wordDic... | ryanchua00/Blind75 | 1-D Dynamic Programming/wordBreak.py | wordBreak.py | py | 757 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
}
] |
43491315097 | #!/usr/bin/env python
# -*- coding: UTF-8 -*-
import os
from glob import glob
from Bio.Blast import NCBIWWW
def parse_fasta(filename):
# f = open(filename, 'r')
sequences = {}
for line in filename:
if line.startswith(">"):
name = line.rstrip("\n")
sequences[name] = ""
... | programing-basic-Tutor/python_database | blast_seq.py | blast_seq.py | py | 1,071 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "glob.glob",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "Bio.Blast.NCBIWWW.qblast",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "Bio.Blast.NCBIWWW",
"line_number": 29,
"usage_type": "name"
}
] |
19838822977 | """
Dataset class adapted from https://github.com/nmhkahn/MemN2N-pytorch/blob/master/memn2n/dataset.py
"""
import torch
import torch.utils.data as data
from data_utils import *#load_task, vectorize_data
class bAbIDataset(data.Dataset):
def __init__(self, dataset_dir, task_id=1, memory_size=70, train=True):
... | anantzoid/Recurrent-Entity-Networks-pytorch | dataset.py | dataset.py | py | 2,184 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.utils.data",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "torch.utils.data",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "torch.L... |
31806495791 | import ntpath
import os
import re
import sys
import time
if os.name == 'nt':
import win32clipboard as wincb
wincb_formats = {val: name for name, val in vars(wincb).items() if name.startswith('CF_')}
import pyperclip
SIDEBAR_ROW_HEIGHT = 25
CUT_ENABLED = None
def get_os_type():
if sys.platform.startswit... | bussierem/Osmium | utils/utilities.py | utilities.py | py | 3,437 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "os.name",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "sys.platform.startswith",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sys.platform",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "os.name",
"... |
21119432444 | """
Given an array, for each element find the value of nearest element to the right
which is having frequency greater than as that of current element. If there does
not exist an answer for a position, then make the value ‘-1’.
"""
from collections import defaultdict
def next_greater_freq_element(elements: list) -> li... | rrwt/daily-coding-challenge | gfg/stack/next_greater_freq_element.py | next_greater_freq_element.py | py | 991 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "collections.defaultdict",
"line_number": 16,
"usage_type": "call"
}
] |
72403027559 | from flask import Flask, request
import os
import json
app = Flask(__name__)
app.debug = True
app.config["UPLOAD_PATH"] = "/Users/sameal/Documents/PROJECT/zombie_enterprise/web/uploads"
@app.route("/")
def hello_world():
return "Hello World!"
@app.route("/upload", methods=["GET", "POST"])
def upload():
f = r... | gfdskl/zombie-enterprise | web/upload.py | upload.py | py | 847 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.request.files",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "os.path.join",
... |
8094912361 | import requests
from bs4 import BeautifulSoup
from data_crawler.utils import load_json_file, save_list_to_file
from data_crawler.data_prep import CodePreprocess
from selenium import webdriver
import traceback
from time import sleep
from selenium.webdriver.firefox.options import Options
import os
options = Options()
op... | ltkk/programing-language-identify | data_crawler/get_code_by_tag.py | get_code_by_tag.py | py | 2,039 | python | en | code | 13 | github-code | 18 | [
{
"api_name": "selenium.webdriver.firefox.options.Options",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "data_crawler.utils.load_json_file",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "data_crawler.utils.load_json_file",
"line_number": 18,
"usag... |
5963090056 | from django.db.models import Q, Sum, F, Func, Max, Min
from rest_framework import filters
from rest_framework import viewsets
from rest_framework.response import Response
from time_tracker.models import TimeReport
from time_tracker.serializers import TimeReportSerializer
from time_tracker.permissions import TimeRepor... | mtrdesign/mtr-time-tracker | rest/time_tracker/views/time_report.py | time_report.py | py | 2,798 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "rest_framework.viewsets.ModelViewSet",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.viewsets",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "time_tracker.models.TimeReport.objects.all",
"line_number": 40,
"usage_... |
29580937831 | import librosa.display
import numpy as np
import matplotlib.pyplot as plt
y,sr = librosa.load(r'D:\数据集\EmoDB\03a01Fa.wav')
plt.figure()
D = librosa.amplitude_to_db(np.abs(librosa.stft(y)),ref=np.max)
# stft短时傅里叶变换，复数的实部：np.abs(D(f,t))频率的振幅
# 幅度转为分贝，ref为参考值
plt.subplot(2,1,1)
librosa.display.specshow(D,y_axis='linear')... | luozhan-jn/my_repository | 08--标准频谱.py | 08--标准频谱.py | py | 649 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "librosa.display.load",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "librosa.display",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib... |
8778519444 | import pygame
import random
# Initialize Pygame
pygame.init()
# Set the window size
WINDOW_SIZE = (1000, 700)
# Create the window
screen = pygame.display.set_mode(WINDOW_SIZE)
# Set the title of the window
pygame.display.set_caption('Circle Collision')
# Set the default background color
screen.fill((255, 255, 255)... | RaxMoth/RockPagerScissorsSimulator | RockPaperScissorsGame.py | RockPaperScissorsGame.py | py | 8,287 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pygame.init",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pygame.display... |
43556778941 | #!/usr/bin/env python
"""
Echo transforms to terminal and publish to tf.
