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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
336965625 | from django.db import models
from cart.models import Cart
from ecommerce.utils import unique_order_id_generator
from django.db.models.signals import pre_save, post_save
import math
from billing.models import BillingProfile
ORDER_STATUS_CHOICES = (
('created', 'Created'),
('paid', 'Paid'),
('shipp... | null | ecommerce/orders/models.py | models.py | py | 2,349 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.db.models.Model",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "django.db.models.ForeignKey",
"line_number": 18,
"usage_type": "call"
},
{
"api_name... |
194565886 | #!/usr/bin/env python
from __future__ import absolute_import, unicode_literals
import os
import math
import urllib3
from retry import retry
from concurrent import futures
from urllib3 import Timeout
from planetutils import download
from planetutils import log
from planetutils.bbox import validate_bbox
def makedirs... | null | planetutils/elevation_tile_downloader.py | elevation_tile_downloader.py | py | 5,148 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.makedirs",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "urllib3.Timeout",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "urllib3.PoolManager",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "planetutils.download"... |
593197931 | from itertools import accumulate
import sys
import itertools
import math
import random
from copy import deepcopy
if len(sys.argv) < 2:
print ("you must provide a textfile in system argument")
exit(0)
def read_file(textfile):
f=open(textfile)
for i in range(7):
f.readline()
lines = f.readli... | null | tsp_uniform_cross_over.py | tsp_uniform_cross_over.py | py | 5,451 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.argv",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "random.uniform",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": ... |
298343476 | try:
from flask import Flask, session
from flask_session import Session
from flask_oidc import OpenIDConnect
from flask_wtf.csrf import CSRFProtect
from jinja2 import Template
except:
raise ImportError("Unable to access Flask")
from totpshare.config import Config, OIDC_CREATE_SECRETS
from totps... | null | totpshare/totpshare.py | totpshare.py | py | 1,531 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.session",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "flask.session",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "flask.Flask",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "totpshare.config.Config",
... |
471481356 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from rest_framework.response import Response
from rest_framework.decorators import api_view
@api_view(["GET"])
def root(request):
"""
Retrieve all endpoints that are implemented
"""
data = {
"status": True,
"result": [
"/",
"/meta/heartbe... | null | src/service/encrypted/encrypted/views.py | views.py | py | 536 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "rest_framework.response.Response",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "rest_framework.decorators.api_view",
"line_number": 8,
"usage_type": "call"
}
] |
343083774 | """
Extract objects
"""
import pandas as pd
import json
import pymongo
from pymongo import MongoClient
import os
import logging
logging.basicConfig(format='%(levelname)s :: %(asctime)s :: %(message)s', level=logging.DEBUG)
import time
import io
from PIL import Image
import re
from joblib import Parallel, delayed
import... | null | services/extract_objs/src/extract.py | extract.py | py | 4,937 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.basicConfig",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "re.compile",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
... |
634661231 | import configparser
import os
HOME = os.path.expanduser('~')
SETTINGS_FILE = os.path.join(HOME, ".tgl")
app_settings = {
"api_url": "https://www.toggl.com/api/v8",
"reports_url": "https://www.toggl.com/reports/v2"
}
def load_settings():
parser = configparser.ConfigParser()
parser.read(SETTINGS_FILE)... | null | app/conf.py | conf.py | py | 495 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.expanduser",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number"... |
179126634 | from typing import Any
import pytorch_lightning as pl
import torch
from torch import nn
from torch import optim
from torch.optim import lr_scheduler
from libs.graphs.cnn import *
from libs.graphs.mlp import *
from utils.init_weight import init_model
class ImageClassifier(pl.LightningModule):
def __init__(self, ... | null | agents/img_classifier.py | img_classifier.py | py | 2,721 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pytorch_lightning.LightningModule",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "typing.Any",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "torch.nn",
"line_number": 21,
"usage_type": "argument"
},
{
"api_name": "utils.... |
81241428 | # encoding: UTF-8
"""Library for running an EPICS-based virtual accelertor using IMPACT particle tracker."""
from __future__ import print_function
__copyright__ = "Copyright (c) 2015, Facility for Rare Isotope Beams"
__author__ = "Dylan Maxwell"
import os.path, tempfile, random, shutil, numpy, re
import subprocess... | null | phyutil/machine/frib/virtaccel/impact.py | impact.py | py | 41,549 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "phylib.layout.accel.SeqElement",
"line_number": 135,
"usage_type": "argument"
},
{
"api_name": "phylib.cfg.Configuration",
"line_number": 168,
"usage_type": "argument"
},
{
... |
596726026 | # Copyright 2017 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | null | upvote/gae/datastore/models/santa_test.py | santa_test.py | py | 14,957 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "upvote.gae.lib.testing.basetest.UpvoteTestCase",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "upvote.gae.lib.testing.basetest",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "upvote.gae.datastore.models.santa.SantaBlockable",
"line_... |
365734379 | import subprocess
from os import makedirs
from os.path import exists
from os.path import join
from subprocess import call
from requests import get
from faasmcli.util.env import FAASM_HOME
def download_proj(url, filename, extension="tar.gz", tar_args="-xf", extract_file=None):
if not exists(FAASM_HOME):
... | null | faasmcli/faasmcli/util/download.py | download.py | py | 1,439 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.exists",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "faasmcli.util.env.FAASM_HOME",
"line_number": 13,
"usage_type": "argument"
},
{
"api_name": "os.makedirs",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "faasmcli.... |
195964035 | import collections
class A(collections.Iterable):
pass
import bisect
class SortedItems(collections.Sequence):
def __init__(self, initial=None):
self._items = sorted(initial) if initial is not None else []
# Required sequence methods
def __getitem__(self, index):
return self.... | null | python/cookbook/classes_objects/custom_containers.py | custom_containers.py | py | 1,196 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "collections.Iterable",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "collections.Sequence",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "bisect.insort",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "colle... |
153202480 | from flask import render_template, flash, redirect, url_for, request
from app import app
from app.forms import CalculatorForm
from app import db
#RONALD BALCHAND
#109806273
#ROUTES
@app.route('/')
@app.route('/index', methods=['GET', 'POST'])#form starts on index page
def index():
form=CalculatorForm()
... | null | CSE337/HW4/q2/app/routes.py | routes.py | py | 2,451 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "app.forms.CalculatorForm",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "... |
387591283 | from scipy import signal
