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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
7316418502 | '''
Module used to extract syntactic features from a given corpus.
'''
import spacy
import pandas as pd
from .lexical_features import jaccard_coefficient
def compute_pos(pipe_tags):
""" Function used to compute the POS-tags difference between two sentences in the corpus """
tags = ['adj', 'adv', 'art', 'conj-c', ... | NLP-CISUC/ASAPPpy | ASAPPpy/feature_engineering/syntactic_features.py | syntactic_features.py | py | 2,339 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "pandas.DataFrame",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "spacy.load",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "lexical_features.jaccard_coefficient",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "pand... |
35348545183 | import pandas as pd
import numpy as np
from datetime import time
import matplotlib.pyplot as plt
import statsmodels.api as sm
import seaborn as sns
sns.set_style("whitegrid")
def volume_order_imbalance(data, kws):
drop_first = kws.setdefault("drop_first", True)
current_bid_price = data['bid1_price']
bi... | Me2yhm/Algorithmic-Trading | AlgorithmicStrategy/SnapShot/analysis_unit.py | analysis_unit.py | py | 5,566 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "seaborn.set_style",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_numb... |
27619247302 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import os
from collections import defaultdict
import argparse
import pprint as pp
import numpy as np
np.seterr(divide='ignore', invalid='ignore')
import re
import matplotlib.pyplot as plt
import random
from matplotlib import style
style.use('ggplot')
import ... | mariejal/projetal | project_bis.py | project_bis.py | py | 22,176 | python | fr | code | 0 | github-code | 21 | [
{
"api_name": "numpy.seterr",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.style.use",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "matplotlib.style",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "argparse.ArgumentPa... |
40065097207 | from typing import Type
import numpy as np
import requests
import tensorflow as tf
import tensorflow_datasets as tfds
from mldiag.services import Service
def txt_tfds_to_numpy(
dataset: tf.data.Dataset
):
for datapoint in list(tfds.as_numpy(dataset)):
data, label = datapoint
print(data.s... | S-AI-F/MLDiag-1 | mldiag/wrappers.py | wrappers.py | py | 1,520 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "tensorflow.data",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "tensorflow_datasets.as_numpy",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.vectorize",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "num... |
71342052853 | import numpy as np
import matplotlib.pyplot as plt
def main():
# normal equation for Linear Regression
x = 2 * np.random.rand(100, 1) # it returns an array of 100 rows; 1 column
y = 4 + 3 * x + np.random.randn(100, 1) # distribute as "normal random numbers" instead of "equal random numbers"
"""plt.s... | dy0703/pycharm | Data Analysis/Machine Learning/Chap_4.py | Chap_4.py | py | 14,890 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.random.rand",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.randn",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.random",
... |
32501010708 | # Exploit Title: Apache Superset < 0.23 - Remote Code Execution
# Date: 2018-05-17
# Exploit Author: David May (david.may@semanticbits.com)
# Vendor Homepage: https://superset.apache.org/
# Software Link: https://github.com/apache/incubator-superset
# Version: Any before 0.23
# Tested on: Ubuntu 18.04
# CVE-ID: CVE-201... | ryanmrestivo/red-team | _Resources/Exploit DB 2021-12-11/exploits/linux/webapps/45933.py | 45933.py | py | 3,427 | python | en | code | 91 | github-code | 21 | [
{
"api_name": "sys.argv",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 37... |
70676215414 | # Import pandas
import pandas as pd
# Import required sklearn moduels
from sklearn.model_selection import ShuffleSplit
from sklearn.model_selection import cross_val_score
from sklearn.ensemble import RandomForestClassifier
from sklearn.preprocessing import StandardScaler
# Read data into a dataframe object called data... | HarryAmmon/IntelligentSystemsCoursework | submit/solution.py | solution.py | py | 1,358 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.StandardScaler",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sklearn.ensemble.RandomForestClassifier",
"line_number": 23,
"usage_type": "call"
... |
10909400300 | from matplotlib import pyplot as plt
import camera
import cv2
# %% save rectified self-taken images for demonstration
images = range(1, 4)
for img in images:
root = './data/'
img1 = cv2.imread(f'{root}{img}_left.png', 0)
img2 = cv2.imread(f'{root}{img}_right.png', 0)
img1_rectified = cv2.remap(img1... | csl122/Stereo-Matching | tools.py | tools.py | py | 2,311 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "cv2.imread",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.remap",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "camera.left_map1",
"line_number":... |
70909124532 | import pandas as pd
import numpy as np
import xgboost as xgb
from sklearn.model_selection import StratifiedKFold,train_test_split
from sklearn.metrics import f1_score
train_data = pd.read_csv('./cache/train_data_new.csv',index_col=0)
val_data = pd.read_csv('./cache/val_data_new.csv',index_col=0)
test_data = pd.read_c... | dayL-W/Tianchi-OGeek | xgb.py | xgb.py | py | 3,865 | python | en | code | 6 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"lin... |
25538198657 | import unittest
from flask import Flask
from crypto_blueprint import crypto_blueprint
from cryptos import Bitcoin
app = Flask(__name__)
app.register_blueprint(crypto_blueprint)
c = Bitcoin(testnet=True)
class TestGetUtxos(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.test_client = app.tes... | CryptoMexFund/steal_btc | backend/tests/test_get_utxos.py | test_get_utxos.py | py | 1,420 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "crypto_blueprint.crypto_blueprint",
"line_number": 7,
"usage_type": "argument"
},
{
"api_name": "cryptos.Bitcoin",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "unitte... |
75213105333 | #!/usr/bin/python3
"""module inserts state Louisiana into the db"""
import sys
from model_state import Base, State
from sqlalchemy import (create_engine)
from sqlalchemy.orm import sessionmaker
if __name__ == "__main__":
uname = sys.argv[1]
pswd = sys.argv[2]
dname = sys.argv[3]
conn_str = 'mysql+mysq... | cmiltone/alx-higher_level_programming | 0x0F-python-object_relational_mapping/11-model_state_insert.py | 11-model_state_insert.py | py | 667 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.argv",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "sqlalchemy.create_engine",
... |
23133941302 | from typing import List
class Solution:
def minOperations(self, logs: List[str]) -> int:
cur = 0
for log in logs:
if log.startswith('../'):
cur -= 1
elif log.startswith('./'):
cur += 0
else:
cur += 1
cu... | chengcct/Algorithmic-exercises | leetcode/1598. 文件夹操作日志搜集器.py | 1598. 文件夹操作日志搜集器.py | py | 446 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
}
] |
33898110633 | from typing import TYPE_CHECKING, Any, Dict, List, Type, TypeVar, Union
import attr
from ..models.shipping_speed_category import ShippingSpeedCategory
from ..types import UNSET, Unset
if TYPE_CHECKING:
from ..models.address import Address
from ..models.feature_settings import FeatureSettings
from ..model... | milyord/sp-api | sp/fulfillment_outbound_2020_07_01/models/get_fulfillment_preview_request.py | get_fulfillment_preview_request.py | py | 7,546 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "typing.TypeVar",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"li... |
10451667212 | # 15900
import sys
input = sys.stdin.readline
from collections import deque
def bfs(N,start):
q = deque([start])
visited = [0] * (N+1)
visited[start] = 1
l_s = 0
length = 1
count = 0
level = 1
isLeaf = 0
while q:
