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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
9386790051 | from turtle import color
import discord
import random
import os
import asyncio
import json
import requests
import time
from discord.ext import commands, tasks
from discord.ext.commands import has_permissions
from itertools import cycle
from dotenv import load_dotenv
load_dotenv()
TOKEN = os.getenv("TOKEN")
client =... | Siwan-SR/hogwarts | main.py | main.py | py | 11,982 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands.Bot",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "discord.ext.com... |
27708885859 | #!/usr/bin/env python3
import os
import sys
import subprocess as sp
from glob import glob
from shutil import rmtree
from setuptools import setup, find_packages, Command
class ST_cmd(Command):
description = "foo"
user_options = []
def initialize_options(self):
pass
def finalize_options(self):... | 9001/softchat | setup.py | setup.py | py | 3,257 | python | en | code | 27 | github-code | 1 | [
{
"api_name": "setuptools.Command",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "shutil.rmtree",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "subprocess.check_call",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "os.environ.cop... |
12889215777 | from service.base import BaseService
import requests
import json
import config
class UserService(BaseService):
def __init__(self, db, rs):
super().__init__(db, rs)
UserService.inst = self
def login(self, req, data={}):
'''
username, password
'''
url = self.add_c... | allenwhalecs03/nctu_hackathon | backend/service/user.py | user.py | py | 2,058 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "service.base.BaseService",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "config.BASE_URL",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "requests.post",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "json.dumps... |
38177825177 | import sys
import h5py
import logging
import warnings
from pathlib import Path
import torch
import numpy as np
from scipy.ndimage import zoom
from unet3d import Basic3DUNet
warnings.filterwarnings(action='ignore', category=UserWarning)
log = logging.getLogger(__name__)
PAD = 64
def segment_mitochondria(input_path,... | sanketx/mitochondria_segmentation | src/segmentation_utils.py | segmentation_utils.py | py | 3,799 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "h5py.Dataset",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "h5py.File... |
17360256705 | """add nr refund requested state
Revision ID: 8b99aacb139b
Revises: 07563e18d763
Create Date: 2020-11-30 10:43:13.218082
"""
from alembic import op
from sqlalchemy import Table, MetaData
# revision identifiers, used by Alembic.
revision = '8b99aacb139b'
down_revision = '07563e18d763'
branch_labels = None
depends_on... | bcgov/namex | api/migrations/versions/8b99aacb139b_add_nr_refund_requested_state.py | 8b99aacb139b_add_nr_refund_requested_state.py | py | 897 | python | en | code | 6 | github-code | 1 | [
{
"api_name": "sqlalchemy.MetaData",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op.get_bind",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Table",... |
36370333553 | #!/usr/bin/env python
import os
import time
import argparse
from datetime import datetime
from pvaserver import config
from pvaserver import adsimserver
from pvaserver import log
from pvaserver import __version__
def init(args):
if not os.path.exists(str(args.config)):
config.write(args.config)
else:... | decarlof/pvaServer | src/pvaserver/__main__.py | __main__.py | py | 3,454 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.path.exists",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "pvaserver.config.write",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pvaserver.config",... |
6494066267 | from collections import deque
n = int(input())
card=[]
for i in range(n):
card.append(int(input()))
card.sort()
q = deque(card)
num = q.popleft()
for i in range(n-1):
num += q.popleft()
q.insert(0, num)
print(sum(q)) | JoonseoKang/coding_test | Sorting/q4.py | q4.py | py | 233 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "collections.deque",
"line_number": 9,
"usage_type": "call"
}
] |
20062808348 | from functools import reduce
from typing import List, Iterator, Tuple, Callable
from aoc_2021.day_03.input import puzzle_input
test_input = [
0b00100,
0b11110,
0b10110,
0b10111,
0b10101,
0b01111,
0b00111,
0b11100,
0b10000,
0b11001,
0b00010,
0b01010,
]
def bits(n: int)... | kicsikrumpli/adventofcode-2021 | aoc_2021/day_03/puzzle_2.py | puzzle_2.py | py | 3,182 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "typing.Iterator",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_numbe... |
15971452841 | from aiida.orm.calculation.job.vasp.vasp import VaspCalculation
from aiida.orm import DataFactory, Code
from aiida.common.folders import Folder
import pymatgen as pmg
import sys
#~ vc = VaspCalculation()
incar = {'SYSTEM': 'TestSystem',
'ediff': 1E-5,
'GGA_COMPAT': False,
}
poscar = pmg.io.... | greschd/aiida-vasp | test/test_sub.py | test_sub.py | py | 1,029 | python | en | code | null | github-code | 1 | [
{
"api_name": "pymatgen.io.vasp.Poscar.from_file",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pymatgen.io",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "aiid... |
12062140487 | #save multiple-scatter data as in notebook: nrFano_Constraint/ms_simulation_yield.ipynb
import numpy as np
import pandas as pd
import sima2py as sapy
import warnings
warnings.simplefilter(action='ignore', category=FutureWarning)
import h5py
warnings.resetwarnings()
#get the equivalent charge energy for a recoil of e... | villano-lab/nrFano_paper2019 | python/ms_save.py | ms_save.py | py | 2,277 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "warnings.simplefilter",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "warnings.resetwarnings",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "h5py.File",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
... |
37571781625 | #!/usr/bin/python
import indicoio
import json
from os import listdir
indicoio.config.api_key = 'a43cdf55368bc533dc45c5686188466c'
features = []
# Get all image files in the images meme folder
all_memes = [f for f in listdir('memes') if (str(f) != '.DS_Store')]
size = all_memes.__len__()
# Open the memedb to see wh... | SDupZ/memex | utils/featuresDump.py | featuresDump.py | py | 1,285 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "indicoio.config",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "indicoio.image_features",
... |
6653271407 | import os
from torchvision import transforms
from PIL import Image
path1 = "data/imagenet/train"
path2 = "data/imagenet/val"
path_useless = "data/useless"
pic_paths = []
i = os.listdir(path1)
for j in i:
k = os.listdir(os.path.join(path1, j))
for l in k:
pic_paths.append(os.path.join(path1, j, l))
i = os.lis... | u-i-r/my-swin-test | my-swin-gpu/check_data.py | check_data.py | py | 712 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.listdir",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
... |
31828817238 | # -*- coding: utf-8 -*-
"""
Created on Wed Jul 14 16:49:47 2021
@author: MI2
"""
import pandas as pd
import numpy as np
from matplotlib import pyplot as plt
import tia.bbg.datamgr as dm
from datetime import date as dt
import statsmodels.api as sm
from YoY import *
dataPeriod = 'WEEKLY'
startDate = dt(2... | tommyoneil/Market-Models | OLS Regression Models/FedvValueLine.py | FedvValueLine.py | py | 1,783 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "datetime.date",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "tia.bbg.datamgr.BbgDataManager",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "tia.bbg.da... |
32150094695 | import os.path
import json
from azure.mgmt.resource import ResourceManagementClient
from azure.mgmt.resource.resources.models import DeploymentMode
from azure.identity import DefaultAzureCredential
subscription_id = os.getenv("AZURE_SUBSCRIPTION_ID")
resource_group = os.getenv("AZURE_RESOURCE_GROUP")
identity = os.ge... | microsoft/ccfdns | tests/service/deploy.py | deploy.py | py | 1,414 | python | en | code | 7 | github-code | 1 | [
{
"api_name": "os.path.getenv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "os.path.getenv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
... |
15409786223 | import sys
import requests
import json
import math
import numpy as np
import numpy.linalg as nla
import matplotlib.pyplot as plt
def SplitWord(word):
return [char for char in word]
def function1(x):
return math.cos(x) * x
def function2(x):
return 1/x
def function3(x):
return x**2 -2*x - 1
d... | trosnerMSU/NumericalAnalysisFunctions | NumericalAnalysis/venv/practice.py | practice.py | py | 7,571 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "math.cos",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "math.sin",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "math.cos",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.append",
"line_number": 30,
... |
20117487881 |
import torch
import torch.nn as nn
import torch.nn.functional as F
from det_ae import DAE
from Doric import ProgColumnGenerator
from Doric import ProgConv2DBlock, ProgLambdaBlock, ProgDenseBlock, ProgColumn
def loadPrognet(prognet, colList, filepath):
for t in colList:
prognet.addColumn(ms... | arcosin/Task_Detector | minatar/common.py | common.py | py | 2,996 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "torch.load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.nn.Module",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"line_... |
72848128033 | """Nox sessions."""