import numpy as np
from math import pi
import matplotlib.pyplot as plt
from scipy.io import wavfile
import params
def autocorr(x):
result = np.correlate(x, x, mode='full')
return result[int(result.size/2):]
filenames = params.filenames
for filename in filenames:
samp_rate, y... | null | assignment_3/q3/q3.py | q3.py | py | 2,280 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.correlate",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "params.filenames",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "scipy.io.wavfile.read",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "scipy.io.w... |
350898033 | # Copyright 2013 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You
# may not use this file except in compliance with the License. A copy of
# the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | null | awscli/customizations/s3/filters.py | filters.py | py | 4,700 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "awscli.customizations.s3.utils.split_s3_bucket_key",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 40,
"usage_type": "call"
},
{
... |
358047459 | """empty message
Revision ID: c822e5117017
Revises: 6a90282e65e3
Create Date: 2018-03-21 11:25:02.374389
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'c822e5117017'
down_revision = '6a90282e65e3'
branch_labels = None
depends_on = None
def upgrade():
# ... | null | migrations/versions/c822e5117017_.py | c822e5117017_.py | py | 935 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "alembic.op.batch_alter_table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.... |
72641737 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
"""
@version: 1.0.0
@author: xlliu
@contact: liu.xuelong@163.com
@site: https://github.com/xlliu
@software: PyCharm
@file: conn.py
@time: 2016/7/29 10:59
"""
from sqlalchemy import create_engine
class Conn(object):
"""
mysql connection
"... | null | com/analysis/utils/conn.py | conn.py | py | 1,077 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 41,
"usage_type": "call"
}
] |
269753110 | from typing import Dict, List, Any, Union, Optional, IO
import networkx as nx
from nereid.core.cache import cache_decorator
from nereid.src.network import validate
from nereid.src.network.utils import graph_factory, thin_graph_dict
from nereid.src.network.algorithms import get_subset, parallel_sequential_subgraph_nod... | null | nereid/nereid/src/network/tasks.py | tasks.py | py | 3,205 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "typing.Dict",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "nereid.src.network.utils.thin_graph_dict",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "nereid.src.network.utils.graph_factory",
"line_number": 19,
"usage_type": "call"
}... |
599279090 | """
Saves DataFrame containing celebrity information scraped from usmagazine.com.
"""
from bs4 import BeautifulSoup
import pandas as pd
import requests
SAVE_PATH = '../celebs.csv'
df = pd.DataFrame(columns=['name', 'url'])
#####################################################################
# Make HTTP request mo... | null | data/code/scrape_celebs.py | scrape_celebs.py | py | 1,636 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.DataFrame",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 27,
"usage_type": "call"
}
] |
220825390 | import gdal
import numpy
def get_count_equel(tif_path,chislo,ker):
raster=gdal.Open(tif_path)
xsize=raster.RasterXSize
ysize=raster.RasterYSize
s=0
#print(xsize*ysize)
for i in range(0,xsize,ker):
for j in range(0,ysize,ker):
if i+ker>=xsize:
ker_realx=ker-... | null | SOURCE_FOLDER/ldncalc/count.py | count.py | py | 1,027 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "gdal.Open",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "numpy.sum",
"line_number": 23,
"usage_type": "call"
}
] |
416518971 | """magicgui is a utility for generating a GUI from a python function."""
from importlib.metadata import PackageNotFoundError, version
from typing import Any
try:
__version__ = version("magicgui")
except PackageNotFoundError: # pragma: no cover
__version__ = "uninstalled"
__author__ = """Talley Lambert"""
__e... | null | src/magicgui/__init__.py | __init__.py | py | 1,082 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "importlib.metadata.version",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "importlib.metadata.PackageNotFoundError",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "warnings.warn",
"line_number": 34,
"usage_type": "call"
},
{
"ap... |
612198689 | #!/usr/bin/env python
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, so... | null | logtools/join_backends.py | join_backends.py | py | 17,872 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sqlalchemy.orm.declarative_base",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"line_number": 66,
"usage_type": "attribute"
},
{
"api_name": "abc.ABCMeta",
"line_number": 79,
"usage_type": "name"
},
{
"api_name": "abc.abstr... |
362518843 | """
Plotting stuff!
"""
from typing import Union
import pandas as pd
import altair as alt
def hist(df: Union[pd.DataFrame, pd.Series], varname: str = None):
"""Plot a histogram."""
if isinstance(df, pd.Series):
assert df.index.name != '', "Series should have a name!"
varname = df.name
... | null | data_science_tools/plot.py | plot.py | py | 493 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "typing.Union",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "pandas.DataFrame",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pandas.Series",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pandas.Series",... |
295808230 | #!/usr/bin/python
import sys
import numpy as np
import cv2
import time
if len(sys.argv) < 5:
print( "Usage: capture <# frames to OR> <file output prefix> <number of files> <float sec delay>")
exit()
list_of_frames = []
frame_number = 1
sleepy_time = float(sys.argv[4])
cap = cv2.VideoCapture('/dev/video0') #I... | null | test/capture.py | capture.py | py | 1,207 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.argv",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_numb... |
138289658 | """Creates the sequence file using a split.
The output are two files with the sequences and labels
sequence_lenght
element1 element2 ...
label1 label2 ...
"""
from __future__ import absolute_import
import argparse
import numpy as np
import pandas
import pickle
import os
from tqdm import tqdm
SEPARATOR =... | null | preprocess_scripts/for_third_party/02_create_sequences.py | 02_create_sequences.py | py | 4,535 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.random.choice",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 57,
"usage_type": "attribute"
},
{
"api_name": "numpy.a... |
578245501 | from jinja2 import Template
import FinancialAnalysis
import date
import time
def makepage(code):
data = FinancialAnalysis.Data(code)
# make time web string
time_list = data.time
time = ""
for time_temp in time_list:
time += "<th >"
time += time_temp
time += "<... | null | Website/page.py | page.py | py | 3,187 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "FinancialAnalysis.Data",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "date.DateData",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "jinja2.Template",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "time.ctime",
... |
488018624 | import curses
import queue
import threading
import wchar
import config
import debug
class Input(queue.Queue):
def __init__(self, ui):
super().__init__(0)
self.ui = ui
self.commands = self.ui.commands
self.keys = self.commands.keys
self.actions = self.__init_action... | null | inp.py | inp.py | py | 2,871 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "queue.Queue",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "threading.Thread",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "config.UP",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "config.DOWN",
"l... |
573797587 | """
Determine the gender of a person based on Name. This program uses the Random Forest Classifier.
