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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
4294519556 | import requests
from sys import argv
script,url = argv
USAGE='''
USAGE:
python dead_link.py www.itest.info
'''
if len(argv)!=2:
print(USAGE)
exit()
r = requests.get(url)
print("接口地址",url,'\n')
print("状态码",r.status_code,'\n')
print(f"Headers:")
for key, value in r.headers.items():
print(... | coffee-loves/sdlc | test_case/get.py | get.py | py | 376 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "sys.argv",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "sys.argv",
"line_number": 10,
"usage_type": "argument"
},
{
"api_name": "requests.get",
"line_number": 14,
"usage_type": "call"
}
] |
25264363538 | import discord
import asyncio
import urllib.request
import json
client = discord.Client()
@client.event
async def on_ready():
print('Logged in as')
print(client.user.name)
print(client.user.id)
print('------')
@client.event
async def on_message(message):
if message.content.startswith('!test'):
... | FloPrm/ArenaEsport | main.py | main.py | py | 3,026 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "discord.Client",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "urllib.request.request.urlopen",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "urllib.request.request",
"line_number": 62,
"usage_type": "attribute"
},
{
"api_name... |
23741438864 | # see if you can fit a flat J and varying m to the baseline
from scipy.special import digamma
from scipy.optimize import bisect
import pandas as pd
import numpy as np
# parameters
# ---
# which run
suffix = '_3'
S_fixed = 25 # somewhat arbitrary choice for the fixed value of S
# where the results are
dir_results =... | nadiahpk/niche-neutral-riau-birds | scripts/neutral_area_vs_m/decreasing_m.py | decreasing_m.py | py | 1,817 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pandas.read_csv",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "scipy.special.digamma",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "numpy.sign",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "scipy.optimize.bisec... |
36130715471 | import pytz
import factory
import factory.fuzzy
from django.contrib.auth import get_user_model
from creator.releases.models import (
Release,
ReleaseTask,
ReleaseService,
ReleaseEvent,
)
from creator.studies.models import Study
from creator.users.factories import UserFactory
User = get_user_model()
c... | kids-first/kf-api-study-creator | creator/releases/factories.py | factories.py | py | 3,939 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "factory.DjangoModelFactory",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "creator.releases.models.Release",
"line_number": 19,
"usage_type": "na... |
31151845576 | #!/usr/bin/python
# -*- coding: utf-8 -*-
import MySQLdb
import sqlite3
import default_conf
class SQLite(object):
""" SQLite connection and manipulation tools """
def __init__(self, db="db.db"):
"""
@param db A database filename (use db.db) as a default
"""
self.connection = s... | PhompAng/To-do-Bullet | db.py | db.py | py | 3,405 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "sqlite3.connect",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "default_conf.config",
"line_number": 56,
"usage_type": "attribute"
},
{
"api_name": "MySQLdb.connect",
"line_number": 61,
"usage_type": "call"
}
] |
23434512562 | import argparse
import os
import time
import sys
from statistics import mean
import cv2
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
from torch.utils.data.sampler import SubsetRandomSampler
from torch.utils.tensorboard import SummaryWriter
import torch_xla
import torch_xla.distrib... | weiaicunzai/pytorch-camvid | legacy/train_tpu.py | train_tpu.py | py | 7,655 | python | en | code | 5 | github-code | 71 | [
{
"api_name": "torch_xla.debug.metrics.metrics_report",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "torch_xla.debug.metrics",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "transforms.Compose",
"line_number": 35,
"usage_type": "call"
},
{
... |
71583899429 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Aug 7 08:53:09 2019
@author: ayonrab
"""
from bs4 import BeautifulSoup
import csv
import requests
def get_page(url):
response = requests.get(url)
if not response.ok:
print('Server responded:', response.status_code)
else: ... | AyonRabbani/car_price_predictor- | car_scraper.py | car_scraper.py | py | 3,134 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "requests.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 89,
"usage_type": "call"
}
] |
73801848549 | """
Created on Thu Dec 16 20:08:17 2021
@author: User
"""
import pandas as pd
import random
from sklearn.naive_bayes import GaussianNB
from sklearn.preprocessing import LabelEncoder
import math
#reading data
data = pd.read_csv('data4.csv')
#preprocessing our data
#elimination of instances with missing val... | mcaptain79/Data-Mining-Projects | DM Projects/3/Codes and Reports/question3.py | question3.py | py | 3,453 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pandas.read_csv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.LabelEncoder",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "sklearn.naive_bayes.GaussianNB",
"line_number": 58,
"usage_type": "call"
},
{
... |
25869411698 | from multiagents.utils.yaml_utils import read_yaml, read_prometheus_metrics_yaml
from multiagents.utils.server import obtain_slow_queries, obtain_anomaly_time
import warnings
from multiagents.tools.metric_monitor.anomaly_detection import prometheus
import numpy as np
from termcolor import colored
from multiagents.utils... | TsinghuaDatabaseGroup/lmdb | multiagents/tools/metrics.py | metrics.py | py | 5,613 | python | en | code | 3 | github-code | 71 | [
{
"api_name": "time.localtime",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "time.strftime",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numbe... |
70752683109 | import os
import pathlib
from spdm.data.File import File
from spdm.data.Entry import open_entry
from spdm.utils.logger import logger
WORKSPACE = "/home/salmon/workspace" # "/ssd01/salmon_work/workspace/"
OUTPUT_PATH = f"{WORKSPACE}/output"
os.environ["SP_DATA_MAPPING_PATH"] = f"{WORKSPACE}/fytok_data/mapping"
if _... | simpla-fusion/spdm | examples/demo_entry.py | demo_entry.py | py | 1,451 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "os.environ",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "spdm.data.Entry.open_entry",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "spdm.data.Fil... |
32639458533 | import sys
import os
import cv2
import numpy as np
original_image = None
valid_rects = None
def car_number_detection():
image_file_name = 'original.png'
global original_image
original_image = cv2.imread(image_file_name)
gray_image = gray_scale(original_image)
save_image(gray_image, image_file_na... | function-test/Car-Number-Detect | car_number_detection.py | car_number_detection.py | py | 9,158 | python | ko | code | 0 | github-code | 71 | [
{
"api_name": "cv2.imread",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.splitext",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "cv2.imwrite",
"line_numb... |
7400374726 | from django.shortcuts import redirect
from django.urls import reverse_lazy
from django.views.generic import ListView, CreateView, UpdateView, DeleteView
from inventory.models import HeadingCapacity
from inventory.forms import HeadingCapacityForm
from django.http import JsonResponse
class HeadingCapacityListView(ListV... | DevApa/seguridad | inventory/views/subitemcap/views.py | views.py | py | 4,292 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "django.views.generic.ListView",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "inventory.models.HeadingCapacity",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.urls.reverse_lazy",
"line_number": 12,
"usage_type": "call"
},
{... |
23447914050 | import requests
import json
import pandas as pd
from bs4 import BeautifulSoup
class MercadoEdu:
def __init__(self, nome):
self.data = None
self.headers = {}
self.nome = nome
self.cache_Modalidades = None
self.export = []
self.form = self.verificar()
# Centraliza todas as requisiçãos (requests) e faz o ... | glauberpaim/MercadoEdu | Medu.py | Medu.py | py | 3,112 | python | pt | code | 0 | github-code | 71 | [
{
"api_name": "requests.get",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "requests.exceptions",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
... |
70573863591 | def sql_insert(engine, conn, table, **kwargs):
import sqlalchemy
from sqlalchemy.dialects.mysql import insert
metadata = sqlalchemy.MetaData()
table_obj = sqlalchemy.Table(table, metadata, autoload=True, autoload_with=engine)
insert_statement = insert(table_obj).values(**kwargs)
on_duplicate = i... | alphabet5/guacamole-compose | guacamole_compose/cli.py | cli.py | py | 18,415 | python | en | code | 3 | github-code | 71 | [
{
"api_name": "sqlalchemy.MetaData",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Table",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.dialects.mysql.insert",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "do... |
71684510309 | import logging
import pandas as pd
from zenml import step
import os
from components.component_data_cleaning import DataCleaning
from typing import Tuple, Annotated
import pandas as pd
FILE_NAME = os.path.basename(__file__)
@step(enable_cache=False)
def process_clean_data(data: pd.DataFrame) -> Tuple[Annotated[pd.Da... | TPQuentin/MLOps_Health_Insurance | steps/step_clean_data.py | step_clean_data.py | py | 1,186 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "os.path.basename",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pandas.DataFrame",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "logging.info",
... |
72042335270 | import json
import os
class JsonFileHandler():
def __init__(self):
print("hello W")
self.filename = None
self.data = None
def open_json_file(self, filename):
self.filename = filename
if os.path.exists(self.filename):
with open(self.filename, "r") as file:
... | danieluxury88/GeneralKnowledge_SoftwareDevelopment | A_MyCLIApp/utils/json_file_handler.py | json_file_handler.py | py | 797 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "os.path.exists",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": ... |
23747093139 | """
Support for Z-Wave lights.
