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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
72620470720 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
import csv
from io import StringIO
import sys
import auth_util
from apiclient.discovery import build
import google.api_core.exceptions
from google.cloud import bigquery
class GroupSync(object... | GoogleCloudPlatform/professional-services | examples/bigquery-row-access-groups/group_sync.py | group_sync.py | py | 7,495 | python | en | code | 2,602 | github-code | 97 | [
{
"api_name": "google.cloud.bigquery.Client",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "google.cloud.bigquery",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "auth_util.get_credentials",
"line_number": 47,
"usage_type": "call"
},
{
"api_... |
72258209278 | import random
import requests
import json
import os
import urllib3
curr_dir = os.path.dirname(os.path.realpath(__file__))
max_sounds = 4096
settings = None
with open(os.path.join(curr_dir, '..', 'settings.json')) as f:
# Load the JSON data into a Python object
settings = json.load(f)
# print(settings)
sound... | alex-lt-kong/public-address-client | tests/keeps-adding-sounds.py | keeps-adding-sounds.py | py | 1,169 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.path.dirname",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_n... |
40174894425 | if __name__ == '__main__':
from nnunetv2.paths import nnUNet_results, nnUNet_raw
import torch
from batchgenerators.utilities.file_and_folder_operations import join
from nnunetv2.inference.predict_from_raw_data import nnUNetPredictor
from nnunetv2.imageio.simpleitk_reader_writer import SimpleITKIO
... | MIC-DKFZ/nnUNet | nnunetv2/inference/examples.py | examples.py | py | 6,485 | python | en | code | 4,331 | github-code | 97 | [
{
"api_name": "nnunetv2.inference.predict_from_raw_data.nnUNetPredictor",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.device",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "batchgenerators.utilities.file_and_folder_operations.join",
"line_numbe... |
13261683807 | import numpy as np
from skimage.feature import canny
from skimage.filters import sobel_v
from skimage.morphology import binary_erosion, disk
from skimage.transform import hough_line, hough_line_peaks
from skimage import measure
def find_top_cc(img_bw, top_k: int):
"""
Get the largest connected component
:... | YeJinJeon/MRA_MRP_Collmap_DL | utils/dce_mra/correct_head_angle.py | correct_head_angle.py | py | 3,686 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "skimage.measure.label",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "skimage.measure",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "numpy.bincount",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.argsort",
... |
33659735909 | import sqlite3
connection = sqlite3.connect("company.db")
cursor = connection.cursor()
list_employees = """
SELECT id, name, position
FROM company
"""
monthly = """
SELECT monthly_salary
FROM company
"""
yearly = """
SELECT monthly_salary, yearly_bonus
FROM company
"""
add_employee = """
INSERT INTO company
(name,... | peter359/Programming101-3 | week7/manage_company.py | manage_company.py | py | 2,481 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sqlite3.connect",
"line_number": 3,
"usage_type": "call"
}
] |
24458972928 | from collections import Counter
from itertools import accumulate
class Solution:
"""
More thoughts...
"""
def sumOfFlooredPairs(self, nums):
nd = Counter(nums)
inds = [0]*(max(nums)+1)
# key part
for n in nd:
for i in range(n, len(inds), n):
... | MonkeyNi/yummy_leetcode | weekly_contests/1862_sum_of_floored_pairs.py | 1862_sum_of_floored_pairs.py | py | 553 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "collections.Counter",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "itertools.accumulate",
"line_number": 17,
"usage_type": "call"
}
] |
29575221080 | """
My Service
Describe what your service does here
"""
# from email.mime import application
from flask_restx import Api, Resource, fields, reqparse, inputs
from flask import jsonify, request, url_for, abort
from service.models import Wishlists, Items, DataValidationError
from .common import status # HTTP Status Cod... | CSCI-GA-2820-FA22-001/wishlists | service/routes.py | routes.py | py | 17,658 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask.jsonify",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "common.status.HTTP_400_BAD_REQUEST",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "common.status",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "c... |
29039814282 |
"""
Script_name: openweather_urllib3.py
Function: From input city (asked for) returns current temperature,
minimum_temperature, maximum_temperature, humidity,
current UTC, sunrise UTC, sunset UTC, weather description,
and city name.