"""
import collections
from nltk.corpus import names #You won't need this, I'll provide the files
import random
import numpy as np
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import accuracy... | null | all_features.py | all_features.py | py | 5,877 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "nltk.corpus.names.words",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.names",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "nltk.corpus.names.words",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "nlt... |
531689768 | #
# This is just a simple interface to the winsspi library to support Kerberos
# Will only work on windows, ovbiously
#
#
#
from msldap.authentication.spnego.asn1_structs import KRB5Token
from winsspi.sspi import KerberosSMBSSPI
from winsspi.common.function_defs import ISC_REQ
from minikerberos.gssapi.gssapi import g... | null | msldap/authentication/kerberos/sspi.py | sspi.py | py | 2,561 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "winsspi.sspi.KerberosSMBSSPI",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "winsspi.common.function_defs.ISC_REQ.CONFIDENTIALITY",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "winsspi.common.function_defs.ISC_REQ",
"line_number": ... |
250561364 | #!user/bin/env/python
#-*-coding:utf-8-*-
# author: albert time:2019/8/21
from django.urls import path
from . import views
app_name = 'polls'
urlpatterns = [
#url连接视图
#ex:/polls/
path('',views.IndexView.as_view(),name='index'),
#login
# path('login/',views.LoginView.as_view(),name = 'login'),
p... | null | Django/HelloWorld/polls/urls.py | urls.py | py | 739 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.urls.path",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.urls.path",... |
14070432 | # coding: utf-8
"""Train the original network using a feed dictionary."""
import tensorflow as tf
import time
import os.path
import original_cnn as oc
import cnn_deconv as cd
import data_preprocess_pos as dp
import numpy as np
import math
import scipy.io as sio
from data_config import *
# Basic model parameters as ex... | null | tf_try/PPR/train.py | train.py | py | 13,895 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tensorflow.app",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.placeholder",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "tensorflow.float32",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "te... |
35271454 | from __future__ import print_function # Python 2/3 compatibility
import boto3
import json
import decimal
AWS_KEY = '****'
AWS_SECRET = '****'
def handler(event, context):
dynamodb = boto3.resource('dynamodb', region_name='us-west-2', aws_access_key_id=AWS_KEY , aws_secret_access_key=AWS_SECRET)
table = dynamo... | null | post-order/post-order.py | post-order.py | py | 948 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "boto3.resource",
"line_number": 10,
"usage_type": "call"
}
] |
562579896 | from django.shortcuts import render, get_object_or_404
from django.http import HttpResponse
from .models import NetworkList, AddSubList, NewExposure
from .forms import NetListForm, AddSubListForm, NewExpForm
# Create your views here.
def index(request):
"""Home page"""
return HttpResponse("<h1>Hi! You are at... | null | myProject/transections/views.py | views.py | py | 2,330 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.http.HttpResponse",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "models.AddSubList.objects.all",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "models.AddSubList.objects",
"line_number": 15,
"usage_type": "attribute"
},
{
... |
393421651 | #!/usr/bin/env python
import openpyxl
""" Goes through the production plan excel sheet and returns a list of products"""
def load_production_plan():
more_products = True
incrementer = 3
production_list = []
# Adds all the cells that have a value to the production list
while more_products:
... | null | scripts/loadProductionSchedule.py | loadProductionSchedule.py | py | 1,164 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "openpyxl.load_workbook",
"line_number": 23,
"usage_type": "call"
}
] |
94423536 | from django.shortcuts import render, redirect
from datetime import datetime
from student.models import Student
def get_session_details(grad_year):
grad_year = int(grad_year)
current_month = int(datetime.now().strftime('%m'))
current_year = int(datetime.now().strftime('%Y'))
current_session = 'Summer... | null | student/views.py | views.py | py | 2,326 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.datetime.now",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.... |
256574300 | """Mongo DB class to import the CSV data and to display the data"""
import csv
import time
import os
import pymongo
from pymongo import MongoClient
from line_profiler import LineProfiler
import atexit
import multiprocessing
from multiprocessing.pool import ThreadPool
import threading
profile = LineProfiler()
atexit.reg... | null | students/g_rama/lesson07/src/parllelthread.py | parllelthread.py | py | 4,975 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "line_profiler.LineProfiler",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "atexit.register",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "multip... |
410169380 | """
This module contains application middlewares
"""
from starlette.requests import Request
from starlette.authentication import AuthenticationBackend, AuthenticationError, \
SimpleUser, UnauthenticatedUser, AuthCredentials
from starlette.middleware.base import BaseHTTPMiddleware
from starlette.requests import Req... | null | app/middlewares.py | middlewares.py | py | 4,398 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "starlette.middleware.base.BaseHTTPMiddleware",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "starlette.requests.Request",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "starlette.responses.Response",
"line_number": 22,
"usage_type": "... |
63508551 | import logging
import urllib
import urllib2
from bs4 import BeautifulSoup
from youtube_search.engine import utils
class YouTube:
"""
Enables support for YouTube search
"""
YOUTUBE_URL = 'https://www.youtube.com'
YOUTUBE_QUERY = YOUTUBE_URL + '/results?search_query='
def __init__(self):
... | null | youtube/youtube_search/engine/youtube.py | youtube.py | py | 1,573 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "urllib.quote",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "urllib2.urlopen",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "youtube_search.engine.... |
351205733 | #!/usr/bin/python
# (c) 2020, Lucas Basquerotto
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
# pylint: disable=missing-module-docstring
# pylint: disable=missing-function-docstring
# pylint: disable=import-error
# pylint: disable=broad-except
from __future__ import abs... | null | collection/plugins/modules/vars.py | vars.py | py | 2,071 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "ansible.module_utils.basic.AnsibleModule",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "ansible_collections.lrd.ext_cloud.plugins.module_utils.s3.prepare_data",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "ansible_collections.lrd.ext_cloud... |
329126558 | import time
import schedule
import holiday as holiday, DingDing as Ding
import configparser
import check_holiday
import random
import datetime
config = configparser.ConfigParser(allow_no_value=False)
config.read("dingding.cfg",encoding='utf-8')
directory = config.get("ADB","directory")
gowork_time=config.get("time","g... | null | test_timer.py | test_timer.py | py | 2,407 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "time.localtime",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "check_holiday.check... |
619673214 | "ICECREAM"
from sqlalchemy import Column, Integer, String, ForeignKey, Boolean, Numeric, Table, Date
