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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
36780535651 | from typing import List, Union, Iterator, Tuple
from cell import Cell
class World:
NEIGHT = (
(-1, -1),
(-1, 0),
(-1, 1),
(0, -1),
(0, 1),
(1, -1),
(1, 0),
(1, 1)
)
def __init__(self, width, height):
self.w = width
self.h = ... | AzaubaevViktor/evo_life | world.py | world.py | py | 2,710 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cell.Cell",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "cell.Cell",
"line_number": 29,... |
71840538747 | from flask import Flask
from flask import render_template
from flask import Response, request, jsonify
app = Flask(__name__)
current_id = 4
sales = [
{
"id": 1,
"salesperson": "James D. Halpert",
"client": "Shake Shack",
"reams": 1000
},
{
"id": 2,
"salesperson": "Stanley Hudson",
"client": "Toast",
... | haoshuai999/User-Interface | cu-paper-infinity&ppc/app.py | app.py | py | 2,393 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "flask.request.... |
30354475241 | import setuptools
from setuptools import Command
try:
import numpy
from numpy.distutils.command import build, install_data, build_src
from numpy.distutils.core import setup
HAS_NUMPY = True
except ImportError:
HAS_NUMPY = False
from distutils.command import build, install_data
from distutil... | enthought/mayavi | setup.py | setup.py | py | 16,576 | python | en | code | 1,177 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_nu... |
26602476689 | import numpy as np
import pandas as pd
import datetime as dt
import sqlalchemy
from sqlalchemy.ext.automap import automap_base
from sqlalchemy.orm import Session
from sqlalchemy import create_engine, func, inspect
from flask import Flask, jsonify
app = Flask(__name__)
engine = create_engine("sqlite:///Resources/haw... | SofiaAS1/SQLalchemy-Challenge | app.py | app.py | py | 3,377 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.create_engine",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.ext.automap.automap_base",
"line_number": 15,
"usage_type": "call"
},
{
"api_name... |
28800553771 | import os
import pytest
import pathlib
import numpy as np
import pandas as pd
from math import isclose
from cytominer_eval.operations import mp_value
from cytominer_eval.utils.mpvalue_utils import (
calculate_mp_value,
calculate_mahalanobis,
)
# Load CRISPR dataset
example_file = "SQ00014610_normalized_feat... | cytomining/cytominer-eval | cytominer_eval/tests/test_operations/test_mp_value.py | test_mp_value.py | py | 3,230 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "pathlib.Path",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line... |
14235086016 | from http.client import HTTPSConnection
from tkinter import filedialog as fd
from tkinterdnd2 import *
from threading import *
from tkinter import *
from json import *
from sys import *
from tkinter import ttk
from time import sleep
import tkinter as tk
import pyimgur
import random
import sys
'''
GUIDES I USED
https... | vaperyy/ImageBot_for_Discord | image_bot.py | image_bot.py | py | 13,058 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tkinter.BooleanVar",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "tkinter.BooleanVar",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "tkinter.Button",
"line_number": 83,
"usage_type": "call"
},
{
"api_name": "tkinter.Button",... |
19200731938 | import argparse
from inference import Inference
from model import FashionModel
from train import Trainer
from data import TrainDataset
class ArgumentSelectError(Exception):
pass
def training():
train_dataset = TrainDataset(
image_dir=args.train_data_dir,
csv_path_train=f'data/dataset_csv/lis... | omerferhatt/deep-fashion-classification | main.py | main.py | py | 4,105 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "data.TrainDataset",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "model.FashionModel",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "train.Trainer",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "inference.Inferenc... |
14624971996 | #coding:utf-8
from math import e
import numpy as np
year=150
def func(x):
if x<0:
return e**(g*x)
else:
return 1
x_1=[-3/float(40000)*x**2+3/float(200)*x for x in range(1,year)]
x_2=[]
T=3/2*(year-50)
a=1/T**2
for x in range(1,year):
if(x<=T):
x_2.append(a*x**2)
... | liangzp/2018-American-Interdisciplinary-Contest-in-Modeling | Code/random_model.py | random_model.py | py | 1,910 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "math.e",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "numpy.random.normal"... |
5637517912 | from urllib.request import urlopen
from datetime import datetime
import json
from settings import my_lec_list, base_url
class InfoList(object):
def __init__(self):
self.json = self.get_api()
self.table = self.json["table"]
self.count = self.json["count"]
self.body = self.json["body... | pddg/learning | models.py | models.py | py | 2,174 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "urllib.request.urlopen",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "settings.base_url",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "settings.my_lec_l... |
72333132669 | """
@File : AdaBoost.py
@Time : 2020-05-26
@Author : BobTsang
@Software: PyCharm
@Email : bobtsang@bupt.edu.cn
"""
# 这次用的是乳腺癌数据集做的二分类任务，因为鸢尾花数据集太小，特征较少，对于提升树不太cover
# Minst:596x31
# time:62s
import pandas as pd
import numpy as np
from sklearn import datasets
import random
import time
# 手工实现打乱数据，不采用sklearn调... | BobTsang1995/StatisticalLearningMethod-python- | AdaBoost.py | AdaBoost.py | py | 12,463 | python | zh | code | 2 | github-code | 6 | [
{
"api_name": "random.seed",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "random.shuffle",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 106,
"usage_type": "call"
},
{
"api_name": "numpy.shape",
"line_numbe... |
20269902024 | import os.path
import math
import numpy
import json
import bz2
import platereader
from platereader.replicate import Replicate
from platereader.statusmessage import StatusMessage, Severity
from platereader.csvunicode import CsvFileUnicodeWriter, CsvFileUnicodeReader
from platereader.parser import tecan, bioscreen
clas... | platereader/gathode | platereader/plate.py | plate.py | py | 71,939 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "platereader.parser.modulenameToModule",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "platereader.parser",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "platereader.parser.getModulesOfNamespace",
"line_number": 19,
"usage_type":... |
19637644362 | import requests
import datetime
response = requests.get("https://blockchain.info/rawaddr/42e58ccd620fab780e46095f4b3f6987aa253219")
data = response.json()
first_tr_id = data["txs"][0]["hash"]
first_tr_time = data["txs"][0]["time"]
a = [1, 2, 3, 4]
for n in range(len(a)):
print(a[n])
| maciek1066/training | bitcoin_api.py | bitcoin_api.py | py | 294 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 4,
"usage_type": "call"
}
] |
30614657486 | from unittest import main
from re import compile
from ir_datasets.formats import ToucheQuery, TrecQrel, ToucheTitleQuery
from ir_datasets.formats.touche import ToucheQualityQrel
from test.integration.base import DatasetIntegrationTest
class TestTouche(DatasetIntegrationTest):
# noinspection PyTypeChecker
de... | Heyjuke58/ir_datasets | test/integration/touche.py | touche.py | py | 9,700 | python | en | code | null | github-code | 6 | [
{
"api_name": "test.integration.base.DatasetIntegrationTest",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "ir_datasets.formats.ToucheQuery",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 20,
"usage_type": "call"
},
{... |
9272119407 | import os
import numpy as np
import spacy
import re
import json
import pyttsx3 #replace it to librosa
import os
import librosa