For more details about this platform, please refer to the documentation at
https://home-assistant.io/components/light.zwave/
"""
# Because we do not compile openzwave on CI
# pylint: disable=import-error
from threading import Timer
from homeassistant.components.light import ATTR_BRIGHTN... | giteshgoyal/webhelp-element-polymer | demofile/app/bower_components/home-assistant-dev/homeassistant/components/light/zwave.py | zwave.py | py | 3,398 | python | en | code | 5 | github-code | 69 | [
{
"api_name": "homeassistant.components.zwave.NETWORK",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "homeassistant.components.zwave",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "homeassistant.components.zwave.NETWORK",
"line_number": 21,
"u... |
40473467606 | import pyowm
owm = pyowm.OWM('5b626cfbc81840ed25df6235c8313d7d') # You MUST provide a valid API key
# Have a pro subscription? Then use:
# owm = pyowm.OWM(API_key='your-API-key', subscription_type='pro')
# Search for current weather in London (Great Britain)
user_city = input("Введіть місто у якому потрібно дізнати... | andriidanyluik/softserve | lecture7/classwork/first_pyowm.py | first_pyowm.py | py | 1,109 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pyowm.OWM",
"line_number": 3,
"usage_type": "call"
}
] |
20048719754 | from flask import Flask, jsonify, request, make_response, redirect, render_template
import jwt
import datetime
from functools import wraps
import os
import json
app = Flask(__name__)
app.config['SECRET_KEY'] = 'thisissecretkey'
def token_required(f):
@wraps(f)
def decorated(*args, **kwargs):
token = r... | ankitrohilla1/Flask_task1 | app.py | app.py | py | 4,572 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "flask.reque... |
8376075479 | import base64
import json
import pulumi
import pulumi_aws as aws
import pulumi_docker as docker
def getRegistryInfo(rid):
creds = aws.ecr.get_credentials(registry_id=rid)
decoded = base64.b64decode(creds.authorization_token).decode()
parts = decoded.split(":")
if len(parts) != 2:
raise Except... | blairhoddinott/airtek-cloud | pulumi/__main__.py | __main__.py | py | 8,876 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pulumi_aws.ecr.get_credentials",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pulumi_aws.ecr",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "base64.b64decode",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "p... |
15220879917 | import pandas as pd
import numpy as np
from .utils import utils
class monte_carlo():
def __init__(self, size, cov_matrix, mean_returns):
self.size = size
self.cov_matrix = cov_matrix
self.mean_returns = mean_returns
def get_equal_weights(self, size):
n = 1.0 / size
... | leanhtai253/PortfolioManagementAndMonteCarloSimulation | src/utils/monte_carlo.py | monte_carlo.py | py | 2,669 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "numpy.random.rand",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "numpy.sum",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
... |
34452421692 | import requests
class Swapi():
def __init__(self, url_swapi, redis_db_swapi, expire):
self.url_swapi = url_swapi
self.redis_db_swapi = redis_db_swapi
self.expire = expire
def get_qtd_planet_by_name(self):
qtd_planet_film = self.check_cache_swapi(self.url_swapi)
if qtd... | smateusjr/desafio | Code/services/swapi.py | swapi.py | py | 1,203 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "requests.get",
"line_number": 16,
"usage_type": "call"
}
] |
34084620681 | import torch
from torch import nn
from torch.nn import functional as F
from torch_geometric.nn import MessagePassing, global_sort_pool
from torch_geometric.utils import add_self_loops, degree
from sklearn.metrics import roc_auc_score
from ThisDataset import ThisDataset
import random
import yaml
random.seed(42)
def warn... | chainletRepo/chainlet | src/GNN/DGCNN.py | DGCNN.py | py | 8,040 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "random.seed",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "warnings.warn",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Module",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"l... |
72680808229 | import os
import cubical
from setuptools import setup, find_packages
with open('README.md') as f:
long_description = f.read()
try:
import six
except ImportError:
raise ImportError("Please install six before running install. If you're using pip 19 to install this package you should not be seeing this messa... | ratt-ru/CubiCal | setup.py | setup.py | py | 2,504 | python | en | code | 18 | github-code | 71 | [
{
"api_name": "os.environ.get",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "setuptools.setup",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "cubical.VERSION",
... |
2442484148 | from network.base_model import ModelBase_ResNet18
from network.heads import (
MoCoProjectionHead
)
import torch.nn.functional as F
import copy
from util.MemoryBankModule import MemoryBankModule
from util.utils import *
class SCE(nn.Module):
def __init__(self, dim=256, K=4096, momentum=-1, tem=0.05, dataset='cif... | pc-cp/Mini-SSL | network/SCE.py | SCE.py | py | 4,054 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "network.base_model.ModelBase_ResNet18",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "network.heads.MoCoProjectionHead",
"line_number": 21,
"usage_type": "call"
},
{
... |
43980998868 | import motmetrics as mm
import numpy as np
class MOTMetric(object):
def __init__(self, ground_truth, tracks, max_d2):
assert len(ground_truth) == len(tracks)
self.__has_truth = np.array([bool(d) for d in ground_truth]).any()
self.__has_hyps = np.array([bool(d) for d in tracks]).any()
... | osannolik/mh-tracker | mht/utils/metrics.py | metrics.py | py | 2,694 | python | en | code | 15 | github-code | 71 | [
{
"api_name": "numpy.array",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "motmetrics.MOTAccumulator",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"l... |
3528181598 | from django.contrib import admin
from django.urls.base import reverse
from django.urls.exceptions import NoReverseMatch
from django_audit_fields.admin import audit_fieldset_tuple
from edc_model_admin.dashboard import ModelAdminSubjectDashboardMixin
from edc_model_admin.model_admin_simple_history import SimpleHistoryAdm... | inte-africa-trial/inte-edc | inte_screening/admin/subject_refusal_admin.py | subject_refusal_admin.py | py | 2,025 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "edc_model_admin.dashboard.ModelAdminSubjectDashboardMixin",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "edc_model_admin.model_admin_simple_history.SimpleHistoryAdmin",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "forms.SubjectRefusalForm"... |
36026838426 | # -*- coding: utf-8 -*-
"""
Created on Wed Mar 22 14:32:28 2017
Health impacts of PM2.5 - WHO-Europe method (HRAPIE reccomendations)
