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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
32847920764 | import numpy as np
import cv2
from hog_fitures import HOG_fitures
from utils import *
fhog = HOG_fitures()
class KCFTracker:
def __init__(self, hog=False, fixed_window=True, multiscale=False):
self.lambda_reg = 0.0001 # регуляризация
self.padding = 2.5 # дополнительная об... | ra1nyy/TrackerForNir | tracker.py | tracker.py | py | 10,534 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "hog_fitures.HOG_fitures",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.ogrid",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_name": "numpy.cos",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"lin... |
1758781075 | #! /usr/bin/env python
"""
Module with fake companion injection functions.
"""
__author__ = 'Carlos Alberto Gomez Gonzalez, Valentin Christiaens'
__all__ = ['collapse_psf_cube',
'normalize_psf',
'cube_inject_companions',
'generate_cube_copies_with_injections',
'frame_inject... | vortex-exoplanet/VIP | vip_hci/fm/fakecomp.py | fakecomp.py | py | 34,145 | python | en | code | 67 | github-code | 97 | [
{
"api_name": "packaging.version.parse",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "packaging.version",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "photutils.__version__",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "... |
42849798110 | """Estimation of number of seats in CZ parliament based on pollsters' potentials."""
# !!! NOTE: HTML in /home/michal/dev/dark_corners/flow/test4/
import copy
import csv
import datetime
import json
import numpy
import operator
path = "/home/michal/project/mandaty.cz/seats/"
# date = "2019-10-01"
datestring = datetim... | michalskop/mandaty.cz | seats/calc2.py | calc2.py | py | 7,612 | python | en | code | 13 | github-code | 97 | [
{
"api_name": "datetime.datetime.today",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "csv.DictReader",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "csv.Dic... |
30288555281 | from netaddr import IPAddress
__all__ = [
'to_server_dict',
'to_dns_zone_dict',
'to_dns_record_dict'
]
def to_server_dict(server):
public_ips = [ip['addr'] for ip in server.addresses['public']]
private_ips = [ip['addr'] for ip in server.addresses['private']]
# Pick out first public IPv4 and ... | StackStorm/st2contrib | packs/rackspace/actions/lib/formatters.py | formatters.py | py | 1,500 | python | en | code | 154 | github-code | 97 | [
{
"api_name": "netaddr.IPAddress",
"line_number": 20,
"usage_type": "call"
}
] |
10842862706 | import os
import base64
from datetime import datetime
from flask import Blueprint, render_template, request, flash, redirect, url_for, current_app
from flask_login import current_user, login_user, logout_user, login_required
from microblog.models import db, User
from microblog.forms import LoginForm, RegistrationForm... | mustafa-baser/flask-ders | microblog/views/auth.py | auth.py | py | 3,140 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask.Blueprint",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "microblog.forms.LoginForm",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "f... |
34719848725 |
from django.contrib import admin
from django.contrib.admin import ModelAdmin
from backend.hume.models import Hume, ValidHume
class ValidHumeAdmin(ModelAdmin):
model = ValidHume
list_display = ('uuid', )
class HumeAdmin(ModelAdmin):
model = Hume
list_display = ('uuid', )
admin.site.register(Valid... | open-home-iot/hint | backend/hume/admin.py | admin.py | py | 379 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "backend.hume.models.ValidHume",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 13,
"usage_type": "name"
}... |
9513922036 | import sqlite3
con = sqlite3.connect("sample.db")
cursor = con.cursor()
create_history_table_query = """
CREATE TABLE IF NOT EXISTS History(
Name TXET,
Age INTEGER
)
"""
cursor.execute(create_history_table_query)
target_name = input("whose 'age' do you want to update?")
new_age = input("Tell me new age:")
upd... | MoTo-LaBo/Python-Guideline | database/rollback.py | rollback.py | py | 1,080 | python | ja | code | 0 | github-code | 97 | [
{
"api_name": "sqlite3.connect",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sqlite3.Error",
"line_number": 20,
"usage_type": "attribute"
}
] |
167638007 | import json
with open('misleading.json','r') as f:
results = json.load(f)
"""
res = {
'margins':list(margins),
'min_round_sizes':list(round_sizes),
'prov_sprobs':list(prov_sprobs),
'so_sprobs':list(so_sprobs),
'eor_sprobs':list(eor_sprobs)
}
"""
s = "\\begin{tabular}{ |c|c|c|c|c| } \n\\hline \n... | obroadrick/providence | old/latex_misleading.py | latex_misleading.py | py | 1,353 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "json.load",
"line_number": 4,
"usage_type": "call"
}
] |
12553802266 | from django.shortcuts import render, redirect,get_object_or_404, HttpResponseRedirect
from .models import Category, Photo
from django.contrib import messages
# Create your views here.
def welcome(request):
return render(request, 'photos/base.html')
def gallery(request):
category = request.GET.get('category'... | Brian569/personal-gallery | photos/views.py | views.py | py | 2,162 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.shortcuts.render",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "models.Photo.objects.all",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "models.Photo.objects",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_nam... |
25759746636 | import numpy as np
import torch
# # # refere to the pseudocode available at https://arxiv.org/src/1911.08265v2/anc/pseudocode.py
class Node(object):
def __init__(self, prior: float):
self.visit_count = 0
self.prior = prior
self.value_sum = 0
self.children = {}
se... | DHDev0/Muzero | monte_carlo_tree_search.py | monte_carlo_tree_search.py | py | 10,701 | python | en | code | 13 | github-code | 97 | [
{
"api_name": "torch.equal",
"line_number": 128,
"usage_type": "call"
},
{
"api_name": "numpy.random.dirichlet",
"line_number": 140,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 140,
"usage_type": "attribute"
},
{
"api_name": "numpy.log",
... |
44824500218 | from functools import reduce
def read_input():
with open('input') as f:
lines = f.read().splitlines()
return lines
def main1(right=3, down=1):
lines = read_input()
tree = '#'
pos = right
found = 0
for line in lines[down::down]:
if line[pos] == tree:
found += 1... | valerii-vorobiov/adventofcode2020 | day3/solution.py | solution.py | py | 636 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "functools.reduce",
"line_number": 25,
"usage_type": "call"
}
] |
19088780585 | from selenium import webdriver
from bs4 import BeautifulSoup
import time
base_url ="https://search.naver.com/search.naver?where=view&sm=tab_jum&query="
keyword=input("검색어 입력하세요 : ")
url =base_url + keyword
driver = webdriver.Chrome()
driver.get(url)
time.sleep(3)
#page불러오는데 시간이 걸리므로 time을 자주 사용하게 된다
'''
자바스크립트 기능... | Polar-jaesung/crawling_python | 09_2_selenium_naver.py | 09_2_selenium_naver.py | py | 1,376 | python | ko | code | 0 | github-code | 97 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "time.sleep",
