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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
31355510321 |
import unittest
import pyproj
import simplegrid as sg
class TestNearest(unittest.TestCase):
def test_nearest_sw_corner(self):
geod = pyproj.Geod(ellps='sphere')
mg = sg.gridio.read_mitgridfile('./data/tile005.mitgrid', 270, 90)
i,j,dist = sg.util.nearest(-128.,67.5,mg['XG'],mg['YG'],geo... | nasa/simplegrid | simplegrid/tests/test_nearest.py | test_nearest.py | py | 1,096 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pyproj.Geod",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "simplegrid.gridio.read_mitgridfile",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "... |
21529723220 | import logging
import sys
import re
import time
import json
def run(ctx):
# Get the ticket data from the context
ticket = ctx.config.get('data').get('ticket')
ticket_srn = ticket.get('srn')
# Create GraphQL client
graphql_client = ctx.graphql_client()
#query ticket endpoint for swimlanes
... | sonraisecurity/sonrai-bots | remediation/azure/add_sonrai_platform_user/bot.py | bot.py | py | 5,348 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "logging.info",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 117,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_numb... |
42420354636 | import sqlite3
from tkinter import *
from tkinter import messagebox
#Nombre la Base de Datos
db = "timerSIAT.db"
busca = Tk()
busca.iconbitmap('buscar.ico')
busca.title("Buscar Numero de Serie")
busca.geometry("330x250")
uno=Label(busca, text=" ")
uno.place(x = 30, y = 70)
dos=Label(busca, text=" ")
dos.place(x = 15... | AnaNicoSerrano88/Timmer-SIAT | Buscar_Serie.py | Buscar_Serie.py | py | 2,474 | python | es | code | 0 | github-code | 6 | [
{
"api_name": "tkinter.messagebox.showerror",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "tkinter.messagebox",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "sqlite3.connect",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "tkint... |
18003897185 | import torch
import torch.nn as nn
from torch.nn import Parameter
from torch.distributions import Normal
from algo.pn_utils.maniskill_learn.utils.torch import ExtendedModule
from ..builder import DENSEHEADS
class GaussianHeadBase(ExtendedModule):
def __init__(self, scale_prior=1, bias_prior=0, dim_action=None, ep... | PKU-EPIC/UniDexGrasp | dexgrasp_policy/dexgrasp/algo/pn_utils/maniskill_learn/networks/dense_heads/gaussian.py | gaussian.py | py | 2,881 | python | en | code | 63 | github-code | 6 | [
{
"api_name": "algo.pn_utils.maniskill_learn.utils.torch.ExtendedModule",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torch.nn.Parameter",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.tensor",
"line_number": 12,
"usage_type": "call"
},
... |
6545029693 | from sqlalchemy.orm import Session
from . import models, schemas
def get_items(db: Session, skip: int = 0, limit: int = 100):
return db.query(models.Item).offset(skip).limit(limit).all()
def create_objective(db: Session, objective: schemas.ObjectiveBase):
db_objective = models.Objective(**objective.dict())... | yaseralnajjar/Fast-API-Sample | my_app/crud.py | crud.py | py | 949 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "sqlalchemy.orm.Session",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.orm.Session",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.orm.Session",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "s... |
73952569148 | import os
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
plt.style.use('SVA1StyleSheet.mplstyle')
def parse_args():
import argparse
parser = argparse.ArgumentParser(description='Correlation of reserved stars')
parser.add_argument('--tausflask1',
default='/ho... | des-science/Y3_shearcat_tests | alpha-beta-eta-test/code/tests/taus_v1v2.py | taus_v1v2.py | py | 4,389 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "matplotlib.use",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style.use",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "... |
21188009718 | """ Module for city related models. """
from sqlalchemy import Column, String, Integer, ForeignKey
from sqlalchemy.orm import relationship
from data import CONFIG
from models import Base
CONSUMPTION_RATES = CONFIG.get("game.cities.consumption")
class City(Base):
""" Model for tracking city data. """
__tab... | Jordan-Cottle/Game-Design-Capstone | StarcorpServer/starcorp/models/city.py | city.py | py | 2,949 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "data.CONFIG.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "data.CONFIG",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "models.Base",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_n... |
30354483311 | import sys
import vtk
from vtk.util import vtkConstants
try:
from vtk.util import numpy_support
except ImportError:
numpy_support = None
import numpy
# Enthought library imports.
try:
from tvtk.array_ext import set_id_type_array
HAS_ARRAY_EXT = True
except ImportError:
HAS_ARRAY_EXT = False
# Us... | enthought/mayavi | tvtk/array_handler.py | array_handler.py | py | 27,563 | python | en | code | 1,177 | github-code | 6 | [
{
"api_name": "vtk.util.numpy_support",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "vtk.vtkIdTypeArray",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.int32",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "numpy.int64... |
34029348872 | import matplotlib.pyplot as plt
import numpy as np
"""
Plot of success rate for a single NN with different control horizons
"""
# testing_result = [47.74, 52.76, 61.81, 63.82, 50.75]
# baseline_result = [44.72, 45.73, 51.25, 52.26, 46.73]
testing_result = [48, 53, 62, 64, 51]
baseline_result = [45, 46, 51, 52, 47]
... | SFU-MARS/WayPtNav-reachability | executables/Plots_for_papers/Anjian/plot_ctrlhorizon_successful_rate.py | plot_ctrlhorizon_successful_rate.py | py | 1,763 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "numpy.asarray",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "numpy.aran... |
31101340357 | from django.urls import path
from . import views
app_name = "public"
urlpatterns = [
path("", views.index, name="index"),
path("about", views.about, name="about"),
path("upload_dataset", views.upload_dataset, name="upload_dataset"),
path("train_model", views.train_model, name="train_model"),
path(... | pdagrawal/ml_playground | ml_playground/apps/public/urls.py | urls.py | py | 374 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
41265462253 | import pandas as pd
from sklearn.ensemble import AdaBoostClassifier
from sklearn.metrics import accuracy_score
from sklearn.model_selection import train_test_split
#datamızı okuduk
df = pd.read_csv("C:\projects\intropattern\otu.csv")
#verinin tranzpozasını alarak left ve rightları column hale getirdik.
df=df.T
X = df.... | Haticenurcoskunn/Introduction-to-pattern-term-project | binary_classficiton/boosting_algorithms.py | boosting_algorithms.py | py | 970 | python | tr | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sklearn.ensemble.AdaBoostClassifier",
"line_number": 17,
"usage_type": "call"
}... |
75261205308 | import torch
from tqdm import tqdm
def evaluate(model, loader, device):
"""
Evaluation function to calculate loss and accuracy on Val/test dataset
Args:
model (nn.Module): model to be evaluated on the give dataset
loader (DataLoader): Validation/Test dataloader to evaluate the model on.