import tempfile
from typing import Any
import nox
from nox.sessions import Session
nox.options.sessions = "isort", "autopep8", "black", "mypy", "safety", "tests"
package = "project_name"
locations = "src", "tests", "noxfile.py", "docs/conf.py"
def install_with_constraints(session: Session, *args... | fabriziobonavita/python-rest-template | noxfile.py | noxfile.py | py | 2,825 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "nox.options",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "nox.sessions.Session",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "tempfile.NamedTempora... |
40829019139 | import os
import random
import torch
import torchvision.transforms as transforms
from torchvision.datasets import CIFAR10
from torchvision.datasets import CIFAR100
from torchvision.datasets import ImageFolder
def cifar10_data(batchsize, workers):
normalize = transforms.Normalize(mean=[0.485, 0.456, 0.406],
... | xfey/RMI-NAS | utils/loader.py | loader.py | py | 3,342 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "torchvision.transforms.Normalize",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "torch.utils.data.DataLoader",
"line_number": 14,
"usage_type": "call"
},
{
... |
3860115203 | #! /usr/bin/env/python
import csv
import time
import pandas
from collections import defaultdict
orderBaseDict = {}
orderIdDict = defaultdict(list)
prodIdDict = {}
deptIdDict = {}
allDetailsList = []
filename = 'order_products__prior.csv'
filename2 = 'departments.csv'
csv_delimiter = ','
print(time.strftime("%Y-%m-%d ... | Pragad/LearnPython | ReadCSVFile.py | ReadCSVFile.py | py | 1,153 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "collections.defaultdict",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "time.strftime",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "time.strftime",
"... |
27510686659 | """
Author: alberto.suarez@uam.es
Coauthors: joseantonio.alvarezo@estudiante.uam.es
franciscojavier.saez@estudiante.uam.es
"""
from typing import Callable, Tuple
import numpy as np
from scipy.spatial import distance
from sklearn.preprocessing import normalize
from sklearn.utils.extmath import svd_fli... | fjsaezm/mcd-mf | HW_02/kernel_machine_learning.py | kernel_machine_learning.py | py | 6,694 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.ndarray",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "numpy.ndarray",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "numpy.ndarray",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "numpy.ndarra... |
25719224670 | import torch
import torch.nn as nn
from rl_squared.networks.modules.distributions.bernoulli.fixed_bernoulli import (
FixedBernoulli,
)
from rl_squared.utils.torch_utils import init_module
class Bernoulli(nn.Module):
def __init__(self, num_inputs: int, num_outputs: int):
"""
Initialize the Ber... | bay3s/rl-squared | rl_squared/networks/modules/distributions/bernoulli/bernoulli.py | bernoulli.py | py | 989 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "torch.nn.Module",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "rl_squared.utils.torch_utils.init_module",
"line_number": 21,
"usage_type": "call"
},
{
"api_name":... |
22015366361 | import psutil
print(f'Number of CPUs: {psutil.cpu_count()}')
p = psutil.Process()
arr_cpus = [i for i in range(60,66)]
p.cpu_affinity(arr_cpus)
print(f'CPU pool after assignment ({len(arr_cpus)}): {p.cpu_affinity()}')
import warnings
warnings.filterwarnings("ignore")
comd = [
'Add a room in the top left with si... | hmhuy2000/maze_diffusion | inference.py | inference.py | py | 4,021 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "psutil.cpu_count",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "psutil.Process",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "warnings.filterwarnings",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_a... |
18641918068 | from flask import Flask, session, jsonify, request
import pandas as pd
import numpy as np
import pickle
#import create_prediction_model
import scoring#
from scoring import score_model
from diagnostics import model_predictions, dataframe_summary, missing_values, execution_time, outdated_packages_list
#import pr... | msinha251/Udacity_MLDevops_C4_Project | project-files/app.py | app.py | py | 2,927 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": ... |
11572312927 | from collections import deque
# 깊이 우선
def dfs(v):
print(v, end = ' ')
visited[v] = True
for e in adj[v]:
if not(visited[e]):
dfs(e)
# 너비 우선
def bfs(v):
q = deque([v])
while q:
v = q.popleft()
if not (visited[v]):
visited[v] = True
print(v... | hyojeong00/BOJ | boj1260.py | boj1260.py | py | 1,981 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "collections.deque",
"line_number": 13,
"usage_type": "call"
}
] |
19066943439 | from datetime import datetime
from django.contrib.auth.models import User, Group
from rest_framework import serializers
from ClimateBox.settings import HUB_SECRET_KEY_LENGTH
from hub.models import Readout, Device, Alert
class UserSerializer(serializers.HyperlinkedModelSerializer):
class Meta:
model = Us... | theMavl/ClimateBox | hub/serializers.py | serializers.py | py | 3,544 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "rest_framework.serializers.HyperlinkedModelSerializer",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.models.User",
"line_number": 12,
... |
4356272156 | from torch.nn import Module
from torch import nn
from utils.builder import get_builder
class LeNet5(Module):
def __init__(self, a = 6, b = 16, c = 120, d = 84):
super(LeNet5, self).__init__()
builder = get_builder()
self.conv1 = builder.conv5x5(1, a)
# self.conv1 = nn.Conv2d(1, 6, ... | x-zho14/SparseIRM | models/lenet5.py | lenet5.py | py | 1,375 | python | en | code | 6 | github-code | 1 | [
{
"api_name": "torch.nn.Module",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "utils.builder.get_builder",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.nn.ReLU",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.nn",
... |
24187487563 | """Loads a json file containing settings that the ISAMBARD use.