... |
74748505919 | # SPDX-License-Identifier: MIT
from __future__ import annotations
from sqlalchemy.types import (
INT,
TypeDecorator,
UserDefinedType,
)
from ..data.cvss import CvssSeverity
class CvssSeverityType(TypeDecorator):
cache_ok = True
impl = INT
def process_bind_param(self, value: CvssSeverity | ... | gardenlinux/glvd | src/glvd/database/types.py | types.py | py | 735 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "sqlalchemy.types.TypeDecorator",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.types.INT",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "data.cvss.CvssSeverity",
"line_number": 18,
"usage_type": "name"
},
{
"api_na... |
17003479136 | import os
import json
import shutil
import argparse
import datetime
from dataclasses import dataclass, asdict
from dacite import from_dict
@dataclass
class Asset:
m_FileID: int
m_PathID: int
@dataclass
class OneLiner:
characterProgressTokens: list[Asset]
worldProgressTokens: list[Asset]
priority: i... | YufeiG/extra-dialogue-mod | scripts/format.py | format.py | py | 5,270 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "dataclasses.dataclass",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "data... |
17357762941 | #coding=utf-8
from selenium import webdriver
import time
import random
from PIL import Image
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.common.by import By
'''
for i in range(5):
user_email = ''.join(random.sam... | eason-chen705/SeleniumPython | ImoocSelenium/start_browsers.py | start_browsers.py | py | 1,926 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "selenium.webd... |
8778723434 | import requests
from bs4 import BeautifulSoup
from pylibz import log, deepcopy
from pylibz.func import base64_encode
from .config import get_javdb_host, get_local
from .func import get_cache, write_cache
def get_values(item):
values = []
contents = item.select("a")
for i in range(len(contents)):
v... | nanjozy/javcapture_dsm | javapi/javdb.py | javdb.py | py | 4,331 | python | en | code | 5 | github-code | 97 | [
{
"api_name": "requests.Session",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "pylibz.deepcopy",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "config.get_javdb_host",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "bs4.Beaut... |
20414974880 | from prefect import task, Flow
from prefect.executors import LocalDaskExecutor
from prefect.storage import Docker
from prefect.run_configs import DockerRun
from research.example_pkg import things
@task#(log_stdout=True)
def run_thing1():
if things.thing1():
return True
@task#(log_stdout=True)
def run_thi... | aquanauts/prefect_logger_repro | research/flow.py | flow.py | py | 927 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "research.example_pkg.things.thing1",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "research.example_pkg.things",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "prefect.task",
"line_number": 8,
"usage_type": "name"
},
{
"api_na... |
20352774012 | #!/usr/bin/env python3
import sys
import argparse
import json
parser = argparse.ArgumentParser(description="Average piecewise-constant function")
parser.add_argument("--N",type=int,default=100,help="Number of points in reconstruction")
args = parser.parse_args()
N = args.N
def get_piecewise_fn_value(intervals,x):
... | bredelings/BAli-Phy | tests/prob_prog/coal_mining/average_time_course.py | average_time_course.py | py | 1,298 | python | en | code | 41 | github-code | 97 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"line_number": 41,
"usage_type": "call"
}
] |
3823388358 | import pandas as pd
import matplotlib.pyplot as plt
from sklearn.model_selection import TimeSeriesSplit
from statsmodels.tsa.arima.model import ARIMA
import tensorflow as tf
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import LSTM, Dense
#Using oop
class TemperatureData:
de... | TexNas1/Redi_Project | temperature_Data.py | temperature_Data.py | py | 4,612 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pandas.read_csv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pandas.errors",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "pandas.errors",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pypl... |
27511447661 | # coding: utf-8
from keras.preprocessing.text import Tokenizer
samples = ['the cat sat on the mat.', 'the dog ate my homework.']
# 出現頻度がもっとも高い1000個の単語だけを処理するトークナイザー
tokenizer = Tokenizer(num_words=1000)
# 単語のインデックスを構築
tokenizer.fit_on_texts(samples)
# 文字列を整数のインデックスのリストに変換
#sequences = tokenizer.texts_to_sequences(s... | ishigero/nlp | encode_sample/one_hot_word_with_keras.py | one_hot_word_with_keras.py | py | 864 | python | ja | code | 0 | github-code | 97 | [
{
"api_name": "keras.preprocessing.text.Tokenizer",
"line_number": 7,
"usage_type": "call"
}
] |
887188882 | from marshmallow import Schema, fields, EXCLUDE
class BookSchema(Schema):
title = fields.Str()
author = fields.Str()
description = fields.Str()
class Book:
def __init__(self, title, author):
self.title = title
self.author = author
incoming_book_data = {
"title": "Clean Code",
... | maxkhrichtchatyi/Practice-Python | Python/general/marshmallow/deserialization.py | deserialization.py | py | 462 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "marshmallow.Schema",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "marshmallow.fields.Str",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "marshmallow.fields",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "marshmallow... |
29931024728 | from flask import Blueprint, render_template, request
from app import db
from products.models import TV, Fridge
products = Blueprint('products', __name__, template_folder='templates', static_folder='static')
def sort(data):
# Сортируем по параметру выбранном пользователем
if request.form["sort"] == "click_a... | IrNV/EVO_web_test | products/blueprint.py | blueprint.py | py | 2,181 | python | ru | code | 0 | github-code | 97 | [
{
"api_name": "products.models",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "flask.Blueprint",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.request.form",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "flask.request",... |
72901555200 | import logging
import inspect
import sys
active_breakpoints = []
func_breakpoints = {}
def activate_breakpoint(tags):
"""
Active the breakpoints for a given list of tags
Parameters
----------
tags: list
List of tag names to activate
Returns
-------
activate_break_poi... | fred3m/ipydebug | ipydebug/core.py | core.py | py | 7,078 | python | en | code | 4 | github-code | 97 | [
{
"api_name": "inspect.stack",
"line_number": 154,
"usage_type": "call"
},
{
"api_name": "inspect.isfunction",
"line_number": 159,
"usage_type": "call"
},
{
"api_name": "logging.debug",
"line_number": 163,
"usage_type": "call"
},
{
"api_name": "logging.warning",
... |
6730231998 |
import logging
import re
from django.utils.translation import ugettext_lazy as _
from horizon import tables
from horizon.templatetags.sizeformat import filesizeformat, float_format
LOG = logging.getLogger(__name__)
class StringWithPlusOperation(str):
"""Override "+" operation for string object to make."""