curNode = q.popleft()
count += 1
for nextNo... | inkyu0103/BOJ | Tree/15900.py | 15900.py | py | 1,109 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.stdin",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 7,
"usage_type": "call"
}
] |
15464692037 | import time
import os
import logging
from logging.handlers import BaseRotatingHandler
from gunicorn.glogging import Logger as GLogger
from gunicorn import util
try:
import codecs
except ImportError:
codecs = None
class MultiProcessSafeDailyRotatingFileHandler(BaseRotatingHandler):
"""Similar with `loggin... | BJUT-hammer/hammer_backend | hammer_api/utils/log_handler.py | log_handler.py | py | 3,174 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "logging.handlers.BaseRotatingHandler",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "logging.handlers.BaseRotatingHandler.__init__",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "logging.handlers.BaseRotatingHandler",
"line_number": 25,
... |
39401985131 | #!/usr/bin/python3
import argparse
import configparser
import datetime
import sys
def is_a_year(value):
value = value.rstrip("'") # remove primes
return len(value) == 4 and all((c in "0123456789") for c in value)
def is_a_date(value):
if value == "None":
return True
try:
datetime.... | pscl4rke/uk-national-calendar | scripts/validate.py | validate.py | py | 3,161 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "configparser.ConfigParser",
"line_number": 26,
"usage_type": "call"
},
{
"api_n... |
6782380699 | #!/usr/bin/env python
# -*-coding:utf-8-*-
"""
@File : run.py
@Author: Ezreal
@Date : 2019-01-27 3:05
@Desc :
"""
import requests
from flask_cors import CORS
from flask import Flask, render_template, jsonify, request
from random import randint
app = Flask(__name__,
static_url_path="",
stat... | kucoll/flask-vue-simple | run.py | run.py | py | 1,031 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "flask.request.values.get",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "flask.requ... |
23719032446 | from flask import Blueprint, render_template, request, redirect, url_for
from app.merchandise.models import Merchandise
blueprint = Blueprint('merchandise', __name__)
@blueprint.get("/edit_item/<id>")
def show_edit_item(id):
item = Merchandise.query.filter_by(id=id).first()
return render_template("merchandise... | yvetteachiengatieno/FOUNDATION-BACKEND | app/merchandise/routes.py | routes.py | py | 2,182 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Blueprint",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "app.merchandise.models.Merchandise.query.filter_by",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "app.merchandise.models.Merchandise.query",
"line_number": 8,
"usage_type... |
38356174996 | import sys
from functools import reduce
match = { ')': '(', ']': '[', '}': '{', '>': '<' }
open = list(match.values())
match = {**match, **{v:k for k,v in match.items()}}
points_illegal = { ')': 3, ']': 57, '}': 1197, '>': 25137}
points_autocomplete = { ')': 1, ']': 2, '}': 3, '>': 4 }
lines = [[c for c in line.str... | deepakjois/advent-of-code-2021 | day10/day10.py | day10.py | py | 954 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.stdin",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "functools.reduce",
"line_number": 28,
"usage_type": "call"
}
] |
27662661216 | from .src import MALICIOUS_PATHS as _MALICIOUS_PATHS, BOTS_PATH as _BOTS_PATH, BOTS_AGENT as _BOTS_AGENT
from .src import SEARCH_ENGINE_AGENT as _SEARCH_ENGINE_AGENT
from .utils import url_decode as _url_decode
import importlib.resources as _importlib_resources
from . import lists as _lists
from math import log2 as _lo... | MartinMerkli/httpanalyzer | src/httpanalyzer/__init__.py | __init__.py | py | 4,236 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "src.BOTS_AGENT",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "utils.url_decode",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "src.BOTS_PATH",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "importlib.resources.rea... |
5510352507 |
#!/usr/bin/python3
#import json
#file_contents = json.loads(open('post_index.json','r').read())
import os
import re
import oauth
import json
from json import JSONDecoder, JSONEncoder
import time
from selenium import webdriver
from selenium.webdriver.common.action_chains import ActionChains
import bs4
opts = webdri... | MinsuKim123/crawler | egloosreader.py | egloosreader.py | py | 13,710 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "json.JSONDecoder",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "... |
39544017305 | from datetime import datetime
from typing import List
from pytz import utc
from mlo.pets.PetService import PetService
from mlo.user.UserService import UserService
class ResultsPrioritization:
def __init__(self, petService: PetService, userService: UserService):
self.pets = petService
self.... | GeorgeJuniorGG/Miaudote | app/mlo/petsearch/resultsPrioritization.py | resultsPrioritization.py | py | 4,094 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "mlo.pets.PetService.PetService",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "mlo.user.UserService.UserService",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 14,
"usage_type": "name"
},
{
"api_nam... |
1354089998 | import cmd
from typing import Optional
import pynames
from pynames.generators.elven import *
from pynames.generators.iron_kingdoms import *
from pynames.generators.orc import *
from pynames.generators.goblin import *
from pynames.generators.mongolian import *
from pynames.generators.korean import *
from pynames.genera... | Werozel/python-vcs-2022 | 04_MergetoolCommandline/name_generator.py | name_generator.py | py | 6,202 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.Optional",
"line_number": 44,
"usage_type": "name"
},
{
"api_name": "pynames.GENDER",
"line_number": 57,
"usage_type": "attribute"
},
{
"api_name": "cmd.Cmd",
"line_number": 60,
"usage_type": "attribute"
},
{
"api_name": "pynames.LANGUAGE",
... |
376681095 | import os
import sys
import re
import json
import datetime
import requests
from tqdm import tqdm
from ast import literal_eval
def log(message):
refreshLog = os.path.join(os.getcwd(), "serviceAggProc.log")
with open(refreshLog, 'a') as logMessage:
logMessage.write('%s - %s\n' % (str(datetime.datetime.no... | UGA-ITOSHumanitarianGIS/mapservicedoc | Scripts/ITOSMapServicesGeoJson.py | ITOSMapServicesGeoJson.py | py | 4,160 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "os.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line... |
2043768336 | import collections
import logging
import os
import subprocess
import threading
logger = logging.getLogger(__name__)
class ReaderThread(threading.Thread):
def __init__(self, process, stream, name):
super(ReaderThread, self).__init__()
self.stream = stream
self.process = process
sel... | kkckkc/webpagetest-python-agent | client/process.py | process.py | py | 2,307 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "subprocess.C... |
27050920244 | # consume.py
import pika, os
# Access the CLODUAMQP_URL environment variable and parse it (fallback to localhost)
url = os.environ.get('CLOUDAMQP_URL', 'amqps://xlvhonqr:8imUt-lRT9eb1BGTdu1kY9zfBYot8YD2@toad.rmq.cloudamqp.com/xlvhonqr')
params = pika.URLParameters(url)
connection = pika.BlockingConnection(params)
chan... | zGuil/ac04-arquitetura | parte01/receber_mensagem.py | receber_mensagem.py | py | 748 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.environ.get",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "pika.URLParameters",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pika.BlockingConnectio... |
7329023750 | from __future__ import division, print_function
import numpy as np
from collections import namedtuple
########################
# Directed graph inference
RandomVariable = namedtuple("RandomVariable", [
"name",
"domain",
])
class QueryMixin(object):
@property
def variable_names(self):
return ... | aleveren/ucsd-research | misc_2017_fall/belief_propagation/belief_propagation.py | belief_propagation.py | py | 8,045 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.namedtuple",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 137,