Based on source code by Shuo Han.
https://github.com/hanshuo/ros_rigit.git
SCL; 5 Jun 2014
"""
import roslib; roslib.load_manifest('ptrack')
import rospy
import tf
from geometry_msgs.msg import Pose2D
from ptrack.msg import pose_objects
import... | slivingston/ptrack | nodes/pose_listener.py | pose_listener.py | py | 1,641 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "roslib.load_manifest",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "rospy.init_node",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "rospy.Subscriber",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "ptrack.msg.pose... |
21580191710 | import logging
import time
import json
import os
from arena_wrapper.arena_orchestrator import ArenaOrchestrator
from arena_wrapper.enums.object_output_wrapper import ObjectOutputType
from modeling.inference.model_executors.placeholder_model_executor import ArenaPHModel
BASE_DIR = os.environ['SUBMISSIONS_DIR_PATH']
... | amazon-science/alexa-arena | eval_ai/run_evalai_test.py | run_evalai_test.py | py | 4,721 | python | en | code | 75 | github-code | 18 | [
{
"api_name": "os.environ",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "arena_wrapper.arena_orchestrator.ArenaOrchestrator",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "modeling.inference.model_executors.placeholder_model_executor.ArenaPHModel",
... |
37704409479 | import numpy as np
from matplotlib import pyplot as plt
def draw_histogram(bins: np.ndarray, histogram: np.ndarray, title=None, xlabel=None, ylabel=None, style='g:'):
plt.figure(num=None, figsize=(16, 5), dpi=80, facecolor='w', edgecolor='k')
plt.plot(bins[:-1], histogram, style)
plt.title(title)
plt.y... | MargaritaBelova/eeg_demo | draw_graphs.py | draw_graphs.py | py | 3,703 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.ndarray",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "matplotlib... |
9769230233 | import asyncio
import datetime
import random
import websockets
print(' ========= websocket is going to run =========')
async def livereload(websocket, path):
while True:
now = datetime.datetime.utcnow().isoformat() + "U"
await websocket.send(now)
await asyncio.sleep(random.random() * 3)
... | iii706/examazon | websocket_server.py | websocket_server.py | py | 529 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "datetime.datetime.utcnow",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "asyncio.sleep",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "random.... |
33969312369 | import cv2
import numpy as np
import math
import time
from statistics import stdev
# Constant
XCAM_WIDTH = 32
XCAM_HEIGHT = 32
VIDEO_WIDTH = XCAM_WIDTH * 6 # Defined from firmware
VIDEO_HEIGHT = XCAM_HEIGHT * 6
# Video device has to be in global scope
np.set_printoptions(threshold=np.nan)
np.set_printoptions(pr... | jacksonlau-mi/MI_XCAM_Test | MI_XCAMtest.py | MI_XCAMtest.py | py | 7,508 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.set_printoptions",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.nan",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "numpy.set_printoptions",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cv2.Vide... |
29365597786 | from design_patterns.factory import Factory
from paramiko import AutoAddPolicy, SSHClient, SSHException, AuthenticationException
from socket import error
import json
from os import chmod
'''
Classes that tests servers in search for non-protected services
'''
class CrawlerInterface:
def __init__(self):
self... | OlivierKessler01/ip-network-crawler | crawler/crawler.py | crawler.py | py | 4,377 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "paramiko.SSHClient",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "paramiko.AutoAddPolicy",
"line_number": 68,
"usage_type": "argument"
},
{
"api_name": "paramiko.AuthenticationException",
"line_number": 83,
"usage_type": "name"
},
{
"ap... |
42157825699 | import pytest
from dbinspector.utils import determine_identifier_type, format_list_entry, check_data_age, clear_dir
from dbinspector.utils import get_ncbi, get_uniprot
from dbinspector.exceptions import FileMissingError
import os
import os.path as osp
from pathlib import Path
HOME = str(Path.home())
TEST = osp.join(H... | laurendelong21/DBInspector | dbi_pkg/tests/test_utils.py | test_utils.py | py | 2,905 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pathlib.Path.home",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numbe... |
4819146032 | """
88. Merge Sorted Array
You are given two integer arrays nums1 and nums2, sorted in non-decreasing order, and two integers m and n, representing the number of elements in nums1 and nums2 respectively.
Merge nums1 and nums2 into a single array sorted in non-decreasing order.
The final sorted array should not be ret... | tkwang0530/LeetCode | 0088.py | 0088.py | py | 3,558 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 50,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 65,
"usage_type": "name"
},
{
"api_name": "unittest.TestCase",
"line_number": 88,
"usage_type": "attribute"
},
{
"api_name": "unittest.main",
"l... |
25578812149 | # REになる...なぜ
import sys
read = sys.stdin.readline
from functools import reduce
class SqrtDecomposedList:
def __init__(self, ls, segfunc, identity_element):
from math import sqrt, ceil
from copy import copy
self.f = segfunc # queryのfunction
self.ide = identity_element
self.... | masakiaota/kyoupuro | practice/C_ARC/arc033_3/arc033_3_SqrtDecompose.py | arc033_3_SqrtDecompose.py | py | 2,880 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "sys.stdin",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "copy.copy",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "math.ceil",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 15,
... |
23819380063 | from base64 import encode
import re
from unittest.mock import patch
import numpy as np
import torch
from torch.utils.data import Dataset,DataLoader
from torch.nn.utils.rnn import pad_sequence
import os
import pickle
import numpy as np
from torch.autograd import Variable
import csv
import itertools,argparse
from collect... | ggkong/tfCompared | Script/charnn_Script/step1_get_Vocab.py | step1_get_Vocab.py | py | 2,312 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "re.split",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "csv.DictReader",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "itertools.chain",
... |
22536083384 | import tensorflow as tf
import numpy as np
from PIL import Image
import io
import os
import shutil
import json
class Logger(object):
def __init__(self, log_dir, suffix=None):
try:
self.writer = tf.summary.FileWriter(log_dir, filename_suffix=suffix)
except AttributeError:
# l... | zilongzheng/CycleCoopNets | utils/logger.py | logger.py | py | 2,858 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "tensorflow.summary.FileWriter",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tensorflow.summary",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "... |
38921236360 | # -*- coding: utf-8 -*-
import os
import yaml
import json
import random
import logging
import requests
import traceback
from flask import Response, Flask
from flask import request
from subprocess import Popen
from ppyappLib import ppyHandler
from baseappLib import baseHandler
from commLib import appTools
... | huhuibin147/interbotAPI | app/apiapp.py | apiapp.py | py | 3,473 | python | en | code | 19 | github-code | 18 | [
{
"api_name": "yaml.load",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
... |
40411875821 | import os
import numpy as np
import flask
import pickle
from flask import Flask, render_template, request
import pandas as pd
app=Flask(__name__)
@app.route('/')
@app.route('/index')
def index():
return flask.render_template('index.html')
def addfeatures(data):