... | iMvijay23/Dinov2SSLImageCL | evaluate.py | evaluate.py | py | 1,112 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "torch.nn.CrossEntropyLoss",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "torch.no_grad",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.argmax",
... |
42739926570 | # -*- coding = utf-8 -*-
"""
the :mod `dataset` module provides the dataset class
and other subclasses which are used for managing datasets
"""
import pandas as pd
import numpy as np
class Dataset:
"""base class for loading datasets
Note that you should never instantiate the class :class: `Dataset... | Jack-Lio/RecommenderSystem | dataset.py | dataset.py | py | 4,487 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"li... |
7065948190 | # -*- coding: utf-8 -*-
from PyQt5 import QtWidgets
from PyQt5.QtWidgets import QMessageBox
class MyWindow(QtWidgets.QWidget):
def __init__(self):
super().__init__()
self.myButton = QtWidgets.QPushButton(self)
self.myButton.clicked.connect(self.msg)
self.msg()
def msg(self):
... | kRayvison/Pycharm_python36 | k_test/temp_test.py | temp_test.py | py | 727 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtWidgets",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QPushButton",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": ... |
16930073280 | import shutil
import difflib
import filecmp
import logging
from prettyconf import config
BOOTSTRAP_TESTS = config("BOOTSTRAP_TESTS", default=False)
LOG = logging.getLogger(__name__)
def compare_files(*, got, expected):
"""Compares the contents of a test file against expected
Args:
got: file with t... | huiwenke/3d-beacons-client | tests/tests_cli/utils.py | utils.py | py | 1,186 | python | en | code | null | github-code | 6 | [
{
"api_name": "prettyconf.config",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "shutil.copy",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "filecmp.cmp",
"lin... |
40880620153 | from flask import Flask, request, jsonify
import requests
from pyspark.sql import SparkSession
from pyspark.sql.types import StructType, StructField, StringType, BooleanType
import threading
import logging
import time
app = Flask(__name__)
# Create a SparkSession (Singleton)
spark = SparkSession.builder.appName("APID... | DennisVW0/DE_TASK | app.py | app.py | py | 3,411 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder.appName",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 12,
"usage_type": "attribute"
},
... |
29322733814 | from google.cloud import bigquery
import plotly.express as px
dataset_id = "salestest"
class DatasetManager(object):
def __init__(self, dataset_id):
self.dataset_id = dataset_id
self.client = self._get_client()
def print_listed_projeto(self):
"""INFORMA O NOME DO PROJETO DO SERVICE ... | luizgnunes/PesquisaJsonECriacaoGrafico | main.py | main.py | py | 4,026 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "google.cloud.bigquery.Client.from_service_account_json",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "google.cloud.bigquery.Client",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "google.cloud.bigquery",
"line_number": 36,
"usag... |
71578318267 | import torch.nn as nn
from utils.config import config
import torch
import numpy as np
from model.bbox_tools import *
import torch.nn.functional as F
from torchvision.ops import nms
def nograd(f):
def new_f(*args, **kwargs):
with torch.no_grad():
return f(*args, **kwargs)
retur... | langfengQ/FasterRCNN-expanded-VOC2007 | model/faster_rcnn.py | faster_rcnn.py | py | 4,074 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "torch.no_grad",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.nn.Module",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "torch.Tensor",
"line_... |
16315480908 | from dronekit import Vehicle, connect, VehicleMode, Command
import time
from pymavlink.dialects.v20 import ardupilotmega
from pymavlink import mavutil
class DKVehicle(Vehicle):
def __init__(self, connection):
print ("Connecting to vehicle on: %s" % connection)
self.vehicle = connect(connection, ba... | JarrydSteele/pythonscripts | First/dk_vehicle.py | dk_vehicle.py | py | 4,478 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "dronekit.Vehicle",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "dronekit.connect",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pymavlink.mavutil.mavlink",
"line_number": 71,
"usage_type": "attribute"
},
{
"api_name": "pymav... |
17694953325 | from Transformer import Transformer
from MultiHeadAttention import MultiHeadAttention
from tqdm import tqdm
from Metrics import grad
from Metrics import loss_function
from Metrics import loss_function2
from Metrics import accuracy_function
from sklearn.linear_model import LogisticRegression
from sklearn.preprocessing i... | whytheevanssoftware/log-analyzer | training/__main__.py | __main__.py | py | 7,572 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"lin... |
43736972444 | import sys
from pyspark import SparkConf, SparkContext
import re
from bwt import reverseBwt
from radix import radixSort
from segment import segSort
from default import defaultSort
from partition import partitionSort
# config spark context, set master, name and memory size
def getSC(master, name):
conf = (Spa... | xniu7/jhuclass.genome.indexing | code/python/sort.py | sort.py | py | 3,476 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pyspark.SparkConf",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pyspark.SparkContext",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "radix.radixSort",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "segment.segSor... |
29216406296 | import logging
import os
import pwd
import sys
from aiohttp import web
from aiomisc.utils import bind_socket
from configargparse import ArgumentParser, ArgumentDefaultsHelpFormatter
from setproctitle import setproctitle
from yarl import URL
from megamarket.api.app import create_app
from megamarket.utils.argparse impo... | Dest0re/backend-school2022 | megamarket/api/__main__.py | __main__.py | py | 1,960 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "configargparse.ArgumentParser",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "... |
26239065759 | from __future__ import unicode_literals, absolute_import, print_function, division
import datetime
import time
from sopel.module import commands, rule, priority, thread
from sopel.tools import Identifier
from sopel.tools.time import seconds_to_human
@commands('seen')
def seen(bot, trigger):
"""Reports when and ... | examknow/Exambot-Source | sopel/modules/seen.py | seen.py | py | 2,014 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "datetime.datetime.utcfromtimestamp",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "sopel.tools.time.seconds_to_human",
"line_number": 28,
"usage_type": "call"
}... |
44613554676 | # coding=utf-8
import tensorflow as tf
import numpy as np
from data_helper import *
import gensim
import os
import time
import datetime
import csv
# TF log level
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
# Parameters
# ==================================================
flags = tf.flags
logging = tf.logging