import numpy as np
from fastdtw import fastdtw
from gtts import gTTS
from scipy.spatial.distance import euclidean
from fastdtw import fastdtw
import shutil
import config
def create_folder_if_... | RamSankarTheDeveloper/TeenyTinyTitleTrove | utils.py | utils.py | py | 10,032 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.exists",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "shutil.move",
"line_numbe... |
16898559994 | #!/usr/bin/env python3
import itertools
def print_header(x, y, z = None):
print("join_digits(", seq2digit(x), ", ", seq2some(y), ", ", seq2digit(z), ") ->", sep="")
def produce(seq):
while seq:
if len(seq) == 4:
yield seq2node(seq[:2])
yield seq2node(seq[2:])
brea... | platbox/nanometer | py/ftree_generate.py | ftree_generate.py | py | 1,194 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "itertools.chain",
"line_number": 24,
"usage_type": "call"
}
] |
30814462620 | """
Script Description
- train NADA model
Usage
- $ python train_nada.py --config_path [config_path] --name [exp_name] --suppress
- $ cat [config_path] | python train_nada.py --pipe --name [exp_name] --suppress
Author
- Minsu Kim
- Dongha Kim
History
- 230419 : MINSU , init
- adaptation ... | studio-YAIVERSE/studio-YAIVERSE | train_nada.py | train_nada.py | py | 13,226 | python | en | code | 20 | github-code | 6 | [
{
"api_name": "model_engine.find_get3d",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 50,
"usage_type": "attribute"
},
{
"api_name": "logging.... |
32005344445 | import torch.nn as nn
from transformers import BertModel
from services.text_similarity.settings import Settings
class BERTClassifier(nn.Module):
def __init__(self, freeze_params=False):
super(BERTClassifier, self).__init__()
self.settings = Settings
self.bert = BertModel.from_pretrained(s... | R-aryan/Text-Similarity-Using-BERT | backend/services/text_similarity/application/ai/model.py | model.py | py | 1,945 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "services.text_similarity.settings.Settings",
"line_number": 10,
"usage_type": "name"
},
{
"api_name":... |
32397358077 | import os
import random
import numpy as np
import torch
from scipy import ndimage as ndi
from torch.nn import functional as F
from torch.utils.data import Dataset
from my_utils import normalize
class UNetDataset(Dataset):
def __init__(self, data_dir, shape, train, transform):
self.shape = ... | alienzyj/PPos | my_dataset.py | my_dataset.py | py | 10,080 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"... |
8560654831 | """Bad style, but I don't know better where to put this."""
import logging
import shelve
from functools import wraps
logger = logging.getLogger(__name__)
def shelve_memoize(filename):
"""On-disk cache decorator using shelve."""
def decorator_shelve_memoize(func):
@wraps(func)
def wrapper_shel... | leogott/document-clustering | utils.py | utils.py | py | 755 | python | en | code | null | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "shelve.open",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "functools.wraps",
"line_number": 12,
"usage_type": "call"
}
] |
42786347897 | import os
import math
import glob
import time
import random
import torch
from PIL import Image
from torch.utils import data
from torchvision.transforms import RandomCrop
import numpy as np
import core.io as io
import core.clip_utils as cu
import multiprocessing as mp
class CachedAVSource(data.Dataset):
def __ini... | fuankarion/active-speakers-context | core/dataset.py | dataset.py | py | 16,534 | python | en | code | 52 | github-code | 6 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "torch.utils.data",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "random.seed",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.rand... |
24957977468 | #!/usr/bin/python3
'''Post the compositions in a given directory filtered or not by a basename
now one ehr per composition
'''
import json
import logging
import requests
from url_normalize import url_normalize
import sys
import argparse
import os
from typing import Any,Callable
import re
from json_tools import diff
... | crs4/TO_OPENEHR_CONVERTER | COMPOSITIONS_UPLOADER/CompositionUploader.py | CompositionUploader.py | py | 11,566 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.dumps",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "json_tools.diff",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "collections.abc",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "typing.Any",
"lin... |
40814128 | """
Plot the results.
"""
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import datasets
# Set a nice seaborn style for matplotlib
sns.set_theme()
#%%
# Load results from csv
df = pd.read_csv("jeopardy_results.csv", index_col="idx")
#%%
# Load the dataset from the Hugging Face Hub
datas... | BlackHC/player_of_jeopardy | analysis.py | analysis.py | py | 6,596 | python | en | code | 10 | github-code | 6 | [
{
"api_name": "seaborn.set_theme",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datasets.load_dataset",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pandas.DataFr... |
73008025149 | # Lesson 26 my code
from pyspark.sql import SparkSession #import spark sql with session and row
from pyspark.sql import Row #both of these thigns we use to itneract with SparkSQL and dataFrames
spark = SparkSession.builder.appName("SparkSQL").getOrCreate() #the get or create again, creating a new spark session or conn... | CenzOh/Python_Spark | MyCode/sparkSql.py | sparkSql.py | py | 2,183 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pyspark.sql.SparkSession.builder.appName",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.SparkSession",
"line_number": 5,
"usage_type": "... |
24254182121 | import time
import requester
import json
import config
location_id_data = {}
exclude_ids = config.settings["loc_ids_to_exclude"] # Gananoque & Tay Valley Old People One & Prescott
def parseLocationsToDict():
# Locations.json is extracted from the bottom of the pomelo covid-vaccination "locations" html page whe... | TASelwyn/PomeloScraper | main.py | main.py | py | 4,417 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "config.settings",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "config.resetLastAvailableDate",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "requeste... |
73369850107 | #!/usr/bin/env python3
import rospy
import socket as s
import numpy as np
from cv_bridge import CvBridge
import cv2
import pickle
import struct
import time
# import ROS messages
from sensor_msgs.msg import Image
from sensor_msgs.msg import CameraInfo
from std_msgs.msg import Header
from utils import Msg
import con... | yv1es/MRMapper | core/ros_node/mr-mapper/src/camera_publisher.py | camera_publisher.py | py | 3,667 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "socket.socket",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_STREAM",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "socket.bind... |
16542834327 | import sys
from nuitka import Options
from nuitka.ModuleRegistry import (
getDoneModules,
getUncompiledModules,
getUncompiledTechnicalModules,
)
from nuitka.plugins.Plugins import Plugins
from nuitka.PythonVersions import python_version
from nuitka.Tracing import inclusion_logger
from nuitka.utils.CStrings... | Nuitka/Nuitka | nuitka/code_generation/LoaderCodes.py | LoaderCodes.py | py | 5,236 | python | en | code | 10,019 | github-code | 6 | [
{
"api_name": "nuitka.utils.CStrings.encodePythonStringToC",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "nuitka.plugins.Plugins.Plugins.encodeDataComposerName",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "nuitka.plugins.Plugins.Plugins",
"line_numb... |
8747012693 | # -*- coding: utf-8 -*-
"""
Created on Sat Aug 24 23:16:21 2019
@author: ADMIN
"""
import pandas as pd
import numpy as np
import AllFunctions as af
#import dateutil