to calculate mortality according to the Risk Rates
Corresonding YLLs or days of life lost are calculated considering the
distribution of mortality and population... | enricopisoni/SHERPA-simulation-old | module8_healthia.py | module8_healthia.py | py | 16,698 | python | en | code | 3 | github-code | 71 | [
{
"api_name": "numpy.zeros",
"line_number": 99,
"usage_type": "call"
},
{
"api_name": "numpy.shape",
"line_number": 99,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 100,
"usage_type": "call"
},
{
"api_name": "numpy.shape",
"line_number":... |
24054737792 | import pygame
import random
pygame.font.init()
# Globale verdier
s_bredde = 600 # bredde på vindu
s_hoyde = 550 # lengde på vindu
blokk_storrelse = 20 # størrelse på blokk
blokker_bredde = 10 ... | MulanGan/Programmering-og-modellering | pygame.tetris.py | pygame.tetris.py | py | 19,039 | python | no | code | 0 | github-code | 71 | [
{
"api_name": "pygame.font.init",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pygame.font",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "random.choice",
"line_number": 198,
"usage_type": "call"
},
{
"api_name": "pygame.font.SysFont",
... |
25535362299 | #!/usr/bin/env python3
from datetime import datetime
from datetime import timedelta
import locale
LAST_DATE = "2022-09-26"
WEEK = timedelta(days=7)
PAYOUT = 0.5
def main():
locale.setlocale(locale.LC_ALL, "de_DE")
last_date = datetime.fromisoformat(LAST_DATE)
pay_day = last_date + WEEK
amount = PAY... | steffen-tellhelm/py-playground | pocket_money/pocket_money.py | pocket_money.py | py | 531 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "datetime.timedelta",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "locale.setlocale",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "locale.LC_ALL",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "datetime.dateti... |
75036194469 | import torch
# Training configuration
MODEL = ""
BATCH_SIZE = 128
LRATE = 1e-4
NUM_EPOCHS = 50
WEIGHT_DECAY = 0
TRAIN_SIZE = 33600
VAL_SIZE = 8400
NUM_FEATURES = 30
# Classifier configuration
TRAIN_PROPORTION = 0.9999
NUM_NEIGHBORS = 3
NUM_ESTIMATORS = 101
# General configuration
TRAIN_FILE = "../data/train.... | StuartNam/digit-recognizer | Autoencoder/config.py | config.py | py | 539 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "torch.float32",
"line_number": 37,
"usage_type": "attribute"
}
] |
31551985674 | from __future__ import division
from future.utils import raise_from
import errno
import json
import os
import platform
import socket
import subprocess
import sys
from collections import OrderedDict
from time import sleep
from warnings import warn
import semver
from pennsieve.log import get_log_level, get_logger
from... | Pennsieve/pennsieve-python | pennsieve/api/agent.py | agent.py | py | 14,637 | python | en | code | 2 | github-code | 71 | [
{
"api_name": "pennsieve.log.get_logger",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "semver.VersionInfo.parse",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "semver.VersionInfo",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_nam... |
25496795588 | from sklearn.linear_model import Ridge
from sklearn.linear_model import LinearRegression
import numpy as np
from sklearn.preprocessing import PolynomialFeatures
import torch
class Poly_linear_regression_grad():
'''
import matplotlib.pyplot as plt
from sklearn.linear_model import Ridge
from model.Ridge_s... | lewis841214/Polynomial_regression_monotonic | model/PR_monotonic.py | PR_monotonic.py | py | 4,441 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "sklearn.preprocessing.PolynomialFeatures",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.LinearRegression",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 55,
"usage_type": "call"
},... |
37241610146 | # importing the required libraries
import csv
import json
# defining the function to convert CSV file to JSON file
def convjson(csvFilename, jsonFilename):
# creating a dictionary
mydata = {}
# reading the data from CSV file
with open(csvFilename, encoding = 'utf-8') as csvfile:
... | Maksim-Burning-Inside/Diploma | Диплом/Дипломный проект/Генерация базы для модели/Convert_CSV_to_json.py | Convert_CSV_to_json.py | py | 808 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "csv.reader",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 21,
"usage_type": "call"
}
] |
4072188364 | import gym
gym.logger.set_level(40) # nopep8
from gym.envs.registration import registry
from eagent.gym_evolving_locomotion_envs import EvolvingWalkerEnv # noqa
from eagent.gym_evolving_manipulate_envs import EvolvingHandEnv # noqa
def register(id, *args, **kvargs):
if id in registry.env_specs:
return
... | r-koike/eagent | eagent/__init__.py | __init__.py | py | 2,439 | python | en | code | 2 | github-code | 71 | [
{
"api_name": "gym.logger.set_level",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "gym.logger",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "gym.envs.registration.registry.env_specs",
"line_number": 9,
"usage_type": "attribute"
},
{
"a... |
39702846985 | import time
import re
from cumulusci.robotframework.utils import capture_screenshot_on_error
from cumulusci.robotframework.pageobjects import BasePage
from cumulusci.robotframework.pageobjects import pageobject
from BaseObjects import BaseNPSPPage
from NPSP import npsp_lex_locators
from logging import exception
OID_RE... | ekunoff/Food-Bank-Implementation | .cci/projects/NPSP/92dec0f236cbd570a658dd9ce9d41f5ab66477d0/robot/Cumulus/resources/GiftEntryPageObject.py | GiftEntryPageObject.py | py | 5,614 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "BaseObjects.BaseNPSPPage",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "cumulusci.robotframework.pageobjects.BasePage",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "NPSP.npsp_lex_locators",
"line_number": 35,
"usage_type": "name"
... |
41838752805 | from torch.utils.data.dataloader import DataLoader
from dataset import DataSet
from network import NetA, SubCNNA, NetA4
from torch import optim
from torch import nn, save, load, Tensor
from collections import Counter
from util import calculate_mcc
import time
def train(epoch, batch_size=128, lr=0.00001):
... | L0veSunshine/Eye_Contact | 3.Eye contact detection/train_model.py | train_model.py | py | 3,787 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "torch.optim.AdamW",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.optim",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "torch.nn.MSELoss",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_n... |
16659196202 | from Tkinter import *
import pandas as pd
from scipy.stats import mode
import tkFileDialog
import tkMessageBox
from decimal import *
from sklearn import metrics
class Analyser:
train = None
sructureDic = None
numOfBins = None
initDictionaryStruct = {}
countRecotdsClass = {}
struct = {}