# Data Param... | anonymous-2018-COLING/pan11 | eval.py | eval.py | py | 5,829 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.flags",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.logging",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "tensorf... |
8101746211 | # coding=utf-8
import streamlit as st
class selectValues():
def __init__(self):
self.points = ['腕', '肘', '膝', '頭', '投げ手', '足']
self.eval_kinds = ['パフォーマンス観点', '怪我観点']
self.timings = ['投げ始め', 'リリース時', '投げ終わり']
self.evaluates = ['○', '×']
self.total_evaluates = ['未評価', '1', '2... | ys201810/baseball_scoring_work | src/utils.py | utils.py | py | 743 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "streamlit.slider",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "streamlit.columns",
"line_number": 21,
"usage_type": "call"
}
] |
26185561724 | """
Example:
words = ['cat', 'baby', 'dog', 'bird', 'car', 'ax']
string1 = 'tabncihjs'
find_embedded_word(words, string1) -> cat (the letters do not have to be in order)
"""
import collections
from typing import List
import unittest
# Using sorting
# words = ['cat', 'baby', 'dog', 'bird', 'car', 'ax'] -> act, abbbd... | 01o91939/leetcode | embeddedWord.py | embeddedWord.py | py | 2,392 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "collections.Counter",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
... |
33511701341 | from collections import defaultdict
from src.data import data_manager
from src.data.neuron_info import ntype
from src.data.dataset_info import all_datasets, datasets_with_adj, timepoint
from src.plotting import plotter
class Figure(object):
def __init__(self, output_path, page_size=7.20472):
self.plt =... | dwitvliet/nature2021 | src/figures/feedforward.py | feedforward.py | py | 7,340 | python | en | code | 13 | github-code | 6 | [
{
"api_name": "src.plotting.plotter.Plotter",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "src.plotting.plotter",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "src.data.neuron_info.ntype",
"line_number": 17,
"usage_type": "call"
},
{
"api_... |
33502453233 | # encoding: utf-8
"""
"""
__author__ = 'Richard Smith'
__date__ = '31 Jul 2020'
__copyright__ = 'Copyright 2018 United Kingdom Research and Innovation'
__license__ = 'BSD - see LICENSE file in top-level package directory'
__contact__ = 'richard.d.smith@stfc.ac.uk'
from django.core.management.base import BaseCommand, ... | cedadev/archive-opensearch | django_opensearch/management/commands/retrieve_vocab_cache.py | retrieve_vocab_cache.py | py | 681 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "cci_tagger.facets.Facets",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "django.conf.settings.VOCAB_CACHE_FILE",
"line_number": 23,
"usage_type":... |
70211358588 | import json
import glob
import os
import re
import collections
import yaml
from yaml.parser import ParserError, ScannerError
from saddlebags import exceptions
SUPPORTED_FILE_TYPES = ['json', 'yaml', 'yml']
class Saddlebag(collections.MutableMapping):
"""
Provides access to the contents of JSON/YAML config... | eikonomega/saddlebags | saddlebags/saddlebag.py | saddlebag.py | py | 5,393 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.MutableMapping",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "re.search",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "glob.glob",... |
16000963484 | import datetime
import ipaddress
import unittest
from typing import Any, Optional
from dataclasses import dataclass
from podman import api
class ParseUtilsTestCase(unittest.TestCase):
def test_parse_repository(self):
@dataclass
class TestCase:
name: str
input: Any
... | mgorny/podman-py | podman/tests/unit/test_parse_utils.py | test_parse_utils.py | py | 2,083 | python | en | code | null | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "typing.Any",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "dataclasses.datacla... |
72470151548 | import cv2
import numpy as np
import os
import zipfile
from show import blob_imagem,alturaXlargura
from work import deteccoes, funcoes_imagem
from drive import driveFile
if not os.path.exists("modelo.zip"):
"""
Verifica se o modelo já se encontra no diretório
se não se encontra no diretória, então baixa o mesmo... | mauriciobenjamin700/IC_V2 | YOLO/experimentos/teste1/main.py | main.py | py | 2,342 | python | pt | code | 0 | github-code | 6 | [
{
"api_name": "os.path.exists",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "drive.driveFile",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "zipfile.ZipFile",
"li... |
32717608076 | import gymnasium as gym
from gymnasium import error, spaces, utils, Env
from gymnasium.spaces import MultiDiscrete, Box
from gymnasium.utils import seeding
import math
import pymunk
import pygame
from pymunk import pygame_util
screen_width = 1904
screen_height = 960
target = 350
class Robot():
def __init__(self, sp... | robertofiguz/2dWalker | Walker/envs/Walker_env.py | Walker_env.py | py | 15,192 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pymunk.Poly.create_box",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pymunk.Poly",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "pymunk.moment_for_poly",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pymunk... |
8280574767 | from heapq import heapify, heappop, heappush
import collections
'''
Time: O(n) + O(nlogk)
Space: O(n)
'''
class Solution:
def __init__(self, nums, k):
self.heap = []
self.k = k
self.nums = nums
def topk(self):
freq = collections.defaultdict(int)
for num in self.nu... | gadodia/Algorithms | algorithms/Arrays/topkfrequent.py | topkfrequent.py | py | 685 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.defaultdict",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "heapq.heappush",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "heapq.heappop",
"line_number": 24,
"usage_type": "call"
}
] |
22252725239 | import numpy as np
import optuna
import pandas as pd
import xgboost as xgb
from sklearn.metrics import f1_score, precision_score
from sklearn.model_selection import StratifiedKFold
from sklearn.metrics import recall_score
from sklearn.metrics import accuracy_score
def objective(trial, df, y):
params = {
'... | lutianzhou001/RegPull | ML/optuna_XGBoost.py | optuna_XGBoost.py | py | 3,097 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "sklearn.model_selection.StratifiedKFold",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "xgboost.XGBClassifier",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.f1_score",
"line_number": 33,
"usage_type": "call"
},
{... |
44593105346 | # script to create scatter plot for mean intensity ranking in three emotion
# categories. refer to readme for more information about survey and ranking
# task.
# 18 November 2018, Pulkit Singh
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
#------------------------------------------------... | pulkitsingh/IW-Emoji-Intensity | Emotion Word Survey/Word Intensity Ranking/Scatter plots mean/intensityRanking_mean.py | intensityRanking_mean.py | py | 2,743 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "seaborn.scatterplot",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "matp... |
70518540349 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
ServiceInterval
Application implementation classes.
"""