import math
item_data=pd.read_csv("item_data.csv")
log_data=pd.read_csv("view_log.csv",parse_dates=['server_time'],infer_datetime_format=True)
train_d... | kinjaldand/MLProjects | AdClickPredictWNSHack/Work2.py | Work2.py | py | 9,745 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
... |
72833443067 | # PET DATA PROCESSING
import numpy as np
import matplotlib.pyplot as plt
from pathlib import Path
num_examples = 1386
num_examples2 = 1386
res = 64
def folder_to_array(file_name, cat_name, X, idx1, numf, numt, y, label):
idx_normal = range(idx1, idx1+numf)
idx_flip = range(idx1+numf, idx1+2*num... | alexgilbert747/thesis | pets_data2.py | pets_data2.py | py | 1,969 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pathlib.Path",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.imread",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot"... |
18920197222 | from __future__ import annotations
import sys
from typing import TYPE_CHECKING
from ansiblelint.rules import AnsibleLintRule
if TYPE_CHECKING:
from ansiblelint.file_utils import Lintable
from ansiblelint.utils import Task
def _changed_in_when(item: str) -> bool:
if not isinstance(item, str):
re... | ansible/ansible-lint | src/ansiblelint/rules/no_handler.py | no_handler.py | py | 2,753 | python | en | code | 3,198 | github-code | 6 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "ansiblelint.rules.AnsibleLintRule",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "ansiblelint.utils.Task",
"line_number": 48,
"usage_type": "name"
},
{
"api_... |
6368283311 | import datacube
import sys
import xarray as xr
import numpy as np
import geopandas as gpd
from datacube.virtual import construct_from_yaml
from datacube.storage.masking import mask_invalid_data
from osgeo import gdal, osr
site = sys.argv[1]
grid = gpd.read_file('/scratch/a.klh5/mangrove_data/shapefiles/{}.shp'.format... | klh5/wm_generator | gen_water_mask.py | gen_water_mask.py | py | 2,809 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "geopandas.read_file",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "osgeo.osr.SpatialReference",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "osgeo.os... |
28970147437 | import typing as t
import collections
import flask_restx
import flask_restx.fields as frf
import marshmallow.fields as mf
from marshmallow_pynamodb import ModelSchema
from model.base_model import Model
from common.util import create_table
class Serializer(ModelSchema):
_api_model = None
def __init__(self, ... | wizzdev-pl/iot-starter | web_server/server/core/serializer.py | serializer.py | py | 3,081 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "marshmallow_pynamodb.ModelSchema",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "common.util.create_table",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 42,
"usage_type": "call"
},
{
... |
7169499809 | from flask import Blueprint, request, jsonify, abort
from modules.logger import logging
from modules.config import config
import modules.database as Database
import modules.models as Models
import modules.ldap as Ldap
import modules.scanner as Scanner
from modules.tools import get_token,requires_auth,check_auth,calc_... | aDrongo/ldap-device-surveyor | backend/modules/views.py | views.py | py | 4,004 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Blueprint",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "flask.request... |
26113994325 | __authors__ = ["T. Vincent"]
__license__ = "MIT"
__date__ = "16/05/2018"
import logging
import sys
import numpy
import pytest
from silx.utils.testutils import ParametricTestCase
from silx.math import colormap
_logger = logging.getLogger(__name__)
class TestNormalization(ParametricTestCase):
"""Test silx.mat... | silx-kit/silx | src/silx/math/test/test_colormap.py | test_colormap.py | py | 10,291 | python | en | code | 106 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "silx.utils.testutils.ParametricTestCase",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "numpy.arange",
"line_number": 24,
"usage_type": "call"
},
{
"api_name":... |
71150367547 | import numpy as np
import pandas as pd
import scipy
from sklearn.linear_model import LinearRegression as linreg
from sklearn.linear_model import LogisticRegression as logreg
from sklearn.cross_validation import KFold
from sklearn.cross_validation import *
from sklearn import cross_validation
titanic=pd.read_csv("trai... | leminhtr/kaggle | Titanic/main_linreg-logreg.py | main_linreg-logreg.py | py | 4,162 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.value_counts",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.LinearRegression",
"line_number": 41,
"usage_type": "call"
},
{
"api_nam... |
20086331044 | """
Contains classes Quandle, Biquandle, Identity_Quandle,
Alexander_Quandle, and Singquandle.
FIXME:
- Nothing for now.
TODO:
- If X is a rack with operation a*b, then it is a birack if we
define a**b as the identity a**b == a. Thus biquandle matrix2
should be optional.
- Does the above apply... | RafaelMri/Pyknots | modules/quandles.py | quandles.py | py | 13,410 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pyknots.modules.magmas.Magma",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "os.path.dirname",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "os.path.rea... |
648181227 | import numpy as np
import torch
from affogato.affinities import compute_affinities
from torchvision.utils import make_grid
from inferno.extensions.criteria import SorensenDiceLoss
class ConcatDataset(torch.utils.data.Dataset):
def __init__(self, *datasets):
self.datasets = datasets
self.lens = [l... | constantinpape/affogato | src/python/module/affogato/interactive/napari/train_utils.py | train_utils.py | py | 5,323 | python | en | code | 9 | github-code | 6 | [
{
"api_name": "torch.utils",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "numpy.cumsum",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.roll",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_numbe... |
26298956035 | import argparse
from dateutil import tz
from datetime import datetime
from spotipy import Spotify
import spotipy.util
from models import Play, Track, Album, Artist, PostgreSQLConnection
import settings
def set_timezone_to_datetime(datetime_to_set, timezone):
return datetime_to_set.replace(tzinfo=tz.gettz(timez... | mymindwentblvnk/hoergewohnheiten | extract/main.py | main.py | py | 7,345 | python | en | code | 16 | github-code | 6 | [
{
"api_name": "dateutil.tz.gettz",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "dateutil.tz",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "datetime.dat... |
17333008494 | import collections
class Rectangle():
def __init__(self, w, h, placed=None, free_wh=None):
self.wh = w, h
self.placed = placed or []
self.free_wh = free_wh or (0,0)
@property
def w(self):
return self.wh[0]
@property
def h(self):
return self.wh[... | yad439/pallet-packing | concat_baseline/concat_baseline.py | concat_baseline.py | py | 11,602 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.Counter",
"line_number": 154,
"usage_type": "call"
}
] |
19329693229 | from google_auth_oauthlib.flow import InstalledAppFlow
from googleapiclient.discovery import build
from google.oauth2.credentials import Credentials
from google.auth.transport.requests import Request
import os
# All scopes together
ALL_SCOPES = [
'https://www.googleapis.com/auth/contacts.readonly',
'https://ww... | clarkdever/gcal-gcontacts-sync | google_api_utils.py | google_api_utils.py | py | 2,803 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.exists",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "google.oauth2.credentials.Credentials.from_authorized_user_file",
"line_number": 21,
"usage_type": "call"
}... |
19969055167 | """
This helps in finding the means and standards of the images to normalize before training.