"usage_type": "call"
},
{
"api_name": "... |
32731081026 | #!pip install yfinance
import yfinance as yf # https://pypi.org/project/yfinance/
import math
### the meaning of prediction about stock market
from numpy.core.numeric import ones_like
import random
import matplotlib.pyplot as plt
import seaborn as sns
import datetime
# get data by ticker-name, start-time & e... | mellowLoveGH/FinTech_for_stock_market_01 | stocks_analyze_predict/analyze_stock01.py | analyze_stock01.py | py | 3,786 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "yfinance.download",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "matplo... |
75097680053 | """
Client to access a MySQL database.
"""
import os
from pathlib import Path
from typing import List
import mysql.connector
from backend.dataclasses import User, Measurement
from dotenv import load_dotenv
load_dotenv(dotenv_path=Path(__file__).parent.parent.parent.parent / '.env')
class DbClient(object):
def... | nsaintgeours/demo-py-app | backend/src/backend/db_client.py | db_client.py | py | 3,143 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_numbe... |
5752788583 | from configparser import ConfigParser
import matplotlib.pylab as plt
import numpy as np
def get_strings_section(config, section):
"""
Get config file options from section containing strings.
:param config: ConfigParser object.
:param section: Name of the section to be read.
"""
options = ... | alexdiem/vampy | vampy/utils.py | utils.py | py | 2,340 | python | en | code | 21 | github-code | 21 | [
{
"api_name": "numpy.array",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "configparser.ConfigParser",
"line_number": 50,
"usage_type": "call"
}
] |
70046011254 | from pytest import raises as assert_raises
from bundlebuilder.constants import (
DESCRIPTION_MAX_LENGTH,
REVISION_MIN_VALUE,
SHORT_DESCRIPTION_LENGTH,
TLP_CHOICES,
SCHEMA_VERSION,
)
from bundlebuilder.exceptions import ValidationError
from bundlebuilder.models import (
Bundle,
Sighting,
... | CiscoSecurity/tr-05-ctim-bundle-builder | tests/unit/models/primary/test_bundle.py | test_bundle.py | py | 6,198 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "bundlebuilder.constants.DESCRIPTION_MAX_LENGTH",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "bundlebuilder.constants.DESCRIPTION_MAX_LENGTH",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "pytest.raises",
"line_number": 48,
"usage_t... |
31830641193 | from urllib.request import urlopen
import json
token = "YOU TOKEN"
group_id = "ID"
def count_user():
url = "https://api.vk.com/method/groups.getById.json?group_ids=" + group_id + "&fields=members_count&access_token=" + token + "&v=5.52"
response = urlopen(url)
data = response.read()
jsn = json.loads(d... | tarbagan/VK_user_group | VK_user_group.py | VK_user_group.py | py | 1,119 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "urllib.request.urlopen",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "urllib.request.urlopen",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "json.loads",
... |
3082043770 | from django import forms
from reports.models import Region
from django.core.exceptions import ValidationError
class RegionForm(forms.ModelForm):
class Meta:
model = Region
def clean(self):
super(RegionForm, self).clean()
location = self.cleaned_data.get('location')
name = self... | mahammed1991/repo-crm | reports/forms.py | forms.py | py | 1,035 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "reports.models.Region",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "reports.m... |
282504196 | import pygame
class Bola:
def __init__(self, tipo, vetor, campo):
self.tipo = tipo
self.vetor = vetor # lista com a velocidade x e y
self.imagem = pygame.image.load("bola.png")
self.imagem = pygame.transform.scale(self.imagem, [30, 30])
self.bola = self.imagem.get_rect()
... | MateusRosario/PingPongSimpleGame | Bola.py | Bola.py | py | 3,740 | python | pt | code | 0 | github-code | 21 | [
{
"api_name": "pygame.image.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pygame.transform.scale",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygame.transf... |
11161894556 | from django import forms
from timesheets.models import TaskTime
from django.utils import timezone
class Task_Timer_Form(forms.ModelForm):
class Meta:
model = TaskTime
fields = ("job_code", "ancillary_code", "description", "elapsed_time")
widgets = {
"job_code": forms.Select(
... | timotiousPrime/MacTrack | timesheets/forms.py | forms.py | py | 1,143 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "timesheets.models.TaskTime",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "djan... |
13738311992 | import os
import shutil
import torch
import random
import numpy as np
import torch.backends.cudnn as cudnn
def create_folder(directory) :
#---# create folder #---#
try :
if not os.path.exists(directory) :
os.makedirs(directory)
except OSError :
print("Error: Creating directory"... | S0-HYUN/XAI623 | utils.py | utils.py | py | 1,438 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.exists",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_num... |
3644312957 | from unittest.mock import MagicMock
from flask import Blueprint, Flask
from src.modules.auth.auth_service import AuthService
from src.modules.auth.protected_endpoint_decorator import create_protected_endpoint_decorator
def dummy_handler(_auth_service, _request, function, *args, **kwargs):
# Just pass arguments ... | Ksisu/example_flask_app | tests/unit/modules/auth/test_unit_create_protected_endpoint_decorator.py | test_unit_create_protected_endpoint_decorator.py | py | 2,207 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "src.modules.auth.protected_endpoint_decorator.create_protected_endpoint_decorator",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "src.modules.auth.auth_service.AuthService",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "flask.Blueprint",
... |
33099202320 | import numpy
import pandas
import matplotlib.pyplot as pyplot
from typing import Callable
from typing import List
import numpy
from typing import Callable, List
import pandas
from matplotlib import pyplot
# Define the main function for calculating moving averages
def moving_average_calculator(input_stock_prices, movi... | wasimnoordin/EntroPy | src/mov_avg.py | mov_avg.py | py | 12,460 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.Callable",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "pandas.Series",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "pandas.DataFrame",
... |
6557418688 | import time
import sys
import math
import json
import threading
from collections import defaultdict, namedtuple
from salvo.pgbar import AnimatedProgressBar
RunStats = namedtuple(
"RunStats",
["count", "total_time", "rps", "avg", "min", "max", "amp", "stdev", "rpm"],
)
def print_errors(errors, stream=sys.st... | tarekziade/salvo | salvo/output.py | output.py | py | 4,553 | python | en | code | 211 | github-code | 21 | [
{
"api_name": "collections.namedtuple",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "collections.defaultdict",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "collec... |
70619767094 | # train.py
import time
import config
import dataset
import engine
import torch
import pandas as pd
import numpy as np
import torch.nn as nn
from model import BERTBaseUncased
from sklearn import model_selection
from sklearn import metrics
from transformers import AdamW
from transformers import get_linear_schedule_with_... | LakshyaMalhotra/toy-projects-nlp | imdb-sentiment-analysis/bert-models/train.py | train.py | py | 4,273 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "dataset.BERTDataset",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "dataset.BERTDataset",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "torch.utils.data.DataLoader",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "t... |
13719788564 | """
Default configuration for AlgoBOWL
----------------------------------
Configuration in this file is overridden by the paste config.