A .isambard_settings file must be made in this directory, template_settings.py can be copied and paths for your system
can be added. Json files look like python dictionaries, and in fact all json files are valid python dictionary code
(although this isn't... | woolfson-group/isambard | isambard/settings.py | settings.py | py | 1,992 | python | en | code | 8 | github-code | 1 | [
{
"api_name": "os.path.dirname",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.expanduser",
... |
41437758163 | import logging
import string
import json
import pytest
from streamsets.testframework.markers import salesforce, sdc_min_version
from streamsets.testframework.utils import get_random_string
from ..utils.utils_salesforce import (BULK_PIPELINE_TIMEOUT_SECONDS, clean_up, get_ids, OBJECT_NAMES,
... | streamsets/datacollector-tests | stage/standard/test_salesforce_bulk2_destination.py | test_salesforce_bulk2_destination.py | py | 15,315 | python | en | code | 17 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "streamsets.testframework.markers.salesforce.client",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "streamsets.testframework.markers.salesforce",
"line_number": 18,
... |
14830570043 | """
**DISCLAIMER:**
Please note that this code is for educational purposes only.
It is not intended to be run directly in production.
This is provided on a best effort basis.
Please make sure the code you run does what you expect it to do.
"""
import argparse
from pprint import pprint
import requests
... | VirusTotal/vt-use-cases | admins_guide/getting_group_users_and_service_accounts.py | getting_group_users_and_service_accounts.py | py | 2,439 | python | en | code | 9 | github-code | 1 | [
{
"api_name": "requests.get",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "pprint.pprint",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "pprint.pprint",
... |
33270977246 | # coding: utf-8
import matplotlib.pyplot as plt
from triangles.utils import get_mobius_triangle
from triangles.chains import get_chain
triangle_type = (2, 3, 7)
W = 'ab'
ini_tri = get_mobius_triangle(*triangle_type)
v, e, f = get_chain(ini_tri, W) #%* Se genera la cadena y se guardan los vértices,*)
... | airammrc/triangles | ejemplo2.py | ejemplo2.py | py | 748 | python | es | code | 0 | github-code | 1 | [
{
"api_name": "triangles.utils.get_mobius_triangle",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "triangles.chains.get_chain",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.scatter",
"line_number": 18,
"usage_type": "call"
},
... |
31636971721 | import os
import json
import time
from requests.exceptions import HTTPError
from elifetools.utils import doi_uri_to_doi
from S3utility.s3_notification_info import parse_activity_data
from provider import (
digest_provider,
download_helper,
email_provider,
requests_provider,
utils,
)
from activity.ob... | elifesciences/elife-bot | activity/activity_PostDigestJATS.py | activity_PostDigestJATS.py | py | 9,275 | python | en | code | 19 | github-code | 1 | [
{
"api_name": "activity.objects.Activity",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
... |
15054232788 | import argparse
import subprocess
import logging
import shutil
from pathlib import Path
# Configure logging
logging.basicConfig(level=logging.DEBUG, format='[%(levelname)s] %(message)s')
def find_encoded_files(directory, encodings):
encoded_files = []
for file_path in Path(directory).rglob('**/*'):
if... | chestnut-sec/work | 2UTF8.py | 2UTF8.py | py | 2,518 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.basicConfig",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.debug",
... |
37519019964 | """A simple number and datetime addition JSON API.
Run the app:
$ python examples/flask_example.py
Try the following with httpie (a cURL-like utility, http://httpie.org):
$ pip install httpie
$ http GET :5001/
$ http GET :5001/ name==Ada
$ http POST :5001/add x=40 y=2
$ http POST :5001/datead... | yufeiminds/webargs | examples/flask_example.py | flask_example.py | py | 2,061 | python | en | code | null | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "webargs.Arg",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "webargs.flaskparser.use_args",