"""
import urllib3
imp... | manolan1/PythonNotebooks | Additional/0_Practice_Programs/Solutions/openweather_urllib3.py | openweather_urllib3.py | py | 1,871 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "urllib3.PoolManager",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "time.asctime",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "time.gmtime",
"line_n... |
3346596621 | import pandas as pd
import seaborn as sn
import matplotlib.pyplot as plt
test1 = pd.read_csv('/Users/Brova/Downloads/occupancy_data/datatest.txt')
test1 = test1.set_index('date')
test2 = pd.read_csv('/Users/Brova/Downloads/occupancy_data/datatest2.txt')
test2 = test2.set_index('date')
tests_combined = pd.concat([test... | andrejbrova/CO2-Occupancy-Correlation-Matrix | Correlation_matrixes & Histograms (Code)/UCI/both_tests_correlation_matrix.py | both_tests_correlation_matrix.py | py | 549 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pandas.read_csv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"l... |
13355115526 | import torch
from torch.utils.data import Dataset, DataLoader
from random import randint
import pickle
import numpy as np
from PIL import Image
class EpicKitchensDataset(Dataset):
def __init__(self, labels_path, is_flow=False, transforms=None):
labels_df = load_pickle_data(labels_path)
self.transf... | rhodriguerrier/pytorch-i3d-epickitchens-features | kitchens_dataset.py | kitchens_dataset.py | py | 7,056 | python | en | code | null | github-code | 97 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torch.utils.data.Dataset",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "pickle.load",
"line_number": 125,
"usage_type": "call"
},
{
"api_name": "numpy.a... |
74228037758 | # -*- coding: utf-8 -*-
import logging.config
import logging
import traceback
PLUGIN_NAME = 'SmojSubmit'
class SmojSubmitFormatter(logging.Formatter):
def format(self, record):
level = record.levelname[0]
name = record.name
if name.startswith(PLUGIN_NAME + '.'):
... | YanWQ-monad/SmojSubmit | libs/logging.py | logging.py | py | 1,570 | python | en | code | 9 | github-code | 97 | [
{
"api_name": "logging.Formatter",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "traceback.format_exception",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "logging.config.dictConfig",
"line_number": 50,
"usage_type": "call"
},
{
"api_n... |
70501769280 | import weakref
from pyroute2.common import basestring
from pyroute2.netlink.rtnl.ifinfmsg import ifinfmsg
class Interface(dict):
table = 'interfaces'
def __init__(self, db, key):
self.db = db
self.event_map = {ifinfmsg: "load_ifinfmsg"}
self.kspec = ('target', ) + db.indices[self.tab... | crane-denny/python-pyroute2 | pyroute2/ndb/interface.py | interface.py | py | 3,117 | python | en | code | 4 | github-code | 97 | [
{
"api_name": "pyroute2.netlink.rtnl.ifinfmsg.ifinfmsg",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "pyroute2.netlink.rtnl.ifinfmsg.ifinfmsg.nla2name",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pyroute2.netlink.rtnl.ifinfmsg.ifinfmsg",
"line_numb... |
74226177600 | import sqlite3
from dataclasses import asdict
from nicegui import ui
from app.types import BattingAverage, BowlingAverage, Player, Season, SeasonRecord
def show_season(db: sqlite3.Connection, year: int) -> None:
min_innings = 5
min_wickets = 10
players = Player.all(db)
with ui.header(elevated=True)... | mikewoodhouse/stan | app/pages/season.py | season.py | py | 3,055 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sqlite3.Connection",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "app.types.Player.all",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "app.types.Player",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "nicegui.... |
21055770456 | import discord
from discord import app_commands
import morsecode
import caesarcode
token = 'xxxxxxxxxxxxxxxxxxx'
intents = discord.Intents.default()
client = discord.Client(intents=intents)
tree = app_commands.CommandTree(client)
@client.event
async def on_ready():
await tree.sync(guild=discord.Object(id=11090162... | rs0125/DisCipher | DisCipher_Bot.py | DisCipher_Bot.py | py | 2,110 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "discord.Intents.default",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "discord.Intents",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "discord.Client",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "discord.app_... |
9183670740 | import os
import inspect
import json
import sys
import platform
if platform.system() == 'Linux':
configdir = os.path.expanduser('~') + '/.config/bassa/'
elif platform.system() == 'Windows':
configdir = os.path.expanduser('~') + '/%app_data%/bassa/'
elif platform.system() == 'Darwin':
configdir = os.path.e... | scorelab/Bassa | components/core/ConfReader.py | ConfReader.py | py | 987 | python | en | code | 164 | github-code | 97 | [
{
"api_name": "platform.system",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.expanduser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "platform.system",
"l... |
37716081102 | #!/usr/bin/env python
"""
A complex-ish mox test example.