from sqlalchemy.orm import relationship, backref
from ICECREAM.db_initializer import Base
######### simple table tutorial #############
class Product(Base):
__tablename__ = 'product'
id = Column(Integer,... | null | app_tutorial/models.py | models.py | py | 2,414 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "ICECREAM.db_initializer.Base",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integer",
"line_number": 11,
"usage_type": "argument"
},
{
"api_name": "... |
41527786 | from __future__ import absolute_import
from __future__ import print_function
from select import select
import termios
import os
import sys
import optparse
import subprocess
import random
import time
#import cv2
import curses
#import readscreen3
import numpy as np
import pandas as pd
import datetime
from time import tim... | null | single_intection_lane4/testLane4.py | testLane4.py | py | 17,889 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "optparse.OptionParser",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "random.sample",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "sys.path.append",... |
440893830 | # -*- coding: utf-8 -*-
# Copyright European Organization for Nuclear Research (CERN) since 2012
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-... | null | lib/rucio/core/topology.py | topology.py | py | 15,197 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "typing.Callable",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "rucio.common.cache.ma... |
248746102 | import glob
import json
import os
import sys
from xml.etree.ElementTree import Element, SubElement
import ast
from lxml import etree
import numpy as np
from skimage.draw import polygon_perimeter
from skimage.io import imread, imsave
from skimage.morphology import dilation
from xml.etree import ElementTree
from unet.da... | null | unettrainer.py | unettrainer.py | py | 3,088 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "glob.glob",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "lxml.etree.XMLParser",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "os.path.exists",
"line_... |
376495879 | #!/usr/bin/env python
import numpy as np
import rospy
import itertools
import time
from vicon_bridge.msg import Marker, Markers
def data_key(string):
return string.split(":")[1].strip()
def key_str(string):
return data_key(string).replace('"', "")
def parse_markers(string):
markers = []
for mark... | null | scripts/fakeVicon.py | fakeVicon.py | py | 2,853 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "vicon_bridge.msg.Marker",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "vicon_bridge.msg.Markers",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "itertools.cycle",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "iter... |
259799605 | # coding=utf-8
import codecs
import torch
import numpy as np
#import cPickle
from utils import constant
import time
import argparse
from os.path import join
np.random.seed(188)
GLOVE_PATH = "/research/king3/hpchan/datasets/glove_6B/glove.6B.300d.txt"
class PreProcess(object):
"""
preprosess for sick data
... | null | preprocess_amazon.py | preprocess_amazon.py | py | 7,535 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.random.seed",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "torch.manual_seed",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "codecs.open",
... |
220427290 | """Module for reading and writing messages to queues between ccaas parts"""
import boto.sqs
from boto.sqs.message import Message
from shared.ccaas_config import config
def send_message(queue,message):
"""sends a message to a queue"""
sqs = boto.sqs.connect_to_region(config['aws_region'],
aw... | null | shared/messaging.py | messaging.py | py | 565 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "boto.sqs.sqs.connect_to_region",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "boto.sqs.sqs",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "boto.sqs",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "shared.ccaas_c... |
162383214 | # Agilent_E8267D.py class, to perform the communication between the Wrapper and the device
# Pieter de Groot <pieterdegroot@gmail.com>, 2008
# Martijn Schaafsma <qtlab@mcschaafsma.nl>, 2008
# Sam Hile <samhile@gmail.com>, 2014
#
# This program is free software; you can redistribute it and/or modify
# it under the terms... | null | bilby/instrument_plugins/x_Agilent_E8267D.py | x_Agilent_E8267D.py | py | 21,402 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "instrument.Instrument",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "logging.info",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "instrument.Instrument.__init__",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "ins... |
436273762 | from __future__ import absolute_import, unicode_literals
from django.conf import settings
from django.conf.urls import include, url
from django.contrib import admin
from django.contrib.staticfiles.urls import staticfiles_urlpatterns
from django.http.response import HttpResponse
from django.views.static import serve as... | null | project/wikiproject/urls.py | urls.py | py | 1,282 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.contrib.admin.autodiscover",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.conf.urls.url",
"line_number": 13,
"usage_type": "call"
},
{
"api_n... |
293769800 | #!/usr/bin/env python
# coding: utf-8
# In[222]:
import pymysql
import pandas as pd
con = pymysql.Connect(
host='120.79.36.32',
port=3306,
user='www_802k_cn',
password='ksxGX8QfWipYte5z',
db='www_802k_cn',
charset='utf8'
)
sql = "select * from dd_user"
df = pd.read_sql(sql,con)
from pandas... | null | novel_analysis/new_fans_trend .py | new_fans_trend .py | py | 1,360 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pymysql.Connect",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.read_sql",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "time.localtime",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "time.strftime",
"li... |
131864781 | """
This file contains all global variables
"""
import pygame
# initialize pygame
pygame.init()
pygame.display.set_caption("Music Theory RPG")
FPSclock = pygame.time.Clock()
# display screen values
SCREENX = 1275
SCREENY = 750
MENUTOP = SCREENY - 75
SCREEN = pygame.display.set_mode((SCREENX, SCREENY))
| null | code/config.py | config.py | py | 307 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pygame.init",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_caption",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pygame.time.C... |
166661877 | import argparse
from src.functions import *
def main():
"""Main module
checks the arguments passed by the user and adds as an exclusion rule
the simultaneous use of encoding and decoding arguments
"""
parser = argparse.ArgumentParser()
group = parser.add_mutually_exclusive_group()
g... | null | base64codec.py | base64codec.py | py | 1,981 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 12,
"usage_type": "call"
}
] |
585260339 | # !/usr/bin/env python
# -*- coding:utf-8 -*-
# author；鸿
import requests as r
import re
import time
import os
'''请求响应'''
url = 'https://www.vmgirls.com/12353.html'
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.129 Safari/537.36'
}
respon... | null | 阶段一/爬虫实战.py | 爬虫实战.py | py | 847 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 1... |
269640400 | import numpy as np
import torch
import multiprocessing
import threading
import models
import gym
import torch.multiprocessing as mp
from a3c_agent_continues import A3C_Workers
torch.set_default_tensor_type('torch.DoubleTensor')
if __name__ == '__main__':
env_name = 'Pendulum-v0'