... |
41898453027 | from astropy.io import fits
import argparse
from glob import glob
import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np
# Plots a given order for each spectrum from a given epoch;
# on click places a line, after two lines prints pixel range and wavelength
# range.
def build_px_masks():
#np... | chrisleet/selenite | selenite/test_code/build_px_masks.py | build_px_masks.py | py | 7,166 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.inf",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.fi... |
8803479781 | from gmpy2 import is_prime
def backwards_prime(start, stop):
ans = []
print(start,stop)
for i in range(start,stop+1):
re = int(str(i)[::-1])
if is_prime(i) == True and is_prime(re) == True and i != re:
ans.append(i)
return ans | Otiston/Codewars | 6 kyu/Backwards Read Primes.py | Backwards Read Primes.py | py | 275 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "gmpy2.is_prime",
"line_number": 8,
"usage_type": "call"
}
] |
23600747363 | from django.urls import path
from . import views
urlpatterns = [
path("", views.index, name="blogHome"),
path("about/", views.about, name="blogAbout"),
path("search/", views.search, name="blogSearch"),
path("impression/", views.impression, name="blogImpression"),
path("edit/", views.edit, name="blo... | nikhivishwaa/JKart-Ecommerce-Website | jkart/blog/urls.py | urls.py | py | 388 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
34342563057 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
from django.conf import settings
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operati... | ludrao/django-tellme | tellme/migrations/0001_initial.py | 0001_initial.py | py | 1,034 | python | en | code | 148 | github-code | 1 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.swappable_dependency",
"line_number": 12,
"usage_type": "call... |
34523096925 | import logging
import torch
import os
from dataset import *
logger = logging.getLogger(__file__)
def toSlicesGroupDataset(train, label, slice):
print('SLICES: ', slice)
if slice == 1:
return [[train[i].unsqueeze(0), label[i]] for i in range(label.shape[0])]
paddingSize = int(slice / 2)
paddi... | HuXiaoling/imageSeg-2.5D_topo | utils.py | utils.py | py | 4,575 | python | en | code | 32 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "torch.zeros",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.cat",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.stack",
"line_number... |
17600549029 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('shopapp', '0047_auto_20170814_0940'),
]
operations = [
migrations.AlterField(
model_name='product',
... | HoangJerry/onedollar | shopapp/migrations/0048_auto_20170814_0955.py | 0048_auto_20170814_0955.py | py | 471 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.AlterField",
"line_number": 14,
"usage_type": "call"
},
{... |
74664024672 | #Gensim -> based on textrank algorithm, textrank id graph based ranking algorithm for text processing,
# also know as topic modelling, document indexing and similarity retrieal for large text
# pre trained model comes with it
from bs4 import BeautifulSoup
import requests
from gensim.summarization.summarizer import sum... | vanshavenger/Automation | Text Summarizer.py | Text Summarizer.py | py | 1,283 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "gensim.summarization.summarizer.summarize",
"line_number": 28,
"usage_type": "call"
},
{
"api_name... |
71103780195 | import os
import argparse
import json
from subprocess import call
import urllib.request
from shutil import copyfile
class wordpressSync(object):
def __init__(self, args):
self.MAMP_PATH = '/Applications/MAMP/bin/php/'
self.MAMP_ENABLED = args.mampEnabled
# Store DIRs and change to the inst... | Potion/poDataTools | wordpress/poWordpressTool.py | poWordpressTool.py | py | 13,637 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.path.abspath",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.realpath",
"... |
32200656016 | #!/usr/bin/python
import argparse
import os
import random
import sys
import Project
from coilsnake.util.common.yml import yml_load
sys.path.append('./')
def calcNewStat(statName, growthRates, newLevel, oldStatValue):
r = 0
if (statName == "Vitality" or statName == "IQ") and (newLevel <= 10):
r = 5... | pk-hack/CoilSnake | coilsnake/tools/damage_calc.py | damage_calc.py | py | 4,386 | python | en | code | 153 | github-code | 1 | [
{
"api_name": "sys.path.append",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "random.randint",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "random.randint",
"li... |
4848789733 | """ Media manipulation routines
Example:
import tator
api = tator.get_api(token=token)
media = api.get_media(media_id,presigned=3600)
util = tator.util.MediaUtil()
# This load takes a tator object
util.load_from_media_object(media, quality=None)
# path now contains a disk path to an mp4 in the temporary staging are... | cvisionai/tator-py | tator/util/media_util.py | media_util.py | py | 17,899 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "io.BytesIO",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "sys.maxsize",
"line_number": 1... |
29883046162 | # Import required libraries
import pandas as pd
import dash
from dash import html, dcc
from dash.dependencies import Input, Output
import plotly.express as px
# Read the airline data into pandas dataframe
spacex_df = pd.read_csv("spacex_launch_dash.csv")
max_payload = spacex_df['Payload Mass (kg)'].max()
min_payload =... | lubix/Dashboard-Application-with-Plotly-Dash | spacex_dash_app.py | spacex_dash_app.py | py | 4,891 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "dash.Dash",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "dash.html.Div",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "dash.html",
"line_number":... |
8067224178 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import django.db.models.deletion
from django.conf import settings
class Migration(migrations.Migration):
dependencies = [
('auth', '0006_require_contenttypes_0002'),
migrations.swappable_depe... | zhubingbi/MyCmdb | Users/migrations/0002_auto_20171229_1929.py | 0002_auto_20171229_1929.py | py | 1,871 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.swappable_dependency",
"line_number": 13,
"usage_type": "call... |
9789007015 | import time
import json
from functools import wraps
from flask import request, current_app
from mongo import engine
from mongo.utils import doc_required
from .response import *
__all__ = (
'Request',
'get_ip',
)
type_map = {
'int': int,
'list': list,
'str': str,
'dict': dict,
'bool': bool,... | Normal-OJ/Back-End | model/utils/request.py | request.py | py | 3,238 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "flask.request",
"line_number": 34,
"usage_type": "argument"
},
{
"api_name": "functools.wraps",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "mongo.utils.doc_required",
"line_number": 79,
"usage_type": "call"
},
{
"api_name": "mongo.engi... |
2797565283 | # -*- coding: utf-8 -*-
from __future__ import absolute_import, unicode_literals
from django.conf.urls import url
from . import views
urlpatterns = [
# URL pattern for the url_encode view
url(
regex=r'^encode$',
view=views.url_encode,
name='encode'
),
# URL pattern for the url... | aaronmyatt/mv_shorl | short/urls.py | urls.py | py | 439 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.conf.urls.url",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 16,
"usage_type": "call"
}
] |
33368145432 | # import cv2
import numpy as np
import os
from PIL import Image
from hf.core import obj_utils
from hf.core import box_3d_encoder
class LabelSegPreprocessor(object):
def __init__(self, dataset, label_seg_dir, expand_gt_size):
"""Preprocesses label segs and saves to files for RPN-seg training
Ar... | zhaotudou/HeteroFusionRCNN | hf/core/label_seg_preprocessor.py | label_seg_preprocessor.py | py | 5,568 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "os.makedirs",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "hf.core.obj_utils.read_labels",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "hf.core.obj_ut... |
1413417536 | import pandas as pd
import numpy as np
from scipy.optimize import minimize
import time
import matplotlib.pyplot as plt
def sphere_evaluate(x):
value = sum((x-shift[0:len(x)])**2)+bias
converge.append(value)