from copy import copy
from datetime import date, timedelta
from numbers import Number
import os
import pickle
import re
import warnings
__author__ = 'Don D.S.'
# Version of ServiceInterval.
VERSION = (1, 0)
cl... | zokalo/pyServiceInterval | servint_utils.py | servint_utils.py | py | 29,824 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.timedelta",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "copy.copy",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"... |
29373295052 | # External Packages
from fastapi import APIRouter
from fastapi import Request
from fastapi.responses import HTMLResponse, FileResponse
from fastapi.templating import Jinja2Templates
from khoj.utils.rawconfig import TextContentConfig, OpenAIProcessorConfig, FullConfig
# Internal Packages
from khoj.utils import constant... | debanjum/khoj | src/khoj/routers/web_client.py | web_client.py | py | 6,990 | python | en | code | 485 | github-code | 6 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "fastapi.templating.Jinja2Templates",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "khoj.utils.constants.web_directory",
"line_number": 16,
"usage_type": "attribute"
... |
71723914428 | """
-*- coding: utf-8 -*-
File : basepage.py
Version : 0.1
Author : usrpi
Date :2021/1/4
"""
import logging
import datetime
import os
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
# 封装基本函数 -- 执行日志、处理异常、失败截图
# 所有的页面公共部分，不涉及业务
class Base... | xianghuanng/futureloan_web | Common/basepage.py | basepage.py | py | 3,889 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.info",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "selenium.we... |
9828876779 | import sys
import os
from django.conf import settings
from django.core.management import execute_from_command_line
from django.conf.urls import url
from django.http import HttpResponse
from django.core.wsgi import get_wsgi_application
DEBUG = os.environ.get('DEBUG', 'on') == 'on'
print(DEBUG)
SECRET_KEY = os.environ... | wesksky/MyDjangoProject | TinyDjango/hello.py | hello.py | py | 913 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.environ.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_nu... |
10422156393 | from __future__ import annotations
import os
import platform
import re
import subprocess
import typing
from pathlib import Path
from PySide6 import QtCore, QtGui, QtWidgets
import randovania
from randovania import get_data_path
if typing.TYPE_CHECKING:
from collections.abc import Iterator
def map_set_checked(... | randovania/randovania | randovania/gui/lib/common_qt_lib.py | common_qt_lib.py | py | 9,466 | python | en | code | 165 | github-code | 6 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "collections.abc.Iterator",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "PySide6.QtWidgets.QCheckBox",
"line_number": 19,
"usage_type": "attribute"
},
{
... |
14852879493 | import logging
from datetime import timedelta
import requests
from django.db import models
from django.utils.six import string_types
from django.utils import timezone
from requests_oauthlib import OAuth2Session
from killboard import app_settings
from killboard.errors import TokenError, IncompleteResponseError
logger... | DeForce/py_killboard | killboard/managers.py | managers.py | py | 5,176 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.db.models.QuerySet",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "dja... |
10132276502 | import plotly.express as px
import plotly.graph_objects as go
import pandas as pd
from plotly.subplots import make_subplots
import os
import plotly.io as pio
pio.renderers.default = "browser"
num_of_interviews = [0, 1, 2, 3]
y_list = 3
x_list = 6
current = False
trend = False
# example: communication = 0
specific_a... | Fabbochan/master_thesis_figures | datavisualization_heatmap.py | datavisualization_heatmap.py | py | 5,880 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "plotly.io.renderers",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "plotly.io",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "plotly.graph_objects.Scatterpolar",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "pl... |
35266444899 | import os
# os.environ['CUDA_VISIBLE_DEVICES'] = '-1'
import tensorflow as tf
import keras
# from keras import layers
from sempler import Dataset, DatasetSide, DatasetSoft
from wave_u_net import wave_u_net
from loss import combined_loss, ScatterLoss, RegulatedLoss
from call_back import CustomCallback
from keras.callb... | ondra117/lil_neuron | learning.py | learning.py | py | 3,143 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "wave_u_net.wave_u_net",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
... |
33237880927 | from numpy import mean
from numpy import std
from matplotlib import pyplot as plt
from sklearn.model_selection import KFold
from tensorflow.keras.datasets import mnist
from tensorflow.keras.utils import to_categorical
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Conv2D, MaxPooling2... | husainasad/Digit-Classifier | model.py | model.py | py | 3,607 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tensorflow.keras.datasets.mnist.load_data",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.datasets.mnist",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "tensorflow.keras.utils.to_categorical",
"line_number": 19,
"usa... |
35014338143 | # coding: utf-8
from flask import jsonify
from app import app
class Error():
'''
HTTP Response Error
'''
def __init__(self):
self.status = None
self.code = None
self.message = None
self.errors = None
def _ready(self, log_level='info'):
if log_level == 'cr... | jasonsmithj/spam_public | app/http/error.py | error.py | py | 2,234 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "app.app.logger.critical",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "app.app.logger",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "app.app",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "app.app.logger.in... |
37107835911 | #!/usr/bin/python
# -*- coding: utf8 -*-
import sys
import cherrypy
import platform
import os
import time
cur_dir = os.path.dirname(os.path.abspath(__file__))
#python 2.4为simplejson，python 2.6以上为json
try:
import json
except ImportError:
import simplejson as json
... | lxcong/lvs-manager | monitor_agent/run.py | run.py | py | 12,755 | python | en | code | 160 | github-code | 6 | [
{
"api_name": "os.path.dirname",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cherrypy.expose",
"line... |
9797629811 | #client berada di sisi remote, client hanya mmebutuhkan
# dependency kepada library Pyro5
import Pyro5.api
if __name__=='__main__':
# untuk mengecek service apa yang ada di ns, gunakan pyro5-nsc -p 9900 list
#dalam kasus ini namanya adalah phonebook.server
phonebook = Pyro5.api.Proxy('PYRONAME:phonebook... | rm77/sister2020 | client/client.py | client.py | py | 600 | python | id | code | 0 | github-code | 6 | [
{
"api_name": "Pyro5.api.api.Proxy",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "Pyro5.api.api",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "Pyro5.api",
"line_number": 10,
"usage_type": "name"
}
] |
16030870954 | import os
import cv2
import time
import random
import numpy as np
import pandas as pd
import keras.api._v2.keras as keras
import tensorflow as tf
tf.__version__, np.__version__
from tensorflow.keras.applications.inception_v3 import preprocess_input
from tensorflow.keras import backend, layers, metrics
from tensorflow.... | gamal-abdelhakm/Handwritten-Signature-Identification-Verification-and-Detection | Script/Functions.py | Functions.py | py | 8,768 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "tensorflow.__version__",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "numpy.__version__",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.p... |
9816914464 | #!/usr/bin/env python
# coding: utf-8
# # Ici on va importer les packages de Python
# In[14]:
import gudhi as gd
import scipy.io as sio
import math
import matplotlib.pyplot as plt
import numpy as np
# # On donne les coordonnées de chaque atome
# In[16]:
coords = {'Ti':[[5,5,5]], 'O':[[5, 5, 10], [5, 10, 5], ... | Fouad-Mazguit/rapport-data | Data/CaTiO3/les nombres de Betti.py | les nombres de Betti.py | py | 1,641 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "numpy.zeros",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.norm",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"li... |
10629931945 | import logging
import pytest
import nengo
from nengo.builder import Model
from nengo.builder.ensemble import BuiltEnsemble
def test_seeding(Simulator, allclose):
"""Test that setting the model seed fixes everything"""
