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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
26606119063 | #!/usr/bin/env python
# coding: utf-8
# # Import Library
# In[387]:
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from glob import glob
from sklearn.metrics import mean_absolute_error
from sklearn.linear_model import LinearRegression
from sklearn.linear_model import L... | tamerelateeq/Titanc | titank.py | titank.py | py | 8,173 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "pandas_profiling.ProfileReport",
"line_number": 101,
"usage_type": "call"
},
{
"api_name": "matpl... |
36060029870 | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
class LocalizationNetwork(nn.Module):
def __init__(self, numOfControlPoints=10):
super().__init__()
self.numOfControlPoints = numOfControlPoi... | xpiste05/knn_projekt | models/localizationNetwork.py | localizationNetwork.py | py | 1,925 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.device",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Module",
... |
32841420589 | import pandas as pd
import numpy as np
import pickle as pkl
import matplotlib.pyplot as plt
import re
import jieba
import subprocess
from gensim.test.utils import get_tmpfile, common_texts
from gensim.models import Word2Vec, KeyedVectors
from sklearn.metrics.pairwise import cosine_similarity
from sklearn.manifold impo... | kartd0094775/IdentifyKOL | util/preprocessing.py | preprocessing.py | py | 1,846 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "jieba.load_userdict",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_num... |
19617294623 | # _*_ coding: utf-8 _*_
import os
import csv
import time
import json
import logging
import numpy as np
import tensorflow as tf
from sklearn.metrics import auc, roc_curve
# calculate_auc : calculate AUC rate
def calculate_auc(labels, predicts):
fpr, tpr, _ = roc_curve(labels, predicts, pos_label=1)
AUC = auc(f... | wangcong15/go-clone | Go-CloneF/src/tfrecord2test.py | tfrecord2test.py | py | 15,894 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "sklearn.metrics.roc_curve",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.auc",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "tensorflow.to_float",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "ten... |
6575851777 | from time import sleep
from digitemp.master import UART_Adapter
from digitemp.device import DS18B20
import random
import asyncio
import logging
class TemperatureMonitor:
def __init__(self):
self.bus = UART_Adapter('/dev/ttyUSB0')
self.sensor = DS18B20(self.bus)
self.listeners = []
def... | SchrodingersCat00/vuurwachter | src/temp_monitor.py | temp_monitor.py | py | 1,091 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "digitemp.master.UART_Adapter",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "digitemp.device.DS18B20",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "asy... |
18164640711 | import pickle
import nltk
from nltk.corpus import stopwords
from nltk.stem import WordNetLemmatizer
# Download NLTK data (you only need to do this once)
nltk.download('stopwords')
nltk.download('wordnet')
# Load the trained model and vectorizer
with open('check_spam_classifier.pkl', 'rb') as clf_file:
... | GOVINDFROMINDIA/Twitter-Scam-Victims | dsg.py | dsg.py | py | 1,596 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "nltk.download",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "nltk.download",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number"... |
39729133373 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('store', '0010_auto_20151113_1608'),
]
operations = [
migrations.AddField(
model_name='review',
name=... | midnitehighways/shop | store/migrations/0011_review_author.py | 0011_review_author.py | py | 420 | python | en | code | 0 | github-code | 6 | [
{
"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.AddField",
"line_number": 14,
"usage_type": "call"
},
{
... |
36867613594 | from datetime import datetime
from sqlalchemy import Column, TIMESTAMP
class TimestampsMixin:
__abstract__ = True
__created_at_name__ = 'created_at'
__updated_at_name__ = 'updated_at'
__datetime_func__ = datetime.now()
created_at = Column(
__created_at_name__,
TIMESTAMP(timezone=... | siarie/fastapi-start | app/db/mixins.py | mixins.py | py | 581 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.... |
14555529648 | from time import sleep
import btc
import click
from core import BitcoinTwitterProfile
import schedule
@click.group()
def bitc0in_twitter():
"""
Syncs your twitter profile with bitcoin's volatility.
"""
@bitc0in_twitter.command()
def run():
"""Start Program"""
bitcoin_percent_change = btc.get... | dgnsrekt/bitc0in-twitter | bitc0in_twitter/cli.py | cli.py | py | 1,335 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "click.group",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "btc.get_percent_change",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "core.BitcoinTwitterProfile",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "btc.get... |
6401924379 |
# version: python 3.7
# zID: z5052292
from socket import *
from datetime import datetime
import time
import sys
serverIP = sys.argv[1]
serverPort = int(sys.argv[2])
clientSocket = socket(AF_INET, SOCK_DGRAM)
list_rtts = []
packets_lost = 0
for i in range(10):
time_stamp = datetime.now().isoformat(s... | YuanG1944/COMP9331-Computer-Networks-and-Applications | Lab2/PingClient_zhou.py | PingClient_zhou.py | py | 1,235 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",... |
10426011052 | """Conceptual model page."""
from django.db import models
from wagtail.core.models import Page
from wagtail.core.fields import RichTextField
from wagtail.admin.edit_handlers import FieldPanel
from wagtail.images.edit_handlers import ImageChooserPanel
class CMPage(Page):
template = "ecos_cm/cm_page.html"
E... | CNR-ISMAR/ecoads | ecos_cm/models.py | models.py | py | 1,600 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "wagtail.core.models.Page",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "django.db.models",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "... |
34600680585 | import numpy as np
import matplotlib.pyplot as plt
def sigmoid(Z):
"""sigmoid
Arguments:
Z {[np.array]} -- [Wx + b]
Returns:
A - [np.array] -- [1 / 1+exp(- Wx + b)]
cache - Z
"""
A = 1/(1+np.exp(-Z))
cache = Z
return A, cache
def relu(Z):
"""rectified linear unit
Arguments:
Z {[np.array]} --... | anantsrivastava30/deeplearning | dnn_utils.py | dnn_utils.py | py | 1,924 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "numpy.exp",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.maximum",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 72... |
38030500642 | import numpy as np
import matplotlib.pyplot as plt
from tqdm.auto import tqdm
"""
Reads Siemens rawdata file and returns the DICOs values
Author: Ali Aghaeifar <ali.aghaeifar@tuebingen.mpg.de>
"""
def read_dico(twixObj):
mdb_vop = [mdb for mdb in twixObj[-1]['mdb'] if mdb.is_flag_set('MDH_VOP')]
# concatenate... | aghaeifar-publications/RFPA_drift | dico_tools.py | dico_tools.py | py | 2,283 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tqdm.auto.tqdm",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.concatenate",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "tqdm.auto.tqdm",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.stack",
"li... |
29282262756 | # -*- coding: utf-8 -*-
import ispformat.schema as _schema
from jsonschema import Draft4Validator, RefResolver, draft4_format_checker
from jsonschema.exceptions import RefResolutionError, ValidationError
from urlparse import urlsplit
class MyRefResolver(RefResolver):
def resolve_remote(self, uri):
# Prev... | Psycojoker/isp-format | ispformat/validator/schemavalidator.py | schemavalidator.py | py | 4,121 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "jsonschema.RefResolver",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "jsonschema.exceptions.RefResolutionError",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "ispformat.schema.load_schema",
"line_number": 31,
"usage_type": "call"
}... |
41237359815 | import os, sys
import multiprocessing as mp
def pipeline(config, genome, protocol, cells, minreads, name, fq1, fq2, dir,
top_million_reads, step, parallel):
"""
Run the Data Processing Pipeline...