.. moduleauthor: Enji Cooper
.. date: April 2014
"""
import sqlite3
import unittest
import mox
from nose.tools import (
assert_raises,
)
tmp_database = None
def setup():
"""Initialize an sqlite3 object in memory with a dummy table"""
global t... | ngie-eign/scratch | programming/python/archive/mox_test.py | mox_test.py | py | 2,513 | python | en | code | 5 | github-code | 97 | [
{
"api_name": "sqlite3.connect",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "mox.Mox",
"line_number": 95,
"usage_type": "call"
},
{
"api_name": "nose.tools.assert_raises",
"line_number": 109,
"usage_type": "call"
}
] |
20452893120 | import itertools
import re
from eth_abi.exceptions import (
ParseError,
ABITypeError,
)
from eth_abi.grammar import (
parse as parse_type,
normalize as normalize_type,
)
from func_sig_registry.utils.solidity import (
get_arg_types,
validate_standard_type,
)
DYNAMIC_TYPES = ['bytes', 'string']... | pipermerriam/ethereum-function-signature-registry | func_sig_registry/utils/events_solidity.py | events_solidity.py | py | 4,897 | python | en | code | 201 | github-code | 97 | [
{
"api_name": "itertools.chain",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "re.VERBOSE",
"line_number": 86,
"usage_type": "attribute"
},
{
"api_name": "re.compile",
"line_num... |
73323366398 | import json
import csv
def json_csv(location_path):
with open(location_path) as f:
data = json.load(f)
posts = data['posts']
users = data['users']
u = {}
for i in users.keys():
u.update({i:users[i]['username']})
csvHeader = ['ID','Species Name','Count','Date','Time','... | damaniayash/dragonfly-species-identification | Task3_Scripts/Task3-JSON-CSV.py | Task3-JSON-CSV.py | py | 1,922 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "json.load",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 44,
"usage_type": "call"
}
] |
14405988238 | from celery import task
from django.core.mail import send_mail
from .models import Order
@task
def order_created(order_id):
order = Order.objects.get(id = order_id)
subject = 'Order number {}'.format(order.id)
message = 'Dear, {0}, Thank you for your purchase.' \
'Your order number is: {1}'.... | korneichukIk/ecommerce | order/tasks.py | tasks.py | py | 437 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "models.Order.objects.get",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "models.Order.objects",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "models.Order",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.c... |
33773751515 | from django.urls import path, include
from stock import views
app_name = 'stock'
urlpatterns = [
path('', views.ShowStockList.as_view(), name="stock_list"),
path('add-stock/', views.StockAddForm.as_view(), name="stock_add"),
path('view-stock/<slug:product_id>', views.StockViewForm.as_view(), name="stock_v... | wwwzaptaycom/zaptay | stock/admin_urls.py | admin_urls.py | py | 483 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "stock.views.ShowStockList.as_view",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "stock.views.ShowStockList",
"line_number": 7,
"usage_type": "attribute"
},
{
"ap... |
30182765612 | import os
import logging
import jax
from mpi4py import MPI
from .api import easydist_shard, get_opt_strategy, set_device_mesh
from .sharding_interpreter import EDJaxShardingAnn
from .bridge import jax2md_bridge
__all__ = [
"easydist_shard", "get_opt_strategy", "set_device_mesh", "EDJaxShardingAnn", "jax2md_bridg... | alibaba/easydist | easydist/jax/__init__.py | __init__.py | py | 1,158 | python | en | code | 51 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "jax._src",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "jax.config.update",
... |
70741508158 | from os.path import join
import pickle
import copy
import numpy as np
import torch
class BaseRLAlgo:
def __init__(
self,
actor,
actor_optim,
critic,
critic_optim,
action_range,
n_step=4,
gamma=0.99,
device="cpu"
):
self.actor = ... | Daffan/ros_jackal | rl_algos/base_rl_algo.py | base_rl_algo.py | py | 6,112 | python | en | code | 19 | github-code | 97 | [
{
"api_name": "torch.tensor",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "torch.tensor",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "pickle.dump",
"line_number... |
7745801142 | import io
from os.path import abspath, join, dirname
from bddrest.authoring import when, status, response, Update
from sqlalchemy_media import StoreManager
from jaguar.models import Member, Message, Room
from jaguar.tests.helpers import AutoDocumentationBDDTest, cas_mockup_server
THIS_DIR = abspath(join(dirname(__f... | mkhfring/pychat | jaguar/tests/test_message_get.py | test_message_get.py | py | 2,963 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "os.path.abspath",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line... |
18446101972 | from flask import Flask, render_template, flash, request, redirect, url_for
from flask_wtf.file import FileField, FileRequired
from werkzeug.utils import secure_filename
from werkzeug.datastructures import CombinedMultiDict
from wtforms import Form, TextField, SelectField, TextAreaField, validators, StringField,\
... | darkette/Tactools | app_genscript.py | app_genscript.py | py | 8,183 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask.Flask",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "local_defs.mydefs.UPLOAD_FOLDER",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "local_defs.mydefs",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "wt... |
30845059797 | #!/usr/bin/env python
from bucoffea.helpers.dataset import extract_year
from bucoffea.processor.executor import run_uproot_job_nanoaod
from bucoffea.helpers.cutflow import print_cutflow
from coffea.util import save
import coffea.processor as processor
import argparse
def parse_commandline():
parser = argparse.Ar... | bu-cms/bucoffea | bucoffea/scripts/run_quick.py | run_quick.py | py | 2,722 | python | en | code | 8 | github-code | 97 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "bucoffea.helpers.dataset.extract_year",
"line_number": 26,
"usage_type": "argument"
},
{
"api_name": "bucoffea.monojet.monojetProcessor",