"""
import tg
from depot.manager import DepotManager
from markupsafe import Markup
from repoze.who.interfaces import IChallenger
from tg.configuration import AppConfig, milestones
fro... | jackrosenthal/algobowl | algobowl/config/app_cfg.py | app_cfg.py | py | 4,279 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "tg.configuration.AppConfig",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "algobowl.model",
"line_number": 54,
"usage_type": "name"
},
{
"api_name": "algobowl.model.DBSession",
"line_number": 55,
"usage_type": "attribute"
},
{
"api_name"... |
73874926774 |
import logging
import threading
from decimal import Decimal
from datetime import datetime
import boto3
from Thermostat import Mode
import config
class StatusWriter():
def __init__(self, thermostat):
self.thermostat = thermostat
thermostat.notify(self)
self.event_write_timer = None
... | garret-smith/chat-o-stat | StatusWriter.py | StatusWriter.py | py | 2,105 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "boto3.resource",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "config.status_table_name",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "threading.Timer",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "config.s... |
358838328 | import datetime
def dates_between(start, end):
r = (end+datetime.timedelta(days=1)-start).days
return [start+datetime.timedelta(days=i) for i in range(r)][1:-1]
def months_between(start, end):
dates = dates_between(start, end)
months = ["%d-%d" % (start.year, start.month),
"%d-%d" % (end.year, end.month)]
f... | zmcghee/filmlog | filmlog/utils.py | utils.py | py | 451 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "datetime.timedelta",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 5,
"usage_type": "call"
}
] |
21881154328 | #! coding:-utf8-
from django import template
from django.core.exceptions import ObjectDoesNotExist
from avrora.catalog.models import Category
from avrora.catalog.models import Product
from avrora.catalog.utils import get_current_product_category
register = template.Library()
@register.inclusion_tag('catalog/breadcrum... | ebezmenov/avrora | core/templatetags/avrora_tags.py | avrora_tags.py | py | 2,372 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "django.template.Library",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "avrora.catalog.models.Category",
"line_number": 14,
"usage_type": "argument"
},
{
"api_name... |
10349202336 | from django.urls import path
from .import views
urlpatterns = [
path('home', views.home, name="home"),
path('', views.loginUser, name="login"),
path('salon', views.salon, name="salon"),
path('register', views.register, name="register"),
path('post_salon', views.sendsalon, name="post_salon"),
pa... | Reine222/exoChannel | tchat/koz/urls.py | urls.py | py | 377 | python | en | code | 0 | github-code | 21 | [
{
"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",
... |
27503324440 | import unittest
from bs4 import BeautifulSoup
import os
from repositories import Repositories
class RepositoriesTest(unittest.TestCase):
def setUp(self) -> None:
dir = os.path.dirname(__file__)
filename = os.path.join(dir, "mocks", "repositories-result-ok.html")
text = open(filename)
... | julietavuan/redpoints | tests/testRepositories.py | testRepositories.py | py | 933 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "unittest.TestCase",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
... |
70380426294 | import pprint
import re
import json
import itertools
from collections import Counter
from train_model import class_names
# # clean the json file from empty entries
# with open("recipes/recipes_raw_nosource_ar.json", "r") as f:
# json_data = json.load(f)
# empty_keys = []
# for k, v in json_data.items():
# if ... | maksytka03/tensorflowFoodAndRecipe | get_recipes.py | get_recipes.py | py | 2,649 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "json.load",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "train_model.class_names",
"line_number": 33,
"usage_type": "name"
}
] |
22071278235 | # imports
import warnings
warnings.filterwarnings('ignore')
import os, cv2, shutil, json
import numpy as np, pandas as pd, pickle as pkl
from glob import glob
from time import time
from datetime import datetime
from tqdm import tqdm
from sklearn.metrics import precision_recall_curve, average_precision_score, accurac... | ambareeshravi/Content-based-Visual-Media-Retrieval | training/Conv2D_LSTM/.ipynb_checkpoints/conv2d_lstm-checkpoint.py | conv2d_lstm-checkpoint.py | py | 7,952 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "keras.applications.mobilenet.MobileNet",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "keras.models.Model",
"line_number": 41,
"usage_type": "call"
},
{
"... |
22050134749 | import numpy as np
import cv2
import os
import matplotlib
import matplotlib.pyplot as plt
from matplotlib import rcParams
import random
import copy
class Dataset(object):
def __init__(self, satellite):
# target satellite
self.satellite = satellite
self.image_data_format = None
se... | mkrachten/Bachelor-thesis | Python/CloudDetection/src/MakeDataset.py | MakeDataset.py | py | 12,643 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.listdir",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 44... |
5060917975 | import time
import zmq
listen_address = "tcp://*:5555"
context = zmq.Context()
ssocket = context.socket(zmq.ROUTER)
ssocket.bind(listen_address)
print("Listening on %s." % listen_address)
while True:
# Wait for next request from client.
address, empty, message = ssocket.recv_multipart()
# message = ssoc... | bitcoinembassy/morphis | old/server_test.py | server_test.py | py | 500 | python | en | code | 15 | github-code | 21 | [
{
"api_name": "zmq.Context",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "zmq.ROUTER",
"line_number": 7,
"usage_type": "attribute"
}
] |
14618523036 | from django.shortcuts import render
from . import form
# Create your views here.
def index(request):
return render(request, 'easyform/index.html')
def form_name(request):
forms = form.FormExample()
if request.method == 'POST':
forms = form.FormExample(request.POST)
if forms.is_valid():
... | MarekFish93/My_Django_Stuff | testform/easyform/views.py | views.py | py | 598 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.shortcuts.render",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 20,
"usage_type": "call"
}
] |
42710394696 | import math
import datetime
import logging
import backtrader as bt
from enum import Enum
_logger = logging.getLogger(__name__)
class FakeFeed(bt.DataBase):
class State(Enum):
BACKTEST = 0,
BACKFILL = 1,
LIVE = 2,
params = (
('starting_value', 200),
('tick_interval', ... | happydasch/btplotting | btplotting/feeds/fakefeed.py | fakefeed.py | py | 6,937 | python | en | code | 276 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "backtrader.DataBase",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "enum.Enum",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "datetime.timedelt... |
3726153514 | import en_core_web_lg
from spacy_langdetect import LanguageDetector
from spacy.matcher import Matcher
import os
firstnames_list_path = os.path.join(os.path.dirname(__file__), "data", "firstnames-list.csv")
with open(firstnames_list_path, "r", encoding="latin-1") as f:
names = [line.rstrip() for line in f]
nlp = e... | murdomoyse/dockerised-flask-nlp-app | src/pipeline.py | pipeline.py | py | 2,229 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.join",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "en_core_web_lg.load",
"lin... |
70387779892 | import numpy as np
import matplotlib.pyplot as plt
import pygeoiga as gn
fig_folder=gn.myPath+'/../../manuscript_IGA_MasterThesis/Thesis/figures/06_pyGeoIGA/'
kwargs_savefig=dict(transparent=True, box_inches='tight', pad_inches=0)
save_all=False
def test_create_geometry():
def plot(geometry, file_name):
f... | danielsk78/pygeoiga | tests/chapter_figures/test_06_pyGeoIGA.py | test_06_pyGeoIGA.py | py | 17,092 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "pygeoiga.myPath",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "pyge... |
37937425472 | import socket
import datetime
import getpass
import platform
import os
import numpy as np
from numpy.distutils import cpuinfo
def format_message(custom_info=None):
host = socket.gethostname()
user = getpass.getuser()
cpu = cpuinfo.cpu.info[0]["model name"]
os = platform.platform()
try:
soc... | ModelTC/NART | python/nart/tools/io.py | io.py | py | 3,201 | python | en | code | 34 | github-code | 21 | [
{
"api_name": "socket.gethostname",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "getpass.getuser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.distutils.cpuinfo.cpu",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "n... |
31388564071 | from threading import Thread, Event
from sched import scheduler
import time
import json
import os
class PurgeDaemon(Thread):
def __init__(self, min_expiry_time, schedule_location="./schedule.json"):
super(PurgeDaemon, self).__init__()
self._should_stop = Event()
self._scheduler = scheduler(time.time, ti... | SCOREC/BDA_SM | src/results_cache/server/file_daemon/purge_daemon.py | purge_daemon.py | py | 3,040 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "threading.Thread",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "threading.Event",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sched.scheduler",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "time.time",
"line... |
71325458293 | from __future__ import print_function
import os
import sys
import pydicom
# check command line arguments make sense
if len(sys.argv) != 3:
print(__doc__)
sys.exit()
# read the file
filename = sys.argv[1]
dcm = pydicom.dcmread(filename)
header = ",".join([
"PatientID",
"PatientAge",
"PatientSex",... | gnayyc/cyy.utils | dicom/dcm2csv.py | dcm2csv.py | py | 2,727 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.argv",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "pydicom.dcmread",
"line_numbe... |
2899215142 |
from decouple import config as configdecouple
from flask_sqlalchemy import SQLAlchemy
db = SQLAlchemy()
def config_database(app):
app.config['SQLALCHEMY_DATABASE_URI'] = configdecouple('DB_URL')
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
db.init_app(app)
with app.app_context():
d... | tomaz-f/ApiCarros | flaskr/database/connection.py | connection.py | py | 335 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "decouple.config",
"line_number": 10,
"usage_type": "call"
}
] |
11875640323 | # - *- coding: utf- 8 - *-
#
import os
import requests
import click
import pyperclip
from aiogram import types
from aiogram import Bot, Dispatcher, types, executor
bot = Bot(token='1858148404:AAG0aLGBfrpmJPbr44wmtK_kxAyKEhhc16I')
dp = Dispatcher(bot)
URL_TRANSFERSH = 'https://transfer.sh'
@dp.mes... | Cicadadenis/bot_it | utils/foto_id.py | foto_id.py | py | 897 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "aiogram.Bot",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "aiogram.Dispatcher",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "aiogram.types.Message",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "aiogram.typ... |
3463628257 | import gi
try:
gi.require_version('AppIndicator3', '0.1')
gi.require_version('Gtk', '3.0')
gi.require_version('GLib', '2.0')
gi.require_version('GdkPixbuf', '2.0')
except Exception as e:
print(e)
print('Repository version required not present')
exit(1)
from gi.repository import AppIndicator3... | atareao/lplayer | src/lplayer/indicator.py | indicator.py | py | 10,974 | python | en | code | 40 | github-code | 21 | [
{
"api_name": "gi.require_version",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "gi.require_version",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "gi.require_version",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "gi.require_vers... |
2166351638 | import abc
class Algorithm(metaclass = abc.ABCMeta):
@abc.abstractmethod
def getType(self):
pass
@abc.abstractmethod
def run(self, para):
pass
import abc
#数据抽象类
class Data(metaclass = abc.ABCMeta):
@abc.abstractmethod
def getType(self):
pass
import abc
#数据抽象类 包括三种... | Travis-MA/YDY2020 | Anatest/server.py | server.py | py | 36,836 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "abc.ABCMeta",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "abc.abstractmethod",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "abc.abstractmethod",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "abc.ABC... |
14353482713 | from argparse import Namespace
import os
import json
import numpy as np
import pandas as pd
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.utils.data import Dataset, DataLoader
import tqdm
class Vocabulary:
def __init__(self, token_to_idx=None):
... | mecha2k/py-nlp | src/torch-nlp/06 surname_classification_rnn.py | 06 surname_classification_rnn.py | py | 17,745 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.zeros",
"line_number": 107,
"usage_type": "call"
},
{
"api_name": "numpy.int64",
"line_number": 107,
"usage_type": "attribute"
},
{
"api_name": "torch.utils.data.Dataset",
"line_number": 136,
"usage_type": "name"
},
{
"api_name": "torch.tensor... |
24666143691 | CAMERA_INDEX=1
REFRESH_INTERVAL=0.001
# In[1]:
from vkfrontend import *
import matplotlib.pyplot as plt
import matplotlib.patches as patches
import matplotlib.image as mpimage
import numpy as np
import colortools as ct
import numpy as np
import cv2
import math
import scipy.ndimage as ndimage
from myfunctio... | dolaram/iSynth- | code/virtualkeyboard/isynth_2.py | isynth_2.py | py | 3,709 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "matplotlib.pyplot.close",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.gcf",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "matpl... |
13283591531 | # Packages
from datetime import datetime
import folium
import geopandas
import ipywidgets as widgets
from folium.plugins import MarkerCluster
from matplotlib import pyplot as plt
from ipywidgets import fixed
from matplotlib import gridspec
import pandas as pd
import streamlit as st
import numpy as np
from streamlit_fo... | raphaelpalhano/Data_Science_ETL | aula_6/aula_6.py | aula_6.py | py | 10,604 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "streamlit.set_page_config",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "streamlit.dataframe",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "streamlit.title",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "streaml... |
73034977013 | # -*- coding: utf-8 -*-
"""
========================================
Background information on configurations
========================================
This tutorial gives a short introduction to MNE configurations.