To run
python3 calculate_means_std.py -i path/to/image/folder/
"""
import argparse
import subprocess
import yaml
import os
import sys
sys.path.remove("/opt/ros/kinetic/lib/python2.7/dist-packages")
import cv2
import nump... | vijaysamula/Building_floor_counter | calculate_means_stds.py | calculate_means_stds.py | py | 2,438 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.path.remove",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path.join",
... |
43367818416 | # Importancia de la característica de permutación (PFI) para la clasificación de latidos utilizando un perceptrón multicapa (MLP)
#
#
# - Código 'PFI.py'
# - Trabajo Fin de Máster.
# - Néstor Bolaños Bolaños. (nestorbolanos@correo.ugr.es)
import warnings
warnings.filterwarnings("ignore")
import numpy as np
imp... | Nestructor/Codigo_TFM_Aplicacion-del-Aprendizaje-Profundo-en-la-toma-de-Decisiones-Clinicas-Informadas | PFI.py | PFI.py | py | 6,333 | python | es | code | 0 | github-code | 6 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "seaborn.set",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.empty",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.empty",
"lin... |
33708620212 | import os
from google.cloud import storage
class GoogleStorageLoader():
def __init__(self) -> None:
"""Start Google Cloud clint - could be used for uploading to storage
"""
os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = "../content/key-bucket.json"
self.client = storage.Client()
... | IhorLuk/reddit_api_data_ingestion | src/storage.py | storage.py | py | 724 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "google.cloud.storage.Client",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "google.cloud.storage",
"line_number": 9,
"usage_type": "name"
}
] |
13454184469 | """
words list가 링크만 있고, 글자 데이터가 없음. 글자 리스트를 받아오기 위한 파일
"""
from selenium import webdriver
from bs4 import BeautifulSoup
import pandas as pd
class Get_chndic_data:
def __init__(self, link):
self.link = link
self.get_data = []
def beautiful_soup(self, link):
"""
Beautiful Soup... | i-hs/chn_words_crawling | make_database/words_list.py | words_list.py | py | 2,691 | python | ko | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 31,
"usage_type": "call"
},
{
"api... |
42072257921 | #!/usr/bin/env python
# coding: utf-8
# In[36]:
import requests
from bs4 import BeautifulSoup
import pandas
list1=[]
for page in range(0,30,10):
r = requests.get("http://www.pyclass.com/real-estate/rock-springs-wy/LCWYROCKSPRINGS/t=0&s="+str(page)+".html", headers={'User-agent': 'Mozilla/5.0 (X11; Ubuntu;... | shivangijain827/python-projects | web - scraper/main.py | main.py | py | 1,883 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 63,
"usage_type": "call"
}
] |
3477283820 | import logging
import os
import typing
from collections import defaultdict
from typing import Dict
import dpath.util
from voluptuous import Any
from dvc.exceptions import DvcException
from dvc.utils.serialize import ParseError, load_path
from dvc_data.hashfile.hash_info import HashInfo
from .base import Dependency
... | gshanko125298/Prompt-Engineering-In-context-learning-with-GPT-3-and-LLMs | myenve/Lib/site-packages/dvc/dependency/param.py | param.py | py | 4,814 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "dvc.exceptions.DvcException",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "dvc.exceptions.DvcException",
"line_number": 23,
"usage_type": "name"
},
{
"api_nam... |
8585416211 | import torch
import torch.nn as nn
from torch import cat, exp
import torch.nn.functional as F
from torch.nn.functional import pad
from torch.nn.modules.batchnorm import _BatchNorm
class my_AFF(nn.Module):
'''
Point-wise Convolution based Attention module (PWAtt)
'''
def __init__(self, channels=64, r=... | Al-Dailami/DTSC-CAFF | dtsc_caff_model.py | dtsc_caff_model.py | py | 21,192 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_... |
24455754580 | # -*- coding: utf-8 -*-
"""
@author: Fatih Kemal Terzi
"""
import cv2
import numpy as np
# Image reading
img = cv2.imread('pools.png')
count=0
# Image converting to HSV color space
hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
# Adjusting range of blue color for detecting pools
lower_blue = np.array([8... | FatihKemalTerzi/Image-Processing | Midterm3.py | Midterm3.py | py | 1,105 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.imread",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2HSV",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"lin... |
75131970108 | import requests
headers = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/79.0.3945.130 Safari/537.36"}
"传入参数的形式"
params = {"wd":"haha"}
"最后面的问号可加可不加，不加的话，程序会自动帮你加上"
url_temp = "https://www.baidu.com/?"
"注意用requests调用post和get时的函数"
r = requests.get(url_temp, ... | hahahei957/NewProject_Opencv2 | venv_2/爬虫/01_HelloWorld.py | 01_HelloWorld.py | py | 874 | python | zh | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 22,
"usage_type": "call"
}
] |
41202734206 | import tcod
import random
import copy
import constants as const
import entity
import render
import numpy as np
import random_loot as rloot
class Room:
"""
A room! Wow.
"""
def __init__(self, x, y, w, h):
self.x = x # upper left point
self.y = y # upper left point
self.w = w
... | cpiod/1rl | game_map.py | game_map.py | py | 16,741 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "tcod.map.Map",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "tcod.map",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "numpy.arange",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_num... |
9512772188 | import sys
import pandas as pd
import numpy as np
import xml.dom.minidom
#from exercise 3
def output_gpx(points, output_filename):
"""
Output a GPX file with latitude and longitude from the points DataFrame.
"""
def append_trkpt(pt, trkseg, doc):
trkpt = doc.createElement('trkpt')
trkpt... | tomchiu19/tourPlanner | code/05-generate-gpx.py | 05-generate-gpx.py | py | 2,464 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "xml.dom.minidom.dom.minidom.getDOMImplementation",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "xml.dom.minidom.dom",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "xml.dom.minidom",
"line_number": 17,
"usage_type": "name"
},
... |
41054313506 |
# coding: utf-8
# # Heat Diffusion in Soils
#
# This Jupyter Notebook gives an example how to implement a 1D heat diffusion model in Python.
#
# First we need to import the packages which we will be using:
#
# In[1]:
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
impo... | solomelittle/EL-Individual-Assignment | 03_ScriptCH_WieringermeerBoundary.py | 03_ScriptCH_WieringermeerBoundary.py | py | 7,445 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "seaborn.set",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.shape",
"line_number... |
26470959901 | """ Problem 71: Ordered Fractions
https://projecteuler.net/problem=71
Goal: By listing the set of reduced proper fractions for d <= N in ascending
order of size, find the numerator and denominator of the fraction immediately to
the left of n/d.