"line_number": 34,
"usage_type": "c... |
40638093514 | # -*- coding: utf-8 -*-
from flask import request, jsonify
from . import api
from application import db
from application.models.menu import Menu
from application.models.mixin import SerializableModelMixin
from application.lib.rest.auth_helper import required_token, required_admin
# create - name, category
@api.route(... | mindoool/Rndining-db | application/api/menu.py | menu.py | py | 3,959 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask.request.get_json",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.request",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "flask.jsonify",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
... |
26360033554 | """
Draw fields
===========
"""
# %%
# The objective here is to manipulate a multivariate stochastic process :math:`X: \Omega \times \mathcal{D} \rightarrow \mathbb{R}^d`,
# where :math:`\mathcal{D} \in \mathbb{R}^n` is discretized on the mesh :math:`\mathcal{M}`
# and exhibit some of the services exposed by the *Proce... | openturns/openturns | python/doc/examples/probabilistic_modeling/stochastic_processes/plot_process_manipulation.py | plot_process_manipulation.py | py | 5,161 | python | en | code | 198 | github-code | 97 | [
{
"api_name": "openturns.Log.Show",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "openturns.Log",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "openturns.RegularGrid",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "openturns... |
2573383101 | #!/usr/bin/env python3
from argparse import ArgumentParser
import pandas as pd
import risk_stratification
import extract_features
def annotate_with_diagnoses_used(risk_df, diags_df, cutoff, codes):
# dates within their test date
pruned_diags_df = diags_df[diags_df.date >= cutoff]
pruned_diags_df["UID"]... | josepablocam/pdac-diag-model | analyze_high_risk_labels.py | analyze_high_risk_labels.py | py | 4,997 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pandas.merge",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pandas.merge",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "risk_stratification... |
24599915442 | from PyQt4 import QtGui
import pyqtgraph as pg
import numpy
from math import isinf
import os.path
import csv
class FiberPlot(QtGui.QFrame):
"""
"""
def __init__(self, parent=None):
super().__init__(parent)
self.dataFile = ""
self.fiberData = None
toolbar = self.initTool... | cbrunet/fibermodes | fibermodesgui/fibereditor/fiberplot.py | fiberplot.py | py | 7,249 | python | en | code | 15 | github-code | 97 | [
{
"api_name": "PyQt4.QtGui.QFrame",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "PyQt4.QtGui",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "pyqtgraph.PlotWidget",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "PyQt4.QtGui.QV... |
25274454502 | from os import replace
from gspread.client import Client
import jsonpickle
from karim import LOCALHOST
from gspread.models import Spreadsheet, Worksheet
from oauth2client.service_account import ServiceAccountCredentials
import gspread
import os, re
import json
from datetime import datetime
from karim.secrets import sec... | VIKASIND2/karim | karim/modules/sheet.py | sheet.py | py | 10,039 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "karim.secrets.secrets.get_var",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "karim.secrets.secrets",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "os.environ.get",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os... |
11706454921 | from __future__ import print_function
from functools import wraps as ft_wraps
import sys, llapi, os
from llapi import *
from header import *
class PropertyNotFound(Exception):
def __init__(self, obj, intf, prop):
self.obj = obj
self.intf = intf
self.prop = prop
class MethodNotFound(Exception):
def __init__(s... | anyc/pysdbus | pysdbus/pysdbus.py | pysdbus.py | py | 42,860 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sys.modules",
"line_number": 142,
"usage_type": "attribute"
},
{
"api_name": "sys.version_info",
"line_number": 163,
"usage_type": "attribute"
},
{
"api_name": "sys.version_info",
"line_number": 240,
"usage_type": "attribute"
},
{
"api_name": "sys.v... |
38779984084 | """Functions for the crawl.py module"""
import io
import os
from os import path
from copy import deepcopy
import numpy as np
import pandas as pd
import yaml
from mechanize import Browser, Link
from .crawl_classes import LearnPage
from ..config.constants import DATA_PATH
from .crawl_help_fcts import *
from ..organize... | Lukas2357/ProSRL | pysrl/crawler/crawl_fcts.py | crawl_fcts.py | py | 15,913 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "mechanize.Browser",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "mechanize.Browser",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "mechanize.Link",
"line_number": 53,
"usage_type": "name"
},
{
"api_name": "mechanize.Link",
... |
12665977876 | import pygame
from pygame.locals import *
import time
import random
class Bullet(object):
def __init__(self,screen,x,y):
self.x = x+40
self.y =y-20
self.screen = screen
self.bullet=pygame.image.load("./feiji/bullet-3.gif").convert()
def display(self):
self.screen.blit(sel... | aikermerry/py- | 飞机大战/fly.py | fly.py | py | 4,061 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pygame.image.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pygame.image.load",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pygame.image",
... |
244529015 | import numpy as np
import matplotlib.pyplot as plt
#%%
#-------------------------------Analisis de intervalo entre chunks----------------------------
#ojo puede que sea ; no tab
interchunk1000 = np.loadtxt('barrido_frec_rampa0.01.txt', delimiter = '\t', unpack = True)
#plt.plot(interchunk1000)
interchunk48000 = np.lo... | MatiasZanini/Grupo-Burne-Zanini-V2 | analisis_daq.py | analisis_daq.py | py | 3,934 | python | es | code | 0 | github-code | 97 | [
{
"api_name": "numpy.loadtxt",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
... |
74989792640 | from datetime import datetime
from project.infrastructure.drivers.redis.adapter import RedisAdapter