"""
import os.path as op
import mne
from mne.datasets.sample import data_path
fname = op.join(data_pat... | LiuFang816/SALSTM_py_data | python/mne-tools_mne-python/mne-python-master/tutorials/plot_configuration.py | plot_configuration.py | py | 3,875 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "mne.datasets.sample.data_path",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "mne.io.read_raw_fi... |
26076682851 | from flask import Flask, render_template, request
import requests
app = Flask(__name__)
@app.route('/temperature', methods=['POST'])
def temperature():
zipcode = request.form['zip']
r = requests.get('http://api.openweathermap.org/data/2.5/weather?zip='+zipcode+',no&units=metric&appid=2bb13bbb7d94a5f0e82e32c9d... | massouji82/Weather_App | app.py | app.py | py | 579 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask.request.form",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "requests.get",
"li... |
44245351648 | from django.db import models
# Create your models here.
class Departamento(models.Model):
departamento = models.CharField('Departamento', max_length=255)
def __str__(self):
return self.departamento
class Meta:
verbose_name = 'Departamento'
verbose_name_plural = 'Departamentos'
cl... | renannoronha/iasd | escala/models.py | models.py | py | 607 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.db.models.Model",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "... |
73037124533 | import sys
from datetime import datetime
from time import mktime
from telegram import (Audio, Contact, Document, Chat, Location, PhotoSize, Sticker, TelegramObject,
User, Video, Voice, Venue, MessageEntity, Game)
class Message(TelegramObject):
"""This object represents a Telegram Message.
... | LiuFang816/SALSTM_py_data | python/python-telegram-bot_python-telegram-bot/python-telegram-bot-master/telegram/message.py | message.py | py | 24,704 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "telegram.TelegramObject",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "telegram.User.de_json",
"line_number": 184,
"usage_type": "call"
},
{
"api_name": "telegram.User",
"line_number": 184,
"usage_type": "name"
},
{
"api_name": "datetime... |
70125707252 | import telebot
from image_generator import ImageCreator
from config import TG_TOKEN
# Токен бота, полученный от BotFather
TOKEN = TG_TOKEN
# Создаем экземпляр бота
bot = telebot.TeleBot(TOKEN)
# Функция, которая будет вызываться при получении команды /start
@bot.message_handler(commands=['start'])
def send_welcome(m... | KirillovDV/photo-filler-generator- | bot.py | bot.py | py | 2,219 | python | ru | code | 0 | github-code | 21 | [
{
"api_name": "config.TG_TOKEN",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "telebot.TeleBot",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "image_generator.ImageCreator",
"line_number": 33,
"usage_type": "call"
}
] |
12253698305 | from pyspark.sql import SparkSession
from pyspark.sql.types import *
from pyspark.sql.functions import *
def loadMovieNames():
movieNames = dict()
with open("data/ml-100k/u.item", 'r', encoding='ISO-8859-1') as f:
lines = f.readlines()
for line in lines:
fields = line.split('|')
... | gf234/spark_practice | advancedExamples/popularMoviesBroadcast.py | popularMoviesBroadcast.py | py | 1,372 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pyspark.sql.SparkSession.builder.master",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.SparkSession",
"line_number": 17,
"usage_type":... |
32919881545 | from concurrent.futures import ThreadPoolExecutor
from concurrent.futures import as_completed
import pandas as pd
import yfinance as yf
from tensorflow.keras.utils import Sequence
import os
import numpy as np
from preprocessing import Factors, TweetPreprocessor
class TweetGenerator(Sequence):
def __init__(self... | NizarGhandri/bitcoin_sentiment_analysis | data_fetcher.py | data_fetcher.py | py | 6,285 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "tensorflow.keras.utils.Sequence",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "preprocessi... |
8176209583 | import logging
import time
from common.asserts import assert_spacing, assert_section_spacing, assert_dimensions, assert_spacing_all_sides, verify_url
logger = logging.getLogger(__name__)
def assert_switch_from_expensify(browser, section_top, section_bottom, h2_spacing, list_spacing):
#Assert section spacing
s... | fylein/fyle-www-tests | pages/expensify/common/expensify.py | expensify.py | py | 4,357 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "common.asserts.assert_section_spacing",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "common.asserts.assert_spacing",
"line_number": 14,
"usage_type": "call"
},
{
... |
10450397532 | from itertools import product
import sys
input = sys.stdin.readline
def sol():
N,M = map(int,input().split())
for j in product(list(range(1,N+1)),repeat=M):
print(*j)
def sol2():
def dfs(depth):
if depth == M:
print(*result)
return
for target in range(1,N+1... | inkyu0103/BOJ | Backtracking/15651.py | 15651.py | py | 478 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.stdin",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "itertools.product",
"line_number": 7,
"usage_type": "call"
}
] |
29392963190 | # -*- coding: utf-8 -*-
"""
Created on Mon Aug 7 20:30:15 2017
@author: chong
"""
from utilites import camera_cal, img_process
from line_detection import linedet_win_sliding, linedet_conv, lane_polyfill, curv_cal
from moviepy.editor import VideoFileClip
import matplotlib.image as mpimg
import matplotlib.pyp... | chongding/Self-Driving-Car-Term1-Project4-Advanced-Lane-Detection | video.py | video.py | py | 2,952 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "utilites.camera_cal",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "cv2.undistort",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "utilites.img_process",
... |
25160810571 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
# Load in our libraries
import pandas as pd