# TODO: this really just checks random parameters in ensembles.
# Are there other ... | Kanaderu/Neural-Networks | nengo-master/nengo/tests/test_builder.py | test_builder.py | py | 4,239 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "nengo.Network",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "nengo.Node",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "nengo.Ensemble",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "nengo.Ensemble",
"line_nu... |
42857124490 | import pytest
from django.conf import settings
from django.test import override_settings
from .compat import nullcontext
def pytest_configure():
settings.configure(
**dict(
SECRET_KEY="abcd",
INSTALLED_APPS=[
"django.contrib.auth",
"django.contrib.s... | thaitl235/djangorestframework-api-key | tests/conftest.py | conftest.py | py | 2,739 | python | en | code | null | github-code | 6 | [
{
"api_name": "django.conf.settings.configure",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.conf.settings",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "rest_framework.response.Response",
"line_number": 39,
"usage_type": "call"
},
{
... |
38713930072 | from collections import defaultdict, deque
def bfs(graph, start):
visited = set()
queue = deque([start])
while queue:
vertex = queue.popleft()
if vertex not in visited:
visited.add(vertex)
print(vertex, end=' ')
for neighbor in graph[verte... | pogchumpus55/AI | bfs.py | bfs.py | py | 765 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 19,
"usage_type": "call"
}
] |
19355802413 | from datetime import datetime
import csv
AIRPORTS_DB_LINK = "https://raw.githubusercontent.com/cohaolain/ryanair-py/develop/ryanair/airports.csv"
AIRPORTS_DB_FILE = "data/airports.csv"
AIRPORTS_TIMESTAMP_FILE = "data/airports_timestamp.txt"
airports = None
def get_distance(lat1, lat2, lon1, lon2):
from math impo... | slotruglio/flights-radar | utils/airports.py | airports.py | py | 3,444 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "math.radians",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "math.radians",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "math.radians",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "math.radians",
"line_numbe... |
32569222248 |
# -*- coding: utf-8 -*-
###############################################################################
# License, author and contributors information in: #
# __manifest__.py file at the root folder of this module. #
#######################################################... | dip-ergo/tex-fasteners | mto_chain/models/inherit.py | inherit.py | py | 4,293 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "odoo.models.Model",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "odoo.fields.Datetime",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "odoo.fields",... |
70280896828 | from abc import ABC, abstractmethod
from nltk.translate.bleu_score import sentence_bleu
from bert_score import score as bert_score
from BARTScore import bart_score
import argparse
class SimilarityClass(ABC):
def __init__(self):
pass
@abstractmethod
def get_similarity(self):
pass
class ... | esteng/ambiguous_vqa | analysis/abstract_class.py | abstract_class.py | py | 3,112 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "abc.ABC",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "abc.abstractmethod",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "nltk.translate.bleu_score.sentence_bleu",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "nlt... |
41762485594 | from tkinter import *
from forex_python.converter import CurrencyRates
FONT = ("Arial", 20, "bold")
BG = "#B6D0E2"
def display_selected_1(choice):
""" Select first currency from dropdown menu and display on label """
choice = clicked_1.get()
enter_amount_label.config(text=choice)
def display... | vaibhav-bisen/Python_Projects | Currency Convertor/main.py | main.py | py | 2,666 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "forex_python.converter.CurrencyRates",
"line_number": 26,
"usage_type": "call"
}
] |
37961270756 | import dash_html_components as html
import dash
from dash.dependencies import Input, Output
import dash_table
import pandas as pd
import dash_core_components as dcc
df = pd.read_csv('GraphVisualizationLearning\/data.csv')
# print(df['seed'][2])
# print(df['seed'])
del df['seed']
# df = df.dropna()
dff = df[["Config",... | shashank793/DataVisualisation | venv/simple_graph/create_tabl.py | create_tabl.py | py | 6,981 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "dash.Dash",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "dash_html_components.Div",
"line_number": 87,
"usage_type": "call"
},
{
"api_name": "dash_html_component... |
37048610245 |
from flask import Blueprint, jsonify, render_template,request,flash,redirect,url_for, session
import json
import sqlite3
from numpy import empty
from .excel_data import Device_Excel_Table, get_arr, get_by_ID_from_table
from .location import get_all_location
from .data_processing.index import database_initialization
fr... | Kelly-Kxx/fyp_selenium_flask | website/views.py | views.py | py | 6,347 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Blueprint",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "flask.request... |
2052137958 | # Program to try and work out the power spectrum
import numpy as np
import matplotlib.pyplot as plt
from scipy.fftpack import fft, fftfreq, ifft
n = 1024
Lx = 100
omg = 2.0*np.pi/Lx
x = np.linspace(0, Lx, n)
y1 = 1.0*np.cos( 5.0*omg*x)
y2 = 1.0*np.sin(10.0*omg*x)
y3 = 0.5*np.sin(20.0*omg*x)
y = y1 + y2 + y3
act = y1... | arunprasaad2711/Python_IISC_SIAM_2017 | Programs_Session3/06_FFT_IFFT_example.py | 06_FFT_IFFT_example.py | py | 2,057 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "numpy.pi",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "numpy.linspace",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.cos",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": ... |
19491332687 | import requests
import hashlib
import datetime
import pandas as pd
"""Script that accesses Marvel API and gets 30 characters."""
#Access Marvel API (needed: Timestamp, privkey, publickey, hash)
timestamp = datetime.datetime.now().strftime('%Y-%m-%d%H:%M:%S')
pub_key = '' #insert public key
priv_key = '' #insert priva... | Guibas1812/create-api-marvel-characters | initial_data.py | initial_data.py | py | 3,441 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "hashlib.md5",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "requests.get",... |
10552839170 | import abc
import dataclasses
from typing import Optional, Union
import numpy as np
import numpy.typing as npt
import rod
from rod import logging
@dataclasses.dataclass
class PrimitiveBuilder(abc.ABC):
name: str
mass: float
element: Union[
rod.Model, rod.Link, rod.Inertial, rod.Collision, rod.V... | ami-iit/rod | src/rod/builder/primitive_builder.py | primitive_builder.py | py | 8,450 | python | en | code | 11 | github-code | 6 | [
{
"api_name": "abc.ABC",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "typing.Union",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "rod.Model",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "rod.Link",
"line_number"... |
30138374155 | # !/usr/local/python/bin/python
# -*- coding: utf-8 -*-
# (C) Wu Dong, 2020
# All rights reserved
# @Author: 'Wu Dong <wudong@eastwu.cn>'
# @Time: '2020-04-01 09:47'
# sys
import typing as t
from functools import wraps
from inspect import isfunction
from inspect import getfullargspec
# 3p
from flask import ( # pylint:... | Eastwu5788/pre-request | pre_request/request.py | request.py | py | 13,075 | python | en | code | 55 | github-code | 6 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "typing.Optional",
"line_number": 53,
"usage_type": "attribute"
},
{
"api_name": "typing.Optional",
"line_number": 55,
"usage_type": "attribute"
},
{
"api_name": "t... |
42344160389 | import pandas as pd # pip install pandas openpyxl
import plotly.express as px # pip install plotly-express
import streamlit as st # pip install streamlit
# emojis: https://www.webfx.com/tools/emoji-cheat-sheet/
st.set_page_config(page_title="Segmentation Analysis", page_icon=":bar_chart:", layout="wide")
# ---- RE... | yodialfa/Segmentation_Recomendation | app.py | app.py | py | 7,164 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "streamlit.set_page_config",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 149,
"usage_type": "attribute"
},
{
"api_name": "strea... |
39176281823 | #Import files
import sys
import serial
import SLMC601V17_RS485_COM_Frames as SLMC_Frames
#Determine determine which port was provided
PORT = sys.argv[1]
#Check that port provided...