#. Stats and count the barcode from pair-end 1 sequences;
#. Read the barcode counts files;
... | beiseq/baseqDrops | package/baseqDrops/pipeline.py | pipeline.py | py | 6,329 | python | en | code | 13 | github-code | 6 | [
{
"api_name": "os.path.exists",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 65,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": ... |
31036723867 | '''
Source code modified from https://github.com/budzianowski/PyTorch-Beam-Search-Decoding/blob/master/decode_beam.py
implementation of beam search on GPT-2's logits
'''
import operator
import torch
import torch.nn as nn
import torch.nn.functional as F
from queue import PriorityQueue
import sys
class BeamSearchNode(... | HKUST-KnowComp/GEIA | decode_beam_search.py | decode_beam_search.py | py | 6,377 | python | en | code | 22 | github-code | 6 | [
{
"api_name": "torch.unsqueeze",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "torch.unsqueeze",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "torch.tensor",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "queue.PriorityQueue",
... |
50277551 | from typing import *
# ref https://leetcode.cn/problems/naming-a-company/solution/by-endlesscheng-ruz8/
from collections import defaultdict
class Solution:
def distinctNames(self, ideas: List[str]) -> int:
group = defaultdict(int)
for s in ideas:
group[s[1:]] |= 1 << (ord(s[0]) - ord... | code-cp/leetcode | solutions/6094/main.py | main.py | py | 1,093 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.defaultdict",
"line_number": 7,
"usage_type": "call"
}
] |
74492815226 | """Wrapper a los proceso de scrapping
"""
import tempfile
import os
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.common.desired_capabilities import DesiredCapabilities
# pylint: disable=unused-import
from scrapper.procesos.patentes_inpi_novedades import... | pmoracho/scrapper-2 | scrapper/scrapping.py | scrapping.py | py | 3,958 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.chrome.options.Options",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.common.desired_capabilities.DesiredCapabilities",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"lin... |
21669508962 | import requests
from common.log import GetLogger
log = GetLogger().get_logger()
class BaseRequest():
def __init__(self):
pass
def get(self,url,params=None,**kwargs):
try:
response=requests.get(url,params=params,**kwargs)
log.info("==========接口API请求开始===========")
... | menghuai1995/PythonAutoCode | API_Autotest/common/baseRequest.py | baseRequest.py | py | 1,787 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "common.log.GetLogger",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 23,
"usage_type": "call"
}
] |
10775113939 | import re
import os
from collections import Counter, defaultdict, namedtuple
from itertools import combinations, product
from pprint import pprint
from parse import parse, findall
from math import prod, sqrt
dirname = os.path.dirname(__file__)
data = open(f'{dirname}/21-input.txt').read().splitlines()
data = [parse('{}... | knjmooney/Advent-Of-Code | 2020/21-allergens.py | 21-allergens.py | py | 1,513 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.dirname",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "parse.parse",
"line_number": 10,
"usage_type": "call"
}
] |
37111986575 | #얘는 계속 실행이 되어야 해서, jupyter notebook에서는 안된다.
#이걸 하는 목적 : dialog flow로부터 데이터를 받아, 여기서 처리한 후 다시 dialog flow로 반환
#그걸 위해서는 json으로 리턴해야 한다.
import requests
import urllib
import IPython.display as ipd
import json
from bs4 import BeautifulSoup
from flask import Flask, request, jsonify
def getWeather(city) :
url = "ht... | ssh6189/2020.02.05 | server.py | server.py | py | 3,365 | python | ko | code | 0 | github-code | 6 | [
{
"api_name": "urllib.parse.quote_plus",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "urllib.parse",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "urllib.re... |
41794735960 | import datetime
import unittest
from pyspark import SparkConf
from pyspark.sql import SparkSession
import pyspark.sql.functions as f
from pyspark.sql.types import StructType, StructField, IntegerType, StringType, MapType, ArrayType
import json
import csv
from src.transformations import add_columns, running_total, gro... | SA01/spark-unittest-tutorial | tests/test_transformations.py | test_transformations.py | py | 13,745 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "pyspark.SparkConf",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder.master",
"line_number": 21,
"usage_type": "call"
},
{
"... |
71176383548 | import boto3, datetime, time
region = 'us-west-2'
accesskey = os.environ['ACCESSKEY']
secretkey = os.environ['SECRET_ACCESSKEY']
def send_firehose(message: str):
client = boto3.client('firehose', aws_access_key_id=accesskey, aws_secret_access_key=secretkey, region_name=region)
# Send message to firehose
respo... | kfunamizu/python_commonlib | firehose/src/firehose.py | firehose.py | py | 479 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "boto3.client",
"line_number": 9,
"usage_type": "call"
}
] |
12064640805 | """
A Module for Encrypt and Decrypt message
"""
import ReadWriteFileManagement
# Import the Fernet module
from cryptography.fernet import Fernet
DATABASE_DIR_PATH = "../../databases/chat_db/"
FILE_NAME = "encryptKey.key"
"""
A function for generating an encryption key.