import numpy as np
import sklearn
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
from sklearn import preprocessing
from pandas.api.types import is_string_dtype
from sklearn.metrics import ... | Machine-Learning-in-Credit-Scoring/Credit-Scoring | Credit scoring Code/credit_scoring.py | credit_scoring.py | py | 4,024 | python | en | code | 11 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.LabelEncoder",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing",
"line_number": 49,
"usage_type": "name"
},
{
"api_name... |
43183939519 | import numpy
from control.plants.object_2D import Object_2D
from control.controllers.basic_controllers import Composite, Controller, Gravity
from control.estimators.forward import Forward
from control.simulation import Simulator
from control.environments.box import Box
from control.animation import Animator, Anim_2D
f... | youssefzaky/phd | Control/examples/ball.py | ball.py | py | 1,902 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "control.plants.object_2D.Object_2D",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "control.plants.object_2D",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "control.controllers.basic_controllers.Composite",
"line_number": 19,
"usage_t... |
21976582076 | import logging
import warnings; warn = warnings.warn
from collections import OrderedDict
import os
import pandas as pd
import numpy as np
from numpy import isnan, array
# base class fot ATable
from astropy.table import Table
# definition of ATable's columns
from .acolumn import AColumn
# our versin of dataframe
f... | EmptySpace/atable | atable/atable.py | atable.py | py | 18,218 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "warnings.warn",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "astropy.table.Table",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "acolumn.AColumn",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "adataframe.ADat... |
7364004510 | from django.views.generic import TemplateView
from political_sisterhood.candidate.models import Candidate
from django.http import HttpResponse, HttpResponseRedirect
from django.shortcuts import redirect
from django.contrib import messages
from templated_email import send_templated_mail
import os
import json
import logg... | 2019politicalsisterhood/2019Candidates | config/views.py | views.py | py | 3,019 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "django.views.generic.TemplateView",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "p... |
8888688535 | '''
Created on 2015��8��6��
@author: Kenneth Tse
'''
#from _overlapped import NULL
'''
Write a function to find the longest common prefix string amongst an array of strings.
'''
"""
class Solution:
# @param {string[]} strs
# @return {string}
def longestCommonPrefix(self, strs):
if... | DiamondGo/leetcode | python/LongestCommonPrefix.py | LongestCommonPrefix.py | py | 1,572 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.List",
"line_number": 37,
"usage_type": "name"
}
] |
6105227084 | import first_task
import pytest
tests = [
('jTkd NDKek mdKW KDKN NnjD', 'Заглавных букв больше в 40.0% строк'),
('mfmKMKM kcmdKMS KDMKkmc snJMMCn nddjcj NCJDInc', 'Заглавных букв больше в 66.66666666666666% строк')
]
@pytest.mark.parametrize('inp, answer', tests)
def test_first(inp, answer):
"""Tests ch... | annashutova/homework_python | 12.09.22/test_first.py | test_first.py | py | 442 | python | ru | code | 0 | github-code | 21 | [
{
"api_name": "first_task.check_upper",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 11,
"usage_type": "attribute"
}
] |
37474005636 | from youtube_dl import YoutubeDL as yt
def download(link):
ydl_opts = {"outtmpl": "C:\\Users\\HP\\Downloads\\vids\\%(title)s.%(ext)s", "quiet": True}
with yt(ydl_opts) as ydl:
ydl.download([str(link)])
videos = list()
video = ""
while video.lower() != "c":
video = input("Paste link here (enter \"c\... | adzhanoev/YouTube-video-downloader | downloader.py | downloader.py | py | 549 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "youtube_dl.YoutubeDL",
"line_number": 6,
"usage_type": "call"
}
] |
1325626929 | import os
import sys
from math import sqrt
import torch
from numpy import finfo
from torch.autograd import Variable
from torch import nn
from torch.nn import functional as F
root_path = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
sys.path.insert(0, root_path)
from speech.tps.tps import get_symbols_l... | wladradchenko/wunjo.wladradchenko.ru | portable/src/tacotron2/model.py | model.py | py | 27,548 | python | en | code | 404 | github-code | 21 | [
{
"api_name": "os.path.dirname",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.path.insert",
"l... |
31194227537 | import os
import re
import json
import argparse
from rich.progress import Progress
class TokenFinder:
def __init__(self, output_file, custom_paths=None):
self.output_file = output_file
self.local = os.getenv('LOCALAPPDATA')
self.roaming = os.getenv('APPDATA')
self.paths = {
... | Wilbur42/Token-Logger | main.py | main.py | py | 2,901 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.getenv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 41,
... |
17520069924 | import io
import math
from operator import itemgetter
from pathlib import Path
import struct
import typing
from dataclasses import dataclass
from collections import defaultdict
_NUL_CHAR = b'\x00'
_Header = struct.Struct("<4sIHHIII8s")
_FileEntry = struct.Struct('<III')
class Gar:
class File(typing.NamedTuple):
... | leoetlino/jktool | jktool/gar.py | gar.py | py | 6,734 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "struct.Struct",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "struct.Struct",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "typing.NamedTuple",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "typing.Union",
... |
10355811753 | import pygame
import random
pygame.init()
screen = pygame.display.set_mode([900,900])
pygame.display.set_caption("My First Game!")