save_path = 'saved_models/Pend... | null | a3c/train_network_continues.py | train_network_continues.py | py | 1,425 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.set_default_tensor_type",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "multiprocessing.cpu_count",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "gym.make",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "mode... |
325436047 | import os
from datasets import get_dataset
import argparse
import torch
import torch.nn as nn
import numpy as np
import time
import GPUtil
from tools.build_network import get_net_by_name
from ann2snn import trans_ann2snn
import matplotlib.pyplot as plt
import seaborn as sns
from validation import validate_ann,validate_... | null | analyse_error.py | analyse_error.py | py | 3,055 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.argmin",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "GPUtil.getGPUs",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",... |
607658252 | import sys
from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtGui import QPainter
from PyQt5.QtGui import QPixmap
from PyQt5.QtWidgets import *
from PyQt5.QtCore import *
windowSizeX = 440
windowSizeY = 250
userName = 'Aperture'
fontMajor = "Arial"
fontMinor = "Dotum"
class Form(QWidget):
... | null | QT/GUI_Privasee_PasswordToRegister.py | GUI_Privasee_PasswordToRegister.py | py | 2,432 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "PyQt5.QtGui.QFont",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtGui",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtGui.QFont",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtGui",
"li... |
343422244 | from matplotlib import pyplot
from matplotlib import rc
import numpy as np
from scipy.integrate import quad
np.seterr(all = 'ignore')
#rc('font', **{'family': 'sans-serif', 'sans-serif':['Helvetica']})
#rc('text', usetex = True)
h = 6.626e-34
c = 3.0e+8
k = 1.38e-23
sol_rad = 6.957e+8
pars = 3.086e+16
def generate... | null | black_body.py | black_body.py | py | 2,274 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.seterr",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "numpy.exp",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number":... |
568454 | import numpy as np
import cv2
import soundfile as sf
from tqdm import tqdm
import os
class CFG:
n_mels = 256
fmin = 20
fmax = 16000
n_fft = 2048
hop_length = 2048
sample_rate = 32000
img_size = 512
def mono_to_color(
X: np.ndarray, mean=None, std=None,
norm_max=None, norm_min=No... | null | code/mangguo/audio2melspectrogram.py | audio2melspectrogram.py | py | 2,144 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.ndarray",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "numpy.stack",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros_like",
... |
579924018 | # 가장 잘 나온 전이학습모델로
# 이 데이터를 학습시켜서 결과치 도출
# keras 59번과의 성능 비교
import numpy as np
from tensorflow.keras.datasets import cifar100
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Conv2D, Flatten, MaxPooling2D, Conv1D, Dropout, GlobalAveragePooling2D
from sklearn.model_selection im... | null | keras2/keras73_1_men_women.py | keras73_1_men_women.py | py | 2,593 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_s... |
215018590 | # -*- coding:utf-8 -*-
import logging
from os import path
from django.http import HttpResponse
class AuthenticationMiddleware(object):
def process_request(self, request):
if request.path.startswith('/docs'):
logging.info('> ' + request.path)
content_types = {
'': ... | null | plugins/auth/middleware.py | middleware.py | py | 1,105 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.info",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.http.HttpResponse",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path.splitext",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
321387069 | import bpy
from bpy_extras.node_shader_utils import PrincipledBSDFWrapper
from bpy_extras.image_utils import load_image
def setMaterial(ob, mat, debug=False):
if ob.data.materials:
# assign to 1st material slot
ob.data.materials[0] = mat
if debug:
print("Set material fo... | null | materialUtils.py | materialUtils.py | py | 2,223 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "bpy.data.materials.new",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "bpy.data",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "bpy_extras.node_shader_utils.PrincipledBSDFWrapper",
"line_number": 19,
"usage_type": "call"
},
... |
356769390 | import bs4
import requests
from bs4 import BeautifulSoup as soup
import sqlite3
from urllib2 import urlopen as uReq
from bs4 import BeautifulSoup as soup
import re
import sys
reload(sys)
sys.setdefaultencoding('utf8')
#list of URLs to scrape from
my_url = ['https://magicseaweed.com/Narragansett-Beach-Surf-Report/1103/... | null | 0Snapshot_Works.py | 0Snapshot_Works.py | py | 2,927 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.setdefaultencoding",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "urllib2.urlopen",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "re.compile",... |
625504768 | #author：lixiangyang
import tensorflow as tf
import os
from sklearn import datasets
from matplotlib import pyplot as plt
import numpy as np
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' # 只显示error，不显示其他信息
def normalize(train):
# 线性归一化
x_data = train.T
for i in range(4):
x_data[i] = (x_data[i] - tf.red... | null | 第三次签到作业/adadelta.py | adadelta.py | py | 6,173 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.reduce_min",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "tensorflow.reduce_max",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.log1... |
73548852 | import pytest
from eth_tester.exceptions import TransactionFailed
from raiden_contracts.utils.config import E_TRANSFER_UPDATED, CHANNEL_STATE_CLOSED
from raiden_contracts.utils.events import check_transfer_updated
from .fixtures.config import fake_bytes
def test_update_channel_state(
token_network,
cr... | null | raiden_contracts/tests/test_channel_update_transfer.py | test_channel_update_transfer.py | py | 3,988 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "fixtures.config.fake_bytes",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "fixtures.config.fake_bytes",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "raiden_contracts.utils.config.CHANNEL_STATE_CLOSED",
"line_number": 40,
"usage_type... |
631286031 | """
线性回归模型
"""
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as mp
data = np.loadtxt('single.txt',delimiter=',')
x = data[:,0]
y = data[:,1]
#顺序模型
model = tf.keras.Sequential()
#添加层 第一个参数输出数据的维度， 第二个是输入数据的维度
model.add(tf.keras.layers.Dense(1,input_shape=(1,)))
print(model.summary())
#编译
model... | null | Tensorflow/day01/10_keras.py | 10_keras.py | py | 625 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.loadtxt",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.Sequential",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "tensor... |
77799157 | import os # isort: skip
import time
from shutil import copyfile
import torch
from torch.utils.data import DataLoader
from torch.utils.tensorboard import SummaryWriter
import segmentation_models_pytorch as smp
from utils import configuration
from utils.dataset import SegmDataset
from utils.build_model import build... | null | train.py | train.py | py | 5,806 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "utils.configuration.System",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "utils.configuration",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "torch.manual_seed",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": ... |
438006417 | import ast
from argparse import ArgumentParser, Namespace, Action
from typing import List
from ml4ir.base.config.keys import OptimizerKey, DataFormatKey, TFRecordTypeKey, ExecutionModeKey, ServingSignatureKey, FileHandlerKey