Constraints: 1 <= n < d <= 1e9, gcd(n, d) == 1, d < N <= 1e15
Reduced P... | bog-walk/project-euler-python | solution/batch7/problem71.py | problem71.py | py | 7,025 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fractions.Fraction",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "fractions.Fraction",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "fractions.Fraction",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "fractions.Fr... |
3739410797 | import requests
from bs4 import BeautifulSoup
import re
def get_vote_links(current_page):
"""Finds the vote page links on the main folktingspage.
Args:
main_page_soup (_type_): Takes in the main page with all the vote subpages as a soap object
Returns:
_type_: Returns a list of soap Obje... | jonahank/Vote-Prediction-Model | utils/scraper_functions.py | scraper_functions.py | py | 4,617 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_numb... |
1708447421 | from __future__ import print_function
import numpy as np
import matplotlib.pyplot as plt
import ball_endmill
from utility import mm_to_inch
from utility import plot_circle
def plot_spheremill_toolpos(params):
# Extract parameters
diam_tool = params['diam_tool']
diam_sphere = params['diam_sphere']
... | willdickson/sphere_mill_gcode | sphere_mill_gcode/ball_endmill_viz.py | ball_endmill_viz.py | py | 2,135 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "utility.plot_circle",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "utility.plot_circle",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "matplo... |
10933119158 | import os
import cv2 # commutator vision
import numpy as np
import matplotlib.pyplot as plt
import tensorflow as tf
mnist = tf.keras.datasets.mnist # The hand number nad what it is
(x_train, y_train), (x_test, y_test) = mnist.load_data() # split to training data and test data || x is the pixle data y is what Number... | Zippy-boy/HandDigets | main.py | main.py | py | 1,658 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tensorflow.keras",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras.utils.normalize",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_n... |
38466019670 | __author__ = 'christiaanleysen'
import features.featureMaker as fm
from sklearn.metrics import mean_absolute_error
import matplotlib.pyplot as plt
import numpy as np
from sklearn.linear_model import LinearRegression
from sklearn import preprocessing
'''
This file is used to calculate the linear regression
'''
def pre... | chrike-platinum/Thesis-Gaussian-process-regression-clustering-and-prediction-of-energy-consumption | Methods/LinRegPrediction.py | LinRegPrediction.py | py | 1,353 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "numpy.asarray",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.scale",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "numpy... |
27267969236 | from flask import Flask, render_template
from shp_display import *
app = Flask(__name__)
def script():
return ['hades2']
def get_table(db):
db = db
script = "<table>"
# Header Generator
code = "<tr>"
for s in db:
if str(s) != "MULTIPOLYGON" and str(s) != 'geometry':
cod... | nitish8090/Watershed_Modules_Py3 | flask_app/app.py | app.py | py | 1,373 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 49,
"usage_type": "call"
}
] |
74099804029 | import os
import os.path as osp
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
import pandas as pd
import argparse
from dataset import collate_fn, MergedMatchingDataset
from torch.utils.data import DataLoader
from EmbedModel import EmbedModel
from GCN import gcn
from logger import... | ChenRunjin/GNEM | test.py | test.py | py | 6,754 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "numpy.asarray",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": ... |
35037176201 | import cv2
import numpy as np
from analyzers.analyseContour import AnalyseContour
from analyzers.contour import Contour
class AnalyseSafran(AnalyseContour):
"""
Class qui mesure la taille du safran qui sort de l'eau.
Attributs:
x1RefPoint (int): coordonnée x du premier point de référence corresp... | Torystan/analyse-images | analyzers/analyseSafran.py | analyseSafran.py | py | 4,231 | python | fr | code | 0 | github-code | 6 | [
{
"api_name": "analyzers.analyseContour.AnalyseContour",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "cv2.cvtColor",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_n... |
73727669948 | import torch
def get_device(model=None):
"""Returns two-tuple containing a PyTorch device (CPU or GPU(s)), and number of available GPUs.
Returns a two-tuple containing a PyTorch device (CPU or GPU(s)) and number of available CUDA
devices. If `model` is not None, and a CUDA device is available, the model... | bowang-lab/Transformer-GCN-QA | src/utils/model_utils.py | model_utils.py | py | 2,040 | python | en | code | 15 | github-code | 6 | [
{
"api_name": "torch.cuda.is_available",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "torch.device",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.cuda.devic... |
73675801466 | import os, sys
proj_path = "/home/webuser/webapps/tigaserver/"
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "tigaserver_project.settings")
sys.path.append(proj_path)
os.chdir(proj_path + "util_scripts/")
from django.core.wsgi import get_wsgi_application
application = get_wsgi_application()
from django.db.model... | Mosquito-Alert/mosquito_alert | util_scripts/check_in_progress_reports.py | check_in_progress_reports.py | py | 1,276 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "os.environ.setdefault",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path",
"li... |
1601092211 | __author__ = "Meet Dave"
__version__ = "1.0"
__maintainer__ = "Meet Dave"
__email__ = "meetkirankum@umass.edu"
# Load libraries
import matplotlib.pyplot as plt
import torch
import cv2
import numpy as np
from torchvision import models
from torchvision import transforms
from make_video import make_video
# Load pret... | meetdave06/random-cv-tasks | test1/test1.py | test1.py | py | 2,455 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torchvision.models.segmentation.deeplabv3_resnet101",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torchvision.models.segmentation",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "torchvision.models",
"line_number": 20,
"usage_t... |
71904076349 |
from pydrive.auth import GoogleAuth
from pydrive.drive import GoogleDrive
gauth = GoogleAuth()
gauth.LoadCredentialsFile("mycreds.txt")
if gauth.credentials is None:
gauth.LocalWebserverAuth()
elif gauth.access_token_expired:
gauth.Refresh()
else:
gauth.Authorize()
gauth.SaveCredentialsFile("mycreds.txt")
d... | gmagannaDevelop/GlcJournal | pydrive/automated_access.py | automated_access.py | py | 568 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pydrive.auth.GoogleAuth",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pydrive.drive.GoogleDrive",
"line_number": 18,
"usage_type": "call"
}
] |
39380382951 | import datetime
import jpholiday
from django import template
register = template.Library() # Djangoのテンプレートタグライブラリ
# カスタムフィルタとして登録する
@register.filter
def get_dict_value(dictionary, key):
return dictionary.get(key)
@register.filter
def append_string(dest, src):
return dest + src
@register.filter
def get_day_... | manakamu/docker | django/Docker-Django/django_project/pole/templatetags/pole_tags.py | pole_tags.py | py | 1,141 | python | ja | code | 0 | github-code | 6 | [
{
"api_name": "django.template.Library",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "datetime.date",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "jpholiday.is_holi... |
37964221731 | import sys
import os
import random
from PIL import Image
'''
Simple image carver. Right now it will assemble any and all JPEGS found including partial fragmented files. It does not find the rest of the file.