return value
def minimize_sphere(dim, shifts, biases):
start = time.time()
global shift, b... | Justus-M/dsti-metaheuristics-justus-mulli | sphere/sphere.py | sphere.py | py | 725 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "time.time",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "scipy.optimize.minimize",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_n... |
12888255447 | import pygame
from bullet import Bullet
WINDOW_WIDTH = 512
WINDOW_HEIGHT = 768
class Hero(object):
def __init__(self, win):
self.img = pygame.image.load("res/hero.png")
self.window = win
# 获取图片的矩形对象
# hero_rect = hero.get_rect() # 获取图片的矩形对象（一个图片就会有一个矩形对象，通过这个.get_rect() 来获取矩形对象，... | allenwong0609/game | hero.py | hero.py | py | 2,465 | python | zh | code | 0 | github-code | 1 | [
{
"api_name": "pygame.image.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pygame.key.get_pressed",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "pygame.key... |
37683187973 | import logging
import traceback
__pubsub = {}
def subscribe(topic, callback):
global __pubsub
logging.debug("subscribe to %s, callback = %s" % (
topic, str(callback) ))
if topic not in __pubsub:
__pubsub[topic] = []
__pubsub[topic].append(callback)
def unsubscribe(topic, callback):... | umair-gujjar/industrial-ffmpeg | iffmpegmod/signals.py | signals.py | py | 841 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.debug",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.debug",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "logging.error",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "traceback.format_exc",
"... |
6170698775 |
from pathlib import Path
ROOT = Path(__file__).absolute().parent.parent
import sys
sys.path.append(str(ROOT))
from easydict import EasyDict
from tqdm import tqdm
from visualizer import draw, Visualizer, Camera
from utils.tools import *
nusc_map = ['car', 'truck', 'construction_vehicle', 'bus', 'trailer',
... | SpartanH7/PcdDetectionVisualization | demo/demo.py | demo.py | py | 4,074 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pathlib.Path",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "tqdm.tqdm",
"line_number"... |
18746494408 | from texttable import Texttable
import random
class BoardException(Exception):
def __init__(self, message):
self._message = message
def __str__(self):
return str(self._message)
class Snake:
def __init__(self):
self._direction = 'up'
self._head = [0, 0]
... | pauladam2001/Sem1_FundamentalsOfProgramming | SessionExam/Board/snakeAndBoard.py | snakeAndBoard.py | py | 5,733 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "random.choice",
"line_number": 135,
"usage_type": "call"
},
{
"api_name": "texttable.Texttable",
"line_number": 144,
"usage_type": "call"
}
] |
42700341945 | ###############################
# Authors
###############################
# André Mourato nmec 84745
# Gonçalo Marques nmec 80327
###############################
# Benchmarking
import tracemalloc
import time
# Necessary imports
import sys
import math
import Stemmer
import operator
import csv
# File i... | andremourato/information-retrieval | assignment/indexer.py | indexer.py | py | 12,132 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "csv.DictReader",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "Stemmer.Stemmer",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "math.log10",
"line_number": 127,
"usage_type": "call"
},
{
"api_name": "math.log10",
"line_num... |
73457798114 | import shlex
import argparse
import logging
import sys
import os
import getpass
import json
import time
import shutil
from colorama import Fore, Back, Style
import dropship
from dropship.lib.netdef import NetworkDefinition
from dropship.lib.helpers import ModuleManager, StateFile
from dropship.lib.builder import Drops... | bocajspear1/dropship | run_dropship.py | run_dropship.py | py | 7,642 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "dropship.lib.netdef.NetworkDefinition",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "sys.... |
33490379028 | from nose.tools import eq_, ok_
from deeprank.models.variant import PdbVariantSelection
from deeprank.domain.amino_acid import alanine, valine, glutamine, glycine, methionine
def test_instance():
pdb_ac = "1AK4"
chain_id = "A"
residue_number = 10
wt_amino_acid = alanine
var_amino_acid = glutamin... | DeepRank/DeepRank-Mut | test/models/test_variant.py | test_variant.py | py | 981 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "deeprank.domain.amino_acid.alanine",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "deeprank.domain.amino_acid.glutamine",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "deeprank.models.variant.PdbVariantSelection",
"line_number": 15,
... |
35141514658 | import os
import argparse
import torch
import pickle
import torch.utils.data as utils
import torch.optim as optim
from torch.distributions import Normal
import time
import numpy as np
from graph import Graph
from model import ReconstructionNet
from pool import FeaturePooling
from metrics import loss_function
from data... | a-heintz/small-body-reconstruction-NN | train.py | train.py | py | 6,563 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 70,
"usage_type": "attribute"
},
{
"api_name": "torch... |
29257658739 | import csv
import matplotlib.pyplot as plt
import tkinter
from tkinter import *
from PIL import ImageTk, Image
import sv_ttk
'''This is the function for when the "ENTER" button
is clicked on the GUI.
-When the button is clicked, the state name that
the user has entered is compared against a file that
contains state n... | shorttea/ENGRGroup | folder-name/MAIN_CODE_graph state usage.py | MAIN_CODE_graph state usage.py | py | 15,132 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "csv.reader",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_n... |
14115772563 | from datetime import datetime
import winsound
def inc_time(time):
if time[-1:] == '9':
tenth_min = int(time[-2:-1])
if tenth_min == 5:
tenth_min = 0
else:
tenth_min = tenth_min + 1
time = time[:-2] + str(tenth_min) + '0'
else:
mins = int(time[-1:]... | abdulazizibrahim/Human-Detection-Using-Wireless-Signals | times.py | times.py | py | 877 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "datetime.datetime.now",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "winsound.Beep",
"line_number": 33,
"usage_type": "call"
}
] |
74026460194 | #!/usr/bin/env python
import serial
import keyboard
ser = serial.Serial('/dev/ttyUSB0', 115200)
izq=False
dch=False
nad=False
prevIzq=False
prevDch=False
while 1:
lectura = ser.readline()
print(lectura)
pos = lectura[:3]
if pos == 'izq':
print("Izquierda")
izq=True
dch=False
... | David-Lor/Pedales-Arduino | pedales_izq_dch.py | pedales_izq_dch.py | py | 775 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "serial.Serial",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "keyboard.press",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "keyboard.press",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "keyboard.release",
"li... |
32789903126 | #!/usr/bin/env python3
from functools import reduce
from PIL import Image
from typing import List, Tuple
import sys
from math import floor
from itertools import chain
import numpy as np
def read_barcode_info(path: str) -> List[bool]:
img = Image.open(path)
img = img.resize((256, img.height)).convert('L')
retur... | PKU-GeekGame/geekgame-1st | src/newsong/bar2histogram.py | bar2histogram.py | py | 1,596 | python | en | code | 52 | github-code | 1 | [
{
"api_name": "PIL.Image.open",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_numbe... |
1444791185 |
import cv2
import numpy as np
class ForegroundEstimator:
def __init__(self, width, height, speaker_exp_factor, min_mask_frames, mask_exp_radius):
self.width = width
self.height = height
self.speaker_exp_factor = speaker_exp_factor
self.min_mask_frames = min_mask_frames
self... | adaniefei/AccessMath_Pose | AccessMath/speaker/actions/foreground_estimator.py | foreground_estimator.py | py | 5,117 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "numpy.zeros",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "numpy.float64",
"line_number": 52,
"usage_type": "attribute"
},
{
"api_name": "numpy.nonzero",
"line_number": 79,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_... |
32497392433 | # Definition for a binary tree node.