# contains ttyUSB
sizeOfPort = len(PORT)
sizeOfTTY = len("ttyUSB#")
subString = PORT[sizeOfPort-sizeOfTTY:sizeOfPort-1]
if(subString !... | aarontwillcock/SLMC601V1.7-RS485-Tool | SLMC601V17_RS485_COM_RX.py | SLMC601V17_RS485_COM_RX.py | py | 3,797 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "serial.Serial",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "SLMC601V17_RS485_COM_Frames.BMS_RET_AAB",
"line_number": 70,
"usage_type": "attribute"
},
{
"api_name"... |
37122133332 | from flask import request
from flask_restx import Resource
from app.main.util.decorator import admin_token_required
from ..service.inventory_service import get_all_inventories, save_new_inventory, get_an_inventory, update_inventory, delete_inventory_method
from ..util.dto import InventoryDto
api = InventoryDto.api
in... | miteshnath/inventory-management-module | app/main/controller/inventory_controller.py | inventory_controller.py | py | 2,780 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "util.dto.InventoryDto.api",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "util.dto.InventoryDto",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "util.dto.InventoryDto.inventory",
"line_number": 9,
"usage_type": "attribute"
},
{... |
23089748371 | import pygame as pg
class Scoreboard:
"""Represents the score in game"""
def __init__(self, game):
"""Initializes the properties of the scoreboard"""
self.settings = game.settings
self.screen = game.screen
self.screen_rect = self.screen.get_rect()
self.text_color = (... | jackloague1/Space-Invaders-Project | Space-Invaders-Project/scoreboard.py | scoreboard.py | py | 1,770 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.font.SysFont",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pygame.font",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "pygame.SRCALPHA",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "pygame.SRCA... |
14279218231 | from .IngestorInterface import IngestorInterface
from .QuoteModel import QuoteModel
from typing import List
import subprocess
import os
import random
class PDFIngest(IngestorInterface):
"""Subclass of IngestorInterface specific for .docx files."""
ingestMode =['pdf']
@classmethod
def parse(cls, pa... | JPNaan/MEMEGenerator | MEMEGenerator/src/QuoteEngine/IngestPDF.py | IngestPDF.py | py | 1,466 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "IngestorInterface.IngestorInterface",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "random.randint",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.... |
43721467284 | # -*- coding: utf-8 -*-
__author__ = 'SinGle'
__date__ = '2020/06/26 14:39'
import re
from flask import current_app
from app.lib.Snapshot import Snapshot
def param_handler(params, action):
if "SNAPSHOTNAME" not in params.keys() or re.search("[\\\\,./\\x20]", params["SNAPSHOTNAME"]):
snapshot_name = Non... | xSinGle/Snapshot | app/lib/Helper.py | Helper.py | py | 1,419 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "re.search",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "flask.current_app.logger.error",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "flask.current_app... |
27638879954 | # -*- coding: utf-8 -*-
""" Region/Anvil Serializer and Deserializer
https://minecraft.gamepedia.com/Region_file_format
https://minecraft.gamepedia.com/Anvil_file_format
"""
from collections import defaultdict
# from datetime import datetime
from enum import IntEnum
import gzip
from math import ceil
import os
import ... | xSetech/aPyNBT | aPyNBT/region.py | region.py | py | 8,686 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "re.compile",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "typing.Tuple",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "enum.IntEnum",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number":... |
19409761077 | import asyncio
import os
import datetime
import discord
from discord import channel
from discord.ext import commands
from discord_slash import SlashCommand, SlashContext, cog_ext
from discord_slash.utils.manage_commands import create_option, create_choice
from core.classes import CogExtension
class System(CogExtensio... | TimTsai0316/MinatoBot | cmds/system.py | system.py | py | 2,045 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "core.classes.CogExtension",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "discord_slash.SlashContext",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "discord.Embed",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "da... |
74025602427 | import modules
from templates.quick_replies import add_quick_reply
from templates.text import TextTemplate
from templates.button import *
entities = {
'type':None,
'choice':None
}
def process(input, entities = None):
print('process',input,entities)
output = {}
if entities['type'] == None:
... | anne030303/messenger-landbot | modules/src/lease_contract.py | lease_contract.py | py | 5,963 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "templates.text.TextTemplate",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "templates.quick_replies.add_quick_reply",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "modules.generate_postback",
"line_number": 18,
"usage_type": "call"
... |
24470944971 | import tensorflow as tf
import numpy as np
from malaya.text.function import (
language_detection_textcleaning,
summarization_textcleaning,
split_into_sentences,
transformer_textcleaning,
pad_sentence_batch,
upperfirst,
)
from malaya.text.rouge import postprocess_summary
from malaya.text.bpe impo... | MuzyAce/malaya | malaya/model/tf.py | tf.py | py | 20,513 | python | en | code | null | github-code | 6 | [
{
"api_name": "numpy.array",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "malaya.model.abstract.Classification",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "malaya.text.function.language_detection_textcleaning",
"line_number": 51,
"usage_type": ... |
8866112441 | import numpy as np
import cv2 as cv
def bitfield(n):
return [int(digit) for digit in bin(n)[2:]]
def gerar_mensagem(mensagem):
lista = []
for m in mensagem:
val = ord(m)
bits = bitfield(val)
if len(bits) < 8:
for a in range(8-len(bits)):
bits.insert(0... | joaofxp/computer-science-univali | Python/M2/Trabalho 2/main.py | main.py | py | 3,084 | python | pt | code | 0 | github-code | 6 | [
{
"api_name": "numpy.array",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 46,
"usage_type": "call"
}
] |
9790493238 | """backend URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.1/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based... | wiksla/f5-bigip-journeys-app | journeys/backend/urls.py | urls.py | py | 1,978 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rest_framework_nested.routers.SimpleRouter",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "rest_framework_nested.routers",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "rest_framework_nested.routers.NestedSimpleRouter",
"line_number": 25... |
33560462969 | """Program to List, Create, Add, Edit, Delete contacts and save to a JSON file"""
import json
class CreateContact:
""""""
def __init__(self, fname, lname, phone): #constructor
self.fname = fname
self.lname = lname
self.phone = phone
def create_new_contact(self):
cont... | alenantony/Alokin-Task | Day2/contact.py | contact.py | py | 10,501 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.loads",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 99,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 111,... |
25598775886 | import sys
import numpy as np
import cv2
def main():
source_window = "source_image"
gray_window = "gray"
otsu_window = "otsu_threshold"
edge_window = "edge"
gray_img = cv2.imread(sys.argv[1], cv2.IMREAD_GRAYSCALE)
threshold1 = 0
threshold2 = 100
edge_img = cv2.Canny(gray_img, threshol... | NMurata07/findContours | main.py | main.py | py | 852 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.imread",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "cv2.IMREAD_GRAYSCALE",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "cv2.Canny",
"l... |
70465705787 | import numpy as np
import scipy
import scipy.sparse.linalg
import scipy.sparse as sparse
from scipy.linalg import expm
from copy import deepcopy
##################################################
# auxiliary function for time evolution method #
##################################################
def TEO_two_sites(MPO... | ZhaoYilin/modelham | modelham/tensornetwork/auxiliary.py | auxiliary.py | py | 12,711 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.zeros",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.kron",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.reshape",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "scipy.linalg.expm",
"line_nu... |
43469204471 | from __future__ import annotations
import yaml
import os
import errno
__all__ = ["save_setup", "read_setup"]
def save_setup(setup: dict, path: str):
"""
Save Model initialization setup dictionary.