if data.Name.str.contains('((?:Mr\.|Mrs\.|Miss\.... | bhbharat/Titanic-Survival-prediction-webapp | WebApp/main.py | main.py | py | 1,556 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame.from_dict",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pandas.Da... |
35101880285 | import numpy as np
import matplotlib.pyplot as plt
import matplotlib.cm as cm
import itertools
# Read in string
N = [20, 50, 100, 200, 250]
sigma = [0.05, 0.08, 0.1]
coordVals = []
eigVals = []
marker = itertools.cycle(('o', 'v', '^', 'h', 'd', 'p'))
colors = cm.jet(np.linspace(0, 1, len(N)))
fig, axs = plt.subplot... | quang-ha/dec_parallel_project | plot_scripts/noise_conv_3.py | noise_conv_3.py | py | 1,172 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "itertools.cycle",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.cm.jet",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "matplotlib.cm",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "numpy.linspace",
... |
18588258046 | print(__doc__)
# =========================================================================== #
# Imports
# =========================================================================== #
# Critical Imports
# --------------------------------------------------------------------------- #
import warnings; warnings.filterwa... | franec94/Pittsburgh-Bridge-Dataset | pittsburgh-bridges-data-set-analysis/project_stats/utils_stats/fit_utils.py | fit_utils.py | py | 9,231 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "seaborn.set",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.newaxis",
"line_number": 72,
"usage_type": "attribute"
},
{
"api_name": "sklearn.model_s... |
12191039920 | from typing import Type, Dict
from asyncio import StreamReader, StreamWriter
from ..FileManager import FileManager
from ..Response import Response
from ..Database import Database
from .baseRequest import Request
from .requestHeader import RequestHeader
from .requestHeader import RequestCode
class Re... | Styxer/DefensiveSystemsOpenUin | ממן15/Maman15/Server/Requet/requestHandler.py | requestHandler.py | py | 1,497 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "Response.Response",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "requestHeader.RequestCode",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.Type",... |
8488828060 | # The code is modified from https://github.com/Stanou01260/chessbot_python/blob/master/code/chessboard_detection.py
import numpy as np
import cv2 # OpenCV
import pyautogui # Used to take screenshots and move the mouse
import mss # Used to get superfast screenshots
import game_state_classes
def find_chess... | karayaman/voice-to-chess-notation | chessboard_detection.py | chessboard_detection.py | py | 2,556 | python | en | code | 6 | github-code | 18 | [
{
"api_name": "numpy.array",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pyautogui.screenshot",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "mss.mss",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_numb... |
14643217024 | import tkinter as tk
import pyperclip
import subprocess
import pytesseract
from PIL import ImageGrab
from AnswerFromOpenAI import *
from config import line
class ClipboardWatcher:
def __init__(self):
# 创建窗口
self.root = tk.Tk()
# 创建字符串变量并设置初始值
self.clipboard_var = tk.StringVar... | cobingx/ExperimentDemo | src/python/监听剪切板并从GPT获得回答.py | 监听剪切板并从GPT获得回答.py | py | 2,393 | python | zh | code | 0 | github-code | 18 | [
{
"api_name": "tkinter.Tk",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "tkinter.StringVar",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pyperclip.paste",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "tkinter.Label",
"lin... |
40202542715 | #!/usr/bin/env python
'''
Matplotlib [Python]
Ejemplos de clase
---------------------------
Autor: Inove Coding School
Version: 1.1
Descripcion:
Programa creado para mostrar ejemplos prácticos de los visto durante la clase
'''
__author__ = "Inove Coding School"
__email__ = "alumnos@inove.com.ar"
__version__ = "1.1"
... | InoveAlumnos/matplotlib_python | anexo/ejemplos_ppt.py | ejemplos_ppt.py | py | 5,396 | python | es | code | 1 | github-code | 18 | [
{
"api_name": "numpy.linspace",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "matplotlib.... |
37734795722 | import openpyxl
from openpyxl import Workbook
import datetime
from tkinter import messagebox
from tkinter import *
import os
jzr = Tk()
jzr.title('Ledger')
jzr.geometry('300x120+700+300')
label1 = Label(jzr, text='Types of consumption:', font=('Microsoft Yahei', 10), fg='green')
label1.grid(row=0, column=0)
label2 ... | Dixon3220/PythonProgramming | origin/Ledger.py | Ledger.py | py | 2,228 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "tkinter.messagebox.showinfo",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "tkinter.messagebox",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "tkinter.messagebox.showinfo",
"line_number": 32,
"usage_type": "call"
},
{
"api_na... |
70985166439 | # -*- coding: utf-8 -*-
from PySide6.QtCore import QSettings
from scihub_eva.globals.versions import *
from scihub_eva.utils.sys_utils import *
class Preferences(object):
if is_macos():
QSettings.setDefaultFormat(QSettings.Format.NativeFormat)
SETTINGS = QSettings(
QSettings.NativeFo... | leovan/SciHubEVA | scihub_eva/utils/preferences_utils.py | preferences_utils.py | py | 1,346 | python | en | code | 941 | github-code | 18 | [
{
"api_name": "PySide6.QtCore.QSettings.setDefaultFormat",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "PySide6.QtCore.QSettings",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "PySide6.QtCore.QSettings.Format",
"line_number": 11,
"usage_type": "at... |
35277591083 | #!/usr/bin/env python
# coding: utf-8
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.model_selection import StratifiedKFold
import time
import zipfile
from PIL import Image
import torch
import torch.nn as nn
import torchvision
import torch.backends.cudnn as cudnn
import torch.opti... | PeiHuaWu/2021VRDL_HW1 | ResNet50.py | ResNet50.py | py | 14,499 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "torch.device",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "torch.cu... |
74518546598 | from django.conf import settings
from django.conf.urls import include, url
from django.conf.urls.static import static
from django.contrib import admin
from django.views.generic import TemplateView
from django.views import defaults as default_views
from rest_framework_jwt.views import obtain_jwt_token
from space_manager... | yoojat/Space-Manager | config/urls.py | urls.py | py | 2,500 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.conf.urls.url",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.conf.settings.ADMIN_URL",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 12,
"usage_type": "name"
},
{
"api... |
7111330078 | from nltk.tree import *
from fastapi import FastAPI
from itertools import *
def flatten_nested_list(lst):
if not any((type(i) == list) for i in lst):
return [lst]
result = []
for position, item in enumerate(lst):
if type(item) == list:
for nested_item in item:
... | dmytromk/test_syntax | app.py | app.py | py | 3,219 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 95,
"usage_type": "call"
}
] |
72345087401 | #指先を検出するプログラム
import cv2
import numpy as np
import sys
from scipy.spatial import distance
import time
def main():
# 入力画像の取得
t1 = time.time()
im = cv2.imread("%s"%param[1])
height,width = im.shape[:2]
gray = cv2.cvtColor(im, cv2.COLOR_BGR2GRAY)
gray = cv2.threshold(gray, 0, 255, cv2.THRESH_BINA... | uni4/research | yubisaki_test.py | yubisaki_test.py | py | 2,513 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "time.time",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_numb... |
7175258026 | from opensearchpy import OpenSearch
host = 'localhost'
port = 9200
auth = ('admin', 'admin') # For testing only. Don't store credentials in code.