from typing import Optional
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
class Solution:
def recoverTree(self, root: Optional[TreeNode]) -> None:
if not root:
... | augini/algorithms_ds | Leetcode/99.py | 99.py | py | 801 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "typing.Optional",
"line_number": 14,
"usage_type": "name"
}
] |
8535418675 | from aux import array2string, loop_minmax
from vis import ccmap
import numpy as np
import matplotlib.pyplot as plt
import itertools
import logging
import json
from netCDF4 import Dataset
log = logging.getLogger(__name__)
class DataObject:
def __init__(self, filename, variable):
self.fn = filename
... | feltor-dev/visualise | pdata.py | pdata.py | py | 7,947 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "netCDF4.Dataset",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "netCDF4.Dataset",
"li... |
72410871074 | import requests
import httpx
chrome_headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36' \
' (KHTML, like Gecko) Chrome/110.0.0.0 Safari/537.36',
'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive'}
print(... | ElliotGarbus/MastodonExperiments | experiments/test_sleeping.py | test_sleeping.py | py | 870 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "requests.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "httpx.get",
"line_number": 24,
"usage_type": "call"
}
] |
7555976140 | from matplotlib import pyplot as plt
import numpy as np
from tensorflow import keras
def go():
X_train = np.linspace(0, 20, 100)
y_train = 3 * np.sin(X_train) + np.random.normal(0, 0.3, 100)
X_test = np.linspace(20, 30, 50)
y_test = 3 * np.sin(X_test) + np.random.normal(0, 0.3, 50)
model = keras.... | sesc-infosec/sesc-infosec.github.io | src/Lecture 15/NeuralNetworks/my_regression.py | my_regression.py | py | 965 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.linspace",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.random.normal",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_nu... |
20350786195 | from detection import *
from get_url import *
from image import *
from azure.cognitiveservices.vision.face import FaceClient
from msrest.authentication import CognitiveServicesCredentials
import os
def auth():
l = []
k = []
k.append("your-key")
k.append("your-key")
k.append("your-key")
... | Canardier/Hackaton-Microsoft | python-server/recoco.py | recoco.py | py | 1,358 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "azure.cognitiveservices.vision.face.FaceClient",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "msrest.authentication.CognitiveServicesCredentials",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.rename",
"line_number": 39,
"usage_t... |
10191812998 | fn = "input.txt"
fn = "test.txt"
from math import prod
from itertools import product
def solve(data, n, label):
for group in product(*(data,)*n):
if sum(group) == 2020:
print(f'{label}: {prod(group)}')
return
data = list(map(int, open(fn).readlines()))
solve(data, 2, 'Part 1')... | ahenshaw/aoc2020 | aoc01/day1.py | day1.py | py | 345 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "itertools.product",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "math.prod",
"line_number": 9,
"usage_type": "call"
}
] |
36436502173 | # 参考 https://stats.stackexchange.com/questions/71335/decision-boundary-plot-for-a-perceptron
import numpy as np
from sklearn.linear_model import Perceptron
import matplotlib.pyplot as plt
def g(x):
if x > 0:
return 1
else:
return 0
def update_weights(w, X, y, a = 1):
py = 0... | fanqo/MMLwsl_2nd_zh | ch10/test.py | test.py | py | 1,558 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.dot",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 31... |
35572635490 | import os
import csv
from innostock import settings
from stockkdata.models import ListOfCompanies
from django.core.management.base import BaseCommand,CommandError
DIR_PATH=os.path.dirname(__file__)
class Command(BaseCommand):
help='Add company data'
def handle(self, *args, **options):
with open(str(D... | devanshslnk/StockHub | innostock/stockkdata/management/commands/list_of_company.py | list_of_company.py | py | 875 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "os.path.dirname",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "csv... |
11353626686 | import mock
import unittest
import uuid
import sys
import subprocess
import pdb
from stats_daemon.storage_nodemgr import EventManager
from pysandesh.sandesh_base import *
class EventManagerTest(unittest.TestCase):
def setUp(self):
self._api = EventManager("storage-compute")
def mocked_pool_subprocess... | Juniper/contrail-dev-controller | src/storage/stats-daemon/stats_daemon/tests/test_storage_nodemgr.py | test_storage_nodemgr.py | py | 6,557 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "unittest.TestCase",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "stats_daemon.storage_nodemgr.EventManager",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "subprocess.check_output",
"line_number": 28,
"usage_type": "attribute"
... |
35076682794 | """
deviceinfo.py
A simple Device Information service
Device information is stored in files named <devicename>.py in the devices sub-folder
Each device file contains a dict of values
These device files are [ideally] generated from DFP information by [running generate_device_info.py | hand]
"""
# Python 3 compatibility... | SpenceKonde/megaTinyCore | megaavr/tools/libs/pymcuprog/deviceinfo/deviceinfo.py | deviceinfo.py | py | 13,633 | python | en | code | 471 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "importlib.import_module",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "importlib.import_module",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "imp... |
28097598839 | from schema import And, Optional, Or, Schema
_DATA_TYPES = Or(
"binary",
"text",
"number",
"date",
"image",
"audio",
"video",
"list",
"single_selection",
"multiple_selection",
"form_sequence",
"email",
"link",
"pdf",
"embed",
"named_entity_recognition",
... | Human-Lambdas/human-lambdas | src/human_lambdas/data_handler/data_schema.py | data_schema.py | py | 1,527 | python | en | code | 32 | github-code | 1 | [
{
"api_name": "schema.Or",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "schema.Schema",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "schema.Optional",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "schema.Optional",
"line_nu... |
22122963677 | import unittest
from typing import List
import heapq
import collections
class Solution:
def minCostToSupplyWater(self, n: int, wells: List[int], pipes: List[List[int]]) -> int:
'''
首先利用最小生成树，找到一条最短的路径连接所有的点，（或者直接在当前处建立well）， 且选择其中建wells cost最小的作为起始点。
'''
graph = collections.defaultdi... | AllieChen02/LeetcodeExercise | Graph/P1168OptimizeWaterDistributionInAVillage/OptimizeWaterDistributionInAVillage.py | OptimizeWaterDistributionInAVillage.py | py | 1,493 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "typing.List",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "collections.defaultdict",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "heapq.heappush",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "heapq.heappop",
... |
39568625195 | from dataset import CatVsDogImageFoler
from dataloader import return_dataloaders
from trainer import Train
from model import ResNet, BasicBlock, BottleNeck
import torch.nn as nn
import torch
from torchsummary import summary
from collections import namedtuple
dataset = CatVsDogImageFoler()
train_dataset, val_dataset ,... | paragonyun/Papers_I_must_read | ResNet/train.py | train.py | py | 1,942 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "dataset.CatVsDogImageFoler",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "dataset.dataset",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "dataloader.return_dataloaders",
"line_number": 14,
"usage_type": "call"
},
{
"api_name... |
19416842583 | import logging
from aiogram.dispatcher import FSMContext
from aiogram.dispatcher.filters import Text
from aiogram.types import Message, ReplyKeyboardRemove, InlineKeyboardMarkup, InlineKeyboardButton, \
CallbackQuery, ContentType
from keyboards.default import main_menu_admin, admin_default_cancel_confirm_service, ... | Sanzensekai-mx/cosmetology_bot_example | handlers/admins/admin_add_service.py | admin_add_service.py | py | 15,242 | python | ru | code | 0 | github-code | 1 | [
{
"api_name": "utils.db_api.models.DBCommands",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "aiogram.types.InlineKeyboardMarkup",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "data.config.keys",
"line_number": 20,
"usage_type": "call"
},
{
... |
73589777313 | import os
import msgspec
msgspec_encoders = {".json": msgspec.json.Encoder(), ".msgpack": msgspec.msgpack.Encoder(), ".toml": msgspec.toml, ".yaml": msgspec.yaml}
msgspec_decoders = {".json": msgspec.json.Decoder(), ".msgpack": msgspec.msgpack.Decoder(), ".toml": msgspec.toml, ".yaml": msgspec.yaml}
import gradio as g... | Xerxemi/auto-MBW-rt | scripts/payload/create_payload.py | create_payload.py | py | 11,216 | python | en | code | 17 | github-code | 1 | [
{
"api_name": "msgspec.json.Encoder",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "msgspec.json",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "msgspec.msgpack.Encoder",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "msgspec.m... |
8088660702 | import csv
from datetime import date
import pandas as pd
import requests
# API Key from EIA
api_key = 'df8bc3420afaf1f07d730567179ad3e3'
# PADD Names to Label Columns used by api data set
PADD_NAMES = ['Date', 'Price']
# Series IDs
PADD_KEY = {'Daily':'NG.RNGWHHD.D ', 'Monthly':'NG.RNGWHHD.M', 'Yearly': '... | eacunagon/Natural-Gas-Prices | main.py | main.py | py | 1,127 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "requests.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 33,
"usage_type": "call"
}
] |
74636596833 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
@Author: Wenxuan Wu, Zhongang Qi, Li Fuxin.