the function generate the using Fernet class,... | RoyYotam/My-Chat | src/help classes/EncryptMessage.py | EncryptMessage.py | py | 2,030 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cryptography.fernet.Fernet.generate_key",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "cryptography.fernet.Fernet",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "ReadWriteFileManagement.create_chat_file",
"line_number": 23,
"usage_t... |
31973217705 | """filename and file size in file model
Revision ID: 6d23296b922b
Revises: 6ec29c8de008
Create Date: 2023-03-02 17:47:25.025321
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '6d23296b922b'
down_revision = '6ec29c8de008'
branch_labels = None
depends_on = None
... | synzr/file-transfer-service | migrations/versions/6d23296b922b_filename_and_file_size_in_file_model.py | 6d23296b922b_filename_and_file_size_in_file_model.py | py | 952 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "alembic.op.batch_alter_table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.... |
2931948188 | from typing import Dict
from network.api.base import BaseRepository
import re
from http.cookies import SimpleCookie
import dukpy
import requests
import http.client
from network.api.base_mainpage_cookies_loader import BaseMainPageCookiesLoader
IPP_JS_PATH = 'resources/ipp.js'
class PagesRepository(BaseRepository, Bas... | Emperator122/dns-shop_price_comparator | network/api/pages.py | pages.py | py | 2,270 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "network.api.base.BaseRepository",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "network.api.base_mainpage_cookies_loader.BaseMainPageCookiesLoader",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 14,
"usag... |
20794460102 | import numpy as np
import matplotlib.pyplot as plt
x = []; y = []
for i in range(100):
x.append(np.sin(np.pi/48*i))
y.append(2-2*np.cos(np.pi/48*i))
plt.plot(x, y)
plt.show()
| duynamrcv/mpc_ros | test.py | test.py | py | 185 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "numpy.sin",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "numpy.cos",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 7,
"... |
12701288482 | from collections import deque
import sys
d = deque()
n = int(sys.stdin.readline().rstrip())
for i in range(n):
order = sys.stdin.readline().rstrip().split()
a = order[0]
if a == "push":
d.append(order[1])
elif a == "pop":
if d:
print(d.popleft())
else:
p... | MinChoi0129/Algorithm_Problems | BOJ_Problems/18258.py | 18258.py | py | 647 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.stdin.readline",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "sys.stdin.readline",... |
73886255546 | import psycopg2
import os
import http.server
import socketserver
import logging
import sys
class IndexHandler(http.server.SimpleHTTPRequestHandler):
def do_GET(self):
self.path = 'index.html'
return http.server.SimpleHTTPRequestHandler.do_GET(self)
print("start app")
app_port = os.environ.get("A... | hed854/tp3-kubernetes | frontend/app.py | app.py | py | 978 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "http.server.server",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "http.server",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "http.server.server.SimpleHTTPRequestHandler.do_GET",
"line_number": 12,
"usage_type": "call"
},
{
... |
73510645947 | from collections import defaultdict
N = int(input())
for i in range(N):
forwared = defaultdict(int)
reverse = defaultdict(int)
m,n= map(int,input().split())
nums = []
ans = 0
for i in range(m):
temp = list(map(int,input().split()))
nums.append(temp)
for i in range(m):
... | yonaSisay/a2sv-competitive-programming | xsum.py | xsum.py | py | 627 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.defaultdict",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 5,
"usage_type": "call"
}
] |
2046128502 | import os
import sys
RASE_DIR = os.path.dirname(os.path.abspath(__file__))
sys.path.append(RASE_DIR)
import time
import threading
from verify import Verify
from scrapy import cmdline
from multiprocessing import Process
from Bearcat_ProxyPool.settings import SPIDER_TIME
curPath = os.path.abspath(os.path.dirname(__file... | yuzhiyizhan/Bearcat_ProxyPool | main.py | main.py | py | 1,261 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "os.path.dirname",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line... |
8454082456 | from uuid import uuid4
from sqlalchemy import text
from critique_wheel.adapters.sqlalchemy import iam_repository
from critique_wheel.critiques.models.critique import Critique
from critique_wheel.members.models.IAM import MemberStatus
from critique_wheel.members.value_objects import MemberId
from critique_wheel.works.... | davidjnevin/ddd_critiquewheel | critique_wheel/tests/integration/test_IAM_repository.py | test_IAM_repository.py | py | 4,132 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "critique_wheel.members.value_objects.MemberId",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "critique_wheel.adapters.sqlalchemy.iam_repository.SqlAlchemyMemberRepository",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "critique_wheel.adapter... |
18525593045 | import argparse
import os
import mmcv
import torch
from mmcv.runner import get_dist_info, init_dist, load_checkpoint
from drp.apis import set_random_seed, single_gpu_test
from drp.datasets import build_dataloader, build_dataset
from drp.models import build_model
from drp.datasets.pipelines.utils import get_weight
... | yivan-WYYGDSG/AGMI | tools/test.py | test.py | py | 3,775 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 44,
"usage_type": "attribute"
},
{
"api_name": "mmcv.Config.f... |
26986918036 | # -*- coding: utf-8 -*-
import base64
import pytest
from nameko_grpc.headers import (
HeaderManager,
check_decoded,
check_encoded,
comma_join,
decode_header,
encode_header,
filter_headers_for_application,
sort_headers_for_wire,
)
class TestEncodeHeader:
def test_binary(self):
... | nameko/nameko-grpc | test/test_headers.py | test_headers.py | py | 6,536 | python | en | code | 57 | github-code | 6 | [
{
"api_name": "nameko_grpc.headers.encode_header",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "base64.b64encode",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "nameko_grpc.headers.encode_header",
"line_number": 26,
"usage_type": "call"
},
{
... |
5200005552 | """
The production code for predicting smell events and sending push notifications
(sending push notifications requires the rake script in the smell-pittsburgh-rails repository)
"""
import sys
from util import log, generateLogger, computeMetric, isFileHere
import pandas as pd
from getData import getData
fro... | CMU-CREATE-Lab/smell-pittsburgh-prediction | py/prediction/production.py | production.py | py | 10,561 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "util.generateLogger",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "util.log",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "util.log",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"li... |
911733982 | import pdfplumber
import os,re
file_path = "/home/FDDC_announcements_round2_train_pdf/"
def pdf_tbl2txt(file):
pdf = pdfplumber.open(file_path + "my.pdf")
for i in pdf.pages:
# page = pdf.pages[0]
# i.extract_table()
if i.find_tables(table_settings={}):
i.crop(boundiipng_bo... | YankeeMarco/aliyun-FDDC-2018-Financial-Challenge- | pdf_to_text_with_table_tags.py | pdf_to_text_with_table_tags.py | py | 322 | python | en | code | 14 | github-code | 6 | [
{
"api_name": "pdfplumber.open",
"line_number": 6,
"usage_type": "call"
}
] |
7705288630 | import json
import torch
from transformers import GPT2Tokenizer
from transformers import GPT2DoubleHeadsModel
from MTDNN import MTDNN
from tqdm import trange, tqdm
from keras_preprocessing import sequence
import pandas as pd
import Utils
import pickle
import os
from torch.utils.data import TensorDataset, Dat... | anandhperumal/ANA-at-SemEval-2020-Task-4-UNION | MTD-NCH.py | MTD-NCH.py | py | 19,668 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "torch.utils.tensorboard.SummaryWriter",
"line_number": 24,
"usage_type": "call"
},
{
... |
34042438403 | from django.db.models import Q
from django_filters.rest_framework import DjangoFilterBackend
from rest_framework.decorators import action
from rest_framework.response import Response
from rest_framework.viewsets import ModelViewSet
from gcloud.core.apis.drf.exceptions import ValidationException
from gcloud.core.apis.d... | caiyj/bk-sops | gcloud/label/viewsets.py | viewsets.py | py | 4,792 | python | en | code | null | github-code | 6 | [
{
"api_name": "iam.contrib.drf.shortcuts",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "gcloud.iam_auth.get_iam_client",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "gcloud.core.apis.drf.viewsets.ApiMixin",
"line_number": 18,
"usage_type": "name"... |
31011028990 | """
Name: Timothy James Duffy, Kevin Falconett
File: metrics.py
Class: CSc 483; Spring 2023
Project: TextSummarizer
Provides methods to calculate the ROUGE metric and print the results.