# ca_certs_path = '/full/path/to/root-ca.pem' # Provide a CA bundle if you use intermediate CAs with your root CA.
# Optional client certificates if you don't want to use H... | tianrking/t_ad_help_data-1 | demo/add_data.py | add_data.py | py | 1,524 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "opensearchpy.OpenSearch",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sentence_transformers.SentenceTransformer",
"line_number": 37,
"usage_type": "call"
}
] |
71294955239 | """
Filename: pca_tryme
Purpose: Test the pca_tools module
Author: John Weaver
Date created: 02.05.18
Possible problems:
"""
# ------------------------------------------------------------------------------
# Standard Packages
# ------------------------------------------------------------------------------
import nu... | astroweaver/pygappy | pca_tryme.py | pca_tryme.py | py | 3,737 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "numpy.random.seed",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 54,
"usage_type": "attribute"
},
{
"api_name": "pygappy.pca_projection.eigenbasis",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": ... |
17686258174 | from django.db import models
from django.conf import settings
from django.contrib.auth.models import User
from django.utils import timezone
from django.urls import reverse
# Create your models here.
#Quiz Model
class Quiz(models.Model):
title = models.CharField(max_length=100, verbose_name="Quiz Title")
slug =... | WhizzyDoc/mediquiz | quiz/models.py | models.py | py | 6,702 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.db.models.Model",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": ... |
20701944545 | import json
from datetime import datetime
import pymysql
import requests
from dotenv import dotenv_values
from fastapi import HTTPException
from pymysql import MySQLError
config_env = dotenv_values(".env")
def replace_none_with_empty_string(data):
if isinstance(data, list):
return [replace_none_with_emp... | yuinakorn/send_ddc | send_ddc_controller.py | send_ddc_controller.py | py | 9,731 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "dotenv.dotenv_values",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pymysql.cursors",
"line_number": 103,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 108,
"usage_type": "call"
},
{
"api_name": "dat... |
33983146943 | #!/usr/bin/env python
# WS server example that synchronizes state across clients
import asyncio
import json
import logging
import websockets
from definitions import WEBSOCKET_IP, WEBSOCKET_PORT
logging.basicConfig()
STATE = {"task": None,
"parameters": None}
USERS = set()
def parameters_event():
if ... | Neuro-Mechatronics-Interfaces/JSON_Parameters_Exporter | server.py | server.py | py | 3,043 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.basicConfig",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_numb... |
16877926449 | # createmasks stage
import argparse
from functools import partial
from pathlib import Path
from typing import Iterable, Union
import psutil
from pygeos.set_operations import union
import geopandas as gpd
import numpy as np
import pandas as pd
import rioxarray
import xarray as xr
from shapely.geometry import Polygon
... | cwerner/deadtrees | scripts/createmasks.py | createmasks.py | py | 6,931 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "pandas.Series",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "shapely.geometry.Polygon",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "shapely.geometry.Polygon",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "... |
18073545539 | from PyQt5 import QtCore, QtGui, QtWidgets
from module import Ui_module
import glob
from pathlib import Path
import os
__copyright__ = "Copyright 2019, RISE Research Institutes of Sweden"
__author__ = "Naveed Anwar Bhatti and Martina Brachmann"
class mainmodule(QtWidgets.QDialog):
def __init__(self, parent=None... | martinabr/Smart-Implicit-Hub | SmartImplicitHub/mainmodule.py | mainmodule.py | py | 1,698 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "PyQt5.QtWidgets.QDialog",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtWidgets",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QDialog.__init__",
"line_number": 14,
"usage_type": "call"
},
{
"api... |
40541138226 | from pymatgen.analysis.adsorption import AdsorbateSiteFinder
from pymatgen.core.structure import Structure
from pymatgen.core.surface import Slab, SlabGenerator
import numpy as np
# struct = Structure.from_file("POSCAR")
# asf = AdsorbateSiteFinder(struct)
def slab_from_structure(miller, structure):
return Slab(... | fyalcin/CAMD2022 | main.py | main.py | py | 1,800 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pymatgen.core.surface.Slab",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.eye",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.int",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "pymatgen.ext.matp... |