from project.infrastructure.drivers.rabbitmq.adapter import RabbitMqAdapter
from project.infrastructure.drivers.elasticsearch.adapter import ElkAdapter
from project.domain.lifecheck.repositories.model_status import Life... | farlleyferreira/ms-fastapi-template | api/project/domain/lifecheck/business_rules/status.py | status.py | py | 2,525 | python | en | code | 33 | github-code | 97 | [
{
"api_name": "project.domain.lifecheck.validations.status.ValidateHelth",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "project.domain.lifecheck.repositories.model_status.Details",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "project.domain.lifecheck.rep... |
35930222341 | from locust import User,task,constant
import logging
class MyFirstTest(User):
wait_time = constant(1)
@task
def launch(self):
print("Launching the URL")
logging.info("This is logging info")
@task
def search(self):
print("Searching")
logging.error("If there error, t... | acharjeeauntor/Locust_Load_Test_Practice | logging.py | logging.py | py | 502 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "locust.User",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "locust.constant",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "locust.task",
"line_number... |
15334966290 | import numpy as np
import sklearn.neural_network as sklearn_nn
from src.models.regression_models import BasicModelBase
class MultilayerPerceptron(BasicModelBase):
def __init__(self, response_var, covariates, log_covariates, log_correction, log_correction_const,
regularization_weight=None, norma... | UCIDataLab/fire_prediction | src/models/mlp.py | mlp.py | py | 1,244 | python | en | code | 7 | github-code | 97 | [
{
"api_name": "src.models.regression_models.BasicModelBase",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "sklearn.neural_network.MLPRegressor",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sklearn.neural_network",
"line_number": 22,
"usage_type": ... |
33928558324 | """more table
Revision ID: 51a87e85213e
Revises: 8d0b3efe3f27
Create Date: 2022-07-08 12:16:33.880338
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '51a87e85213e'
down_revision = '8d0b3efe3f27'
branch_labels = None
depends_on = None
def upgrade():
# ##... | walkeradkins/whatnext | migrations/versions/20220708_121633_more_table.py | 20220708_121633_more_table.py | py | 820 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "alembic.op.add_column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integer... |
7156069793 | from django.urls import path
from todolist.views import *
app_name = 'todolist'
urlpatterns = [
path('', show_todolist, name='show_todolist'),
path('json/', show_json_todo, name='show_json_todo'),
path('add/', create_task_ajax, name='create_task_ajax'),
path('login/', login_user, name='login'),
pa... | joselinprmt/repo-tugas-pbp | todolist/urls.py | urls.py | py | 473 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
9522344395 | import datetime
import functools
import os
import subprocess
import typing as t
def get_version(
version: t.Tuple[int, int, int, t.Literal["alpha", "beta", "rc", "final"], int]
):
"""Return a PEP 440-compliant version number from VERSION."""
# Now build the two parts of the version number:
# main = X... | Dog-Egg/django-oasis | src/django_oasis/utils/version.py | version.py | py | 1,977 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "typing.Tuple",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "typing.Literal",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "os.path",
"li... |
40051931838 | import torch
from torch import nn
from ..losses import loss_funcs
from ..tools import stack_mean
class TriModel(nn.Module):
def __init__(self, name, share_model, sub_models, loss_func='mee', check_stable=True, threshold_tri=1.0, threshold_self=1.0, alpha_tri=1.0, stable_K=9):
super().__init__()
sel... | XinNoil/PyTools | basictorch_v2/models/trinet.py | trinet.py | py | 3,286 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "torch.nn.Module",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "tools.stack_mean",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "tools.stack_mean",
"... |
36107229674 | #constants
from constants import WEEKDAYS, BASECONTAINER
#built-in imports
import json
import random
def intervalGenerator() -> list:
"""
An interval Generator. Returns an array of arrays with an structure of [[start, finish, pay]]
"""
flag = True
start = 0
intervals = []
while flag... | Tomas-Li/ioet-application | DataGenerator/paymentGenerator.py | paymentGenerator.py | py | 1,000 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "random.randint",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "constants.BASECONTAINER.copy",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "constants.... |
12245479814 | #!/usr/bin/env python3
# -*- coding: future_fstrings -*-
"""
Utility script
"""
import sys
import datetime
import re
from db_sync_tool.utility import mode, system, helper, output
database_dump_file_name = None
class DatabaseSystem:
MYSQL = 'MySQL'
MARIADB = 'MariaDB'
def run_database_command(client, comm... | jackd248/db-sync-tool | db_sync_tool/database/utility.py | utility.py | py | 7,783 | python | en | code | 15 | github-code | 97 | [
{
"api_name": "db_sync_tool.utility.system.config",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "db_sync_tool.utility.system",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "db_sync_tool.utility.mode.run_command",
"line_number": 31,
"usage_typ... |
41010303488 | # -*- coding: utf-8 -*-
import os
import time
import cv2
import numpy as np
from scipy.signal import fftconvolve
from multiprocessing import Pool, cpu_count
import math
from math import pi
sum_imageset = 6
path = "/home/sheldon/camvideo_6/"
def normxcorr2(imagePath1, imagePath2, channel, mode="same"):
if channe... | SheldonLeeLXY/TopologicalMap | similarity.py | similarity.py | py | 4,859 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "cv2.imread",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 23,
... |
30029075226 | from dash.dependencies import Input, Output
def add_clientside_callbacks_crossfiltering(app):