p = ... | azranmo/Data-Mining-Python | naive/naiveBayes.py | naiveBayes.py | py | 11,204 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "scipy.stats.mode",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pandas.cut",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "tkMessageBox.showerror",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "pandas.cut",
"... |
41906984662 | # -*- coding: utf-8 -*-
from lib import SQLAlchemy
from lib import Email_SMTP
from email.header import Header
import pandas as pd
import numpy as np
import os
# ---------------------------------------------------------------------------------------------------- #
# Import Data and Function
# --------------... | doubleW1985/ETL-with-Python-and-MySQL-Docker- | 4_ETL & Read from DB.py | 4_ETL & Read from DB.py | py | 6,410 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "lib.SQLAlchemy",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "lib.Email_SMTP",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "pandas.read_sql_query",... |
26428100579 | import pickle
import matplotlib.pyplot as pyplot
import seaborn
from matplotlib.path import Path
import matplotlib.patches as patches
from random import shuffle
from random import randrange
from matplotlib import gridspec
import pandas
def get_verts( origin, target, test=False ):
origin = float( origin )
targ... | jorisvanzundert/riddle_ikindex | src/ik_index_mplot/ml_vs_index_plot_full.py | ml_vs_index_plot_full.py | py | 7,211 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pickle.load",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "random.shuffle",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "random.shuffle",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "random.shuffle",
"line_... |
13601715119 | import numpy as np
from src.data_utils.data_loader import DataReaderUtility
import unittest
import pandas as pd
import torch
from src.models.epitome import EPITOME
from transformers import AdamW
from config import _EPS, _LR, _LAMBDA_EI, _LAMBDA_RE, _BATCH_SIZE, _max_tokenizer_len
import logging
logging.getLogger().set... | prabhnoor0212/Empathy-in-Mental-Health-Support | TEST/test.py | test.py | py | 6,416 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.cud... |
14734339621 | from typing import List
from collections import Counter, deque
import heapq
class Solution:
def leastInterval(self, tasks: List[str], n: int) -> int:
'''
Min heap
'''
c = Counter(tasks)
heap = [-v for v in c.values()]
heapq.heapify(heap)
queue = deque()
... | happy96026/interview-prep | coding_problems/may/may26.py | may26.py | py | 1,296 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "typing.List",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "collections.Counter",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "heapq.heapify",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "collections.deque",
... |
10634510712 | import torch
from scipy.optimize import linear_sum_assignment
from torch import nn
from tools.box_ops import box_cxcywh_to_xyxy, generalized_box_iou
class HungarianMatcher(nn.Module):
def __init__(self, cost_class:float = 1, cost_bbox:float = 1,
cost_giou: float = 1, focal_alpha = 0.25, model_ty... | hmxiong/Transformer-Series | model/matcher.py | matcher.py | py | 3,412 | python | en | code | 6 | github-code | 71 | [
{
"api_name": "torch.nn.Module",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torch.cat",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "torch.cat",
"line_number": ... |
27717829242 |
# -*- coding: utf-8 -*-
"""
Created on Sun Dec 15 21:14:11 2019
@author: Yoshi
"""
import numpy as np
from PIL import Image,ImageDraw,ImageFont
from cell_drawer import *
from arrow_coordinate_calculator import *
def cell_response_mapper(path,canvas,width,height,map_type,cell_locations,scale,radius,color_key,freq... | Yoshitaka-Shinagawa/Llano-Lab-Analysis-Program | map_generators/cell_response_mapper.py | cell_response_mapper.py | py | 6,752 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "PIL.ImageDraw.Draw",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "PIL.ImageDraw",
"line_number": 60,
"usage_type": "name"
},
{
"api_name": "PIL.ImageFont.truetype",
"line_number": 83,
"usage_type": "call"
},
{
"api_name": "PIL.ImageFont... |
70277554791 | import os
import json
import random
import torch
import numpy as np
from pytorch_lightning import Trainer
from pytorch_lightning.callbacks import EarlyStopping, ModelCheckpoint
from pytorch_lightning.loggers import TensorBoardLogger
from torch.utils.data.dataloader import DataLoader
from ..data.configuration import g... | caciolai/Geometric-Deep-Learning-for-Virality-Prediction-of-Hashtags | src/virality/model/train.py | train.py | py | 1,628 | python | en | code | 10 | github-code | 71 | [
{
"api_name": "lightning.LitModule",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "torch.utils.data.dataloader.DataLoader",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "torch.utils.data.dataloader.DataLoader",
"line_number": 18,
"usage_type": "nam... |
13265882247 | import re
from datetime import datetime
from datetime import timedelta
from matplotlib import pyplot as plt
import numpy as np
DURATION_FIRST_HALF = 45
DURATION_HALF_TIME = 17
DURATION_SECOND_HALF = 50 # extended time + buffer
def analyze(twitter_bundesliga_collection, kickoffs: dict, highlights: dict):
for ha... | FRules/bda-a1 | data_analyzing/modules/tweets_during_match/main.py | main.py | py | 7,316 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "datetime.datetime",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.fromtimestamp",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "d... |
38988775731 | # -*- coding: utf-8 -*-
import pandas as pd
from matplotlib import pyplot as plt
from math import fabs
import numpy as np
x = 12.1
C = np.arange(-10, 1.1, 0.5)
print(C)
# c = -10
#
# while c <= 1:
# C.append(c)
# c += 0.5
l = pow(pow(2 * x - C, 3), 0.2) + 0.567
print(l)
max = l.max()
min = l.min()
avg = ... | Lun777/SLP_Labs | Lab №5/№3.1.py | №3.1.py | py | 622 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "numpy.arange",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "matplotlib.pypl... |
74663975909 | import unittest
from mock import Mock, call
from torchbearer.metrics import RunningMean, Metric, RunningMetric, Mean, Std, Var
import torch
class TestVar(unittest.TestCase):
def test_variance_dim(self):
var = Var('test', dim=0)
var.process(torch.Tensor([[1., 2.], [3., 4.]]))
var.process... | pytorchbearer/torchbearer | tests/metrics/test_aggregators.py | test_aggregators.py | py | 7,629 | python | en | code | 630 | github-code | 71 | [
{
"api_name": "unittest.TestCase",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torchbearer.metrics.Var",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.Tensor",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.Ten... |