21382732336 | from django.conf.urls import url
from . import views
# mysite/urls.py 에서 url(r'', include('blog.urls')) 했어서
# Django will redirect everything that comes into htp://127.0.0.1:8000/
# to blog.urls and look for further instructions there.
urlpatterns = [
url(r'^$', views.home, name='home'),
url(r'^category/([0-9... | BowonY/django-tutorial | blog/urls.py | urls.py | py | 556 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.conf.urls.url",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.... |
37870589612 | import csv
import datetime
import os
import re
import titlecase
from beancount.core import amount
from beancount.core import data
from beancount.core import flags
from beancount.core import number as beancount_number
from beancount.ingest import importer
_COLUMN_DATE = 'Posting Date'
_COLUMN_PAYEE = 'Description'
_CO... | mtlynch/beancount-chase-bank | beancount_chase/checking.py | checking.py | py | 4,885 | python | en | code | 9 | github-code | 18 | [
{
"api_name": "re.compile",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "re.IGNORECASE",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "beancount.ingest.importer.ImporterProtocol",
"line_number": 21,
"usage_type": "attribute"
},
{
"api... |
42781017827 | from modules.menu import Menu
from modules.pizza import Pizza
menu = Menu()
def saveMenu(file_path, menu):
##sauvegarder le menu dans le fichier file_path
fichier = open(file_path, 'w')
fichier.write("menu :\n")
fichier.write(str(menu))
fichier.close()
def getMenuFromFile(file_path):
##recu... | badre-Idrissi/tpPython | pizzeria_python_poo.py | pizzeria_python_poo.py | py | 2,862 | python | fr | code | 0 | github-code | 18 | [
{
"api_name": "modules.menu.Menu",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "modules.pizza.Pizza",
"line_number": 33,
"usage_type": "call"
}
] |
560978255 | from typing import Optional
import tokenizers
# toks from https://github.com/facebookresearch/esm/blob/main/esm/constants.py#L7
# prepend/append toks from https://github.com/facebookresearch/esm/blob/main/esm/data.py#L153
PROTEINSEQ_TOKS = {
"toks": [
"L",
"A",
"G",
"V",
"S... | irhum/esmjax | esmjax/tokenizer.py | tokenizer.py | py | 2,696 | python | en | code | 13 | github-code | 18 | [
{
"api_name": "typing.Optional",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "tokenizers.Tokenizer",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "tokenizers.models.WordLevel",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "toke... |
12460174596 | from data import windows, signal, WINDOW_SIZE, fs
from matplotlib import pyplot as plt
from matplotlib import transforms
from matplotlib.gridspec import GridSpec
from numpy import fft
from waterfall_plot import plot_waterfall
import numpy as np
spectral_content = fft.rfft(windows, axis=0)
normed_spectral_content = np.... | ccsf18-flow/dsp-blog | beat_detector.py | beat_detector.py | py | 1,819 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.fft.rfft",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "data.windows",
"line_number": 9,
"usage_type": "argument"
},
{
"api_name": "numpy.fft",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "numpy.abs",
"line_number":... |
3360625344 | from datetime import datetime
import sqlite3 as sql
con = sql.connect("bank_data.db")
cur = con.cursor()
import traceback
global account_no
global cust_id
def change_addr():
address = input("Enter address : ")
cur.execute('UPDATE customer SET address = (?) WHERE cust_id = (?);',(address, cust_id))
... | pranjali97/Bank-management-cli-based | profile.py | profile.py | py | 7,102 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sqlite3.connect",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "traceback.print_exc",
"line_number": 48,
"usage_type": "call"
}
] |
4003040454 | import argparse
import sys
from absl import app
from google.protobuf import message
from google.protobuf import text_format
from tensorflow.core.framework import graph_pb2
from tensorflow.core.protobuf import config_pb2
from tensorflow.core.protobuf import meta_graph_pb2
from tensorflow.core.protobuf import saved_mod... | tensorflow/tensorflow | tensorflow/python/grappler/cost_analyzer_tool.py | cost_analyzer_tool.py | py | 4,250 | python | en | code | 178,918 | github-code | 18 | [
{
"api_name": "tensorflow.python.platform.gfile.GFile",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "tensorflow.python.platform.gfile",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "tensorflow.core.protobuf.saved_model_pb2.SavedModel",
"line_number": ... |
18044278247 | import platform
import json
from flask import Flask
from flask import render_template
from cpuinfo import get_cpu_info
import os
import socket
class Machine:
# constructor where i get all system information
def __init__(self):
cpu_data = get_cpu_info()
self.type = platform.machine()
s... | Snoopyyyyy/3bci-python | Partie3.py | Partie3.py | py | 1,309 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cpuinfo.get_cpu_info",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "platform.machine",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "platform.node",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "platform.system",... |
11214174565 | import sys
import traceback
import logging
from surprise.model_selection import cross_validate
from auto_surprise.algorithms.base import AlgorithmBase
from auto_surprise.constants import (
DEFAULT_TARGET_METRIC,
CV_N_JOBS,
DEFAULT_HPO_ALGO,
)
from auto_surprise.context.limits import TimeoutException
from a... | ISG-Siegen/Auto-Surprise | auto_surprise/trainer.py | trainer.py | py | 4,551 | python | en | code | 25 | github-code | 18 | [
{
"api_name": "auto_surprise.constants.DEFAULT_TARGET_METRIC",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "auto_surprise.constants.DEFAULT_HPO_ALGO",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 32,
"usage_type... |
1995103337 | from typing import TypeAlias
from foundry import data_dir
from foundry.game.Data import Mario3Level
from smb3parse.util import hex_int
LevelAddress: TypeAlias = int
EnemyItemAddress: TypeAlias = int
ObjectData: TypeAlias = tuple[LevelAddress, bytearray]
EnemyItemData: TypeAlias = tuple[EnemyItemAddress, bytearray]
L... | mchlnix/SMB3-Foundry | foundry/game/level/__init__.py | __init__.py | py | 1,499 | python | en | code | 84 | github-code | 18 | [
{
"api_name": "typing.TypeAlias",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "typing.TypeAlias",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "typing.TypeAlias",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "typing.TypeAlias",
... |
30396658814 | import asyncio
import Time
from db import db
from loader import dp, bot
from aiogram import types
from aiogram.types import Message
from aiogram.dispatcher.filters import Command, Text
from aiogram.dispatcher import FSMContext
from misc.throttling import rate_limit
from states import States
from aiogram.contrib.fsm_s... | qwetry4444/tgbotAiogram | message_handler.py | message_handler.py | py | 5,227 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "aiogram.types.Message",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "aiogram.types",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "db.db.user_exists",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "db.db",
... |
18144335486 | from email.policy import HTTP
from rest_framework import status
from rest_framework.decorators import api_view
from rest_framework.response import Response
from django.utils.html import escape
from ..business.bcainvdetu import BCaInvDetU
from ..business.bcainvcab import BCaInvCab
from base.business.bproducto import BP... | vengardus/erdemo01 | base/apirest/apirest_view.py | apirest_view.py | py | 7,319 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "rest_framework.response.Response",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "rest_framework.decorators.api_view",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "base.business.bproducto.BProducto",
"line_number": 33,
"usage_type": ... |
33848396869 | from typing import Dict, Type, NamedTuple, Any, Callable, TypeVar, Union
T = TypeVar("T")