"""
# Filter tensorflow warnings.
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
from database import *
from rouge import Rouge
... | tjdaz/TextSummarizer | metrics.py | metrics.py | py | 2,310 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "config.DATABASE_NAME",
"line_number": 22,
"usage_type": "argument"
},
{
"api_name": "database.get_data",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "summarizer... |
26113055515 | __authors__ = ["T. Vincent"]
__license__ = "MIT"
__date__ = "28/06/2018"
import logging
import numpy
import weakref
import functools
from typing import Optional
from ....utils.weakref import WeakList
from ... import qt
from .. import items
from ..items import core
from ...colors import rgba
logger = logging.getLog... | silx-kit/silx | src/silx/gui/plot/items/_roi_base.py | _roi_base.py | py | 27,769 | python | en | code | 106 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "items.ItemChangedType",
"line_number": 61,
"usage_type": "attribute"
},
{
"api_name": "functools.partial",
"line_number": 179,
"usage_type": "call"
},
{
"api_name": "items... |
24528285056 | import concurrent.futures
import logging
import time
def thread_function(name):
logging.info("Thread %s: starting", name)
time.sleep(2)
logging.info("Thread %s: finishing", name)
class FakeDatabase:
def __init__(self):
self.value = 0
def update(self, name):
logging.info("Thread ... | hiddenxx/Scripts | Learning/LearningThreads.py | LearningThreads.py | py | 1,819 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "logging.info",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 1... |
70777980988 | import random
import re
import matplotlib.pyplot as plt
import numpy as np
import tensorflow as tf
from keras.preprocessing.text import Tokenizer
import torch
def transform_to_index_tensor(pairs,rus_w2i,en_w2i,device):
rus_tensor = []
en_tensor = []
for word in range(len(pairs[0])):
en_tensor.appe... | stefanos50/Seq2Seq-Machine-Translation | DataPreprocessing.py | DataPreprocessing.py | py | 4,664 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "random.sample",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 89,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 90,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.hist",
"line_number... |
13301085850 | import requests
from prettytable import PrettyTable
#write this into terminal if using linux or cmd if using windows
#pip3 install Prettytable requests
city = input('Enter City => ')#City name here
api = "your api here"#api of https://openweathermap.org get urs from the website
response = requests.get(f"http:... | xavian1996/weatherpy | main.py | main.py | py | 1,968 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "prettytable.PrettyTable",
"line_number": 35,
"usage_type": "call"
}
] |
23210233427 | import pandas as pd
from morpheus import SequentialComposition, ParallelComposition
from morpheus.algo.selection import base_selection_algorithm, random_selection_algorithm
from morpheus.utils.encoding import *
from morpheus.utils import debug_print
from sklearn.datasets import make_classification
from sklearn.model_... | eliavw/morpheus | src/morpheus/tests/basics.py | basics.py | py | 7,311 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sklearn.datasets.make_classification",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 37,
"usage_type": "call"
... |
4534058436 | #!/usr/bin/env python
# -*- coding: UTF-8 -*-
import SPARQLWrapper
# REF [site] >> https://sparqlwrapper.readthedocs.io/en/latest/main.html
def select_example():
sparql = SPARQLWrapper.SPARQLWrapper("http://vocabs.ardc.edu.au/repository/api/sparql/csiro_international-chronostratigraphic-chart_geologic-time-scale-202... | sangwook236/SWDT | sw_dev/python/ext/test/database/sparqlwrapper_test.py | sparqlwrapper_test.py | py | 7,970 | python | en | code | 17 | github-code | 6 | [
{
"api_name": "SPARQLWrapper.SPARQLWrapper",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "SPARQLWrapper.JSON",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "SPARQLWrapper.SPARQLWrapper",
"line_number": 34,
"usage_type": "call"
},
{
"api... |
16292938825 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Mar 11 14:27:38 2021
@author: maximelucas
"""
import numpy as np
import matplotlib.pyplot as plt
rho_max=250
v_max=130
long=1000
A=150
B=40000
ga=[0 for i in range(B)]
gb=[0 for i in range(B)]
rho0=[200 for i in range(A//5)]+[0 for i in range(4*A//5)]... | Maksime0/Mod-lisation-et-mesures-pour-le-trafic-routier | Documents annexes/Godonov/godonov_anime.py | godonov_anime.py | py | 1,309 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.sqrt",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 62,
"usage_type": "name"
}
] |
74787884667 | # This file is part of "Junya's self learning project about Neural Network."
#
# "Junya's self learning project about Neural Network"
# is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the L... | junyakaneko/learning-and-neural-network | chapter3/problem1.py | problem1.py | py | 3,651 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "numpy.exp",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplot",
"li... |
8927199604 | import contextlib
import os
import shutil
import tempfile
import mandrel
import unittest
class TestCase(unittest.TestCase):
def assertIs(self, a, b):
# python 2.6/2.7 compatibility
self.assertTrue(a is b)
@contextlib.contextmanager
def tempdir(dir=None):
"""Context manager that yields a tempor... | ethanrowe/python-mandrel | mandrel/test/utils.py | utils.py | py | 1,612 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.path.expanduse... |
73676828986 | import serial,os,sys
ser = serial.Serial('/dev/ttyAMA1', 115200)
drawPath = "/home/ubuntu/my_ws/src/test_odom_rap/drawLcd/drawLcd.py"
byte_list = [0x55, 0x0E, 0x01, 0x02,
int(0 / 256), int(0 % 256),
0,0,
0,0,
0, 0, 1]
k = 0
for i in range(l... | caiyilian/INTELLIGENT-FOOD-DELIVERY-ROBOT | 树莓派代码/drawLcd/auto_startup.py.py | auto_startup.py.py | py | 1,524 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "serial.Serial",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "os.popen",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.popen",
"line_number": 36,
... |
18023127994 | import os
import sqlite3
import shutil
import sys
import psutil
def is_browser_running(browser_name):
for process in psutil.process_iter():
try:
if browser_name in process.name().lower():
return True
except (psutil.NoSuchProcess, psutil.AccessDenied, psutil.ZombieProcess... | KIMJOONSIG/Reboot3 | Linux/p3_BrowserHistory.py | p3_BrowserHistory.py | py | 2,892 | python | ko | code | 0 | github-code | 6 | [
{
"api_name": "psutil.process_iter",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "psutil.NoSuchProcess",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "psutil.AccessDenied",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": ... |
29716875304 | from basePlayer import BasePlayer
import itertools
from math import inf
from random import choice
import numpy as np
from generals import State
import pickle
from minimaxPlayer import MinMaxPlayer
from generals import PlayerEnum
from game import Board
from game import Controller