... | suyan/ceilometer-horizon | ceilometer_horizon/admin/tables.py | tables.py | py | 13,348 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "horizon.templatetags.sizeformat.filesizeformat",
"line_number": 77,
"usage_type": "call"
},
{
"api_na... |
30910270731 | #!/usr/bin/env python3
import queue, datetime, re
try:
from tkinter import *
from tkinter.ttk import *
import tkinter.font as tkFont
except:
from Tkinter import *
import Tkinter.font as tkFont
from Tkinter.ttk import *
def time(s):#this was defined somewhere already
if re.search('^\\d\\d:\\d\\d$', s):
... | DHS-Computer-Science/DHS-HSPC-2015-2016 | Grading_Program/Gui.py | Gui.py | py | 8,887 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "re.search",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "datetime.... |
27853015831 | # -*- coding: utf-8 -*-
import collections
from ZODB.POSException import POSKeyError
from zope.component import adapts
from zope.interface import implements
from bika.lims import api
from bika.lims.utils import get_link
from bika.coa import is_installed
from bika.coa import _
from senaite.app.listing.interfaces impor... | bikalims/bika.coa | src/bika/coa/browser/listingview/report_listing.py | report_listing.py | py | 2,729 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "zope.component.adapts",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "senaite.app.listing.interfaces.IListingView",
"line_number": 17,
"usage_type": "argument"
},
{
"api_name": "zope.interface.implements",
"line_number": 18,
"usage_type": "call"... |
16761957571 | import pandas as pd
import numpy as np
import tensorflow as tf
from sklearn import preprocessing, model_selection
def get_data():
bc = pd.read_csv('data/wdbc.data',
header=None)
print(bc)
bc.info()
enc = preprocessing.LabelEncoder()
y = enc.fit_transform(bc[1])
y = y.resha... | MerryBad/python_learn | Day_25_01_BreastCancer.py | Day_25_01_BreastCancer.py | py | 2,029 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.LabelEncoder",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing",
"line_number": 12,
"usage_type": "name"
},
{
"api_name"... |
18187019958 | """
A utility for building a QM config file (which is a highly nested Python dict)
from the attributes of Quantum Element objects. We use the QM config schema
(available at https://qm-docs.s3.amazonaws.com/v0.8/config/index.html) to first
create a schema dict from whose structure the config file for the given
elements ... | qcrew-lab/qcore | codebase/instruments/quantum_machines/qm_config_builder.py | qm_config_builder.py | py | 11,661 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pathlib.Path",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "yaml.safe_load",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "codebase.instruments.QuantumElement",
"line_number": 60,
"usage_type": "name"
},
{
"api_name": "copy.... |
9248819847 | import pymysql
from dotenv import load_dotenv
import os
import app
products_sign = """ __ __
___ _______ ___/ /_ ______/ /____
/ _ \/ __/ _ \/ _ / // / __/ __(_-<
/ .__/_/ \___/\_,_/\_,_/\__/\__/___/
/_/_________________________________/
"""
def database_connection(... | rafsimo/generation-mini-project | source/products.py | products.py | py | 6,244 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
... |
31510555029 | from hamcrest.core import assert_that
from nose.plugins.attrib import attr
from mdts.lib.binding_manager import BindingManager
from mdts.lib.physical_topology_manager import PhysicalTopologyManager
from mdts.lib.virtual_topology_manager import VirtualTopologyManager
from mdts.tests.utils.asserts import receives
from m... | xavileon/mdts | mdts/tests/functional_tests/test_l4state.py | test_l4state.py | py | 8,574 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "mdts.lib.physical_topology_manager.PhysicalTopologyManager",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "mdts.lib.virtual_topology_manager.VirtualTopologyManager",
"line... |
22608185645 | """
Crop image randomly based on original size
"""
import os
import cv2
import numpy as np
import random
from torchvision import transforms
class RandomCropDramaticlly(object):
def __init__(self, minimum_percent=0.7, maximum_percent=0.85, p=0.5):
"""
random crop input image by percent, returned im... | RiDang/JMLN | util/smart_crop_transforms.py | smart_crop_transforms.py | py | 5,972 | python | en | code | 8 | github-code | 97 | [
{
"api_name": "random.random",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number"... |
10241650426 | import gi
gi.require_version ('Astroid', '0.2')
gi.require_version ('Gtk', '3.0')
from gi.repository import GObject, Gtk, Astroid
import os, os.path
import sys
import json
import colorsys
import struct
from hashlib import md5
print ("hls-hsv-tag-color: plugin loading..")
class HlsHsvTagColorPlugin (GObject.Object):
... | astroidmail/astroid-plugin-hls-hsv-tagcolor | hls-hsv-tag-color.py | hls-hsv-tag-color.py | py | 4,574 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "gi.require_version",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "gi.require_version",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "gi.repository.GObject.Object",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": ... |
11523349316 | from googleapiclient import errors
import os
import math
from googleapiclient.discovery import build
from google_auth_oauthlib.flow import InstalledAppFlow
from google.auth.transport.requests import Request
from google.oauth2.credentials import Credentials
class FileCopyError(Exception):
pass
class FileAccessErr... | shivamhw/foogle | app/gdrive.py | gdrive.py | py | 7,757 | python | en | code | 5 | github-code | 97 | [
{
"api_name": "os.path.exists",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "google.oauth2.credentials.Credentials.from_authorized_user_file",
"line_number": 34,
"usage_type": "call"
}... |
24045818516 | import sys
from PySide2.QtCore import Qt
from PySide2.QtGui import QBrush, QPainter, QPen, QColor
from PySide2.QtWidgets import (
QGraphicsRectItem,
QGraphicsScene,
QGraphicsView,
QHBoxLayout,
QWidget,
)
from PySide2 import QtWidgets, QtCore, QtGui
# It's a subclass of QGraphicsRectItem that emit... | timsmolyanin/work_examples | fug_control_application/qgraphics_widget.py | qgraphics_widget.py | py | 4,031 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "PySide2.QtWidgets.QGraphicsRectItem",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "PySide2.QtCore.Signal",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "PySide2.QtCore",
"line_number": 17,
"usage_type": "name"
},
{
"api_name... |
24122938047 | import datetime
import logging
import os
import ashapp.utildatainsertion as udi
from ashapp.ashruninterface import ModelCollectionInterface
from ashapp.runemittimes import RunEmitTimes
from utilhysplit.metfiles import gefs_suffix_list
from utilhysplit.runhandler import ProcessList
from utilvolc.runhelper import is_inp... | noaa-oar-arl/utilhysplit | ashapp/collectemittimes.py | collectemittimes.py | py | 7,370 | python | en | code | 9 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "ashapp.ashruninterface.ModelCollectionInterface",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "ashapp.runemittimes.RunEmitTimes.ilist",
"line_number": 32,
"usage_type... |
22177495161 | from fastapi import FastAPI
from pydantic import BaseModel
from typing import List
app = FastAPI()
# Datos de prueba
users = []
boards = []
cards = []
class User(BaseModel):
name: str
email: str
password: str
class Board(BaseModel):
name: str
class Card(BaseModel):
tit... | camilomtt/API | users-pomokan.py | users-pomokan.py | py | 1,406 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pydantic.BaseModel",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "pydantic.BaseModel",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "pydantic.BaseMod... |
35097105091 | import unittest
try:
from unittest.mock import Mock
except ImportError:
from mock import Mock
from cartoframes.viz import helpers, Source
class TestColorContinuousLayerHelper(unittest.TestCase):