20740507236 | # This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this
# file, You can obtain one at http://mozilla.org/MPL/2.0/.
import types
from marionette_driver import By, errors, Wait
from marionette_harness import MarionetteTestCase, skip_if... | WaterfoxCo/Waterfox-Classic | testing/marionette/harness/marionette_harness/tests/unit/test_window_handles_content.py | test_window_handles_content.py | py | 6,726 | python | en | code | 160 | github-code | 71 | [
{
"api_name": "marionette_harness.WindowManagerMixin",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "marionette_harness.MarionetteTestCase",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "types.StringTypes",
"line_number": 28,
"usage_type": "attribu... |
40920099072 | import numpy as np
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--file', default='', type=str)
opt = parser.parse_args()
see = np.load(opt.file, encoding='latin1', allow_pickle=True)
print(see.item()['imglabel'])
print(see.item()['imgid']) | TonyWu199/NLP_REID | dataset/cuhkpedes/see.py | see.py | py | 279 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 9,
"usage_type": "call"
}
] |
6695347432 | import gym
from gym import wrappers
import pandas as pd
import numpy as np
import random
import matplotlib.pyplot as plt
class Learner:
def __init__(self):
num_states = 10 ** 4
num_actions = 2
self.qmatrix = np.random.uniform(low=-1, high=1, size=(num_states, num_actions))
self.epsi... | Reichenbachian/BalancingBot | Simulator.py | Simulator.py | py | 3,356 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "numpy.random.uniform",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "random.random",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "random.randint",... |
12734233343 | from django.test import TestCase
from dojo.models import Test
from dojo.tools.zap.parser import ZapParser
class TestZapParser(TestCase):
def test_parse_no_findings(self):
testfile = open("dojo/unittests/scans/zap/empty_2.9.0.xml")
parser = ZapParser()
findings = parser.get_findings(testfi... | manu20202/test1 | dojo/unittests/tools/test_zap_parser.py | test_zap_parser.py | py | 3,264 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "django.test.TestCase",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "dojo.tools.zap.parser.ZapParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "dojo.models.Test",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "... |
15279293361 | #绘制已经被统计过的数据
#使用bar来描述直方图
#描述分布的状态
from matplotlib import pyplot as plt
from matplotlib import font_manager
my_font=font_manager.FontProperties(fname="/System/Library/Fonts/PingFang.ttc")
#数据
interval = [0,5,10,15,20,25,30,35,40,45,60,90]#x
width = [5,5,5,5,5,5,5,5,5,15,30,60]#组距
quantity = [836,2737,3723,3926,3596,1... | gehong-coder/commit_paper | MachineLearning/数据分析/learn直方图2.py | learn直方图2.py | py | 772 | python | zh | code | 0 | github-code | 71 | [
{
"api_name": "matplotlib.font_manager.FontProperties",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.font_manager",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 14,
"usage_type": "call"
},
{
... |
32406501742 | from PIL import Image, ImageFont, ImageDraw
import os
from helpers import color_print
from settings import ImageConf, Paths
def get_font_size(image_width):
# Calculate font size of text
target_width = image_width * ImageConf.text_width_fraction
font_size = 1 # starting font size
# Inc... | rezi-gelenidze/auto-media-proccesor | editor_image.py | editor_image.py | py | 2,113 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "settings.ImageConf.text_width_fraction",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "settings.ImageConf",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "PIL.ImageFont.truetype",
"line_number": 14,
"usage_type": "call"
},
{
... |
11331395559 | import logging
import logging.handlers
import psycopg2
import time
from blockchain.witnet_database import WitnetDatabase
from node.witnet_node import WitnetNode
from objects.wip import WIP
from util.address_generator import AddressGenerator
from util.protobuf_encoder import ProtobufEncoder
from util.radon_translato... | drcpu-github/witnet-explorer-backend | transactions/transaction.py | transaction.py | py | 7,432 | python | en | code | 5 | github-code | 71 | [
{
"api_name": "blockchain.witnet_database.WitnetDatabase",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "blockchain.witnet_database.WitnetDatabase",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 42,
"usage_type": ... |
42049807613 | import base64
import json
import datetime
import logging
import argtoolbox
from requests import Request
from argtoolbox import DefaultCompleter as Completer
from linshareapi.admin import AdminCli
from linshareapi.core import trace_session
from linshareapi.core import trace_request
from linshareapi.core import LinShare... | fred49/linshare-cli | linsharecli/admin/core.py | core.py | py | 10,840 | python | en | code | 3 | github-code | 71 | [
{
"api_name": "linsharecli.common.core.DefaultCommand",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "linsharecli.common.core",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "base64.b64decode",
"line_number": 40,
"usage_type": "call"
},
{
... |
21472534070 | import requests
import re
from bs4 import BeautifulSoup
from src.interfaces.subdomain_enumerator import SubdomainEnumerator
from time import sleep
class AskDorksAdapter(SubdomainEnumerator):
def __init__(self) -> None:
"""This class will manage the enumeration logic using the Ask dorks
"""
... | deidax/dosuby | src/adapter/dorks/ask_dorks_adapter.py | ask_dorks_adapter.py | py | 1,857 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "src.interfaces.subdomain_enumerator.SubdomainEnumerator",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 47,
"usage_type": "call"
}
] |
36096896789 | import csv
import functools
from itertools import product
import re
import random
import string
from loguru import logger
from apps.electives.models import ElectiveThematic, Elective, ElectiveKind, CreditUnitsKind, KindOfElective
def generate_random_error_name():
return 'ErrorName___' + ''.join(random.choices(s... | tamarinvs19/choosing_electives | apps/parsing/table_parsing.py | table_parsing.py | py | 5,768 | python | en | code | 2 | github-code | 71 | [
{
"api_name": "random.choices",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "string.ascii_letters",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "apps.electives.models.ElectiveThematic.objects.get_or_create",
"line_number": 34,
"usage_type": ... |
32299891852 | import torch
from torch import nn
from utils import (basename_noext, get_fashion_mnist_labels,
kmp_duplicate_lib_ok, load_data_fashion_mnist, predict,
savefig, train_ani)
kmp_duplicate_lib_ok()
torch.set_printoptions(linewidth=120)
def main():
batch_size = 256
num_epochs... | dennischen/aimpi | mlp_concise.py | mlp_concise.py | py | 1,181 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "utils.kmp_duplicate_lib_ok",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.set_printoptions",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "utils.load_data_fashion_mnist",
"line_number": 16,
"usage_type": "call"
},
{
"api... |
5077753498 | import discord
# Embeds
# Embed for positive search results
async def ResultLinkEmbed (client, title, content, link, channel):
embed = discord.Embed(title = title, url = link, description = content, color = discord.Color.green())
embed.set_author(name = 'I found a result!')