NamedTuple_T = TypeVar("NamedTuple_T", bound=Type[NamedTuple])
Json_Object = Dict[str, Any]
Simple_Type = Union[int, bool, float, str, Json_Object]
def unseralize_object(cls: Type[T], value: Simple_Type) -> T:
"""Convert a ... | Tadaboody/serialize_named_tuple | serialize_named_tuples.py | serialize_named_tuples.py | py | 949 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "typing.TypeVar",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "typing.TypeVar",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "typing.Type",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "typing.NamedTuple",
"line_... |
9756853715 | # -*- coding: utf-8 -*-
import requests
from urllib.parse import urlparse, urlunparse
from .message import Message
class Session:
def __init__(self):
self.messages = {} #: my message catalog (message key => Message)
self.friends = {} #: my friends, trusted public keys (key => alias)
se... | eblade/friendface | friendface/session.py | session.py | py | 2,413 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.Session",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "message.key",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "message.calculate_key",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "message.in_re... |
30581114634 | #!/usr/bin/env python3
import plotly as plt
import plotly.graph_objs as go
from datetime import datetime
data_file = '/home/matt/pi_data/temperature.log'
dates = []
temps = []
dates_to_graph = []
temps_to_graph = []
try:
with open( data_file, 'r' ) as f:
for line in f:
date = ' '.join( lin... | mmarano25/my-room-temperature | graph_data.py | graph_data.py | py | 1,487 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "da... |
42044743389 | from .Linker import Linker
from utils.CommandUtils import CommandUtils
class GNULinker(Linker):
# 32bit Linux dependent
LINKER = "/usr/bin/ld"
DYNAMIC_LINKER = "/lib/ld-linux.so.2"
C_RUNTIME_INIT = "/usr/lib32/crti.o"
C_RUNTIME_START = "/usr/lib32/crt1.o"
C_RUNTIME_START_PIE = "/u... | U-Ar/Cpresto | cpc/sysdep/GNULinker.py | GNULinker.py | py | 1,849 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "Linker.Linker",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "utils.CommandUtils.CommandUtils.invoke",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "utils.CommandUtils.CommandUtils",
"line_number": 37,
"usage_type": "name"
},
{
... |
1205120271 | from collections import deque
def dfs(list_v, v, visited_dfs):
visited_dfs[v] = True
print(v, end=' ')
for i in list_v[v]:
if not visited_dfs[i]:
dfs(list_v, i, visited_dfs)
def bfs(list_v, v, visited_bfs):
queue = deque([v])
visited_bfs[v] = True
while queue:
resul... | hanuirangroovy/Baekjoon | solved.ac/3/1260.py | 1260.py | py | 932 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "collections.deque",
"line_number": 11,
"usage_type": "call"
}
] |
10424630073 | import csv
import cv2
from keras.models import load_model
import numpy as np
from collections import deque
import os
model = load_model('QuickDraw.h5')
names = [
"apple",
"bow",
"candle",
"door",
"envelope",
"fish",
"guitar",
"ice-cream",
"thunder",
"moon",
"mountain",
... | SzymonNowak/NewYearsEveChallenge | QuickDraw-master/QuickDrawApp.py | QuickDrawApp.py | py | 2,405 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "keras.models.load_model",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "cv2.line",
"l... |
23546194430 | import json
import logging
import unittest
import mock
from osm_mon.plugins.OpenStack.Aodh import alarming as alarm_req
from osm_mon.plugins.OpenStack.common import Common
log = logging.getLogger(__name__)
auth_token = mock.ANY
endpoint = mock.ANY
class Response(object):
"""Mock a response message class."""... | usmanjavaiduj/OSM | MON/osm_mon/test/OpenStack/test_alarming.py | test_alarming.py | py | 10,326 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "mock.ANY",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "mock.ANY",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "json.dumps",
"line_... |
12537482502 | from PIL import Image
from pptx import Presentation
from pptx.util import Inches, Pt
import os
import sys
import math
prs = Presentation()
# adjustable, in inches
prs.slide_width = Inches(16)
prs.slide_height = Inches(9)
blank_slide_layout = prs.slide_layouts[6] # an empty slide
def get_image_size(image_path): # obt... | iyui1223/AutoPPTX | autoPPTX/insertFigPPT.py | insertFigPPT.py | py | 7,168 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "pptx.Presentation",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pptx.util.Inches",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pptx.util.Inches",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
... |
29920058064 | from sklearn import metrics
from Evaluation import eval_util
from EvaluateDifficulty import DifficultyEvaluator
from TrackDifficulty import TrackDifficulty
import slopeMap as sm
TEST_TILES_PATH = 'test_tiles\\'
def get_model_predictions(tracks: list, shingle_length=1, neighbors=5) -> list:
"""
Gets the predi... | baraloni/NeedleInDataHaystack | Evaluation/eval_diffuculty.py | eval_diffuculty.py | py | 2,523 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "EvaluateDifficulty.DifficultyEvaluator",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "Evaluation.eval_util.get_exp_dataframe",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "Evaluation.eval_util",
"line_number": 34,
"usage_type": "na... |
8493465530 | #!/home/claytonblythe/anaconda3/bin/python
from PIL import Image
import glob
from tqdm import tqdm
import os
import argparse
from PIL import ImageFilter
def get_args():
'''This function parses and return arguments passed in'''
# Assign description to the help doc
parser = argparse.ArgumentParser(descriptio... | claytonblythe/movie_colorify | processFrames.py | processFrames.py | py | 2,767 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "PIL.Image.new",
"line... |
39957817272 | #!/usr/bin/env python
# tsv2gaussian.py - given a TSV file of a particular shape and an integer, plot Gaussian clusters after doing PCA
# configure
PCA_COMPONENTS = 3
# require
from sklearn.decomposition import PCA
from sklearn.mixture import GaussianMixture
import matplotlib.pyplot as plt
import pandas as pd
import... | ericleasemorgan/machine-learning | bin/tsv2gaussian.py | tsv2gaussian.py | py | 1,626 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "seaborn.set",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "sys.stderr.write",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"line_num... |
36832174363 | # -*- coding: utf-8 -*-
import requests
import json
import random
lista_cat = ["love","science","art","biographies","fantasy","romance","religion","recipes", "mystery","music", "medicine","history", "chilcren","sci-fi"]
print('Dime la categoría')
subject= raw_input() #selecionar por menus la que sea
url = "https:/... | RexusWolf/OLib-Bot | OLib Programa/categorias.py | categorias.py | py | 980 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "random.randrange",
"line_number": 32,
"usage_type": "call"
}
] |
37281455400 | # This program calculates the Index of Coincidence in a text
from collections import Counter
import re
import unicodedata
#regex = re.compile(r"[a-zA-ZΆ-ώ]+")
# regular expression: match all latin and greek letters
regex = r"[a-zA-ZΆ-ώ]+"
# this function removes all diacritics from input_str
def remove_accents(inpu... | fotisAnagnostopoulos/CompCrypt | ic.py | ic.py | py | 1,642 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "unicodedata.normalize",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "unicodedata.combining",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "re.finditer",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "re.MULTILINE"... |
74817359719 | # -*- coding: utf-8 -*-
from __future__ import print_function
from __future__ import absolute_import
import os
import glob
import imageio
import scipy.misc as misc
import numpy as np
import copy as cp
import matplotlib.pyplot as plt
import matplotlib.image as img
import pylab
import tensorflow as tf
def get_uninit... | falconjhc/W-Net | utilities/utils.py | utils.py | py | 5,472 | python | en | code | 27 | github-code | 18 | [