# Age graph -> age selector slider
# This is a callback from selecting an age range on the age graph, to the age control.
app.clientside_callback(
"""function(count_graph_selected) {
/... | mannca/www_hl_dashboard | app/util/crossfiltering_callbacks.py | crossfiltering_callbacks.py | py | 2,879 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "dash.dependencies.Output",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "dash.dependencies.Input",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "dash.dependencies.Output",
"line_number": 49,
"usage_type": "call"
},
{
"api_nam... |
74979196477 | import numpy as np
import random
from collections import namedtuple
import time
import importlib
from moves import *
from display import *
State = namedtuple('State', ['batman', 'alfred', 'field', 'socks'])
size = 8
# could also make this periodic
field = np.ones([size, size], dtype='bool')
initial_batman = (0, 0)... | ananduri/alfred | simulation.py | simulation.py | py | 1,993 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "collections.namedtuple",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"lin... |
32712334090 | import copy
import math
import random
from typing import *
import torch
from torch import Tensor
from torch import nn
from torch.nn import functional as F
from transformers import modeling_bart as bart
from transformers.modeling_utils import BeamHypotheses, calc_banned_ngram_tokens, calc_banned_bad_words_ids, \
to... | SapienzaNLP/spring | spring_amr/modeling_bart.py | modeling_bart.py | py | 60,795 | python | en | code | 115 | github-code | 97 | [
{
"api_name": "torch.arange",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.nn.Module",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "transformers.modeling_bart... |
19888533812 | import torch.nn as nn
import torch.nn.functional as F
from cnns.nnlib.pytorch_layers.conv_picker import Conv
def get_conv(args, in_channels, out_channels, kernel_size, stride=1,
padding=0, bias=True):
return Conv(kernel_sizes=[kernel_size], in_channels=in_channels,
out_channels=[out_c... | adam-dziedzic/bandlimited-cnns | cnns/nnlib/pytorch_architecture/net_synthetic.py | net_synthetic.py | py | 1,349 | python | en | code | 17 | github-code | 97 | [
{
"api_name": "cnns.nnlib.pytorch_layers.conv_picker.Conv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.nn.Module",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 13,
"usage_type": "name"
},
{
"api_name"... |
7897573592 | """Main script
"""
from application.process import Process
from application.app import App
from utils.data_reader import get_properties
properties = get_properties()
DEBUG = properties.get("DEBUG").data
def main():
if DEBUG == "FALSE":
proc = Process()
proc.start()
else:
app = App()
... | strzecha/Educational-Process | main.py | main.py | py | 378 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "utils.data_reader.get_properties",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "application.process.Process",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "application.app.App",
"line_number": 17,
"usage_type": "call"
}
] |
31477750481 | import os
from io import open
from setuptools import setup
with open(os.path.join(os.path.dirname(__file__), 'README.rst'), encoding='utf-8') as readme:
README = readme.read()
# allow setup.py to be run from any path
os.chdir(os.path.normpath(os.path.join(os.path.abspath(__file__), os.pardir)))
setup(
name =... | ChanMo/django-wechat-pay | setup.py | setup.py | py | 1,334 | python | en | code | 32 | github-code | 97 | [
{
"api_name": "io.open",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 5... |
72282229759 | """
Authors: Asker Brejnrod & Arjun Sampath
This file contains useful methods for plotting binned ms2 spectra data
Notable libraries used are:
- numpy: https://numpy.org/doc/stable/
- pandas: https://pandas.pydata.org
- seaborn: https://seaborn.pydata.org
- matplotlib: https://matplotlib.org
- nim... | askerdb/ms2binner | ms2binner/visualization.py | visualization.py | py | 6,770 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "numpy.exp",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.close",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"... |