await client.send_message(chan... | Dmunch04/sam-search-bot | Helpers/EmbedHelper.py | EmbedHelper.py | py | 4,054 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "discord.Embed",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "discord.Color.green",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "discord.Color",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "discord.Embed",
... |
19255110670 | # Композиция алгоритмов
# Градиентный бустинг
# Подбор гиперпараметров
import matplotlib.pyplot as plot
import numpy as np
import pandas
from sklearn.model_selection import train_test_split
from sklearn.ensemble import GradientBoostingClassifier, RandomForestClassifier
from sklearn.metrics import log_loss
from source... | RasselJohn/ML | source/week_5_part_2.py | week_5_part_2.py | py | 3,154 | python | ru | code | 0 | github-code | 71 | [
{
"api_name": "sklearn.metrics.log_loss",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "matplotli... |
30781262930 | from Products.Five.browser import BrowserView
from Products.CMFCore.utils import getToolByName
from plone import api
import logging
logger = logging.getLogger(".SetEditor")
class SetEditor(BrowserView):
def __call__(self):
#get facebook's users account
acl_users = api.portal.get_tool(name='acl_u... | mingtak/tbfac.content_forTaishin | tbfac/content/browser/seteditor.py | seteditor.py | py | 1,577 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "Products.Five.browser.BrowserView",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "plone.api.portal.get_tool",
"line_number": 14,
"usage_type": "call"
},
{
"api_... |
73334655271 | import os
import sys
from pylab import *
import numpy as np
import netCDF4
from scipy.spatial import cKDTree
class woa():
def __init__(self,ncfile='woa13_devac_04v2.nc',tidx=0):
nc = netCDF4.Dataset(ncfile)
sv = nc.variables
latslice=slice(173,262)
lonslice=slice(320,524)
latslice=slice(None,Non... | hofmeist/schism-setups | arctic/scripts/woadata.py | woadata.py | py | 4,015 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "netCDF4.Dataset",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "scipy.spatial.cKDTree",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "scipy.spatial.cKDTree",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "scipy.spa... |
22295746784 | import asyncio
from datetime import datetime
from telethon.errors import BadRequestError, FloodWaitError, ForbiddenError
from userbot import catub
from ..Config import Config
from ..core.logger import logging
from ..core.managers import edit_delete, edit_or_reply
from ..helpers import reply_id, time_formatter
from .... | arbabmahdi/cat_good | userbot/assistant/botcontrols.py | botcontrols.py | py | 10,775 | python | fa | code | 0 | github-code | 71 | [
{
"api_name": "core.logger.logging.getLogger",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "core.logger.logging",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "Config.Config.TG_BOT_USERNAME",
"line_number": 27,
"usage_type": "attribute"
},
{
... |
72258452711 | import os
from re import S
from numpy.lib.function_base import select
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
from nes_py.wrappers import JoypadSpace
import gym_super_mario_bros
from gym_super_mario_bros.actions import RIGHT_ONLY
from wrappers import wrapper
# from gym import wrappers
env = gym_super_mario_bros.mak... | banmedo/mAIrio | mAIrio.py | mAIrio.py | py | 8,100 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "os.environ",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "gym_super_mario_bros.make",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "nes_py.wrappers.JoypadSpace",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "... |
13706243233 | import os
import cv2
import pickle
import argparse
import numpy as np
import matplotlib.pyplot as plt
from tqdm import tqdm
"""
DOCS:
- https://github.com/jiyangzhao/pyehd/blob/main/pyehd.py
- https://www.youtube.com/watch?v=Z7NlH4HC0dw&ab_channel=ExploringTechnologies
- https://www.section.io/engineerin... | HoangPham3003/Python_CBIR | feature_extraction/texture_features/edge_histogram_descriptor/ehd.py | ehd.py | py | 7,277 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
... |
29913643864 | from flask import Flask, render_template
import os
import time
import json
import subprocess
import logDictionary
import xml.etree.ElementTree as ET
import firebase_admin
from firebase_admin import credentials
from firebase_admin import firestore
from subprocess import check_output
app = Flask(__name__)
###########... | TheSoftwareDesignLab/OPIA-web-server | app/app.py | app.py | py | 11,621 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "flask.Flask",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "firebase_admin.credentials.Certificate",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "firebase_admin.credentials",
"line_number": 18,
"usage_type": "name"
},
{
"api... |
21136453535 | from typing import Sequence
import pandas as pd
from ...datasets.base import Dataset
from ...llm.evaluators import RequirementEvaluator
from ...llm.generators import AdversarialDataGenerator
from ...llm.testcase import TestcaseRequirementsGenerator
from ...models.base.model import BaseModel
from ...testing.tests.llm ... | Giskard-AI/giskard | giskard/scanner/llm/base.py | base.py | py | 2,929 | python | en | code | 2,258 | github-code | 71 | [
{
"api_name": "models.base.model.BaseModel",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "datasets.base.Dataset",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "scanner.logger.info",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": ... |
37532374850 | #Stephen Greene
#LR Circuit
#ODEs Runge-Kutta
import numpy as np
import matplotlib.pyplot as plt
#for square wave
from scipy import signal
#defining dI/dt
def f(T,I):
return 1.0/0.9*(V(T)-8.0*I)
#defining square wave
def V(T):
return signal.square(np.pi*2.0*T)
#ask user for input
... | stephengreene92/Physics-Problems | lr_circuit.py | lr_circuit.py | py | 960 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "scipy.signal.square",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "scipy.signal",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "numpy.pi",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "numpy.linspace",
"... |
74809981988 | import os
import argparse
import pandas as pd
import numpy as np
from PIL import Image
from data_processing.recover_dataset import CIFAR100Coarse
def get_novel_class(data_folder, train):
# Download the CIFAR100 Data
cifar100_data = CIFAR100Coarse(
root=data_folder,
train=train,
downlo... | ChaoPang/nndl_final_project | utils/build_subclass_novel_class.py | build_subclass_novel_class.py | py | 2,270 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "data_processing.recover_dataset.CIFAR100Coarse",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.squeeze",
"line_number": 22,
"usage_type": "call"
},
{
"api_na... |
22073071190 | from keras.layers import Input, Conv2D, Conv2DTranspose
from keras.layers import MaxPooling2D, UpSampling2D, AveragePooling2D
from keras.layers import BatchNormalization, Activation, concatenate, Lambda, add, Dropout
from keras.models import Model
import keras.backend as K
from keras import optimizers
# lr = 0.00001
#... | TokiedaKodai/cnn-depth | network.py | network.py | py | 7,497 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "keras.layers.BatchNormalization",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "keras.layers.Activation",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "keras.layers.Dropout",
"line_number": 40,
"usage_type": "call"
},
{
"api_... |
8414668907 | import pyodbc
import sys
import time
import datetime
#import shutil
#import codecs
#import zipfile
#import logging
#import logging.config
#import threading
import sqlite3
#import pdb;pdb.set_trace() # h-help
#***********************************************************************************************
#Init start Ti... | AlexandrJarovsky/RKS6 | Xcopy_to_66.py | Xcopy_to_66.py | py | 2,143 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "time.time",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "time.strftime",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "time.localtime",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pyodbc.connect",
"line_num... |
29320816378 | from flask import Flask, request, render_template
from flask_restful import Api, Resource
from flask_restful.reqparse import RequestParser
from datetime import datetime
import os
HOST_ADDR = os.getenv('LTK_HOST_ADDR') or '0.0.0.0'
HOST_PORT = int(os.getenv('LTK_HOST_PORT') or 5000)
LOGFILE = os.getenv('LTK_LOGFILE') o... | Python3-8/logthosekeys | __main__.py | __main__.py | py | 1,331 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "os.getenv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 11,
"... |
12809733568 | import tkinter as tk
import tkinter.messagebox as mb
import tkinter.ttk as ttk
from controller.divisions_controller import DivisionsController
from entity.divisions import Division
from docx import Document
import openpyxl
class DivisionApp(ttk.Frame):
def __init__(self):
super().__init__()
self.... | KarynaOhol/Staffing_Table | view/tkinter/division_tk.py | division_tk.py | py | 10,693 | python | en | code | 2 | github-code | 71 | [
{
"api_name": "tkinter.ttk.Frame",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "tkinter.ttk",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "controller.divisions_controller.DivisionsController",
"line_number": 14,
"usage_type": "call"
},
{... |
26130487050 | #!/usr/bin/env python
"""
Parser for saudinic whois data formats
"""
import re
from datetime import datetime
from seine.whois.formats import WhoisDataParser, WhoisError
FIELD_MAP = {
'Domain Name': 'domainname',
'descr': 'owner',
'address': 'address',
'phone': 'tele... | hile/seine | seine/whois/formats/saudinic.py | saudinic.py | py | 4,147 | python | en | code | 2 | github-code | 71 | [
{
"api_name": "re.compile",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "seine.whois.f... |