{
"api_name": "tensorflow.errors",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.image",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "scipy.misc.imread",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "matplotlib.... |
20325250222 | import math
import sympy as sy
def sy_func_to_lambda(f):
x = sy.Symbol('x')
print(f)
f = lambda y: f.subs(x, y)
return f
def fitFunc(val, a, b, func_array):
"""
:param val: значение функции или х_0
:param a: левый конец отрезка
:param b: правый конец отрезка
:param func_array: фу... | SashaPavlenko/NumericalAnalys | Anya/funcs.py | funcs.py | py | 1,452 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sympy.Symbol",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sympy.Symbol",
"line_number": 21,
"usage_type": "call"
}
] |
33637527598 | # pip install --upgrade python-gitlab
import gitlab
import os
gl = gitlab.Gitlab(private_token="<token-gitlab-com>")
glnew = gitlab.Gitlab('<URL-selfhosted-gitlab>', private_token="<token-selfhosted-gitlab>")
gl.auth()
glnew.auth()
groups = gl.groups.list()
for x in groups:
print(x.id)
newgrp = x.name.repl... | mmaks17/gitlab-migration | gtlabmigrator.py | gtlabmigrator.py | py | 997 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "gitlab.Gitlab",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "gitlab.Gitlab",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 25... |
21835112255 | import json
from tuckshop.page.page_base import PageBase, VariableVerificationTypes
from tuckshop.core.config import Config
from tuckshop.app.models import Inventory, User
from tuckshop.core.tuckshop_exception import TuckshopException
from tuckshop.core.permission import Permission
class Credit(PageBase):
"""Cla... | MatthewJohn/Tuckshop | tuckshop/page/credit.py | credit.py | py | 3,809 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "tuckshop.page.page_base.PageBase",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "tuckshop.core.permission.Permission.ACCESS_CREDIT_PAGE",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "tuckshop.core.permission.Permission",
"line_numb... |
7580869504 | from .stats import (
compute_year_histogram,
compute_author_histogram,
compute_author_affiliation_histogram,
compute_language_histogram,
compute_number_authors_histogram,
compute_source_histogram,
compute_source_type_histogram,
compute_affiliation_histogram,
compute_country_histogram... | NLeSC/litstudy | litstudy/plot.py | plot.py | py | 11,826 | python | en | code | 112 | github-code | 18 | [
{
"api_name": "pandas.DataFrame",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.gca",
"line_number": 79,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 79,
"usage_type": "name"
},
{
"api_name": "numpy.a... |
38029270093 | # import asyncio
# import aiomysql
# loop = asyncio.get_event_loop() #返回当前 OS 线程中正在运行的事件循环
# async def test_example():
# conn = await aiomysql.connect(
# host='127.0.0.1',
# port=3306,
# user='root',
# password='newpassword',
# db='demo',
# loop=loop)
# cur = aw... | leezhijun/python-blog | sqlpool.py | sqlpool.py | py | 1,986 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "asyncio.get_event_loop",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.MetaData",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Table",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "sqlalchem... |
37767761668 | from flask import Flask, escape, Response, request
app = Flask(__name__)
@app.route('/griffon/log', methods=['POST', 'GET'])
def logs():
print("{}".format(request.data))
return Response("Received logs successfully")
if __name__ == '__main__':
app.run(host="10.41.26.183", port=8080)
| sarabjit-saini/griffon-poc | provider/src/http_server.py | http_server.py | py | 293 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "flask.request.data",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "flask.Response",
"... |
2317473009 | import json
import boto3
from datetime import datetime
import pandas as pd
import os
import sys
from urllib.parse import unquote_plus
s3_client = boto3.client('s3')
def lambda_handler(event, context):
print("lambda function invoked")
for record in event['Records']:
bucket = record['s3... | kikiiiiiiiiiiiiiii/ETL-project | lambda_python_s3/lambda.py | lambda.py | py | 4,332 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "boto3.client",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "urllib.parse.unquote_plus",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"l... |
6226618670 | import os
import torchvision
from tensorboardX import SummaryWriter
class Saver():
def __init__(self, opts):
"""
Saver class for saving 2D model, images, and write losses to tensorboard
:param opts:
"""
self.model_dir = os.path.join(opts.result_dir, opts.name)
... | CherBass/ICAM | saver.py | saver.py | py | 2,173 | python | en | code | 52 | github-code | 18 | [
{
"api_name": "os.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 1... |
3687218247 | """ Unit tests for skycomponents
"""
import logging
import unittest
import astropy.units as u
import numpy
from astropy.coordinates import SkyCoord
from rascil.data_models.polarisation import PolarisationFrame
from rascil.processing_components.simulation import (
create_low_test_skycomponents_from_gleam,
)
from... | NLESC-quantum/rascil | tests/processing_components/test_skycomponent.py | test_skycomponent.py | py | 10,260 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "logging.WARNING",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "unittest.TestCase",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "rascil.... |
32940387369 | # coding=utf-8
import scipy.io as sio
from pylab import *
from PIL import Image
def code_Sort(code,k):
func = lambda x, y: x if y in x else x + [y]
codelist = reduce(func, [[], ] + code.tolist())
for i in range(code.shape[0]):
for j in range(k):
if code[i] == codelist[j]... | jadehh/-Impervious-Surface-Extraction-Algorithm-for-High-Resolution-Remote-Sensing-Image | fenge.py | fenge.py | py | 3,010 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "PIL.Image.open",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "PIL.Image.fromarray",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_nu... |
25637483910 | import asyncio
import json
from asyncio import AbstractEventLoop
from typing import AsyncIterator, Callable
import aioredis
import pytest
import pytest_asyncio
from aioredis import Redis
from elasticsearch import AsyncElasticsearch
from elasticsearch.helpers import async_bulk
from httpx import AsyncClient
from db imp... | lizatish/Async_API_sprint_2 | tests/functional/conftest.py | conftest.py | py | 4,589 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "tests.functional.config.get_settings",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "elasticsearch.AsyncElasticsearch",
"line_number": 40,
"usage_type": "name"
},
{
"a... |
37772878049 | # Author J'yrens Christenvie , Please acknowledge the author if you are using his code for your game
import pygame
class Ship:
"""A class to manage a ship behavior """
def __init__(self,tg_game):
"""Initialize the ship and set its starting position """
# Take the screen settings and ... | christenvie/Target_shoot_game | ship.py | ship.py | py | 1,728 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "pygame.image.load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 16,
"usage_type": "attribute"
}
] |
4162038285 | from sklearn.linear_model import ElasticNet
from sklearn.model_selection import train_test_split
from egeaML.egeaML import DataIngestion
from sklearn.pipeline import Pipeline
from sklearn.preprocessing import StandardScaler
raw_data = DataIngestion(
df='/content/drive/MyDrive/Machine Learning/Bocconi - Feb 2021/L... | andreagiussani/amlp-bocconi-2021 | miscellanea/elastic_net.py | elastic_net.py | py | 976 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "egeaML.egeaML.DataIngestion",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.StandardScaler",
"line_number": 22,
"usage_type... |
36271594435 | """
@file utils.py
@author Jianfei Guo, Shanghai AI Lab
@brief Utilities for (voxel)-grid-based neural network modules.