from ml4ir.applications.ranking.config.keys import LossKey as RankingLoss, MetricKey as Ranking... | null | python/ml4ir/base/config/parse_args.py | parse_args.py | py | 15,714 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.Action",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 44,
"usage_type": "name"
},
{
"api_name": "ml4ir.base.config.keys.DataFormatKey.get_all_keys",
"line_number": 65,
"usage_type": "call"
},
... |
528088583 | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requ... | null | nemo_text_processing/text_normalization/de/verbalizers/measure.py | measure.py | py | 2,243 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "nemo_text_processing.text_normalization.en.graph_utils.GraphFst",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "nemo_text_processing.text_normalization.en.graph_utils.GraphFst",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "pynini.lib.pynuti... |
363922682 | from bottle import route, default_app, request, response, template
import pdfkit
import unicodedata
import time
import os
wkhtmltopdf_dir = os.path.dirname(__file__)
filename = wkhtmltopdf_dir[:-5] + '/wkhtmltopdf/wkhtmltopdf'
config = pdfkit.configuration(wkhtmltopdf=filename)
num_of_pdf = 0
HTML = """\
<html>
<head... | null | wsgi/mybottleapp.py | mybottleapp.py | py | 1,316 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.dirname",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pdfkit.configuration",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "bottle.template",
... |
116119537 |
from opentrons import robot, labware, instruments, protocol_api
#from opentrons import
#import numpy as np
#from copy import deepcopy
# metadata
metadata = {
'protocolName': 'SeparateGradientsErisGradient',
'author': 'Eric Behle eric.behle@hhu.de',
'description': '\
Protocol designed to pipe... | null | SeparateGradientsEricsGradient_changed.py | SeparateGradientsEricsGradient_changed.py | py | 13,422 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "opentrons.labware.list",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "opentrons.labware",
"line_number": 64,
"usage_type": "name"
},
{
"api_name": "opentrons.labware.create",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "ope... |
546685 | #!/usr/bin/env python
# -*- coding: UTF-8 -*-
"""
@Project:renran
@file: view.py
@author: 薛吉祥
@time: 2022/12/14 16:28
@desc:
"""
import time
from urllib.parse import urlencode
import jwt
import requests
from flask import g, request, jsonify
from util import SALT
from util import identify, authenticate
from renranapi.m... | null | renranapi/app/users/view.py | view.py | py | 8,868 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "renranapi.manage.app.config",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "renranapi.manage.app",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "renranapi.manage.app.after_request",
"line_number": 37,
"usage_type": "call"
},
... |
501988488 | from setuptools import find_packages, setup
import django_spaceless_templates
readme = open('README.rst').read()
requirements = open('requirements.txt').readlines()
setup(
name='django-spaceless-templates',
version=django_spaceless_templates.__version__,
packages=find_packages(),
include_package_data... | null | setup.py | setup.py | py | 1,191 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "setuptools.setup",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django_spaceless_templates.__version__",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "setuptools.find_packages",
"line_number": 11,
"usage_type": "call"
}
] |
448798702 | #!/usr/bin/env python2.7
import mmap, time, struct, os, sys
import numpy as np
from sklearn import linear_model, svm, tree, neighbors
from sklearn.neighbors.nearest_centroid import NearestCentroid
from sklearn.linear_model import *
from sklearn.ensemble import *
from sklearn.dummy import *
from sklearn.neural_network ... | null | train_programs/NEW_sigterm_microbenchmarks/demo_poly.py | demo_poly.py | py | 11,529 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.hstack",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "numpy.hstack",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "numpy.vstack",
"line_number": 93,
"usage_type": "call"
},
{
"api_name": "numpy.vstack",
"line_numbe... |
171958381 | import argparse
import itertools
import multiprocessing
from functools import partial
from lhc.argparse import OpenReadableFile, OpenWritableFile
from lhc.io.bed.iterator import BedLineIterator
from lhc.io.bed.set_ import BedSet
from lhc.io.sam.iterator import SamLineIterator
def filter(args):
filters = []
i... | null | lhc/io/sam/filter.py | filter.py | py | 3,548 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "functools.partial",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "functools.partial",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "functools.partial",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "lhc.io.bed.set_... |
548316016 | # -*- coding: utf-8 -*-
# @Time : 2019/12/10
# @Author : Lattine
# ======================
import os
import torch
from torch import optim
from torch.utils.data import DataLoader
from data_helper import dataset
from data_helper import StrLabelConverter
from models import crnn as nets
from process import utils
torc... | null | crnn_ctc/process/trainer.py | trainer.py | py | 5,234 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.manual_seed",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "models.crnn.Config",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "models.crnn",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "torch.device",
"... |
558068896 |
#
# Mqttagent that measure the existance of several wifi id,
#
#
import paho.mqtt.client as mqtt
import random
import time
import re
import ConfigParser
import os.path
import freebox
import json
config = ConfigParser.RawConfigParser()
PRESENCE = "home/agents/presence"
########################################... | null | agents/freebox/presence.py | presence.py | py | 2,453 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "ConfigParser.RawConfigParser",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.path.expanduser",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name":... |
548439279 | import boto3
import logging
import math
import os
import pandas as pd
from django.conf import settings
logger = logging.getLogger("console")
def multipart_upload(bucketname, regionname, source_path, keyname):
s3client = boto3.client("s3", region_name=regionname)
source_size = os.stat(source_path).st_size
... | null | usaspending_api/download/helpers/monthly_helpers.py | monthly_helpers.py | py | 2,267 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "boto3.client",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.stat",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": ... |
332867579 | # # -*- coding: utf-8 -*-
# __author__ = "Mengxuan Chen"
# __email__ = "chenmx19@mails.tsinghua.edu.cn"
# __date__ = "20200801"
import grpc
import question_pb2, question_pb2_grpc
import contest_pb2, contest_pb2_grpc
import pandas as pd
import numpy as np
import os, time
from universal import tools
from un... | null | codes/client___.py | client___.py | py | 10,193 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.basicConfig",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "warnings.filterwarnings",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "grpc.i... |
203522566 | from flask import Flask,render_template,redirect,request
import caption_it
#__name__== __main__
app=Flask(__name__)
# @-> It is known as decorator
@app.route('/')
def hello():
return render_template("index.html")
@app.route('/',methods=['POST'])
def caption_prediction():
if request.method =="POST":
#name=reques... | null | app.py | app.py | py | 784 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "flask.requ... |