21816517912 | from typing import Union
def init_vars():
"""
Initialisation des variables à 0
:return: Renvoi les variables initialisées
"""
x = 0
y = 0
pos_tete = 0
return x,y,pos_tete
def load_dim(filepath: str) -> Union[int, int]:
"""
Chargement des dimensions de l'espace depuis le fichi... | FaridAhamadaGunners/Dojo | robot/src/get_final_position.py | get_final_position.py | py | 6,100 | python | fr | code | 0 | github-code | 71 | [
{
"api_name": "typing.Union",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 49,
"usage_type": "name"
}
] |
18155215491 | import torch
from torch.optim.optimizer import Optimizer, required
import math
class SGD(Optimizer):
def __init__(self, params, lr=required, momentum=0, dampening=0,
weight_decay=0, nesterov=False ,warm_up = 1000 ):
if lr is not required and lr < 0.0:
raise ValueError("Invali... | CaoWGG/TensorMask | lib/optimer.py | optimer.py | py | 6,514 | python | en | code | 51 | github-code | 71 | [
{
"api_name": "torch.optim.optimizer.Optimizer",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "torch.optim.optimizer.required",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "torch.optim.optimizer.required",
"line_number": 10,
"usage_type": "name"
}... |
17109690412 | from django.contrib.auth.decorators import login_required
from django.contrib.auth.mixins import LoginRequiredMixin
from django.db.models import Sum
from django.http import JsonResponse, Http404
from django.shortcuts import render, redirect, get_object_or_404
from django.views.generic import ListView, DetailView
from... | srinipal/mutual-funds-portfolio | mfPortfolio/portfolio/views.py | views.py | py | 6,155 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "django.shortcuts.render",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.decorators.login_required",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "models.MutualFund.objects.all",
"line_number": 20,
"usage_type": "c... |
4693503226 | import os
from base64 import b64encode
time_entry = None
tracking1 = False
enddata = None
workspace_id = None
env_variable = None
api_usage = None
def update_env_variable(value):
global env_variable, api_usage
env_variable = value
codename = os.getenv(env_variable)
encoded_api_key = bytes(str(codename... | tschilpi/Toggl-Tracking-Keys | Code/config.py | config.py | py | 415 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "os.getenv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "base64.b64encode",
"line_number": 16,
"usage_type": "call"
}
] |
29699466161 | from mnist_helpers import *
import cv2
# this is the image we want to distort
test_image = './images//four.png'
if __name__ == '__main__':
# read the grayscale image
image = cv2.imread(test_image, 0)
# just call the function elastic_transform function
# with a suitable kernel size, alpha and sigma... | vsvinayak/mnist-helper | test.py | test.py | py | 835 | python | en | code | 26 | github-code | 71 | [
{
"api_name": "cv2.imread",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.resize",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "cv2.imwrite",
"line_number": 28,
"usage_type": "call"
}
] |
41111777709 | #!/usr/bin/python
# -*- coding: UTF-8 -*-
import time
import os, signal,socket
import stomp
import multiprocessing
import db
from sqlmaker import *
import yaml
import io
conf_path = "./conf.yaml"
def get_conf_data():
_file_data = io.open(conf_path, 'r', encoding='utf-8')
conf_data = yaml.load(_file_data)
... | Zhaohb2017/ActiveMQ | mqToDb_for_club_user_day/accept.py | accept.py | py | 4,962 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "io.open",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "yaml.load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.getpid",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.getpid",
"line_number": 31,
"u... |
14259481987 | import asyncio
import csv
import time
import aiohttp
start_time = time.time()
async def fetch_data(session, url):
async with session.get(url) as response:
return await response.json()
async def fetch_person_data(session, person_url):
person_data = await fetch_data(session, person_url)
films = awa... | Shub456git/task_csv | starwars_csv.py | starwars_csv.py | py | 2,171 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "time.time",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "asyncio.gather",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "asyncio.gather",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "asyncio.gather",
"line_num... |
44181718693 | import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score
from sklearn import metrics
import seaborn as sd
df_train_X= pd.read_csv('kddcup.csv')
df_train_y=df_train_X["label"]
df_train_X=df_train_X.iloc[:,:20]
from sklearn.preprocessing impor... | praveenkumar-236/Data-Security-Approach-On-Cyber-Crime-With-Web-Vulnerability | main2.py | main2.py | py | 5,191 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "pandas.read_csv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.LabelEncoder",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 29,
"usage_type": "call"
},... |
7388124560 | import os, sys
sys.path.append(os.getcwd())
from selenium.webdriver.common.by import By
from base.base_action import BaseAction
class NetworkPage(BaseAction):
more_button = By.XPATH, '//*[@text="更多"]'
network_button = By.XPATH, '//*[@text="移动网络"]'
net2G_button = By.XPATH, '//*[@text="2G"]'
net3G_butt... | rosexiang150/Po2020 | page/network_page.py | network_page.py | py | 1,060 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "sys.path.append",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "base.base_action.BaseAction",
... |
42484430725 | from settings.config import *
from repos.weather_data import store_weather_data
from logic.api_weather import get_last_five_days_cities_weather_data as logic
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker, declarative_base
def store_data():
weather_data = logic()
try:
prin... | montexbjeliseo/DAChallenge | nivel_medio/service/handler.py | handler.py | py | 960 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "logic.api_weather.get_last_five_days_cities_weather_data",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.create_engine",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.orm.sessionmaker",
"line_number": 15,
"usage_... |
36097187312 | import datetime
import time
import alpaca_trade_api
import pandas as pd
import pandas_ta as ta
import requests
from Account import Account
from GeneralStrategy import (get_buy_price, get_sell_price, get_coins_and_usd)
from Strategy import Strategy
from Verdict import Verdict
import firebase as ref
Mock = True
Ticker =... | webclinic017/Project-Killer-Public | LongConBot/LongConBot.py | LongConBot.py | py | 4,301 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "alpaca_trade_api.REST",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "GeneralStrategy.get_buy_price",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "GeneralStrategy.get_sell_price",
"line_number": 18,
"usage_type": "call"
},
... |
18943191716 |
from flask.app import Flask
from flask import render_template, url_for, redirect
import re
#if entrypoint is not defined, app engine will look for an app
app = Flask(__name__)
SortedCap = []
Sentiments = ["Happiness","Confused","Fear","Anger","Surprise"]
Captions = ["The only joy in the world is to begin.",
... | sdhaniwar/pythonsample | webapp.py | webapp.py | py | 2,236 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "flask.app.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 29,... |
30597353191 | from flask import request
from flask_jwt_extended import jwt_required, get_jwt, get_jwt_identity
from flask_restful import Resource
import schemas
from models.users import UsersModel
from models.products import ProductsModel
class Products(Resource):
# get all products
@classmethod
# @jwt_required()
... | weihongsoh/project4 | backend/backend/resources/products.py | products.py | py | 2,078 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "flask_restful.Resource",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "models.products.ProductsModel.find_all",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "models.products.ProductsModel",
"line_number": 16,
"usage_type": "name"
}... |
7392119212 | import tarfile
import pickle
import random
import numpy as np
import matplotlib.pyplot as plt
import h5py
#---------------------------------------------------------------zero padding---------------------------------------------------------------------
def zero_pad(X, pad):
"""
Pad with zeros all images of the ... | siffi26/Build-Convolutional-Neural-Network | cifar_hw2.py | cifar_hw2.py | py | 17,029 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "numpy.pad",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 66,
... |
1215193352 | from django.db import models
from taggit.managers import TaggableManager
from phonenumber_field.modelfields import PhoneNumberField
from timezone_field import TimeZoneField
class OperatorCode(models.Model):
"""Код оператора"""
code = models.CharField('код мобильного оператора', max_length=3)
def __str__... | mmetelev/django-mailing | apps/mailing/models.py | models.py | py | 2,499 | python | ru | code | 0 | github-code | 71 | [
{
"api_name": "django.db.models.Model",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": ... |
24584266983 | from typing import List
import collections
import heapq
class Solution:
def rearrangeBarcodes(self, barcodes: List[int]) -> List[int]:
n = len(barcodes)
res = [None] * n
barcode_count = collections.Counter(barcodes)
index = 0
for code, count in barcode_count.most_common():
... | brandoneng000/LeetCode | medium/1054.py | 1054.py | py | 1,330 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "typing.List",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "collections.Counter",
"line_number": 9,
"usage_type": "call"
}
] |
19813307095 | # -*- coding: UTF-8 -*-
from __future__ import unicode_literals
import attr
from ._attachment import Attachment
@attr.s(cmp=False)
class QuickReply(object):
"""Represents a quick reply."""