"""
import numpy as np
from enum import Enum
from typing import Union
from numbers import Number
import torch
import torch.nn.functional as F
def gridsample1d_by2d(input: torch.Tensor, grid: tor... | PJLab-ADG/nr3d_lib | models/grids/utils.py | utils.py | py | 7,897 | python | en | code | 122 | github-code | 18 | [
{
"api_name": "torch.Tensor",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "torch.stack",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "torch.nn.functional.grid_sample",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "torch.n... |
43084966387 | from django import forms
from .models import Loan
class LoanAddForm(forms.ModelForm):
class Meta:
model = Loan
fields = [
'loan_name',
'loan_start_date',
'loan_starting_principal',
'loan_principal',
'loan_last_action_date',
... | rtanubra/loan_database | mysite/loans/forms.py | forms.py | py | 485 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "models.Loan",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.forms.Form",... |
37335831228 | import numpy as np
from enum import IntEnum
import matplotlib.pyplot as plt
global_variable_counter = 0
class Operation(IntEnum):
S_ADD = 0
S_SUB = 1
S_MUL = 2
S_DIV = 3
M_ADD = 4
M_SUB = 5
M_MUL = 6
M_ELM = 7
M_ELD = 8
S_SQR = 9
M_ESQ = 10
M_RDS = 11
M_TNP = 12
... | AnthonyYao7/AnthonysAutodiff | ad.py | ad.py | py | 11,770 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "enum.IntEnum",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "numpy.ndarray",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "numpy.square",
"line_n... |
11070776141 | from typing import Tuple, List, Dict, Optional, Union
from pathlib import Path, PosixPath
import math
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from tqdm import tqdm
from scipy.signal import savgol_filter
def process_all_dlc_tracking_h5s_with_default_settings(input_directory_with_dlc_trac... | Defense-Circuits-Lab/Gait_Analysis | gait3d/gaitanalysis_with_top_cam.py | gaitanalysis_with_top_cam.py | py | 65,484 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "pathlib.Path",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "tqdm.tqdm",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": ... |
33522990263 | from PIL import Image
import os
from tqdm import tqdm
'''
由于部分的face_dataset的图片的格式是32位位深，但是在我的网络网络卷积中只有三层无法进行4层的卷积。
'''
def convert_to_24bit_depth(input_dir, output_dir):
# 确保输出目录存在
if not os.path.exists(output_dir):
os.makedirs(output_dir)
# 获取输入目录中的图片文件列表
image_files = [f for f in os.listdi... | Cans518/face-yolox | conver.py | conver.py | py | 1,175 | python | zh | code | 1 | github-code | 18 | [
{
"api_name": "os.path.exists",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number... |
71937973161 | import numpy as np
import onnxruntime
from tqdm import tqdm
import os
from PIL import Image
import argparse
import psutil
import gpizero
import telnetlib as tel
import time
#argument parser
parser = argparse.ArgumentParser(description='EE379K project - Deployment code')
parser.add_argument('--model', type... | jacobDeutsch10/EE379K-Project | MC1/delpoy_onnx.py | delpoy_onnx.py | py | 3,599 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "onnxruntime.InferenceSession",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "nump... |
73341412201 | # coding=utf-8
"""
@Author:lynn
example:
python3 terminal_predict.py \
--model_type bert \
--labels ./labels.txt \
--output_dir germeval \
--max_seq_length 128 \
When console displays 'Input chinese sentence:', then you input some sentences and get pos result.
More detail see ./example/how_to_us... | grallage/transformers-chinese-pos | terminal_predict.py | terminal_predict.py | py | 9,833 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "transformers.TF_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING.keys",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "transformers.TF_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "absl.flags.DEFINE_string",
... |
21106450604 | import unittest
import torch
import torch.nn as nn
import torch.nn.functional as F
# Ask lazy backend to use Pytorch's JIT as
# lazy backend's executor.
from torch._lazy.ts_backend import init as init_ts_backend
init_ts_backend()
# Handle ORT dependencies.
import onnxruntime as ort # noqa: E402
from onnxruntime.ca... | microsoft/onnxruntime | orttraining/orttraining/test/python/orttraining_test_lort.py | orttraining_test_lort.py | py | 4,026 | python | en | code | 9,700 | github-code | 18 | [
{
"api_name": "torch._lazy.ts_backend.init",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "onnxruntime.capi._pybind_state.register_ort_as_torch_jit_executor",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "onnxruntime.capi._pybind_state",
"line_number":... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.