#Set up global variables
class Ball():
xSpeed=ySpeed=colour=diameter=x=y=0
redBall = Ball()
redBall.xSpeed = random.randint (-5,5)
redBall.ySpeed = random.randint (-... | diligentaura/oldpypractice | BouncingBalls1_chana.py | BouncingBalls1_chana.py | py | 3,658 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "pygame.init",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.s... |
11588878084 | import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision
from torch.utils.data import DataLoader
from torch.utils.tensorboard import SummaryWriter
input = torch.tensor([[1, 2, 0, 3, 1],
[0, 1, 2, 3, 1],
[1, 2, 1, 0, 0],
[5,... | 287852793/pytorch | test_nn_maxpool.py | test_nn_maxpool.py | py | 1,172 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.tensor",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.float32",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torch.reshape",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torchvision.datasets.CIF... |
37247532022 | import multiprocessing
import numpy as np
import tensorflow as tf
from tensorflow import keras
from brevis.utils import *
import brevis as branching
import brevis.core as brevis
from scipy.special import gammaln, digamma
from scipy.special import logsumexp
################# Core functions #########################
cl... | SanityLacking/BrevisNet | brevis/losses/losses.py | losses.py | py | 17,344 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "tensorflow.keras",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.Variable",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "tensorflow.float32",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "ten... |
12540699605 | from collections import defaultdict
class graph:
def __init__(self):
self.adjacencyList= defaultdict(list)
def addEdge(self,source,destination):
self.adjacencyList[source].append(destination)
def BFS(self, start):
queue=[]
visited=[0]*len(self.adjacencyList)
visited[start]=1
queue.append(start)
whi... | yashshah15/interview-prep | bfs.py | bfs.py | py | 592 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.defaultdict",
"line_number": 5,
"usage_type": "call"
}
] |
21102135882 | import sys
import tkinter as tk
import requests
import json
import re
from tkinter import messagebox
import random
class Spider:
def __init__(self):
self.video_api = "https://www.bilibili.com/video/av" # 视频信息
def get_api(api_url):
... | WindyJunsa/BiliBiliSpider | bilibili_support.py | bilibili_support.py | py | 1,960 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "re.S",
"line_number": 45,
... |
75058251251 | import numpy as np
import collections
from datetime import datetime
from .channel import getChannelGrain4Token
from .infrastructure import UNK, UNK_ID, specialTokens, specialTokensDict
import pandas as pd
##################################################################################################TOKEN_LTU
def bu... | floydluo/NLPText | nlptext/utils/vocab.py | vocab.py | py | 5,450 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "datetime.datetime.now",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "collections.Counter",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "datetime.... |
2720260121 | import requests
def fetch_todo(num):
if num in range(1,201):
url = f'https://jsonplaceholder.typicode.com/todos/{num}'
response = requests.get(url)
return response.json()
else:
return "Number should be between 1 to 200"
| infuse-training-jan-2023/Practice_ANIS | Session-Anis/src/api_request.py | api_request.py | py | 262 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 6,
"usage_type": "call"
}
] |
11694256315 | from flask import Flask, jsonify, request
from flask_sqlalchemy import SQLAlchemy
#from flask_marshmallow import Marshmallow
from flask_cors import CORS,cross_origin
import sqlite3
from threading import Lock
# Initializing flask app
app = Flask(__name__)
CORS(app)
conn = sqlite3.connect('crimeDBFinal.db', check_sa... | asayad1/CrimeData | backend/server.py | server.py | py | 1,828 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "threading.Lock",
"line... |
35664114630 | #!/usr/bin/env python
from __future__ import print_function
import argparse
from qsub import *
def read_sim_sfs(sfs_file):
"""
reads in sfs file from mathmatica script output
:param sfs_file: str
:return: list
"""
sfs_line = ['\t'.join(x.rstrip('\n').split()) for x in open(sfs_file).readlines... | henryjuho/anavar_simulations | anavar1.2_indel/test_anavar1.2_multi_indel_disc.py | test_anavar1.2_multi_indel_disc.py | py | 4,988 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 22,
"usage_type": "call"
}
] |
10586035400 | # -*- coding:utf-8 -*-
"""
Author: XiangtaiLi
"""
import torch
import torch.utils.data as data
from torchvision import transforms, utils
import pandas as pd
import os, math, random
from skimage import io
from os.path import *
import numpy as np
from .utils import mask_dic
class FashionAttributes(data.Dataset):
"""... | lxtGH/games | data/dataloader.py | dataloader.py | py | 2,934 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "torch.utils.data",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",... |
72099711732 | # EXAMPLE USAGE: python twitter_miner.py 'test.csv' \#hillary \#trump
# This will monitor hashtags with #hillary and #trump and save tweets to test.csv
# Uses a twitter app API key for generic twitter mining.
# Note that if you want to mine hashtags, you have to use \ to escape the # in the command line
#Import t... | chrisalbon/second_2016_presidential_debate_twitter | twitter_miner.py | twitter_miner.py | py | 4,065 | python | en | code | 10 | github-code | 21 | [
{
"api_name": "tweepy.streaming.StreamListener",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "sys.argv",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "csv.write... |
73963139254 | import discord
from config import get_config
config = get_config()
async def create_discord_app() -> None:
intents = discord.Intents.default()
intents.message_content = True
bot = discord.Client(intents=intents)
@bot.event
async def on_ready():
print(f'{bot.user} has connected to Disco... | mesiriak/kurumi | imps/ds/entrypoint.py | entrypoint.py | py | 373 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "config.get_config",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "discord.Intents.default",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "discord.Intents",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "discord.C... |
42723831336 | from webserver.app import app
from flask import render_template, request
import json, fnmatch
import os
import logging
from datetime import date
from logging.handlers import TimedRotatingFileHandler
from prog.da_config import Config
import prog.da_report
web_datapath = "static/data/"
app_datapath = "app/static/data/"
... | corneel27/day-ahead | webserver/app/routes.py | routes.py | py | 6,756 | python | en | code | 36 | github-code | 21 | [
{
"api_name": "os.path.join",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "prog.da_config.Config",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.handlers.Time... |
26744884148 | import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import numpy as np
import cv2
import math
import os
#reading in an image
image = mpimg.imread('test_images/solidWhiteRight.jpg')
#printing out some stats and plotting
print('This image is:', type(image), 'with dimensions:', image.shape)
plt.imshow(ima... | AmeyaWagh/CarND-Finding_Lane_Lines | proj1.py | proj1.py | py | 12,226 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "matplotlib.image.imread",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.image",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.imshow",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "mat... |
15224808687 | import pytest
import requests
from apprise.plugins.NotifyRyver import NotifyRyver
from helpers import AppriseURLTester
# Disable logging for a cleaner testing output
import logging
logging.disable(logging.CRITICAL)
# Our Testing URLs
apprise_url_tests = (
('ryver://', {
'instance': TypeError,
}),
... | caronc/apprise | test/test_plugin_ryver.py | test_plugin_ryver.py | py | 3,636 | python | en | code | 8,936 | github-code | 21 | [
{
"api_name": "logging.disable",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.CRITICAL",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "apprise.plugins.NotifyRyver.NotifyRyver",
"line_number": 34,
"usage_type": "name"
},
{
"api_n... |
30548272636 | from telegram.ext import (Updater, PicklePersistence)
from .handler import room_manager_conv_handler, private_base_conv_handler, tutorial_conv_handler, faq_conv_handler
def _create_bot(token: str, bot_data_filename: str) -> Updater:
"""
Creates a new bot instance from the given token and loads the bot data fr... | ALLUOS/ALLUOS_PUBLIC_APP | src/bot/bot.py | bot.py | py | 1,461 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "telegram.ext.Updater",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "handler.room_manager_conv_handler",
"line_number": 22,
"usage_type": "argument"
},
{
"api_name": "handler.private_base_conv_handler",
"line_number": 23,
"usage_type": "argument... |
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