@Contact: wuwen@oregonstate.edu
@File: eval_cls_conv.py
Modified by
@Author: Jiawei Chen, Linlin Li
@Contact: jc762@duke.edu
@File: k_eval_cls_conv.py
"""
import argparse
import os
import sys
import numpy as np
import pand... | ECE685-FinalProject/3D-object-recognition | k_eval_cls_conv.py | k_eval_cls_conv.py | py | 7,925 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
... |
42702881305 | import time
import logging
LOG = logging.getLogger(__name__)
def start():
while True:
LOG.info('hello, I love you.')
LOG.debug('debug , I hate you.')
LOG.warn('warn, I do not like you')
LOG.error('error, I fuck you')
time.sleep(1)
| AndreMouche/python-logdemo | logdemo/inner/heartbeat.py | heartbeat.py | py | 277 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 12,
"usage_type": "call"
}
] |
37870059486 | import os
from pydub import AudioSegment
from bewise_second.settings import BASE_DIR
def convert_to_mp3(audio_file):
"Конвектирует wav -> mp3"
audio_file = str(audio_file)
audio_name = '.'.join(audio_file.split('.')[:-1])
src = os.path.join(BASE_DIR, rf"media/{audio_name}.wav") # src to dst
dst ... | anton431/bewise_2 | bewise_second/index/utils.py | utils.py | py | 565 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.path.join",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "bewise_second.settings.BASE_DIR",
"line_number": 12,
"usage_type": "argument"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.path... |
16862918839 | from cliff import lister
from oio.cli.admin.common import ContainerCommandMixin
class ContainerVacuum(ContainerCommandMixin, lister.Lister):
"""
Vacuum (defragment) a database.
Execute the operation on the master service, then
resynchronize the database on the slaves.
"""
columns = ("Contai... | open-io/oio-sds | oio/cli/admin/item_vacuum.py | item_vacuum.py | py | 1,548 | python | en | code | 621 | github-code | 1 | [
{
"api_name": "oio.cli.admin.common.ContainerCommandMixin",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "cliff.lister.Lister",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "cliff.lister",
"line_number": 6,
"usage_type": "name"
},
{
"api... |
69800290914 | from django.contrib import admin
from django.urls import path, include, re_path
from . import views
urlpatterns = [
path('', views.index),
path('select_moive/', views.select_moive, name="select_moive"),
path('select_page/', views.select_page, name="select_page"),
path('select_contain/', views.select_co... | shaguahehehe/movie | moive_website/movie_detail/urls.py | urls.py | py | 471 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
33612373314 | import os
import pytest
import itertools
from openeis.applications.utest_applications.fixture_support import (project,
active_user,
create_dataset,
... | VOLTTRON/openeis | openeis/applications/utest_applications/utest_whole_building_energy_savings/conftest.py | conftest.py | py | 2,530 | python | en | code | 10 | github-code | 1 | [
{
"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.dirname",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "openeis.applications.utest_... |
27764367109 | """ Helper functions for parsing and preparing dataset from
the dateSet dataset
"""
from num2words import num2words
def dateSet_tuple_to_kvs(entry):
day, month, year = entry
assert day > 0 and day <= 31
assert month > 0 and month <= 12
assert year >= 2000 and year <= 2020
if day < 10:
day ... | JKinx/controlled-gen | data_utils/dateSet_helpers.py | dateSet_helpers.py | py | 2,518 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "num2words.num2words",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "num2words.num2words",
"line_number": 46,
"usage_type": "call"
}
] |
22738212406 | #!/usr/bin/env python
#coding=utf-8
"""
Created on Wed Apr 14 22:58:08 2021
@author: guoxiong
"""
import threading
import math
import numpy as np
from matplotlib import pyplot as plt
import rospy
import tf
from human_robot_transport.msg import Distance
arrayLength = 100
dist = np.zeros(arrayLength)
def dist_get_an... | guoxxiong/Human-Robot-Co-transporting-Simulation | src/human_robot_transport/scripts/noRunning/distance_plot.py | distance_plot.py | py | 2,292 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "numpy.zeros",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "tf.TransformListener",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "rospy.Publisher",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "human_robot_transpor... |
23996847342 | from django.http import HttpResponse
from django.shortcuts import render
MENU = {"главная стр.":"/", "каталог":"/catalog", "о приложении":"/about"}
def main_page(request):
title = "Главная страницп приложения"
data={"menu": MENU, "title": title}
return render(request, "./index.html", context=data)
#def c... | ivan431/PANEL_CATALOG_DJ | manage_panel_Template/manage_panel_Template/views.py | views.py | py | 693 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.shortcuts.render",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 19,
"usage_type": "call"
}
] |
32973406851 | from stock_paragraph import *
from fill_data_class import *
from functools import reduce
from alive_progress import alive_bar
from utils import *
import re
import os
import docx
from docx.shared import Pt
DEBUG = False
SAVE_PATH = os.path.join(os.path.join(os.environ['USERPROFILE']), 'Desktop', "Документы из программ... | ArkThem/EzDoc | main.py | main.py | py | 4,256 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.path.join",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "re.compile",
"line_numb... |
29634274791 | import sys
import threading
from colorama import Fore, Style,init
from utils import *
def animate(message):
for c in itertools.cycle(['|', '/', '-', '\\']):
if done:
break
print("\r"+Style.BRIGHT+Fore.GREEN+message+c+Fore.RESET, end="")
time.sleep(0.1)
def build(direc, port1, i... | DanyMilan23/BotAndroid | build.py | build.py | py | 3,022 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "colorama.Style.BRIGHT",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "colorama.Style",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "colorama.Fore.GREEN",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "co... |
25617604628 | import os
import pandas as pd
import numpy as np
from sklearn.metrics import auc, roc_curve
import xgboost as xgb
from sklearn.preprocessing import MinMaxScaler
base_path = os.path.dirname(os.path.abspath(__file__)) + "/../../data/o2o/"
dataset1 = pd.read_csv(base_path + 'data/dataset1.csv')
dataset1.label.replace(-1,... | littlemesie/tianchi | src/o2o/xgb02_model.py | xgb02_model.py | py | 3,354 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "os.path.dirname",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line... |
34597254850 | import numpy as np
import matplotlib.pyplot as plt
import scipy.spatial as spa
from scipy.stats import multivariate_normal
def main():