Parameters
----------
setup : dict
The setup dictionary to be saved to `YAML <https://yaml... | DassHydro-dev/smash | smash/io/setup_io.py | setup_io.py | py | 2,170 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "yaml.dump",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 85,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 85,
"usage_type": "attribute"
},
{
"api_name": "yaml.safe_load",
"line_numb... |
3360586236 | """
백준 1012 : 유기농 배추
"""
"""
BFS - Breath first Search
한번 방문한 지점은 절대로 다시 방문하지 않는다.
"""
from collections import deque
import sys
input=sys.stdin.readline
dx=[-1,1,0,0]
dy=[0,0,-1,1]
# ( -1, 0) ( 1,0) ( 0,-1) (0,1)
def BFS(graph,visit , x, y):
deq=deque()
deq.append([x,y])
visit[x]... | 030831/2023-Winter_Vacation_GroupStudy | 1012.py | 1012.py | py | 1,301 | python | ko | code | 0 | github-code | 6 | [
{
"api_name": "sys.stdin",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 21,
"usage_type": "call"
}
] |
22844256236 | nstations = int(input())
nlines = int(input())
station_lines = {} # station -> lines
for i in range(nlines):
_, *stations = map(int, input().split())
for st in stations:
station_lines.setdefault(st, []).append(i)
start, end = map(int, input().split())
#===
from itertools import combinations
fr... | sergey-ryzhikov/yandex-alogotrain-3.0B | t40.py | t40.py | py | 1,563 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "itertools.combinations",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 34,
"usage_type": "call"
}
] |
13289274017 | import os
import platform
import sys
try:
from pip._internal.operations import freeze
except ImportError: # pip < 10.0
from pip.operations import freeze
py_version = sys.version.replace("\n", " ")
py_platform = platform.platform()
pkgs = freeze.freeze()
pip_pkgs = "\n".join(
pkg
for pkg in pkgs
... | kalaracey/runhouse | collect_env.py | collect_env.py | py | 1,178 | python | en | code | null | github-code | 6 | [
{
"api_name": "sys.version.replace",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.version",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "platform.platform",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pip.operations... |
12011303368 | import os
from dataclasses import dataclass
from typing import Dict, List, Optional, Tuple
import pandas as pd
import textstat
# Set absl logging to warning s.t. we don't see "INFO:absl:Using default tokenizer." for each rouge calculation
from absl import logging
from langdetect import detect
from sitaevals.common i... | AsaCooperStickland/situational-awareness-evals | sitaevals/tasks/assistant/evaluator.py | evaluator.py | py | 17,920 | python | en | code | 23 | github-code | 6 | [
{
"api_name": "absl.logging.set_verbosity",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "absl.logging",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "absl.logging.WARNING",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "typ... |
13031397171 | import rospy, sys, tf
import moveit_commander
from math import *
from geometry_msgs.msg import PoseStamped
from moveit_commander import MoveGroupCommander, PlanningSceneInterface
from moveit_msgs.msg import PlanningScene, ObjectColor
from moveit_msgs.msg import Grasp, GripperTranslation
from moveit_msgs.msg import Move... | sniper0110/Turtlebot_arm | turtlebot_arm_moveit_demos/bin/pick_and_place.py | pick_and_place.py | py | 17,847 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "moveit_commander.roscpp_initialize",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "rospy.init_node",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "rosp... |
21764328772 | # Approach 1 - Breadth-First Search
# Time: O(N)
# Space: O(N)
from collections import deque
class Solution:
def orangesRotting(self, grid: List[List[int]]) -> int:
queue = deque()
# build the initial set of rotten oranges
fresh_oranges = 0
ROWS, COLS = len(grid), len(gri... | jimit105/leetcode-submissions | problems/rotting_oranges/solution.py | solution.py | py | 1,876 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 10,
"usage_type": "call"
}
] |
10420754903 | from __future__ import annotations
import asyncio
import os
import platform
import re
from asyncio import IncompleteReadError, StreamReader, StreamWriter
from pathlib import Path
from typing import TYPE_CHECKING
from randovania.patching.patchers.exceptions import UnableToExportError
if TYPE_CHECKING:
from collec... | randovania/randovania | randovania/games/prime2/patcher/csharp_subprocess.py | csharp_subprocess.py | py | 3,321 | python | en | code | 165 | github-code | 6 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "asyncio.AbstractEventLoop",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "platform.system",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "p... |
6727548995 | from django.utils import timezone
from .models import Post, IP
from django.shortcuts import render, get_object_or_404, redirect
from .forms import PostForm, Login
from django.contrib.auth.decorators import login_required, PermissionDenied, user_passes_test
import json
from datetime import timedelta
from django.utils.ti... | Dado-pixel/my-second-blog | blog/views.py | views.py | py | 4,046 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "flask.request.META.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "flask.request.META",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "flask.re... |
21456848433 | #works but need to find out how to add sound
import datetime
from playsound import playsound
alarmhour = int(input("Enter Hour: "))
alarmins = int(input("Enter Minutes: "))
alarmAm = input("AM / PM: ").upper()
if alarmAm == "pm".upper():
alarmhour += 12
while True:
if alarmhour == datetime.datetime.now().hou... | MortalKhangbat/MACnCHEESE | alarm_clock.py | alarm_clock.py | py | 479 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "playsound.playsound",
"line_number": 14,
"usage_type": "call"