6843806435 | from django.shortcuts import render, redirect
from django.http import HttpResponse
from django.forms import inlineformset_factory
from .models import *
from .form import OrderForm
from django.contrib.auth.forms import UserCreationForm
from django.contrib import messages
# Create your views here.
def home(request):
... | funsojoba/CRM_django | crm_app/views.py | views.py | py | 2,886 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.shortcuts.render",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 46,
"usage_type": "call"
},
{
"api_name"... |
35496809547 | """IngrafenApp URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.1/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-b... | jjacaitu/IngrafenApp-2.0 | IngrafenApp/IngrafenApp/urls.py | urls.py | py | 3,698 | python | es | code | 1 | github-code | 97 | [
{
"api_name": "django.urls.path",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "... |
34771222397 | import sys
import pandas as pd
import numpy as np
from scipy.stats import chi2_contingency
from scipy.stats import mannwhitneyu
OUTPUT_TEMPLATE = (
'"Did more/less users use the search feature?" p-value: {more_users_p:.3g}\n'
'"Did users search more/less?" p-value: {more_searches_p:.3g} \n'
... | Ericzhouhy/CMPT353-Computational-Data-Science | e6/ab_analysis.py | ab_analysis.py | py | 2,724 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sys.argv",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_json",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "scipy.stats.chi2_contingen... |
9753816237 | import numpy as np
from numpy import linalg
from matplotlib import pyplot as plt
import Rosenbrock
def EnsembleSampler(X0, N, L, alpha):
# Functions to evaluate the density, grad log density, and Hessian of the
# minus log density.
log_pi = Rosenbrock.log_pi
MCMC_chain = np.zeros((N+1, L, len(X0[0,:])... | terrencealsup/MonteCarloMethods | HW5/code/EnsembleSampler.py | EnsembleSampler.py | py | 2,025 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "Rosenbrock.log_pi",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.mod",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.random.randint",
... |
73140437119 | import numpy as np
import matplotlib.pyplot as plt
from numpy.ma import log
a = .6
s = np.random.logseries(a, 10000)
count, bins, ignored = plt.hist(s)
def logseries(k, p):
return -p ** k / (k * log(1 - p))
plt.plot(bins, logseries(bins, a) * count.max() /
logseries(bins, a).max(), 'r')
plt.show() | yzozulya/numpy_test_examples | scipy_doc/routines.random.html/numpy.random.logseries.py | numpy.random.logseries.py | py | 316 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "numpy.random.logseries",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.hist",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotl... |
71436648638 | import torch
import torch.nn as nn
import math
class LSTM(nn.Module):
def __init__(
self,
input_size,
hidden_size,
):
super().__init__()
self.input_size = input_size
self.hidden_size = hidden_size
# forget layer
self.W_f = nn.Parameter(torch.Ten... | lorenzinigiovanni/nlu-project | LSTM.py | LSTM.py | py | 2,576 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "torch.nn.Module",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "torch.nn.Parameter",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_n... |
71579925440 | import itertools
n = int(input())
nails = []
for i in range(n):
x, y = map(int, input().split())
nails.append((x, y))
max_area = 0
for corners in itertools.combinations(nails, 4):
x_values = [c[0] for c in corners]
y_values = [c[1] for c in corners]
if len(set(x_values)) == 2 and len(set(y_valu... | Barebore/Learning_Programming | trainee/2 answer copy.py | 2 answer copy.py | py | 549 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "itertools.combinations",
"line_number": 13,
"usage_type": "call"
}
] |
29237362418 | from numpy.core.numeric import ones
import pandas as pd
import sys
import numpy as np
import matplotlib.pyplot as plt
import math
filename = sys.argv[1]
sigma = float(sys.argv[2])
D = pd.read_csv(filename)
D.pop('date')
D.pop('rv2')
#print(D)
np.set_printoptions(precision=3, suppress=False, threshold=5)
# Convert ... | LovingChester/DataMining | homework/hw3/Assign3.py | Assign3.py | py | 2,812 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sys.argv",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.set_printoptions",
... |
6405054067 | #!/usr/bin/python3
from bs4 import BeautifulSoup
import requests
from time import sleep
from datetime import date,datetime
import lxml
import re
def user_ans(in_name, default, example):
print(f"\nE.g.: {example}")
in_name = in_name.replace('_',' ').title()
ans = False
while ans is False:
user_i... | Naderart/kino2csv | user_input.py | user_input.py | py | 5,886 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "re.sub",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 35,
"usage_type"... |
43184767675 | import tkinter
from lib.tracks import Track
from lib.car import Car
from brains import ParameterEvolutionBrain
from random import uniform
from random import randint
import random
from agents import ParameterEvolutionAgent
from keras.models import Sequential
from keras.layers.core import Dense, Dropout, Activation
from ... | wdjpng/CarAI | car_controller.py | car_controller.py | py | 7,140 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "keras.models.Sequential",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "tkinter.Canvas",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "lib.tracks.Track.level",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "lib.tra... |
4149090912 | import os
import torch
from torch.utils.ffi import create_extension
this_file = os.path.dirname(__file__)
sources = ['src/my_lib.c']
headers = ['src/my_lib.h']
defines = []
with_cuda = False
if torch.cuda.is_available():
print('Including CUDA code.')