from generals import g
f... | Gbor97/TicTacToe | SVMPlayer.py | SVMPlayer.py | py | 5,736 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "basePlayer.BasePlayer",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "basePlayer.BasePlayer.__init__",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "basePlayer.BasePlayer",
"line_number": 29,
"usage_type": "name"
},
{
"api_na... |
36180496136 | """
Zimri Leisher and Luca Araujo
Codeforces database, API and web app
"""
import sys
import traceback
import psycopg2
import json
import config
import flask
from collections import defaultdict
api = flask.Blueprint('api', __name__)
def get_connection():
return psycopg2.connect(database=config.database,
... | LucaDantas/cs257 | webapp/api.py | api.py | py | 13,186 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Blueprint",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "psycopg2.connect",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "config.database",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "config.user",
... |
10062234348 | import dataclasses
import logging
import typing
import httpx
from sequoia.exceptions import DiscoveryResourcesError, DiscoveryServicesError, ResourceNotFound, ServiceNotFound
logger = logging.getLogger(__name__)
__all__ = ["Resource", "ResourcesRegistry", "Service", "ServicesRegistry"]
@dataclasses.dataclass
clas... | pikselpalette/sequoia-python-client-sdk-async | sequoia/types.py | types.py | py | 3,925 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "sequoia.exceptions.ResourceNotFound",
"line_number": 33,
"usage_type": "call"
},
{
"a... |
30578251026 | import logging
import itertools
import math
import sys
import collections
import datetime
import shutil
import click
from .status import JobStatus, JOB_EVENT_STATUS_TRANSITIONS
logger = logging.getLogger(__name__)
logger.setLevel(logging.DEBUG)
SYMBOLS = [" ", "I", "R", "X", "C", "H", "S"]
STATUS_TO_SYMBOL = dict(... | JoshKarpel/condor_necropsy | condor_necropsy/state_graph.py | state_graph.py | py | 5,724 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "status.JobStatus",
"line_number": 18,
"usage_type": "argument"
},
{
"api_name": "collections... |
39830489884 | from collections import deque
def solution(n, info):
answer = []
diff = 0
queue = deque()
queue.append((0, [0,0,0,0,0,0,0,0,0,0,0]))
while queue:
idx, arr = queue.popleft()
# 화살을 전부 쐈을경우
if sum(arr) == n:
# 어피치와 라이언 점수 체크
apeach, lion = 0, 0
... | omg7152/CodingTestPractice | kakaoBlindRecruitment2022/Q4.py | Q4.py | py | 2,081 | python | ko | code | 0 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 7,
"usage_type": "call"
}
] |
21160883826 | import os
import math
import torch
import pytorch_lightning as pl
import torch.nn.functional as F
import torch.nn as nn
from numpy import sqrt, argmax
from torch.optim import lr_scheduler
from .model import CNN
import numpy as np
import pandas as pd
from sklearn.metrics import roc_curve, confusion_matrix, roc_auc_sco... | Junkkkk/ovarian_cancer_detection | models/lightning_model.py | lightning_model.py | py | 12,263 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pytorch_lightning.LightningModule",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "model.CNN",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "model.CNN",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "model.CNN"... |
32059806236 | #!/usr/bin/env python3
"""
led.py
Notes
-----
- Docstrings follow the numpydoc style:
https://numpydoc.readthedocs.io/en/latest/format.html
- Code follows the PEP 8 style guide:
https://www.python.org/dev/peps/pep-0008/
"""
import RPi.GPIO as GPIO
from time import sleep
import logging
import constants as c
LED_OU... | Hasan-Baig/SYSC3010_Home_Pixel | lightclapper/led.py | led.py | py | 2,584 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "constants.LED_OFF",
"line_number": 55,
"usage_type": "attribute"
},
{
"api_name": "RPi.GPIO.setmode",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "RPi.GPIO",
"line_number": 56,
"usage_type": "name"
},
{
"api_name": "RPi.GPIO.BCM",
"... |
40128251295 | """
http://www.sphinx-doc.org/en/stable/ext/doctest.html
https://github.com/sphinx-doc/sphinx/blob/master/sphinx/ext/doctest.py
* TODO
** CLEANUP: use the sphinx directive parser from the sphinx project
"""
import doctest
import enum
import re
import sys
import textwrap
import traceback
from pathlib import Path
from t... | thisch/pytest-sphinx | src/pytest_sphinx.py | pytest_sphinx.py | py | 20,904 | python | en | code | 27 | github-code | 6 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "io.StringIO",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "enum.Enum",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
... |
10808451041 | from typing import Dict, Tuple
from AnalysisOfUnstructuredData.helpers.hsc.publisher import Publisher
class PublisherRelation:
titles_types: Dict[str, str]
_id: Tuple[int, int]
def __init__(self, publisher_1: Publisher, publisher_2: Publisher):
self.publisher_1 = publisher_1
self.publis... | TheDecks/Studies | AnalysisOfUnstructuredData/helpers/hsc/relation.py | relation.py | py | 1,688 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.Dict",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "AnalysisOfUnstructuredData.helpers.hsc.publisher.Publisher",
"line_number": 11,
"usage_type": "name"
},
{
... |
40319717427 | from ansible.module_utils.basic import AnsibleModule
from ansible_collections.ansibleguy.opnsense.plugins.module_utils.base.handler import \
module_dependency_error, MODULE_EXCEPTIONS
try:
from ansible_collections.ansibleguy.opnsense.plugins.module_utils.base.api import single_post
from ansible_collection... | ansibleguy/collection_opnsense | plugins/modules/system.py | system.py | py | 2,071 | python | en | code | 158 | github-code | 6 | [
{
"api_name": "ansible_collections.ansibleguy.opnsense.plugins.module_utils.base.handler.MODULE_EXCEPTIONS",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "ansible_collections.ansibleguy.opnsense.plugins.module_utils.base.handler.module_dependency_error",
"line_number": 12,
"u... |
4456513686 | from dataclasses import dataclass
from fnmatch import fnmatch
from typing import cast, Optional
from urllib.parse import urljoin
from .config import Config
from .download import DownloaderMixIn, HTTPXDownloaderMixIn
from .exceptions import (
ArbitrarySoftwareAttack,
DownloadNotFoundError,
EndlessDataAttack... | trishankatdatadog/tuf-on-a-plane | src/tuf_on_a_plane/repository.py | repository.py | py | 18,018 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "models.common.Filepath",
"line_number": 48,
"usage_type": "name"
},
{
"api_name": "models.metadata.TargetFile",
"line_number": 49,
"usage_type": "name"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 46,
"usage_type": "name"
},
{
"api_name"... |
11322722554 | from keras.models import *
from keras.layers import *
from model.model_basic import BasicDeepModel
from keras.utils.vis_utils import plot_model
from keras import regularizers
dp = 7
filter_nr = 64
filter_size = 3
max_pool_size = 3
max_pool_strides = 2
dense_nr = 256
spatial_dropout = 0.2
dense_dropout = 0.5