def setUp(self):
self.orig_compute_query_bounds = Source._compute_query_bounds
Source._compute_... | idriss554/cartoframes | test/viz/helpers/test_color_continuous_layer.py | test_color_continuous_layer.py | py | 5,502 | python | en | code | null | github-code | 97 | [
{
"api_name": "unittest.TestCase",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "cartoframes.viz.Source._compute_query_bounds",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "cartoframes.viz.Source",
"line_number": 11,
"usage_type": "name"
... |
21815127869 | import copy
import os
from tqdm import tqdm
from yaml import safe_load, YAMLError
from game.hex import Hex
from game.nim import Nim
from rl.anet_agent import ANETAgent
from rl.topp import play_game, anet_tournament
from rl.uniform_agent import UniformAgent
ROOT_DIR = os.path.dirname(os.path.abspath(__file__))
def sa... | P1NHE4D/it3105_hex_ai | main.py | main.py | py | 2,337 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.path.dirname",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_nu... |
6843943625 | """
This is the home function for the app
"""
import os
from functools import cache
from flask import Flask
from redis import Redis, RedisError
app = Flask(__name__)
# redis = Redis()
def connect_to_redis():
"""
Connects to the Redis server
"""
return Redis.from_url(os.getenv("REDIS_URL", "redi... | funsojoba/flask_devop | tracker/page_tracker/app.py | app.py | py | 862 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "redis.Redis.from_url",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "redis.Redis",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "os.getenv",
"line_nu... |
8665243145 | import cv2 as cv
import numpy as np
from handDetector import HandDetector
def main():
# 保存图片的个数
save_nums = 0
# 打开摄像头，参数为0时表示打开内置摄像头
cap = cv.VideoCapture(0)
# 创建手势识别对象
detector = HandDetector()
# 手指头列表
tip_idx = [4, 8, 12, 16, 20]
# 手势图片路径
fingersImgPath = [f'./data/fingers/{i... | 77zzl/noteKnight | code/project/opencv/hand/main.py | main.py | py | 3,244 | python | zh | code | 0 | github-code | 97 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "handDetector.HandDetector",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "cv2.flip",
... |
14129585401 | from __future__ import print_function, unicode_literals
import urllib
import base64
import voodoo.log as log
from voodoo.log import logged
from flask import request, make_response, redirect
from weblab.core.login.web import weblab_api
from weblab.core.login.web import ExternalSystemManager
import weblab.core.login.... | weblabdeusto/weblabdeusto | server/src/weblab/core/login/web/uned_sso.py | uned_sso.py | py | 3,784 | python | en | code | 37 | github-code | 97 | [
{
"api_name": "urllib.unquote",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "base64.decodestring",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "M2Crypto.BIO.MemoryBuffer",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "M2Crypto... |
1825565759 | import argparse
from functools import partial, update_wrapper
import torch
from scipy.stats.distributions import binom, uniform
import sys
sys.path.append("./DeepOBS/")
import deepobs
from deepobs import config
from deepobs.tuner import RandomSearch
from deepobs.tuner.sampler import log_uniform, negative_log_uniform,... | idiap/hypaobp | main_runner.py | main_runner.py | py | 6,690 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "sys.path.append",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "deepobs.config.set_framework",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "deepobs.conf... |
41621390779 | import os
import platform
from distutils.errors import CCompilerError
from distutils.errors import DistutilsExecError
from distutils.errors import DistutilsPlatformError
from setuptools import Extension
from setuptools import setup
from setuptools.command.build_ext import build_ext
class optional_build_ext(build_ext... | zopefoundation/zope.proxy | setup.py | setup.py | py | 3,810 | python | en | code | 5 | github-code | 97 | [
{
"api_name": "setuptools.command.build_ext.build_ext",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "setuptools.command.build_ext.build_ext.run",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "setuptools.command.build_ext.build_ext",
"line_number": 19,... |
43072288047 | import inspect
import os
import re
import time
from collections import OrderedDict
from collections.abc import Generator
from typing import Any, Callable, ClassVar, NoReturn, Optional, TypeVar, Union, overload
import requests
from . import humanity
from .ponyfill import bisect_left
CallableT = TypeVar("CallableT", b... | satgo1546/pykinezumiko | pykinezumiko/__init__.py | __init__.py | py | 22,247 | python | zh | code | 1 | github-code | 97 | [
{
"api_name": "typing.TypeVar",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "typing.Callable",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.ClassVar",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"li... |
9338781484 | import cv2
import numpy as np
img = cv2.imread("Documents/python/images/lena-1.jpg")
lr1 = cv2.pyrDown(img)
lr2 = cv2.pyrDown(lr1)
hr2 = cv2.pyrUp(lr2)
cv2.imshow("original image", img)
cv2.imshow("pyrDown1 image", lr1)
cv2.imshow("pyrDown2 image", lr2)
cv2.imshow("pyrUp 1 image", hr2)
#this image has bad qual... | marzitayebi/pyDown-pyUp | pyDown.Pyup.py | pyDown.Pyup.py | py | 420 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "cv2.imread",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.pyrDown",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.pyrDown",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.pyrUp",
"line_number": 8,
... |
73136159680 | import sys
from awsglue.transforms import *
from awsglue.utils import getResolvedOptions
from pyspark.context import SparkContext
from awsglue.context import GlueContext
from awsglue.job import Job
from pyspark.sql import functions as f
from pyspark.sql.functions import udf
from pyspark.sql import types as t
from pyspa... | aws-samples/aws-sagemaker-pytorch-shop-by-style | src/etl/gremlin/zappos50k-edges.py | zappos50k-edges.py | py | 2,380 | python | en | code | 23 | github-code | 97 | [
{
"api_name": "awsglue.utils.getResolvedOptions",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "pyspark.context.SparkContext",
"line_number": 14,
"usage_type": "call"
},
{
"api_n... |
31261361504 | from django.urls import path
from . import views
urlpatterns = [
#for the login page
path('login/', views.admin_login, name='login'),
#for the logout page
path('logout/', views.admin_logout, name='logout'),
#for the dashboard page
path('', views.dash, name='dash'),
#for the docume... | uzair02/Employee_Management_System-django | dashboard/urls.py | urls.py | py | 408 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
36647661442 | import zipfile
import os
import requests
import argparse
from tqdm import tqdm
parser = argparse.ArgumentParser(description='Download From Google Drive helper')
parser.add_argument('--path', type=str, default='./')
def download_file_from_google_drive(id, destination):
URL = "https://docs.google.com/uc?export=dow... | ruiliu-ai/mytools | download_from_google_drive.py | download_from_google_drive.py | py | 1,907 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "requests.Session",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.makedirs",
"... |
29904947790 | from django.conf.urls import url
from . import views
urlpatterns = [
url(r'bloglist',views.BlogList,name='list'),
url(r'^detail/(?P<slug>[-\w]+)$',views.BlogDetail,name='detail'),
url(r'^authorlist/',views.BlogAuthors,name='authorlist'),
url(r'^author/(?P<id>\d+)$', views.BlogListByAutho... | SardarDawar/Django-blog | blog/blogs/urls.py | urls.py | py | 840 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.co... |
14633212539 | """Line Drawing Algorithms (2D)"""
import math
from typing import List, Tuple
def bresenham(x1: int, y1: int, x2: int, y2: int) -> List[Tuple[int, int]]:
"""Breshenham's line algorithm - 2D version."""