}
] |
17968730699 | # Databricks notebook source
# MAGIC %md
# MAGIC # Train Machine Learning Model
# MAGIC
# MAGIC This notebook aims to develop and register an MLFlow Model for deployment consisting of:
# MAGIC - a machine learning model to predict the liklihood of employee attrition.
# MAGIC
# MAGIC This example uses an adapted versio... | nfmoore/azure-databricks-mlops-example-scenarios | core/notebooks/train_model.py | train_model.py | py | 7,954 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "pandas.DataFrame",
"line_number": 87,
"usage_type": "attribute"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 94,
"usage_type": "call"
},
{
"api_name": "typing.Tuple",
"line_number": 87,
"usage_type": "name"
},
{
"api_n... |
39702394709 | from flask import Blueprint
from flask import render_template, url_for, request
from flask import make_response, send_from_directory
from werkzeug.utils import secure_filename
import os
from apps.xmind2caseapp import write2excel, xmind2case
x2c = Blueprint('x2c',__name__)
# workpath = os.getcwd()
workpath=os.path.di... | siqyka/QtestTool | x2c.py | x2c.py | py | 1,860 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Blueprint",
"line_number": 8,
"usage_type": "call"
},
{
"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.realpath",
"l... |
2338682136 | import pandas as pd
import numpy as np
import json
from collections import defaultdict
from play_by_play import PlayByPlay
#define front end variables
DATE = '2015-12-25'
SEASON = '2015-16'
SEASON_TYPE = 'Regular+Season' # 'Regular+Season' or 'Playoffs'
HOME_TEAM = 'LAL'
def build_df(json):
rows = []
for fr... | nalin1096/DS5500_Player_Tracking_and_Identification_NBA | helpers/play_by_play/pbp_ocr.py | pbp_ocr.py | py | 4,444 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "pandas.DataFrame",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "play_by_play.PlayB... |
30434077830 | #%%
# 신호 기록 가져오기
with open('sample_20200601_pointfinger.txt', 'r') as openfile :
samples = openfile.readlines()
tmp_timests = [ samples[i][:-1] for i in range(len(samples)) if i%3==0 ]
tmp_samples = [ samples[i][:-1] for i in range(len(samples)) if i%3==1 ]
#%%
# 중복된 시간 기록 제거
timests, samples = list(), list()
del... | oimq/DoTheEHands | SignalAnalyzer.py | SignalAnalyzer.py | py | 6,880 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.font_manager.get_fontconfig_fonts",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "matplotlib.font_manager",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "matplotlib.rc",
"line_number": 26,
"usage_type": "call"
},
{
... |
13303955971 | from fastapi import APIRouter
from app.libraries.libpermission import Permission
from app.schemas.permission import PermissionModel, PermissionUpdateModel, PermissionCreateModel
router = APIRouter(tags=["permission"])
oPermission = Permission()
@router.get("/permission/schema")
async def get_permission_schema(joined:... | treytose/Pyonet-API | pyonet-api/app/routers/permission.py | permission.py | py | 1,440 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "app.libraries.libpermission.Permission",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "app.schemas.permission.PermissionCreateModel",
"line_number": 21,
"usage_type": "n... |
29127983258 | from django.test import TestCase
from django.utils.translation import ugettext_lazy as _
from social_links import forms
class LinksFormTests(TestCase):
def taset_clean_url(self):
valid_urls = [['https://www.example.com','https://www.example.com']
['http://www.example.com','http://w... | TimBest/ComposersCouch | social_links/tests/tests_forms.py | tests_forms.py | py | 5,893 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "django.test.TestCase",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "social_links.forms.clean_url",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "social_links.forms",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "d... |
34371656679 |
############################################################################################################
from colorama import *
import os
import requests
import re
############################################################################################################
def search_words_in_file(file_path,... | OMGmultitools/Anti-Grabber | Anti Grabbee.py | Anti Grabbee.py | py | 3,123 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.system",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 41,
... |
438092224 | from django.http import HttpResponse
from django.shortcuts import redirect, reverse, render
from cart.models import Cart, Item, OrderItem, Basket
from product_listing.models import Product
import cart.forms
import datetime
from django.contrib.auth import authenticate
# Create your views here.
def index(request):
cont... | ftaoussi/COMP307---Marketplace | cart/views.py | views.py | py | 4,769 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cart.models.Cart.objects.filter",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cart.models.Cart.objects",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "cart.models.Cart",
"line_number": 14,
"usage_type": "name"
},
{
"ap... |
35177658753 | import numpy as np
from sklearn.model_selection import train_test_split
class ToyDataset:
def __init__(self, min_len, max_len):
self.SOS = "<s>"
self.EOS = "/<s>"
self.characters = list("abcd")
self.int2char = self.characters
# 1 for SOS, 1 for EOS, 1 for padding
... | xuzhiyuan1528/tf2basic | Seq2Seq/Utils.py | Utils.py | py | 2,080 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.random.randint",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 35,
"usage_type": "attribute"
},
{
"a... |
40140601153 | import streamlit as st
import pandas as pd
st.set_page_config(layout="wide")
col1, col2 = st.columns([3, 1])
option = None
df = pd.read_csv('reuters_summaries.csv')
with col2:
st.write("")
st.write("")
st.write("")
st.write("")
st.write("")
option = st.selectbox('', ['Crude Oil', 'Biofuel'])... | Jayanth-Shanmugam/news-articles-summarization | pages/Reuters.py | Reuters.py | py | 1,302 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "streamlit.set_page_config",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "streamlit.columns",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "streamlit.wr... |
39697377859 | import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits import mplot3d
# index boundaries for time 3D plot
nStart = 140000
nEnd = 160000
with open("time_series_stochastic_old.txt", "r") as file:
lines = file.readlines()
time = []
intensity = []
E_real = []
E_imag = []
for line in lines:... | sir-aak/microscopically-derived-rate-equations | plotscripts/mdre_plotscript_spiking_detail.py | mdre_plotscript_spiking_detail.py | py | 1,701 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "numpy.array",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": ... |
75051539708 | # -*- coding: utf-8 -*-
r"""
tests.test_state
~~~~~~~~~~~~~~~~
Tests for the \p State class including movement mechanics and enumeration of the \p MoveSet
class.
:copyright: (c) 2019 by Zayd Hammoudeh.
:license: MIT, see LICENSE for more details.
"""
from typing import Tuple
import pytest
fr... | ZaydH/stratego | src/tests/test_state.py | test_state.py | py | 14,130 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "stratego.player.Player",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "stratego.location.Location",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "strate... |
36813380552 | """empty message
Revision ID: 073719702e2e
Revises: 23ecd00cae18
Create Date: 2020-03-29 13:31:19.799319
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '073719702e2e'
down_revision = '23ecd00cae18'
branch_labels = None
depends_on = None
def upgrade():
# ... | koiic/project-tracker | migrations/versions/073719702e2e_.py | 073719702e2e_.py | py | 1,333 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "alembic.op.create_table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integ... |
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