You must have pillow installed. You can do that by `pip install pillow`.
YOU MUST HAVE PYTHON 3 NOT 2! THE Pi... | steviekong/Jpeg_carver | carver.py | carver.py | py | 3,434 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.stat",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 63,... |
41254027126 | from copy import copy, deepcopy
from itertools import izip
from burrahobbit.util import all
SENTINEL = object()
SHIFT = 5
BMAP = (1 << SHIFT) - 1
BRANCH = 2 ** SHIFT
MAXBITMAPDISPATCH = 16
def relevant(hsh, shift):
""" Return the relevant part of the hsh on the level shift. """
return hsh >> shift & BMAP
... | fmayer/burrahobbit | burrahobbit/_tree.py | _tree.py | py | 17,423 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "burrahobbit.util.all",
"line_number": 99,
"usage_type": "call"
},
{
"api_name": "itertools.izip",
"line_number": 99,
"usage_type": "call"
},
{
"api_name": "itertools.izip",
"line_number": 102,
"usage_type": "call"
},
{
"api_name": "copy.copy",
"... |
39463837440 | # Standard library imports
import serial
import time
import sys
import zerorpc
import datetime
# Application library imports
from MySQLhandler import *
import Utility
SCRIPT_NAME = "RFIDhandler"
TIME_BEFORE_ACTIVATION = 60 * 5
print("Initialize serial connection with Arduino")
try:
s = serial.Serial('/dev/ttyAC... | jeremyalbrecht/Alarm-RPI | RFIDhandler.py | RFIDhandler.py | py | 2,490 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "serial.Serial",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "Utility.launch_fatal_process_alert",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sys.exit"... |
38049723382 | import sys
import os
import yaml
import json
CUSTOM_WORD_LIST_FILENAME = '.wordlist.txt'
def find_wordlist_files(path):
wordlist_paths = []
for root, dirs, files in os.walk(path):
for file in files:
if file.endswith(CUSTOM_WORD_LIST_FILENAME):
wordlist_paths.append(os.path.... | actions-marketplace-validations/jordanbean-msft_wth-spell-check-action | generate-spellcheck.py | generate-spellcheck.py | py | 1,153 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.walk",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 17,
... |
29059896663 | import imageio
import torch
import torch.nn.functional as F
import numpy as np
import os, argparse
os.environ["CUDA_VISIBLE_DEVICES"] = "0"
from net.bgnet import Net
from utils.tdataloader import test_dataset
parser = argparse.ArgumentParser()
parser.add_argument('--testsize', type=int, default=416, help='testing size... | thograce/BGNet | etest.py | etest.py | py | 1,718 | python | en | code | 57 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "net.bgnet.Net",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.load",
... |
21141233312 | import datetime
import json
import os
import time
import pandas as pd
import requests
from mystockdata import config, db
from mystockdata.db import DatetimeIndexMixin, PrefixedDfDb
from mystockdata.exceptions import HistoryDataError
class ShSeDb(DatetimeIndexMixin, PrefixedDfDb):
prefix = 'sh_se_'
class CybSe... | onecans/my | mystockdata/mystockdata/se.py | se.py | py | 9,831 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "mystockdata.db.DatetimeIndexMixin",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "mystockdata.db.PrefixedDfDb",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "mystockdata.db.DatetimeIndexMixin",
"line_number": 18,
"usage_type": "name"... |
2088974749 | """@namespace IMP.pmi.restraints.proteomics
Restraints for handling various kinds of proteomics data.
"""
from __future__ import print_function
import IMP
import IMP.core
import IMP.algebra
import IMP.atom
import IMP.container
import IMP.pmi
import IMP.pmi.tools
import IMP.pmi.output
import numpy
import math
import sy... | salilab/pmi | pyext/src/restraints/proteomics.py | proteomics.py | py | 23,746 | python | en | code | 12 | github-code | 6 | [
{
"api_name": "IMP.atom.create_connectivity_restraint",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "IMP.atom",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "IMP.RestraintSet",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": ... |
3962586718 | import sys
import os
import random
import matplotlib.pyplot as plt
from typing import List
BASE_FILENAME="develop"
OUTPUT_TYPE="png"
def create_pie_chart(keywords: List[str], base_filename: str, output_type: str):
data = []
explode = []
biggest_value = 0
biggest_iterator = 0
for i, _ in enumerate... | neilschark/bullshitgraphs | bullshitgraphs/bullshitgraphs.py | bullshitgraphs.py | py | 1,675 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "random.randint",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "matplotlib.pypl... |
42440314481 | import plotly.express as px
import plotly.graph_objs as go
import pandas as pd
from sklearn.decomposition import PCA
import numpy as np
#****************** Récupération des données CSV ************************#
df = pd.read_csv("https://simplonline-v3-prod.s3.eu-west-3.amazonaws.com/media/file/csv/be67fa74-2c34-419... | AbdiNi/Plotly-Dash | Dash_Plotly/My_dataset.py | My_dataset.py | py | 4,007 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "plotly.express.scatter",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "plotly.express",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "plotly.graph_ob... |
2053821942 | from config import dogs_and_cats_config as config
from pyimagesearch.preprocessing import ImageToArrayPreprocessor, MeanPreprocessor, CropPreprocessor
from pyimagesearch.io import HDF5DatasetGenerator
from keras.models import load_model
import progressbar
import json
import numpy as np
import cv2
import argparse
import... | lykhahaha/Mine | PractitionerBundle/chapter10-dogs_vs_cats/crop_accuracy_public_test.py | crop_accuracy_public_test.py | py | 1,859 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "config.dogs_and_cats_config.DATASET_MEAN",
"line_number": 18,
"usage_type": "attribute"
},
{
"... |
962892446 | from tkinter import *
from tkinter.messagebox import showinfo
import pandas as pd
import numpy as np
import sklearn as sk
from sklearn.linear_model import LinearRegression
import matplotlib.pyplot as plt
# function call
def cal():
data = pd.read_csv("2a.csv")
if (var1.get()=='123'):
showinf... | Santonu-Naskar/Rainfall-Prediction | rainfall/main/main1.py | main1.py | py | 3,959 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tkinter.messagebox.showinfo",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "tkinter.... |
30950837477 | def D0(fp):
Dt = 1
taur = 1./(3*Dt)
return fp**2*taur/2.