result = [(x1, y1)]
dx, dy = abs(x2 - x1), abs(y2 - y1)
x_inc, y_inc = 1, 1
x, y = x1, y1
... | ArchTangent/fov-visualization | src/lines.py | lines.py | py | 6,852 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "typing.List",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 48,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": ... |
22274873075 | from mongo_database.mongo import export_to_mong, mongo_to_sheet
from scrapers.scraper import Amazon
import asyncio
import time
if __name__ == '__main__':
async def main():
base_url = "https://www.amazon.com/s?k=sexy+dresses&rh=n%3A1045024%2Cn%3A11006703011&dc&ds=v1%3A%2B%2B%2BeqnlN6RopN%2BQAazKtqRPqLIOR... | Dev0109/scraper-aws | main.py | main.py | py | 1,285 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "mongo_database.mongo.export_to_mong",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "asyncio.run",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "time.time",... |
30152298747 | """
Retrieves
history
data
for a given numeric (either int or float) item_id
"""
from pyzabbix import ZabbixAPI
from datetime import datetime
import time
import my_sort
class zabbix_api:
def __init__(self, zabbix_server, zabbix_user, zabbix_passwd):
# The hostname at which the Zabbix web interface is ava... | alec131/zabbix | tools/zabbix_report/zabbix_report.py | zabbix_report.py | py | 11,013 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pyzabbix.ZabbixAPI",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "my_sort.Stats",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "my_sort.Stats",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "my_sort.Stats",
"l... |
9247275710 | import numpy as np
import torch
def denormalization(x):
mean = np.array([0.5, 0.5, 0.5])
std = np.array([0.5, 0.5, 0.5])
x = (((x.transpose(1, 2, 0) * std) + mean) * 255.).astype(np.uint8)
# x = (x.transpose(1, 2, 0) * 255.).astype(np.uint8)
return x
def denorm(x):
"""Convert the range from ... | Absolute-Value/Clothes-RIAD-pytorch | modules/funcs.py | funcs.py | py | 3,469 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "numpy.array",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "numpy.Inf",
"line_number": ... |
10277244470 | import re
import collections
coord_to_erosion = {}
def calc_erosion(x, y):
pos = (x,y)
if pos in coord_to_erosion:
return coord_to_erosion[pos]
if x == 0 and y == 0 or x == target_x and y == target_y:
geo_id = 0
elif y == 0:
geo_id = x * 16807
elif x == 0:
geo_id =... | philgeb/AoC2018 | task22.py | task22.py | py | 2,469 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "re.search",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 39,
"usage_type": "call"
}
] |
676962611 | """
Program: employee.py
Author: Rachael Wolf
Last date modified: 11/1/2020
This program contains a Class called Employee and some functions relating to it
The functions included are: set_last_name(), set_first_name(), display(), str(), and repr()
"""
import datetime
class Employee:
"""A class representing an em... | raswolf/Python | module10/class_definitions/employee.py | employee.py | py | 2,325 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "datetime.date.today",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 58,
"usage_type": "attribute"
}
] |
7022037810 | import errno
import os
import random
import signal
import socket
from time import sleep
import unittest
from unittest import mock
try:
from time import monotonic as time
except ImportError:
from time import time as time
try:
import resource
except ImportError:
resource = None
import zmq
from aiozmq.se... | aio-libs/aiozmq | tests/selectors_test.py | selectors_test.py | py | 14,434 | python | en | code | 414 | github-code | 97 | [
{
"api_name": "socket.socketpair",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "socket.AF_INET",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_STREAM",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "so... |
33317592074 | import matplotlib.pyplot as plt
import numpy as np
def part1(x, y, theta):
plt.figure()
plt.plot(x, y, 'x', color='b')
line = np.linspace(-50, 40, 2)
plt.plot(line, theta[0] + theta[1] * line)
plt.xlim(-50, 40)
plt.ylim(-5, 40)
plt.show()
plt.savefig('data/fig1.png')
def parte2(errTr... | jenmiu2/Aprendizaje-Automatico | practica5/models/showData.py | showData.py | py | 1,111 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplo... |
70334936959 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Exports a document.
"""
import json
import sys
import shlex
import subprocess
from collections import namedtuple
from util import parse_psql_array
def query_psql(sql):
"""
Sends a query to psql.
"""
cmd = r"""psql -h localhost -p 4242 kbp kbp -c "COP... | arunchaganty/kbp-online | scripts/export_document.py | export_document.py | py | 3,548 | python | en | code | 4 | github-code | 97 | [
{
"api_name": "subprocess.check_output",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "shlex.split",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "util.parse_psql_array",
"line_number": 33,
"usage_type": "argument"
},
{
"api_name": "json.du... |
41274964512 | from bs4 import BeautifulSoup as bs
from urllib.request import urlopen as uReq
import requests
import logging
from flask import Flask, render_template, request
logging.basicConfig(filename="scrapper.log" , level=logging.INFO)
app = Flask(__name__)
@app.route("/review" , methods = ['POST' , 'GET'])
def index():
if... | dhruvg13/flipkart_reviews_scrapper | app.py | app.py | py | 2,946 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "logging.basicConfig",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.request.method",... |
74493571197 | import sys
import json
# Magical list of ip addresses and ports which cannot exist in terraform
test_var = dict()
test_var["dev"] = "10.0.0.1:8081"
test_var["qa"] = "10.0.0.2:8082"
test_var["uat"] = "10.0.0.3:8083"
test_var["stage"] = "10.0.0.4:8084"
test_var["prod"] = "10.0.0.5:8085"
# Step#1 - Parse the inp... | chavo1/ext-terraform | scripts/get_ip_port.py | get_ip_port.py | py | 748 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sys.stdin.read",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_numbe... |
31744566204 | from os import remove, path
from argparse import ArgumentParser
from datetime import datetime, timedelta
from json import dumps
from flask import Flask, request
from dateutil.parser import isoparse
from peewee import *
from modules import config, model
# Set up the reset flag
parser = ArgumentParser("An API for ther... | OwenTourlamain/AppointmentAPI | main.py | main.py | py | 2,586 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "modules.config.DB_PATH... |
2896067347 |
from github import Github, GithubIntegration
import os
def get_connection(owner, repo_name):
app_id=335683
# Read the bot certificate
with open(
os.path.normpath(os.path.expanduser('./test-pr-labeler.2023-05-18.private-key.pom')),
'r'
) as cert_file:
app_key = cert_file... | schneiderl/test-pr-labeler | connection.py | connection.py | py | 614 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.path.normpath",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.expanduser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "github.GithubIntegratio... |
74097568320 | import requests
import json
from time import time
url = 'https://raw.githubusercontent.com/joemulberry/parallel/main/data/opensea_parallel_dumps.json'
resp = requests.get(url)
os_data = json.loads(resp.text)
url = 'https://raw.githubusercontent.com/joemulberry/w_or_e/main/ask_bids.json'