conv_kern... | nlpjoe/daguan-classify-2018 | src/model/dpcnn_model.py | dpcnn_model.py | py | 5,042 | python | en | code | 154 | github-code | 6 | [
{
"api_name": "keras.regularizers.l2",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "keras.regularizers",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "keras.regularizers.l2",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "keras.... |
22906645455 | import xlrd
class XLDateInfo(object):
def __init__(self, path=''):
self.xl = xlrd.open_workbook(path)
self.sheet = None
def get_sheet_info_by_name(self, name):
self.sheet = self.xl.sheet_by_name(name)
return self.get_sheet_info()
def get_sheet_info(self):
infolist... | weijianhui011/uploadfile | public/read_excel.py | read_excel.py | py | 659 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "xlrd.open_workbook",
"line_number": 6,
"usage_type": "call"
}
] |
30980414030 | from matplotlib.pyplot import draw
import pygame
from pygame.locals import *
pygame.init()
pygame.mixer.init()
# set screen resolution
resolution = (725,725)
# open a screen of above resolution
screen = pygame.display.set_mode(resolution)
# storing screen variable values
width = screen.get_width()
height = screen.... | jessica-leishman/high-rollers | analysis_static/manual slices/hrStatic4.py | hrStatic4.py | py | 2,135 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.init",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.mixer.init",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pygame.mixer",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.set_mode"... |
27959320759 | import os
from os import getenv
from dotenv import load_dotenv
load_dotenv()
# FOR CODES
API_ID = int(getenv("API_ID","2302493"))
API_HASH = getenv("API_HASH","1bf8344851a88633343fde339f2eee20")
SUDO_USERS = list(map(int, getenv("SUDO_USERS", "5366284852").split()))
LOGGER = int(getenv("LOGGER","-1001804302628"))... | Anirudh1212121/DcSpamBot | config.py | config.py | py | 899 | python | en | code | null | github-code | 6 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": ... |
31350011958 | import unittest
from seleniumwire import webdriver
from webdriver_manager.chrome import ChromeDriverManager
from selenium.webdriver.common.by import By
#This code uses the google chrome browser to conduct a single test on the python.org website
#It uses the website search bar to search for "pycon"
# Selenium installa... | Kitchlew/Summer | SQA/sel.py | sel.py | py | 1,254 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "seleniumwire.webdriver.Chrome",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "seleniumwire.webdriver",
"line_number": 14,
"usage_type": "name"
},
{
"api_n... |
16407449430 | import mysql.connector
import csv
import matplotlib.pyplot as plt
import matplotlib
from matplotlib import colors as mcolors
import datetime
import nltk
from nltk.sentiment.vader import SentimentIntensityAnalyzer
colors = dict(mcolors.BASE_COLORS, **mcolors.CSS4_COLORS)
# Sort colors by hue, saturation, value and n... | natashaarmbrust/github-sentiment | pr_sentiments.py | pr_sentiments.py | py | 3,745 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.colors.BASE_COLORS",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.colors",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "matplotlib.colors.CSS4_COLORS",
"line_number": 10,
"usage_type": "attribute"
},
... |
10136905988 | import cv2 as cv
import copy
import numpy as np
from matplotlib import pyplot as plt
img = cv.imread("/home/arkaprabha/CViiing/photos/cameron.jpeg")
cv.imshow("image",img)
def reframe(frame=None,scale=0.75):
width= int(frame.shape[1] + scale)
height = int(frame.shape[0] + scale)
dimen = (width,height)
... | ArkaprabhaChakraborty/CViiing | python/basics.py | basics.py | py | 4,193 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "cv2.imread",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.resize",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.INTER_AREA",
"line_number": 13... |
36615991000 | import asyncio
import logging
import random
import sys
from time import sleep
def run_async():
async def mytask(tid: str):
n = random.randint(1, 3)
for i in range(n):
logging.info(f"task {tid} {i} of {n}")
await asyncio.sleep(1)
logging.info(f"finished {tid} {n}")
... | wwagner4/pymultiworker | tryout.py | tryout.py | py | 1,397 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "random.randint",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "asyncio.sleep",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_nu... |
9887556442 | import cv2, sys, time
def start_split(filename):
start = time.time()
video = cv2.VideoCapture(filename)
if not video:
print("无法读取视频文件")
sys.exit(1)
count = 0
while video.isOpened():
print("\r正在处理第{0}帧图像".format(count), end="")
ret, frame = video.read()... | Temperature6/BadAppleVideoProcess | VideoSplit.py | VideoSplit.py | py | 825 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "time.time",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 18... |
27322987878 | from __future__ import print_function, division, absolute_import, unicode_literals
import logging
import os
from inspect import isclass
from tempfile import NamedTemporaryFile
from collections import OrderedDict
from fontTools.misc.py23 import tobytes, tounicode, UnicodeIO
from fontTools.feaLib.parser import Parser
fr... | Torneo-Tipografico-Comunidad/Torneo-2020 | Calmadita /05_SOURCES/sources/venv/lib/python3.7/site-packages/ufo2ft/featureCompiler.py | featureCompiler.py | py | 10,497 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "fontTools.misc.py23.tounicode",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "ufo2ft.featureWriters.ast.FeatureFile",
"line_number": 32,
"usage_type": "call"
},
{
... |
26260800957 | import pygame
class Item:
def __init__(self, image, x, y, id, player):
self.image = pygame.image.load(image)
self.x, self.y = x, y
self.player = player
self.id = id
def draw(self, screen):
screen.blit(self.image, (self.x, self.y))
def onPlayerCollision(self):
pygame.mixer.music.load("other\... | SeaPickle754/zeldaish | item.py | item.py | py | 588 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.image.load",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "pygame.mixer.music.load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pygame.mixe... |
20546789103 | import discord
from discord.ext import commands
from discord.ext.commands import Command
from chime.main import prefix
from chime.misc.CustomCommand import CustomCommand
from chime.misc.StyledEmbed import StyledEmbed
class EmbedHelpCommand(commands.HelpCommand):
"""This is an example of a HelpCommand that utiliz... | realmayus/chime | chime/cogs/HelpCommandCog.py | HelpCommandCog.py | py | 4,233 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "discord.ext.commands.HelpCommand",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "discord.colour.Color.from_rgb",
"line_number": 23,
"usage_type": "call"
},
... |
19202891943 | #!/usr/bin/python3
"""
A module that include the parent class Basemodel
"""
import models
from datetime import datetime
from uuid import uuid4
class BaseModel:
"""
class BaseModel that defines all common attributes/methods
for other classes.