def rms(fp,ts):
Dt = 1
taur = 1./(3*Dt)
d = 2
tts = ts*1e-5
return 4*Dt*tts+fp**2*taur**2/(d*(d-1))*(2*d*tts/taur+np.exp(-2*d*tts/taur)-1)
def swim(fp,rho):
Dt = 1
taur = 1./(3*Dt)
return rho*fp*fp*taur/2.0... | samueljmcameron/ABPs_coarse_graining | experiments/2020_03_31/no_interactions_pressure/single_pressure.py | single_pressure.py | py | 1,818 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_nu... |
73279162747 | import numpy as np
import matplotlib.pyplot as plt
# system variables
fs = 100e3
f = 1e3
phi = np.pi/4
N = 4*fs/f
n_var = 0.01
# create some empty vectors to fill
x = np.zeros(N, dtype=complex)
n_a = np.zeros(N, dtype=complex)
e = np.zeros(N)
w = np.zeros(N)
y = np.zeros(N, dtype=complex)
y_ = np.zero... | yrrapt/ada-comms | sinusoid_estimate_noise.py | sinusoid_estimate_noise.py | py | 1,012 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.pi",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number":... |
30192351629 | import numpy as np
import matplotlib.pyplot as plt
from sklearn.metrics import accuracy_score
from sklearn.model_selection import train_test_split
from sklearn.datasets import load_iris
iris = load_iris()
X = iris.data
y = iris.target
def sigmoid(inX):# 定义sigmoid函数
return 1.0/(1+np.exp(-inX))
def std_da... | TJPU-ML/Homework-for-the-fall-semester-of-2018 | iris classification/王熙煚/lris.py | lris.py | py | 2,416 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sklearn.datasets.load_iris",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"lin... |
12242514248 | #!/usr/bin/env python
from rootpy import ROOT
from rootpy.io import File
from rootpy.tree import Tree
from collections import deque
def find_maintenance(filename):
aux_file = File(filename, 'read')
aux_tree = aux_file.get('t_hk_obox')
maintenance_start = False
maintenance_list = []
gps_time_list =... | ZhenghengLi/POLAR_DATA | Preprocessing/script/split_time.py | split_time.py | py | 2,130 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "rootpy.io.File",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "rootpy.io.File",
"line_number": 34,
"usage_type": "call"
}
] |
18446576990 | from django.conf import settings
from django.contrib import messages
from django.http import HttpResponseRedirect
from allauth.account import signals
from allauth.account.adapter import DefaultAccountAdapter
class AccountAdapter(DefaultAccountAdapter):
def is_open_for_signup(self, request):
return getatt... | epicserve/django-base-site | apps/accounts/auth_adapter.py | auth_adapter.py | py | 1,443 | python | en | code | 284 | github-code | 6 | [
{
"api_name": "allauth.account.adapter.DefaultAccountAdapter",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.conf.settings",
"line_number": 11,
"usage_type": "argument"
},
{
"api_name": "django.http.HttpResponseRedirect",
"line_number": 18,
"usage_type":... |
6166850776 | # -*- coding: utf-8 -*-
"""
Created on Tue Jun 6 16:06:45 2017
@author: Francesco
"""
import threading
import sys
import serial
import numpy as np
import time
import matplotlib.pyplot as plt
global PORT
global BAUD
global NUM_CHANNELS
global END_BUNDLE_BYTE
global BYTE_PER_CHANNEL
global BUNDLE... | FrancesoM/UnlimitedHand-Learning | python_side/multithread.py | multithread.py | py | 5,210 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "threading.Thread",
"line_number": 48,
"usage_type": "attribute"
},
{
"api_name": "threading.Thread.__init__",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_name": ... |
16270189491 | import pymysql
import datetime
def insert(outsideTemp, insideTemp, targetTemp, fanState):
sql = "INSERT INTO FANS ( `time`, `outside_temp`, `inside_temp`, `target_temp`, `fan_state`) "
sql += "VALUES ( \"{0}\", {1}, {2}, {3}, {4})".format(datetime.datetime.now(), outsideTemp, insideTemp, targetTemp, fanState)
... | scottware/fans | database.py | database.py | py | 1,653 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "pymysql.connect",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pymysql.con... |
73700516027 | import os, time, gc
import numpy as np
import gym
import random
from gym import spaces
from gym.utils import seeding
from screeninfo import get_monitors
import pybullet as p
from .agents.objects import Object
from .util import Util
from .agents.agent import Agent
class BaseEnv(gym.Env):
def __init__(self, time_s... | gabriansa/collaborative-gym | collaborative_gym/envs/base_env.py | base_env.py | py | 20,082 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "gym.Env",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "pybullet.connect",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pybullet.DIRECT",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "util.Util",
"l... |
40633067575 | from django.urls import path
from .views import (
add_to_cart,
delete_from_cart,
order_details,
checkout,
update_transaction_records,
success
)
app_name = 'cart'
urlpatterns = [
path('^add-to-cart/<int:pk>/<slug:slug>/', add_to_cart, name="add_to_cart"),
path('^order-summary/', order_d... | sadakchap/cfe-ecom | cart/urls.py | urls.py | py | 662 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "views.add_to_cart",
"line_number": 14,
"usage_type": "argument"
},
{
"api_name": "django.urls.path",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "views.order_d... |
16647141836 | import os
import pandas as pd
import numpy as np
from tqdm.auto import tqdm
from textaugment import EDA
from nltk.tokenize import word_tokenize
class DataProcessing:
def __init__(self, input_path, output_path):
self.input_path = input_path
self.output_path = output_path
self.X = None
... | marynadorosh/test_task | src/data/make_dataset.py | make_dataset.py | py | 2,626 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.vstack",
"line_numbe... |
41682530680 | """add directory id to address
Revision ID: 19e625982be8
Revises: a9adfd3c2eba
Create Date: 2018-02-02 23:11:03.395662
"""
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import postgresql
# revision identifiers, used by Alembic.
revision = '19e625982be8'
down_revision = 'a9adfd3c2eba'
branch... | MondayHealth/provider-import | alembic/versions/19e625982be8_add_directory_id_to_address.py | 19e625982be8_add_directory_id_to_address.py | py | 973 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "alembic.op.add_column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integer... |
8099648005 | import pandas as pd
import pydotplus
from IPython.display import Image
from sklearn import metrics
from sklearn.externals.six import StringIO
from sklearn.model_selection import train_test_split
from sklearn.tree import DecisionTreeClassifier, export_graphviz
# nazwy wszystkich kolumn z CSV
column_names = ['Elevation'... | fedoruka/fct_classification | main.py | main.py | py | 2,347 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "sklearn.tree.DecisionTreeClassifier",
"line_number": 32,
"usage_type": "call"
... |
26625188476 | from django.conf import settings
from django.core import urlresolvers
from django.http import HttpResponse, HttpResponseRedirect
from django.shortcuts import render_to_response
from django.template import RequestContext
from django.utils.translation import ugettext_lazy as _
from product.modules.downloadable.models imp... | dokterbob/satchmo | satchmo/apps/product/modules/downloadable/views.py | views.py | py | 4,066 | python | en | code | 30 | github-code | 6 | [
{
"api_name": "re.compile",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "django.utils.translation.ugettext_lazy",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "product.modules.downloadable.models.DownloadLink.objects.get",
"line_number": 29,
"usag... |
8101165169 | import requests
import json
from config import keys
class ConvertionException(Exception):
pass
class CryptoConverter:
@staticmethod
def get_price(quote: str, base: str, amount: str):
if quote == base:
raise ConvertionException(f'Вы ввели одинаковые валюты {base}.')