resp = requests.get(url)
w_or_... | joemulberry/w_or_e | w_or_e.py | w_or_e.py | py | 969 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "requests.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 11... |
34477213461 | from django.test import TestCase
from django.core.management import call_command
from django.contrib.sessions.models import Session
from django.utils import timezone
from datetime import timedelta
from myuw.management.commands.clear_expired_sessions import (
get_cut_off_params, run_delete)
class TestClearSessions... | uw-it-aca/myuw | myuw/test/management/commands/test_clear_expired_sessions.py | test_clear_expired_sessions.py | py | 1,506 | python | en | code | 13 | github-code | 97 | [
{
"api_name": "django.test.TestCase",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.contrib.sessions.models.Session.objects.create",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.contrib.sessions.models.Session.objects",
"line_number": 13... |
21139625831 | from gi.repository import GLib
try:
import RPi.GPIO as GPIO
except RuntimeError:
print("Error importing RPi.GPIO! This is probably because you need superuser privileges. You can achieve this by using 'sudo' to run your script")
import picamera
import datetime
import dailymotion
import subprocess
camera = pic... | tintou/projet-2A | src/projet.py | projet.py | py | 2,013 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "picamera.PiCamera",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "dailymotion.Dailymotion",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "subprocess.call",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "datetime.da... |
36922980294 | import os
import argparse
from model import ConvBlock, Wav2Letter
import torch
import time
import numpy as np
import torch
import torchaudio
import torch.nn as nn
from torch.nn.utils.rnn import *
from torch.utils.data import DataLoader, Dataset
from utils.transcript_utils import *
import os
import sys
import numpy as... | ukenia/quantization-cnn | evaluate.py | evaluate.py | py | 5,856 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "model.eval",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "model.get_inputs",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "time.time",
"... |
42431392776 | from PIL import Image, ImageFont, ImageDraw
import requests
from io import BytesIO
def currentHeight(text, font):
return font.getsize(text)[1]
def currentWidth(text, font):
return font.getsize(text)[0]
fontFamily = "impact.ttf"
class Meme:
def __init__(self):
self.requestFileName()
self.r... | skyrockprojects/draft-python-course | Project-meme-generator/meme.py | meme.py | py | 2,577 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "requests.get",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "io.BytesIO",
"line_number":... |
21109589290 | #!/usr/bin/env python
import sys
import click
import numpy as np
import pandas as pd
import tifffile as tiff
from rich import print, traceback
@click.command()
@click.option("-m", "--meta", required=True, type=str, help="Path to metadata file")
@click.option("-r", "--ratios", required=True, type=str, help="Path to... | qbic-pipelines/root-tissue-analysis | bin/rtastat.py | rtastat.py | py | 1,912 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "rich.print",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "rich.print",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "click.command",
"line_numbe... |
10101713941 | from collections import Counter
class Solution:
def findAnagrams(self, s, p):
targetHM = Counter(p)
sw = len(p)
result = []
i = 0
j = i+sw-1
tempHM = Counter(s[i:j])
while i<(len(s)-sw+1):
tempHM[s[j]]+=1
match = True
for k,... | fedhako7/Competitive-Programming | Find all anagram in string.py | Find all anagram in string.py | py | 601 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "collections.Counter",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 9,
"usage_type": "call"
}
] |
31464085281 | from django.http import HttpResponse
from django.views.decorators.csrf import csrf_exempt
from . import api
# Create your views here.
@csrf_exempt
def index(request):
wx = api.Base()
data = request.GET
try:
echostr = data['echostr']
result = wx.check_sign(data)
if result:
... | ChanMo/django_wechat | wechat/views.py | views.py | py | 544 | python | en | code | 10 | github-code | 97 | [
{
"api_name": "django.http.HttpResponse",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "django.http.HttpResponse",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "django.http.HttpResponse",
"line_number": 22,
"usage_type": "call"
},
{
"api_na... |
3165637708 | import dynet as dy
import argparse
import time
import random
import numpy as np
from collections import defaultdict
import math
import pickle
import json
from tqdm import tqdm
from model import LM
parser = argparse.ArgumentParser()
parser.add_argument("--dynet-mem", help="allocate memory for dynet")
parser.add_argumen... | sikfeng/language-modelling-for-code-switching | rank_lstm_alts/get_scores.py | get_scores.py | py | 8,062 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 96,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 97,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_num... |
2716122487 | import sys
import math
from io import open
from conllu import parse
def load_conll_file(filename):
text = open(filename, "r", encoding="utf-8").read()
return parse(text)
def save_tb(tb):
for sent in tb:
if sent.metadata:
for key, value in sent.metadata.items():
if va... | aymara/lima-ud-depparser | split_long_sentences.py | split_long_sentences.py | py | 10,062 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "io.open",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "conllu.parse",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "math.floor",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "sys.stderr.write",
"line_number": ... |
40321251863 | # encoding: utf-8
# (C) 2001 - 2020 Rajkumar Palani <rajkumarpalani07@gmail.com>
import pytest
from tamil import utf8
def test_get_tamil_utf_count():
expected = 364
assert(utf8.get_tamil_utf_count() == expected)
def test_get_tamil_utf():
expected = 364
assert(len(utf8.get_tamil_utf()) == expected)
... | rajkumarpal07/powertamil | tests/test_utf8.py | test_utf8.py | py | 1,027 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "tamil.utf8.get_tamil_utf_count",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "tamil.utf8",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "tamil.utf8.get_tamil_utf",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "ta... |
37888491191 | import IAFlow as flw
from scipy import ndimage
from matplotlib.pyplot import imshow, show
import random
import numpy as np
def load_data():
data = np.loadtxt("Data.txt", dtype='float32')
return data
def num(y):
resultRaw = []
for i in range(len(y)):
resultRaw.append(np.where(y[i] == y[i].max()... | davidhrra/IAFlow | ex4.py | ex4.py | py | 2,364 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "numpy.loadtxt",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.argmax",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.reshape",
"line_numbe... |
19574226139 | #!/usr/bin/env python
"""
Global Average Plot
===================
Using cartopy_ we can easily visualize gridded model output on maps with
different cartographic projections, and then configure them with any
aesthetics or features such as continents, geopolitical borders, gridlines,
and more.