188495113 | #!/bin/env python
# File: components.py
# Description: A module containing graphical components, which are about
# to be used in the main class.
# Done: 2%
__author__ = "Milan Skala"
__credits__ = ["Milan Skala"]
__version__ = "0.1a"
__maintainer__ = "Milan Skala"
__email__ = "xskala09@stud.fit.vu... | null | VirtualBox_Manager/modules/components.py | components.py | py | 3,228 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "wx.Frame",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "wx.ID_ANY",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "wx.DefaultPosition",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "wx.DefaultSize",... |
111180224 | #!/usr/bin/env python3
"""
Tells us if a tree file is in order.
"""
import argparse
from treesorting import *
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('TreeFile',
help='The file containing the tree.')
args = parser.parse_args()
file_... | null | isfilesortedtree.py | isfilesortedtree.py | py | 426 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
}
] |
96208522 | ## This file contains all the functions necessary to the development and use of the DKB
import functools
from owlready2 import *
from .DareKB import *
from .Profile import *
import os.path
import uuid
from . import setting
from .internal import datatype as dt
from .internal import consts
from . import server_state ... | null | server/sbridge.py | sbridge.py | py | 7,292 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "functools.wraps",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "typing.Optional",
"line_number": 55,
"usage_type": "name"
},
{
"api_name": "uuid.uuid1",
"line_number": 103,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_n... |
305046448 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from pyVim.connect import SmartConnectNoSSL,SmartConnect,Disconnect
from pyVmomi import vim
from pyVmomi import vmodl
import atexit
import getpass
__author__ = 'jyxie'
# 从文件中读取所有ip，忽略以#开头的ip，并去除ip的前后空格
def read_all_ip():
f = None
ip_list = []
... | null | vm_manage.py | vm_manage.py | py | 16,273 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pyVim.connect.SmartConnect",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "pyVim.connect.SmartConnectNoSSL",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "atexit.register",
"line_number": 44,
"usage_type": "call"
},
{
"api_na... |
512522062 | # coding: utf-8
import scipy.io as scio
from logistic_regression import *
from sklearn.preprocessing import scale
data=scio.loadmat('digit_train.mat')
X_train=data['X'].astype(float)
y_train=data['y'][0]
def norm(X):
return np.mean(X,axis=1),np.var(X,axis=1)
train_mean,train_var=norm(X_train)
X_train=scale(X_... | null | hw2/src/Regularization and Cross-Validation/logistic_regression_train.py | logistic_regression_train.py | py | 2,286 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "scipy.io.loadmat",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "scipy.io",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "sklearn.preprocessing.scale",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "scipy.io.loadmat"... |
39763343 | '''
A program that multiplies the adjacency matrix of a graph once. DBMS used is vertica.
Author: Sikder Tahsin Al-Amin
'''
import vertica_python
import string
import sys
import math
import time
######connection string to vertica #####
try:
conn_info = {'host':'hostname/ip',
'po... | null | adjacency_matrix.py | adjacency_matrix.py | py | 3,174 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "vertica_python.connect",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_nu... |
181577170 |
import os
import unittest
from pathlib import Path
import openmc
import paramak
import pytest
class TestObjectNeutronicsArguments(unittest.TestCase):
"""Tests Shape object arguments that involve neutronics usage"""
def setUp(self):
self.test_shape = paramak.ExtrudeMixedShape(
points=[
... | null | tests/test_parametric_neutronics/test_Shape_neutronics.py | test_Shape_neutronics.py | py | 8,615 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "unittest.TestCase",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "paramak.ExtrudeMixedShape",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "pathlib.Pa... |
235974844 | #!/usr/bin/env python
"""Run benchmarks with build/lib.* in sys.path"""
import sys
import time
import logging
from contextlib import contextmanager
logger = logging.getLogger('pylibmc.bench')
def build_lib_dirname():
from distutils.dist import Distribution
from distutils.command.build import build
build_... | null | bin/runbench.py | runbench.py | py | 3,216 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "distutils.command.build.build",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "distutils.dist.Distribution",
"line_number": 14,
"usage_type": "call"
},
{
"api_na... |
652340875 | from django.shortcuts import redirect
from rest_framework.viewsets import ModelViewSet, GenericViewSet
from rest_framework.renderers import TemplateHTMLRenderer
from rest_framework.response import Response
from rest_framework.decorators import action
from rest_framework.mixins import ListModelMixin, RetrieveModelMixin
... | null | article/views.py | views.py | py | 9,798 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "rest_framework.pagination.PageNumberPagination",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "rest_framework.pagination.PageNumberPagination",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "rest_framework.pagination.PageNumberPagination",
... |
295401899 | # -*- coding: utf-8 -*-
"""
Product: PyCharm
Project: xinrui
File: head_spider
Author : ZXR
date： 2019/2/14
time: 16:43
"""
import requests
import pymysql
import time
import base64
import re
from bs4 import BeautifulSoup
import threading
class Yidian:
header... | null | pyqtpro/xinrui/headline/head_spider.py | head_spider.py | py | 20,552 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "time.time",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "threading.Lock",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": ... |
37424011 | from django.db import models
from django.utils.translation import ugettext_lazy as _
from django.utils import timezone
from django.http import QueryDict
from django.urls import reverse
from model_utils import Choices
from aids.models import Aid
from aids.forms import AidSearchForm