# TODO I have tested my algorithm on two different computers,
# TODO Algorithm's average run time: M1 Chip MBP -> 3 min. Intel Chip MBP -> 9 min.
# TODO Please do not term... | kaanturkmen/ENGR421-Machine-Learning | Homeworks/HW8-EM-Maximization-Clustering/engr421_hw08.py | engr421_hw08.py | py | 12,566 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 44,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.subplot",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "... |
29280991881 | from setuptools import setup, find_packages
# requirement file
with open('requirements.txt') as f:
required = f.read().splitlines()
# readme file
with open('README.md') as f:
readme = f.read()
setup(
name='textstada',
version='0.0.1',
description='No frills text data cleaning methods. Stada mean... | jhags/text-stada | setup.py | setup.py | py | 979 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "setuptools.setup",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 26,
"usage_type": "call"
}
] |
20509227195 | import copy
import numpy as np
from scipy.optimize import minimize
def objective_function_full(parameters: np.array, model, solution):
count = 0
for task in model.last_scenario.tasks:
if task != solution:
if model.comparison_function(parameters, task, solution) == solution:
... | QuimLaz/HackEPS | src/classes/selector.py | selector.py | py | 2,141 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "numpy.array",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "numpy.square",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "scipy.optimize.minimize",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "numpy.array",
... |
33519452722 | from functools import partial
from robotide.lib.robot.errors import VariableError
from robotide.lib.robot.utils import (is_dict_like, is_list_like, normalize,
RecommendationFinder)
def variable_not_found(name, candidates, msg=None, deco_braces=True):
"""Raise DataError for missing variab... | robotframework/RIDE | src/robotide/lib/robot/variables/notfound.py | notfound.py | py | 1,274 | python | en | code | 910 | github-code | 1 | [
{
"api_name": "functools.partial",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "robotide.lib.robot.utils.normalize",
"line_number": 16,
"usage_type": "argument"
},
{
"api_name": "robotide.lib.robot.utils.RecommendationFinder",
"line_number": 18,
"usage_type":... |
27060149406 | import os
import cv2
import timm
import torch
import numpy
import warnings
import pandas as pd
from tqdm import tqdm
import torch.nn as nn
import seaborn as sns
from scipy.stats import zscore
import matplotlib.pyplot as plt
import torch.nn.functional as F
from siren_pytorch import SirenNet
from sklearn.compose import C... | QLaHPD/V-Desafio-de-Ciencias-de-Dados-PUCGO | train_siren.py | train_siren.py | py | 4,013 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.utils.data.Dataset",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "skle... |
22427807825 | import logging as log
from common.config import DEFAULT_TABLE
from indexer.index import milvus_client, create_table, insert_vectors, create_index, has_table
from indexer.tools import connect_mysql, create_table_mysql, search_by_image_id, load_data_to_mysql
import datetime
import time
from indexer.logs import write_log
... | PKQ1688/image_retrieval | pic_search/src/service/insert.py | insert.py | py | 3,535 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "indexer.tools.search_by_image_id",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "indexer.index.has_table",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "indexer.index.create_table",
"line_number": 41,
"usage_type": "call"
},
{
... |
22542135612 | from torch.utils.data import Dataset
import numpy as np
# import main as env
import math
import pandas as pd
from sklearn.model_selection import train_test_split
import torch
from imblearn.over_sampling import SMOTE
from imblearn.combine import SMOTETomek
class SmartHomeDataset(Dataset):
def __init__(self, filen... | chameleonTK/continual-learning-for-HAR | smart_home_dataset.py | smart_home_dataset.py | py | 5,191 | python | en | code | 18 | github-code | 1 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.random.permutation",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "num... |
21035719383 | import collections
import datetime
import getpass
import grp
import io
import itertools
import logging
import operator
import os
import os.path
import pathlib
import shutil
import stat
import sys
import typing
from functools import partial
from typing import Optional, Union, Iterable, Iterator, TextIO, Tuple
import ji... | agdsn/hades | src/hades/config/generate.py | generate.py | py | 23,486 | python | en | code | 7 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "typing.Callable",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "jinja2.exceptions.FilterArgumentError",
"line_number": 84,
"usage_type": "call"
},
{
"api_... |
19998514733 | import sqlite3
import re
import jwt
import base64
from flask import request, make_response
from utils.util import f, secret_key
from flask_restful import Resource, reqparse
from flask_jwt_extended import jwt_required, get_jwt_identity
from models.user import UserModel
from models.card import CardModel
class Card(R... | 8426988382/secure_api | resources/card.py | card.py | py | 7,420 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask_restful.Resource",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "flask_restful.reqparse.RequestParser",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "flask_restful.reqparse",
"line_number": 17,
"usage_type": "name"
},
{
... |
34524998755 | # USAGE
# python gradient_descent.py
# import the necessary packages
import matplotlib.pyplot as plt
from sklearn.datasets.samples_generator import make_blobs
import numpy as np
import argparse
def sigmoid_activation(x):
return 1.0 / (1 + np.exp(-x))
def next_training_batch(X, y, batchSize):
for i in np.arange(... | huxiaoman7/learningdl | Chapter3/sgd/sgd.py | sgd.py | py | 1,991 | python | en | code | 256 | github-code | 1 | [
{
"api_name": "numpy.exp",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets.sampl... |
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