.. _cartopy: http://scit... | darothen/gcpy | examples/plotting/plot_global.py | plot_global.py | py | 2,179 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "matplotlib.pyplot.style.use",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 17,
"usage_type": "name"
},
{
"api_na... |
13592634542 | from django.contrib import admin
from .models import Category, Question
class QuestionAdmin(admin.ModelAdmin):
fieldsets = [
(None, {'fields': ['question_text']}),
]
admin.site.register(Question, QuestionAdmin)
admin.site.register(Category)
# Register your models here.
| rohit-raj/Job_Done | testproject/quest/admin.py | admin.py | py | 304 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.site.register",
"line_number": 10,
"usage_type": "call"
},... |
29171678044 | import matplotlib.pyplot as plt
import itertools
from sklearn.cluster import KMeans
from sklearn import metrics
from time import time
from sklearn.ensemble import RandomForestClassifier
from sklearn.datasets import make_classification
import numpy as np
import matplotlib.pyplot as plt
from sklearn.naive_bayes import Ga... | turnersr/modulation-distinguishing | utilities.py | utilities.py | py | 4,280 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "numpy.linspace",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 63,
"usage_type": "name"
},
{
"api_name": "matplotlib.... |
72941681918 | import string
from bs4 import BeautifulSoup
from classObj import *
import requests
class SubjectObj:
#Holds to top level URL
mainURL = 'https://catalog.unc.edu/courses/'
def __init__(self, name, abb, href):
self.name = name
self.abbreviation = abb
self.href = href
self.cl... | iadams749/UNC-Class-Info-Scraper | subjectObj.py | subjectObj.py | py | 5,742 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "requests.get",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "string.ascii_letters",
"line_number": 140,
"usage_type": "attribute"
}
] |
36040116871 | #!/usr/bin/env python3
import argparse
from mlagents_envs.environment import UnityEnvironment
from mlagents_envs.side_channel.engine_configuration_channel import EngineConfigurationChannel
from gym_unity.envs import UnityToGymWrapper
from lib import model
from PIL import Image
import numpy as np
import torch
ENV_ID... | MarcielDechert/Robotic-RL | Lernalgorithmen/SAC-Algorithmus/SAC_Player.py | SAC_Player.py | py | 2,265 | python | de | code | 0 | github-code | 97 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "mlagents_envs.side_channel.engine_configuration_channel.EngineConfigurationChannel",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "mlagents_envs.environment.UnityEnviron... |
72909486718 | import logging
import pytorch_lightning as pl
import torch
import torchmetrics
from torch.nn import functional as F
from nevermore.data import NYUv2Dataset
from nevermore.metric import Abs_CosineSimilarity
from nevermore.model.network import SingleSegNet
__all__ = ['SingleSegnetNYUv2Model']
logger = logging.getLogg... | mmmmmddddd/nevermore | nevermore/model/module/single_segnet_nyuv2.py | single_segnet_nyuv2.py | py | 4,464 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pytorch_lightning.LightningModule",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "nevermore.data.NYUv2Dataset.CLASSES",
"line_number": 30,
"usage_type": "attribut... |
6329015806 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import itertools
import os
import shutil
import tensorflow as tf
from tensorflow_recommenders_addons import dynamic_embedding as de
from tensorflow.core.protobuf import config_pb2
from tensorflow.python.fram... | tensorflow/recommenders-addons | tensorflow_recommenders_addons/dynamic_embedding/python/kernel_tests/horovod_sync_train_test.py | horovod_sync_train_test.py | py | 14,018 | python | en | code | 520 | github-code | 97 | [
{
"api_name": "tensorflow.core.protobuf.config_pb2.ConfigProto",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "tensorflow.core.protobuf.config_pb2",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "tensorflow.core.protobuf.config_pb2.GPUOptions",
"line_nu... |
4187673623 | import logging
import os
import shutil
import subprocess
import tempfile
import multiprocessing as mp
from autometa.common.exceptions import ExternalToolError
logger = logging.getLogger(__name__)
def sort(sam, bam, cpus=mp.cpu_count()):
"""
Views then sorts sam file by leftmost coordinates and outputs to ba... | KwanLab/Autometa | autometa/common/external/samtools.py | samtools.py | py | 2,810 | python | en | code | 34 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "multiprocessing.cpu_count",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
11592016945 | from django.shortcuts import render
from django.conf import settings
from django.core.mail import send_mail
# Create your views here.
def index(request):
return render(request,'email/index.html',context=None)
def send_email(request):
subject='Django mail'
message='trying to send mail'
from_email=setti... | subhamMishra14/DJANGO-DEPLOYMENT-MINDFIRE | DJANGO-DEPLOYMENT-MINDFIRE/level_4_project_mindfire_SEND_EMAILS/SEND_EMAILS/views.py | views.py | py | 518 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.shortcuts.render",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.conf.settings.EMAIL_HOST_USER",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 12,
"usage_type": "name"
},
{
... |
17204244677 | import os
import sys
import pandas as pd
import pytest
import shutil
from datetime import datetime
sys.path.append(os.path.abspath(os.path.dirname(__file__)+'/../..'))
from src import todos
@pytest.fixture(scope="function")
def tmp_dir(tmpdir_factory):
my_tmpdir = tmpdir_factory.mktemp("pytestdata")
todos.PAT... | RoSaav/modulo_II | todos/tests/integration/test_integration.py | test_integration.py | py | 1,976 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sys.path.append",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
25101885579 | #!/usr/bin/env python
"""Copy random files form source to the destination"""
import logging
import os
def parseArgs():
"""Parse arguments from command line"""
from argparse import ArgumentParser
from sys import exit
parser = ArgumentParser(
description='Copy random files from source to destin... | asenci/fillrandom | fillrandom.py | fillrandom.py | py | 4,628 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"l... |
15768578144 | import requests
import json_extract
from bs4 import BeautifulSoup
# Create session
s = requests.session()
# Extract data from JSON files
site = json_extract.extract('site.json')[0]
urls = site.urls
widgets = site.widgets
ext = site.app_window_ext
login_data = json_extract.extract('login_data.json')[0]
keywords = json... | Puratinamu/Application-Document-Generator | auto-apply.py | auto-apply.py | py | 1,677 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "requests.session",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "json_extract.extract",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "json_extract.extract",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "json_extract... |
27153454438 | import websocket
import json
import requests
from config import username, password, rooms, header, admin, avatar
from battle import Battle
current_battle = None
current_information = None
opp_pokemon = {
"name": None,
"hp": None
}
def parser(wsapp, message):
#websocket.enableTrace(True) # fo... | Emboar02/Embot02 | main.py | main.py | py | 3,789 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "battle.Battle",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "config.username",
"line_number": 50,
"usage_type": "name"
},
{
"api_name": "config.password",
"line_... |
41233794022 | from selenium import webdriver
from selenium.webdriver.support.wait import WebDriverWait
import time
import requests
def geturl(url):
res = requests.head(url)
url = res.headers.get('location')
return url
a = 1
with open('id.txt', 'r') as x:
for line in x:
id = line.replace('\n', '')
url = 'http://cli... | jingtaiboke/google-crx-download | run.py | run.py | py | 598 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "requests.head",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 18,
"usage_type": "call"
}
] |
29791168901 | # coding=utf-8
# auther：Liul5
# date：2019/4/26 13:08
# tools：PyCharm
# Python：2.7.15
# https://py.checkio.org/en/mission/sendgrid-daily-spam/
# https://github.com/sendgrid/sendgrid-python/blob/master/USAGE.md#api-keys
import sendgrid
import json
from datetime import datetime
from datetime import timedelta
# need to r... | lucas234/leetcode-checkio | Checkio/sendGrid_spam_reports.py | sendGrid_spam_reports.py | py | 802 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sendgrid.SendGridAPIClient",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 21,
"usage_type": "name"
},
{
"api_name"... |
29244517817 | import torch
import torch.nn as nn
import os
class Model1(torch.nn.Module):
def __init__(self):
super().__init__()
self.conv = nn.Conv2d(1, 1, 3, stride=1, padding=1,bias=True)
self.conv.weight.data.fill_(1)
self.conv.bias.data.fill_(0)
def forward(self, x):
x = self.c... | LittleSheepy/MyMLStudy | 09ONNX/01examples/00shape节点处理.py | 00shape节点处理.py | py | 1,192 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "torch.nn",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torch.nn",
"line_number": 18,... |
26336778504 | """OT-3 Module and it's attributes."""