class Bookmark(models.Model):
"... | null | src/bookmarks/models.py | models.py | py | 2,460 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.db.models.Model",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "model_utils.Choices",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "djan... |
562230958 | import pytest
from sfa_dash.blueprints.form import MetadataForm
@pytest.fixture()
def meta_form():
return MetadataForm('forecast')
def test_flatten_dict(meta_form):
original_dict = {
'a': 1,
'b': {'z': 5,
'y': 4,
'x': 3},
'c': [1, 2, 3, 4]
}
expe... | null | sfa_dash/tests/test_form_helpers.py | test_form_helpers.py | py | 1,352 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sfa_dash.blueprints.form.MetadataForm",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 31,
"usage_type": "call"
},
{
"api_na... |
268805463 | import numpy
import json
import array
def read_from_db():
with open('datajson.json') as f:
data = json.load(f)
names = [sensors['sensor_id'] for sensors in data['sensor_data']]
states = [sensors['sensor_state'] for sensors in data['sensor_data']]
print (names)
return name... | null | paho/database1.py | database1.py | py | 331 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.load",
"line_number": 10,
"usage_type": "call"
}
] |
558936396 | """
1、使用defaultdict实现
2、还可以使用普通字典的setdefault
"""
from collections import defaultdict
# 方法1
a = defaultdict(list)
a['a'].append(1)
a['a'].append(2)
a['b'].append(1)
print(a)
# 方法2
b = dict()
b.setdefault('a',[]).append(1)
b.setdefault('b',[])
b['a'].append(2)
print(b)
| null | 1_Data_Algorithm/5_字典的一键存储多值.py | 5_字典的一键存储多值.py | py | 319 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "collections.defaultdict",
"line_number": 8,
"usage_type": "call"
}
] |
604566985 | from flask_login import login_required, current_user
from flask import flash, redirect, render_template, url_for, request, redirect
from . import notes
from ..models import User, Minutes
from app import db
@notes.route('/note/<int:n_id>', methods=["GET"])
@login_required
def view_note(n_id):
note = Minutes.query.a... | null | app/notes/views.py | views.py | py | 994 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "models.Minutes.query.add_columns",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "models.Minutes.query",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "models.Minutes",
"line_number": 10,
"usage_type": "name"
},
{
"api_nam... |
284959380 | from models.generators.GeneralGenerator import GeneralGenerator
import torch.nn as nn
import torch
from models.losses.NonSaturatingGLoss import NonSaturatingGLoss as GLoss
from models.discriminators.PatchDiscriminator import PatchDiscriminator
class ResnetGenerator(GeneralGenerator):
""" Defines the pix2pix (Cycl... | null | models/generators/ResnetGenerator.py | ResnetGenerator.py | py | 6,144 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "models.generators.GeneralGenerator.GeneralGenerator",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "torch.nn.Module",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 13,
"usage_type": "name"
},
{
"... |
123919702 | import ray
import ray.tune as tune
from ray.rllib import train
import os
import sys
if __name__ == "__main__":
# Parse arguments
train_parser = train.create_parser()
args = train_parser.parse_args()
print("Algorithm config:", args.config)
if args.ray_address is None:
# start local Ray c... | null | ray-sample/main.py | main.py | py | 776 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "ray.rllib.train.create_parser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "ray.rllib.train",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "ray.init",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "ray.init",
... |
223594921 | import copy
import time
from PyQt5.QtCore import QThread, pyqtSignal
from PyQt5.QtWidgets import QWidget
from Entities.Bullet import Bullet
from Entities.Box import Box
from Entities.Spaceship import Spaceship
from Factories.BulletFactory import BulletFactory
from Handlers.CollisionHandler import CollisionHandler
... | null | space_invaders/Workers/BulletWorker.py | BulletWorker.py | py | 2,146 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "PyQt5.QtCore.QThread",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.pyqtSignal",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "Entities.Bullet.Bullet",
"line_number": 16,
"usage_type": "argument"
},
{
"api_name"... |
396761930 | #!/usr/bin/env python
# coding: utf-8
# # Project: Investigating TMDB Movie Dataset provided by Udacity
# ***
# ### Table of contents >
#
# - Introduction
#
# - Data Wrangling
# - Removing duplicates rows and empty rows
#
# - Data Analysis
# - Which genres are most popular from year to year?
# - What kind... | null | InvestigatingDatasets/investigating-datasets-udacity.py | investigating-datasets-udacity.py | py | 9,957 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "pandas.Series",
"line_number": 143,
"usage_type": "call"
},
{
"api_name": "seaborn.set",
"line_number": 152,
"usage_type": "call"
},
{
"api_name": "seaborn.color_palette",
... |
47926129 | __author__ = 'linwe991'
print("views.py")
# from Twidder import app
import random
from flask import Flask, jsonify, request
from Twidder import database_helper
from gevent.wsgi import WSGIServer
from geventwebsocket.handler import WebSocketHandler
from geventwebsocket.websocket import WebSocketError
import json
from T... | null | Twidder/views.py | views.py | py | 8,668 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "Twidder.app",
"line_number": 15,
"usage_type": "argument"
},
{
"api_name": "Twidder.app.send_static_file",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "Twidder.app",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "Twidder.app.... |
611811736 | import pytest
import time
import stl_path
from trex_stl_lib.api import *
"""
An example on how to use TRex for functional tests
using the stateless API with service mode
"""
@pytest.mark.parametrize("protocol", ["TCP", "UDP", "ICMP"])
def test_one_packet(trex, protocol):
tx_port, rx_port = trex.get_all_ports()
... | null | labs/tests/test_simple_service.py | test_simple_service.py | py | 1,545 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "time.sleep",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 11,
"usage_type": "attribute"
}
] |
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