"""
def __init__(self, *args, **kwargs):
"""
... | sanotogii/AirBnB_clone | models/base_model.py | base_model.py | py | 2,261 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "uuid.uuid4",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.... |
18801821077 | import requests
requests.packages.urllib3.disable_warnings() # noqa
url = "https://api.github.com/repos/milvus-io/milvus/actions/workflows"
payload = {}
token = "" # your token
headers = {
"Authorization": f"token {token}",
}
response = requests.request("GET", url, headers=headers, data=payload)
def analysis_w... | milvus-io/milvus | tests/python_client/chaos/scripts/workflow_analyse.py | workflow_analyse.py | py | 1,895 | python | en | code | 24,190 | github-code | 6 | [
{
"api_name": "requests.packages.urllib3.disable_warnings",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "requests.packages",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "requests.request",
"line_number": 11,
"usage_type": "call"
},
{
"... |
29285921224 | from rply import LexerGenerator # type: ignore
# lexer for the "calc" command
lg = LexerGenerator()
lg.add('NUMBER', r'[0-9]+[\.]?[0-9]*') # number token
lg.add('ADDITION', r'\+') # operator tokens
lg.add('SUBTRACTION', r'-')
lg.add('MULTIPLICATION', r'\*')
lg.add('EXPONENT', r'\^')
lg.add('DIVISION', r'\/')
lg.add(... | Chrovo/Productivity | cogs/utils/lexer.py | lexer.py | py | 582 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rply.LexerGenerator",
"line_number": 4,
"usage_type": "call"
}
] |
22021920480 | '''
Jessica Dutton
Store Manager (user entity)
'''
from google.cloud import datastore
from flask import Blueprint, Flask, request, make_response
import json
import constants
from google.oauth2 import id_token
from google.auth.transport import requests
client = datastore.Client()
bp = Blueprint('store_manager', __nam... | jdutt25/dvd_store | store_manager.py | store_manager.py | py | 1,310 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "google.cloud.datastore.Client",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "google.cloud.datastore",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "flask.Blueprint",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "... |
3670374638 | import math
from collections import defaultdict
from typing import Union, Callable, Tuple, List
import gevent
from gevent.queue import Queue
from requests import PreparedRequest, Response
from lib.utils.logger import Logger
from lib.utils.request_helper import RequestHelper, RequestInfo
class BaseFinder(RequestHelp... | medalahonor/suseeker | lib/finders/base_finder.py | base_finder.py | py | 13,362 | python | ru | code | 3 | github-code | 6 | [
{
"api_name": "lib.utils.request_helper.RequestHelper",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "collections.defaultdict",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "lib.utils.request_helper.RequestInfo",
"line_number": 21,
"usage_type": "n... |
24847039251 | import pygame
class Character():
"""Create a character - inherits from the Sprite class"""
def __init__(self, screen, game_settings):
self.screen = screen
self.settings = game_settings
# Load the character image and get its rect
self.image = pygame.image.load("images... | YorkshireStu83/Flatpormer | character.py | character.py | py | 2,187 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.image.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 11,
"usage_type": "attribute"
}
] |
36807817632 | import numpy as np
from scipy import signal
from scipy.signal import butter, lfilter
def createSpec(signals, sr, n_channels=22):
# Reference: https://github.com/MesSem/CNNs-on-CHB-MIT, DataSetToSpectrogram
n_channels = min(n_channels, 22)
for channel in range(n_channels):
y = signals[channel]
... | koike-ya/eeglibrary | eeglibrary/src/chb_mit_cnn_spectrogram.py | chb_mit_cnn_spectrogram.py | py | 1,357 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "scipy.signal.spectrogram",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "scipy.signal",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "numpy.delete",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.s_",
"li... |
8017799306 | import tkinter as tk
from tkinter import ttk
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
from matplotlib.figure import Figure
import numpy as np
class GraphPlt():
def __init__(self):
"""インスタンス化。Figureの作成
"""
self.fig = Figure(figsize=(6,6))
def plt(self, title="plot... | komepi/komepiTkinter | komepiTkinter/GraphPlt.py | GraphPlt.py | py | 6,239 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.figure.Figure",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tkinter.Toplevel",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "tkinter.Tk",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "tkinter.Frame",
... |
71781182589 | import glob
import os
from datetime import datetime
import cv2
# isResize = False
isResize = True # change this to False, if resize is not required
images = []
image_src_folder = "images"
files = glob.glob(image_src_folder+"/*")
for file in files:
print(f"Processing: {os.path.basename(file)}")
if file.endswi... | yptheangel/opencv-starter-pack | python/examples/image_stitching/stitching.py | stitching.py | py | 1,349 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "glob.glob",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.basename",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "cv2.imread",
"line_number... |
1698064062 | import pygame
# define constants for the window size and stack element size
ELEMENT_WIDTH = 50
ELEMENT_HEIGHT = 200
# initialize Pygame
pygame.init()
# create a window
window = pygame.display.set_mode((1000, 500))
# define a font to use for displaying the stack elements
font = pygame.font.Font(None, 36)
# define a... | Dhivyno/Programming-projects | All files/test.py | test.py | py | 2,005 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "pygame.init",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pygame.font.Fo... |
26922909604 | """
Imports the various compute backends
"""
from typing import Set
from ..exceptions import InputError, ResourceError
from .cfour import CFOURHarness
from .dftd3 import DFTD3Harness
from .entos import EntosHarness
from .gamess import GAMESSHarness
from .molpro import MolproHarness
from .mopac import MopacHarness
fro... | ChemRacer/QCEngine | qcengine/programs/base.py | base.py | py | 2,624 | python | en | code | null | github-code | 6 | [
{
"api_name": "exceptions.InputError",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "exceptions.ResourceError",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "typing.Set",
"line_number": 72,
"usage_type": "name"
},
{
"api_name": "typing.Set"... |
10795571321 | """
作为初始代码，目标是有的一个固定大小的球，给定一个初识速度，和一个固定阻力，演示球运动的过程。每一个循环的时间与现实时间一致。
从最初代码开始演示如何一步步完善代码最终完成功能的过程。
"""
import sys, pygame
import os.path
import random
import time
import math
#pygame.font.init()
#myfont = pygame.font.SysFont('Comic Sans MS', 30)
def hit_A(x, y):
return y <= 10
def hit_B(x, y):
return x >= 590
... | sillyemperor/pygame-study | rebound-ball-walls.py | rebound-ball-walls.py | py | 1,622 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.path.dirname",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "os.path.path.abspath",... |