from typing import Optional
from pydantic import Field
from typing_extensions import Literal
from emulation_system.compose_file_creator.config_file_settings import (
EmulationLevels,
Hardware,
OpentronsRepository,
SourceRepositories,
)
from emulation_system.compo... | Opentrons/opentrons-emulation | emulation_system/emulation_system/compose_file_creator/input/hardware_models/robots/ot3_model.py | ot3_model.py | py | 2,990 | python | en | code | 12 | github-code | 97 | [
{
"api_name": "robot_model.RobotAttributes",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "emulation_system.compose_file_creator.pipette_utils.get_valid_ot3_pipettes",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "emulation_system.compose_file_creator.pipe... |
714991217 | import sys
import ply.yacc as yacc
import turtle
import copy
from gramatica import tokens
class CalcError(Exception):
def __init__(self, message):
self.message = message
variables = {"main": {"type": "void", "param": {},
"run": [], "var": {"cont sys": 0}}}
# Cubo semantico con las... | Mike-Castro/ProyectoFinal-Compiladores | sintaxis.py | sintaxis.py | py | 26,272 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "copy.deepcopy",
"line_number": 350,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 363,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 375,
"usage_type": "call"
},
{
"api_name": "ply.yacc.yacc",
"lin... |
33216690174 | """AtomRhoOrbitalRadialSlater and AtomRhoOrbitalRadialSlaterL classes."""
from typing import NoReturn
import os
import os.path
import math
import numpy
import scipy
import scipy.optimize
from pycifstar import to_data
from cryspy.A_functions_base.function_1_objects import \
form_items_by_dictionary
from cryspy.A_... | ikibalin/cryspy | cryspy/C_item_loop_classes/cl_2_atom_rho_orbital_radial_slater.py | cl_2_atom_rho_orbital_radial_slater.py | py | 10,135 | python | en | code | 5 | github-code | 97 | [
{
"api_name": "cryspy.B_parent_classes.cl_1_item.ItemN",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "typing.NoReturn",
"line_number": 91,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 107,
"usage_type": "attribute"
},
{
"api_nam... |
30787421163 | # -*- coding: utf-8 -*-
"""
@author: Nashrah
"""
import pandas as pd
monthly_death=pd.read_csv('monthly_deaths.csv')
monthly_death['Year']=[d.split('-')[0] for d in monthly_death['date']]
#print(type(monthly_death['deaths']))
sum_deaths1841=0
sum_births1841=0
year1841=monthly_death.loc[monthly_d... | Nashrahkhan22/Medical-Advancement | medical_advancement.py.py | medical_advancement.py.py | py | 3,482 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 118,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 123,
"usage_type": "call"
},
{
"api_name": "matplotlib.p... |
763381551 | import fnmatch
import os
import glob
from pathlib import Path
class Tesztolok:
def __init__(self, lepath=None, lofilter=None, izfolder=False):
self.folderz = os.scandir(lepath)
self.pathz = Path(lepath if lepath is not None else "/")
self.lofilter = lofilter
self.izfolder = izfold... | disconnect5852/Pythonos | helloworld/__init__.py | __init__.py | py | 974 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "os.scandir",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 21... |
23347120528 | from gtts import gTTS
import os
import pyglet
from time import *
import sys
f = open(os.devnull, 'w')
sys.stdout = f
def say(text):
tts = gTTS(text=text, lang='en-uk')
filename = '/tmp/temp.mp3'
tts.save(filename)
start2=time()
music = pyglet.media.load(filename, streaming=False)
music.play()
... | grantpauker/baby-speak | babies.py | babies.py | py | 799 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.devnull",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "sys.stdout",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "gtts.gTTS",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pyglet.media.load",
"line_... |
2824696353 | from typing import List
class Solution:
def longestCommonPrefix(self, strs: List[str]) -> str:
common = strs[0]
for i in range(1, len(strs)):
right = 0
while right < len(strs[i]) and right < len(common) and strs[i][right] == common[right]:
right = right + 1
... | EmisonLu/LeetCode | Python/String/14_LongestCommonPrefix/solution.py | solution.py | py | 507 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
}
] |
19342165139 | import keras
from wnn_layer import WNN
from keras.models import Sequential
from keras.layers import Dense, Dropout, Activation
from keras.optimizers import SGD
from keras.utils import plot_model
import matplotlib.pyplot as plt
# Generate dummy data
import numpy as np
x = []
y = []
x_test = []
y_test = []
x_n = 0.01
l... | kenoma/KerasWaveletNN | KerasWaveletNeuralNetwork/case1_logistic_mapping.py | case1_logistic_mapping.py | py | 1,494 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "numpy.array",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "keras.models.Sequential",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "wnn_layer.WNN",
"... |
27943518194 | from PIL import Image
from io import BytesIO
import requests
import sys
import numpy as np
import tflite_runtime.interpreter as tflite
# import time
img = Image.open(requests.get(sys.argv[1], stream=True).raw)
w, h = img.size
image = Image.new('RGB', (512, 512), "WHITE") # RGM 스케일의 흰 정사각형 배경 이미지 생성
if w >= h: # 리사이징... | cjh980402/Soyabot | util/python/gl2face_portrait.py | gl2face_portrait.py | py | 1,941 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "PIL.Image.open",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 9,
... |
1439515743 | import os
import wave
import nltk
import logging
import contextlib
import environment as env
import speech_recognition as sr
from os import path
from recognizers import sphinx
# Duration, opens a wave file and finds the number of frames per rate
# Input: a filename with a .wav file
# Output: returns the framerate
de... | vanities/SoundCount | utils.py | utils.py | py | 4,514 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "contextlib.closing",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "wave.open",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number"... |
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