... | voxvt/botexam | utils.py | utils.py | py | 1,270 | python | ru | code | 0 | github-code | 6 | [
{
"api_name": "config.keys",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "config.keys",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": ... |
21712175054 | # -*- coding: utf-8 -*-
from django.core.management.base import BaseCommand, CommandError
from optparse import make_option
from ...scraper import Scrap
class Command(BaseCommand):
option_list = BaseCommand.option_list + (make_option(
'--url',
action='store',
dest='url',
help='Sub... | jms/FlyNi-API | flyni_api/flyni/management/commands/get_data.py | get_data.py | py | 500 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.core.management.base.BaseCommand.option_list",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "django.core.management.base.BaseCommand",
"li... |
37176092039 | import numpy as np
import cv2
# Check available mouse events available with opencv library
# events = [i for i in dir(cv2) if 'EVENT' in i]
# print(events)
# General Callback function used for handling mouse events
def click_event(event, x, y, flags, param):
# Show x and y coordinate
if event == cv2.EVENT_LB... | sbhrwl/object_detection | src/opencv/mouse_events/handle_mouse_event.py | handle_mouse_event.py | py | 1,226 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.EVENT_LBUTTONDOWN",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "cv2.FONT_HERSHEY_SIMPLEX",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "cv2.putText",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "... |
70968292347 | import cv2
import numpy as numpy
import os
detector = cv2.CascadeClassifier('haarcascade_frontalface_alt.xml')
recognizer = cv2.face.LBPHFaceRecognizer_create()
recognizer.read("trainer/trainer.yml")
font = cv2.FONT_HERSHEY_SIMPLEX
id = 0
name = ['none', 'Godswill', 'Ebere', 'Godswill', 'handle']
cap = cv2.VideoCap... | awesomegusS/cv | recognizer.py | recognizer.py | py | 1,158 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.CascadeClassifier",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.face.LBPHFaceRecognizer_create",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.face",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "c... |
74796405626 | import torch
import torchvision
from torch import nn
from torch.nn import Sequential, Conv2d, MaxPool2d, Flatten, Linear
from torch.utils.data import DataLoader
from torch.utils.tensorboard import SummaryWriter
train_dataset = torchvision.datasets.CIFAR10(root="../dataset_CIFAR10", train=True, download=True,
... | ccbit1997/pytorch_learning | src/cifar10_model.py | cifar10_model.py | py | 1,591 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torchvision.datasets.CIFAR10",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torchvision.datasets",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torchvision.transforms.ToTensor",
"line_number": 9,
"usage_type": "call"
},
{
... |
72226014269 | from flask import Flask
from flask_sqlalchemy import SQLAlchemy
import os
import datetime
from sqlalchemy.dialects.postgresql import ARRAY
app = Flask(__name__)
SECRET_KEY = os.urandom(32)
app.config['SECRET_KEY'] = SECRET_KEY
app.config["SQLALCHEMY_DATABASE_URI"] = "sqlite:///db.sqlite"
app.config['RECAPTCHA_USE_S... | dananguyenucsb/ithinkihavecovid-19 | model.py | model.py | py | 1,606 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.urandom",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",... |
27513964476 | # -*- coding: utf-8 -*-
import os
import sys
import io
import math
def synthesize_asic_entity(yosys_location, yosys_synth_script, target_cell, entity_name, timing_constraint, synthesis_output_folder):
# Check if folder exists, and if not create
if(not os.path.isdir(synthesis_output_folder)):
os.mkdir(... | tintin10q/subterranean2digital | Reference_code/verilog_project/yosys_synth/synth.py | synth.py | py | 11,689 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.isdir",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number"... |
10423167833 | from __future__ import annotations
import dataclasses
from random import Random
from unittest.mock import MagicMock
import pytest
from randovania.game_description.game_patches import GamePatches
from randovania.game_description.resources.pickup_index import PickupIndex
from randovania.game_description.resources.reso... | randovania/randovania | test/games/prime2/generator/test_echoes_bootstrap.py | test_echoes_bootstrap.py | py | 3,634 | python | en | code | 165 | github-code | 6 | [
{
"api_name": "randovania.game_description.resources.pickup_index.PickupIndex",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "randovania.game_description.resources.pickup_index.PickupIndex",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "randovania.game_des... |
74725395066 | from datetime import datetime
from pynamodb.models import Model
from pynamodb.attributes import UnicodeAttribute, NumberAttribute, UTCDateTimeAttribute
from flask_blog.lib.utils import is_production
import os
class Entry(Model):
class Meta:
table_name = "serverless_blog_entries"
region = 'ap-north... | uni51/serverless_python_tutorial | application/flask_blog/models/entries.py | entries.py | py | 1,030 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pynamodb.models.Model",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "flask_blog.lib.utils.is_production",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name":... |
37430288968 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
name: 票友机票预订系统10处SQL注入
referer: http://www.wooyun.org/bugs/wooyun-2010-0118867
author: Lucifer
description: multi sqli。
'''
import sys
import requests
class piaoyou_ten_sqli_BaseVerify:
def __init__(self, url):
self.url = url
def run(self):
h... | iceyhexman/onlinetools | scanner/plugins/cms/piaoyou/piaoyou_ten_sqli.py | piaoyou_ten_sqli.py | py | 1,575 | python | en | code | 1,626 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 44,
"usage_type": "attribute"
}
] |
8385237281 | from __future__ import absolute_import
from __future__ import print_function
import os
import sys
from argparse import ArgumentParser
if 'SUMO_HOME' in os.environ:
sys.path.append(os.path.join(os.environ['SUMO_HOME'], 'tools'))
import sumolib # noqa
def get_options(args=None):
parser = ArgumentParser(descr... | ngctnnnn/DRL_Traffic-Signal-Control | sumo-rl/sumo/tools/turn-defs/turnFile2EdgeRelations.py | turnFile2EdgeRelations.py | py | 1,716 | python | en | code | 17 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_n... |
26824633032 | import matplotlib.pyplot as plt
import scipy
import scipy.interpolate
import sys
sys.path.append('/home/faustian/python/adas/xxdata_13/')
from matplotlib import rc
import adasread
rc('text', usetex=True)
rc('font',**{'family':'serif','serif':['Computer Modern Roman']})
#rc('font',**{'family':'sans-serif','sans-serif'... | icfaust/Misc | analyzeSXB.py | analyzeSXB.py | py | 3,468 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.rc",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.rc",
"line_n... |
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