24657079519 | from django.contrib import admin
from django.urls import reverse
from django.utils.html import format_html
from django.utils.safestring import mark_safe
from django.utils.translation import ugettext_lazy as _
from . import models
import json
# Register your models here.
class BaseAdmin(admin.ModelAdmin):
list_p... | leafcoder/django-covid19 | django_covid19/admin.py | admin.py | py | 3,276 | python | en | code | 155 | github-code | 6 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "django.utils.translation.ugettext_lazy",
"line_number": 34,
"usage_type": "call... |
36396180382 | from ast import Lambda
from itertools import groupby
import pandas as pd
import pymysql
from pyecharts.charts import Bar, Line, Pie
from pyecharts import options as opts
conn = pymysql.connect(host="localhost", user="root",
passwd="123456", port=3306, db="591")
cursor = conn.cursor()
sql = 'se... | dichotomania/project | visual.py | visual.py | py | 5,336 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pymysql.connect",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.read_sql",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pyecharts.charts.Bar",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pyecharts.options... |
14564990421 | import numpy as np
from IO.Pinocchio.ReadPinocchio import mf
import matplotlib.pyplot as plt
# Box Size
boxsize = 150.0
aux = mf("../TestRuns/pinocchio.1.9775.example.mf.out", "mf")
mf0 = mf("../TestRuns/pinocchio.1.9775.example.catalog.out", "catalog", 64, boxsize)
mf0.dndm_teo = np.interp(mf0.m, aux.m, aux.dndm_t... | TiagoBsCastro/PITILESS-SLICER | Test/test_mf.py | test_mf.py | py | 657 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "IO.Pinocchio.ReadPinocchio.mf",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "IO.Pinocchio.ReadPinocchio.mf",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.interp",
"line_number": 10,
"usage_type": "call"
},
{
"api_name":... |
39122258660 | from service_info import dp, bot, greeting, download_url, path_to_file_url, PhotoStatesGroup, dict_config, lang_dict
import aiohttp
from visor import tess_visor, easy_visor, keras_visor
from aiogram import types, executor
from keyboards import type_kb, lang_kb
from aiogram.dispatcher import FSMContext
import logging
im... | dfgion/VisorBot | bot.py | bot.py | py | 4,388 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.info",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "aiogram.types.Message",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "aiogram.types",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "logging.info",
... |
13303759601 | import requests, asyncio
from app import ACCESS_TOKEN, PYONET_API_URL, db
from app.tools.p3log import P3Log
class Poller:
def __init__(self):
self.p3log = P3Log("poller.log")
self.poll_task = None
self.devices = []
async def test_access_token(self):
try:
... | treytose/Pyonet-Poller | pyonet-poller/app/libraries/libpoller.py | libpoller.py | py | 2,336 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "app.tools.p3log.P3Log",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "app.PYONET_API_URL",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "app.ACCESS_TOKEN... |
19346820391 | from pyparsing import FollowedBy
import tweepy
from app.config import TWITTER_API_KEY,TWITTER_API_KEY_SECRET,get_logger
class TwitterAPI:
def __init__(self,access_token,access_token_secret) -> None:
self.api_key = TWITTER_API_KEY
self.api_key_secret = TWITTER_API_KEY_SECRET
self.access_toke... | Socialet/web-backend | app/services/api/twitterAPI.py | twitterAPI.py | py | 9,191 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "app.config.TWITTER_API_KEY",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "app.config.TWITTER_API_KEY_SECRET",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "app.config.get_logger",
"line_number": 11,
"usage_type": "call"
},
{
"... |
7725611508 | import itertools
def det_4x4(matrix):
if len(matrix) != 4 or len(matrix[0]) != 4:
raise ValueError("A matriz não é 4x4")
indices = [0, 1, 2, 3]
permuta = itertools.permutations(indices)
det = 0
for perm in permuta:
sinal = 1
for i in range(4):
for j in range(i + ... | AlexApLima/CalculoDeterminantesLeibniz | CalFormula.py | CalFormula.py | py | 903 | python | pt | code | 0 | github-code | 6 | [
{
"api_name": "itertools.permutations",
"line_number": 7,
"usage_type": "call"
}
] |
31356519066 | import pygame
import sys
# 게임 창 크기 설정
screen_width = 800
screen_height = 600
# 버튼 클래스 정의
class Button:
def __init__(self, x, y, width, height, idle_image, hover_image):
self.rect = pygame.Rect(x, y, width, height)
self.idle_image = idle_image
self.hover_image = hover_image
self.ima... | frogress/prac_pygame | opentutorials/chatgpt.py | chatgpt.py | py | 2,576 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.Rect",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pygame.MOUSEMOTION",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "pygame.MOUSEBUTTONDOWN",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "pygam... |
37841455471 | import logging
logger = logging.getLogger()
logger.setLevel(level="DEBUG")
logging.Formatter
# 创建文本处理器
file_handle = logging.FileHandler("./log.txt", mode="a", encoding="utf-8")
file_handle.setLevel(level="ERROR")
logger.addHandler(file_handle)
fmt = "%(name)s--->%(message)s--->%(asctime)s"
logging.basicConfig(level... | amespaces/pythonProject | common/创建文件处理器.py | 创建文件处理器.py | py | 552 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "logging.Formatter",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "logging.FileHandler",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.bas... |
1544268645 |
import itertools
def test(kenken_grid):
n = kenken_grid[0][0]
dom = []
for i in range(n):
dom.append(i + 1)
vars = []
for i in dom:
for j in dom:
vars.append('V{}{}'.format(i, j))
cons = []
for i in range(n):
vars_row = vars[(i * n): ((i + 1) * n)]
... | monkeykingg/projects | 3rd_year/csc384/A2/sol/test.py | test.py | py | 691 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "itertools.combinations",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "itertools.combinations",
"line_number": 27,
"usage_type": "call"
}
] |
70740769147 | from __future__ import print_function
import torch
def diff_mse(x, y):
x_vec = x.view(1, -1).squeeze()
y_vec = y.view(1, -1).squeeze()
return torch.mean(torch.pow((x_vec - y_vec), 2)).item()
def ax_plus_b_vector(x, weight, bias):
return weight.mm(x).add(bias)
def ax_plus_b_scalar(x, weight, bias, ... | IvanProdaiko94/UCU-deep-learning-homework | layers/utilities.py | utilities.py | py | 1,222 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "torch.mean",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.pow",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.zeros",
"line_number": 32,
"usage_type": "call"
}
] |
72757283709 | """
Utilities I can't put anywhere else...
"""
import time
from math import copysign, gcd
from copy import copy
import sys
import numpy as np
import datetime
import functools
def true_if_answer_is_yes(prompt=""):
invalid = True
while invalid:
x = input(prompt)
x = x.lower()
if x[0] =... | ahalsall/pysystrade | syscore/genutils.py | genutils.py | py | 11,815 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "copy.copy",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "math.copysign",
"line_number": 144,
"usage_type": "call"
},
{
"api_name": "numpy.isnan",
"line_number": 169,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": ... |
28521323695 | """change precision of order amount
Revision ID: fb84527fc0b3
Revises: 5c6f2d25c2f0
Create Date: 2018-04-07 18:51:12.160012+00:00
"""
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import mysql
# revision identifiers, used by Alembic.
revision = 'fb84527fc0b3'
down_revision = '5c6f2d25c2f0'
... | harveyslash/backend-cleaned | beatest/migrations/versions/20180407185112_fb84527fc0b3_change_type_of_order_amount.py | 20180407185112_fb84527fc0b3_change_type_of_order_amount.py | py | 1,011 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "alembic.op.alter_column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.dialects.mysql.DECIMAL",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "... |
12940606913 | import json
import logging
import avro.schema
from avro.datafile import DataFileWriter
from avro.io import DatumWriter
# Login config
logging.basicConfig(
filename='writer.log',
filemode='w',
format='%(asctime)s - %(levelname)s - %(message)s',
level=logging.INFO
)
# read records from sample_dat... | jocerfranquiz/avro_test | write_avro.py | write_avro.py | py | 1,116 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "logging.error",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "avro.schema.schema... |
74473909946 | from datetime import date
from django.test import Client
from django.test import TestCase
from django.urls import resolve
from .views import index, mhs_name, calculate_age
class Lab1UnitTest(TestCase):
def test_hello_name_is_exist(self):
response = Client().get('/lab-1/')
self.assertEqual(respon... | argaghulamahmad/ppw-lab-arga | lab_1/tests.py | tests.py | py | 1,752 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.test.TestCase",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.test.Client",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.urls.resolve",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "views.ind... |
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