#: Payload of the quick reply
payload = attr.ib(None)
#: External payload for responses
external_payload = ... | philipk19238/send-your-friends-the-script-from-the-bee-movie-one-word-at-a-time | env/lib/python3.6/site-packages/fbchat/_quick_reply.py | _quick_reply.py | py | 2,926 | python | en | code | 54 | github-code | 71 | [
{
"api_name": "attr.ib",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "attr.ib",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "attr.ib",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "attr.ib",
"line_number": 19,
"usage_t... |
2906167697 | import matplotlib.pyplot as plt
import os
import numpy as np
import scipy.stats as stats
import time
from scipy.optimize import curve_fit
from tqdm import tqdm
class MakePlots:
'''class to make plots with changing parameters'''
def __init__(self, simulation):
self.simulation = simulation
def sens... | ishabansod/Complex-Sys-Sim-Wildfire | make_plots.py | make_plots.py | py | 4,306 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "time.time",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "scipy.stats.t.interval",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "scipy.stats.t",
"line... |
16069644854 | from django.conf import settings
from rest_framework.request import Request
from rest_framework.response import Response
from rest_framework.views import APIView
from apps.auth_token.auth import BasePluginAuthentication
from apps.base.models import DynamicSetting
from apps.grafana_plugin.tasks.sync import plugin_sync_... | grafana/oncall | engine/apps/grafana_plugin/views/status.py | status.py | py | 3,198 | python | en | code | 3,019 | github-code | 71 | [
{
"api_name": "common.api_helpers.mixins.GrafanaHeadersMixin",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "rest_framework.views.APIView",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "apps.mobile_app.auth.MobileAppAuthTokenAuthentication",
"line_numb... |
8282229449 | import stanfordnlp, sys, argparse
parser = argparse.ArgumentParser(allow_abbrev=False)
# fmt: off
parser.add_argument('--num-shards', default=1, type=int, metavar='N',
help='number of shards')
parser.add_argument('--shard-id', default=0, type=int, metavar='N',
help='shard id')
p... | jungokasai/XOR_QA_MTPipeline | deprecated/tokenizers/tokenizer.py | tokenizer.py | py | 2,061 | python | en | code | 2 | github-code | 71 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "stanfordnlp.Pipeline",
"line_number": 18,
"usage_type": "call"
}
] |
34515491431 | import datetime
import os
import sys
import shutil
CACHE_SIZE = 1024
FILE_PATH_SUFFIX = 'log.txt'
g_file_handle = None
g_log_cache = ''
g_is_local = False # 为False则只print而不保存文件
log_builder = 'none_builder'
log_node = 'none_node'
# arg1 arg2...
g_position_args = []
# -option1 [param1, param2, ...] -option2 [param1, ... | chliangxu/xcl_master | work/log.py | log.py | py | 6,342 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "datetime.datetime.now",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "chardet.detect",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "sys.stdou... |
31317283066 | import json
from elasticsearch import Elasticsearch
from es_schemas.filmwork_schema import SCHEMA as FILMWORKS_INDEX_BODY
from es_schemas.genre_schema import SCHEMA as GENRES_INDEX_BODY
from es_schemas.person_schema import SCHEMA as PERSONS_INDEX_BODY
from tests.functional.settings import settings
INDEXES = {
"p... | crank2303/Async_API_tests | tests/functional/testdata/es_mapping.py | es_mapping.py | py | 3,199 | python | en | code | 0 | github-code | 69 | [
{
"api_name": "es_schemas.person_schema.SCHEMA",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "es_schemas.genre_schema.SCHEMA",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "es_schemas.filmwork_schema.SCHEMA",
"line_number": 13,
"usage_type": "name... |
25971508046 | from flask.views import MethodView
from flask_smorest import Blueprint, abort
from sqlalchemy.exc import SQLAlchemyError
from flask_jwt_extended import jwt_required, get_jwt_identity
from sqlalchemy import func
import logging
from flask import request
import secrets
from db import db
from app.models import Note, Tag
f... | Adebowale-Morakinyo/NotesAPI_v2 | app/resources/note.py | note.py | py | 7,512 | python | en | code | 2 | github-code | 71 | [
{
"api_name": "flask_smorest.Blueprint",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "flask.views.MethodView",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "flask_jwt_extended.get_jwt_identity",
"line_number": 30,
"usage_type": "call"
},
{
... |
6619109962 | from flask import Flask, render_template, flash, session
from flask import request
from flask import redirect
from mysqlconnection import connectToMySQL
import re
app = Flask(__name__)
app.secret_key = 'keep it secret, keep it safe'
EMAIL_REGEX = re.compile(r'^[a-zA-Z0-9.+_-]+@[a-zA-Z0-9._-]+\.[a-zA-Z]+$')
@app.route... | archanagottipaty/JAVA | Documents/python_stack/flask/flask_mysql/EXAM/server.py | server.py | py | 10,020 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.request.form",
"... |
17722991583 | from flask import Flask, request # 从flask引入Flask和request模组
from flask_cors import CORS
app = Flask(__name__)
CORS(app)
DictA = {} #DictA用于储存key-value pairs
@app.route('/', methods=['GET'])
def root1():
return 'ok' # 发送response body 为 ok
# 将webserver执行，监听任意来源ip，port开在3000，开启debug模式
# debug模... | Chingyong0905/introduction_to_computers_labs | lab10/lab10.py | lab10.py | py | 2,966 | python | zh | code | 0 | github-code | 71 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.request.form.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "flask.request.form",... |
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