sources += ['src/my_lib_cuda.c']
headers += ['src/my_l... | wutianyiRosun/PyTorch_Tools | extension-ffi/build.py | build.py | py | 1,010 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "os.path.dirname",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"... |
22093489066 | #! /usr/bin/python
import numpy as np
import scipy.io.wavfile as wav
import pylab
import sys
import scikits.audiolab
import os
sys.path.append('/scratch2/nxs113020/pyknograms/code/tools/pykno')
from pyknogram_extraction import *
def mix_files(f1,f2):
base1 = f1.split('/')[-1].split('.wav')[0]
base2 = f2.s... | idnavid/hmm_overlap_detection | mix_channels.py | mix_channels.py | py | 2,356 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sys.path.append",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "scipy.io.wavfile.read",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "scipy.io.wavfile"... |
74848086397 | from BCI_Interface import BCI
from Shell_Interface import Shell
from FTP_Interface import FTP
from N5180_Interface import N5180
from conman import Conman
from time import sleep
import datetime
from math import log
import csv
import re
import os
import argparse
import sys
VERSION = 4
## Argument parsing
parser = argpa... | Anapollonsky/utest | freq_sweep/new/rx_lo_sweep.py | rx_lo_sweep.py | py | 3,891 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "conman.Conman",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "conman.storage",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "datetime.da... |
200012163 | import dataclasses
import logging
from lib.targetop import TargetOp
from lib import util
logger = logging.getLogger(__name__)
@dataclasses.dataclass
class Device:
name: str
flash_size: int
page_size: int
eeprom_size: int
DEVICE_SIGNATURES = {
(0x1e, 0x91, 0x0a): Device("attiny2313", 2**11, 32,... | ntki/nops | lib/target/avr_spi.py | avr_spi.py | py | 4,518 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "lib.util.cmd",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "lib.util",
... |
30171704328 | from django.urls import path, include
from website.views import index, cadastro_candidato, cadastro_empresa, login, cadastro_cv, pagina_candidato, pagina_empresa, informacao_candidato
app_name = 'curriculos'
urlpatterns = [
path('', index),
path('login', login),
path('cadastro_empresa', cadastro_empresa)... | arenas-franklin/integra | website/urls.py | urls.py | py | 577 | python | pt | code | 0 | github-code | 97 | [
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "website.views.index",
"line_number": 8,
"usage_type": "argument"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "website.views.... |
18615633879 | # -*- coding: utf-8 -*-
import torch
import random
import os
import json
import argparse
import pandas as pd
import numpy as np
from sub_edge_embedding import DrugDataset
from sub_edge_embedding import DrugDataLoader
from models import RealFakeDDICo
from engine4rf import Engine4RealFakeDDI
def config():
parser = ... | anywayas/CBA-ZI | main_real_fake.py | main_real_fake.py | py | 6,133 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "random.seed",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "numpy.random",
... |
20407951209 | import numpy as np
import cv2
cap = cv2.VideoCapture(0)
fgbg = cv2.createBackgroundSubtractorMOG2()
title_window = "Substraction"
slider_max = 255
learning_rate = 0.5
cv2.namedWindow(title_window, cv2.WINDOW_NORMAL)
ret, frame = cap.read()
rows,cols,channels = frame.shape
def on_trackbar(val):
global learning_rat... | tomsfernandez/computervision | background_sub/3_rt_view_background.py | 3_rt_view_background.py | py | 911 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.createBackgroundSubtractorMOG2",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.namedWindow",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.... |
35169947647 | import torch
import torch.nn as nn
from typing import Optional, Tuple
from foldacc.model.modules.ops import Linear, LayerNorm
from foldacc.model.modules.utils import one_hot, chunk_layer
class InputEmbedder(nn.Module):
def __init__(
self,
tf_dim: int,
msa_dim: int,
d_pair: int,
... | alibaba/BladeDISC | examples/PyTorch/Inference/CUDA/AlphaFold/FoldAcc/foldacc/model/modules/embedder.py | embedder.py | py | 7,019 | python | en | code | 707 | github-code | 97 | [
{
"api_name": "torch.nn.Module",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "torch.float",
"line_n... |
5541884141 | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Mon May 21 17:53:10 2018
@author: niharika-shimona
"""
from IPython import get_ipython
get_ipython().magic('reset -sf')
import sys,os
import numpy as np
import pickle
import matplotlib
# matplotlib.use('Agg')
from matplotlib import pyplot as plt
# plt.ioff(... | Niharika-SD/Graph-Analysis | test_PCA.py | test_PCA.py | py | 4,146 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "IPython.get_ipython",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "Data_Extraction.Split_class",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "Data_Extraction.create_dataset",
"line_number": 31,
"usage_type": "call"
},
{
"api... |
41847009105 | import numpy as np
import matplotlib.pyplot as plot
T = 5730
m = float(input("Provide m: "))
k = -0.000121
t = np.linspace(0, 50000, 100)
# e^kt = r ^ (t/T)
# kt = t/T ln r
# k = 1/T ln r
# n(t) = n(0) e^kt = n(0) e^(t * ln r)/T
# where r = 1/2
# y = m * np.exp(t/T * np.log(0.5))
y = m * np.exp(k*t)
_, ax = plot.sub... | Zmroqk/Wizualizacja-i-symulacja-proces-w | Lab-2/task-4.py | task-4.py | py | 430 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "numpy.linspace",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot"... |
74981856318 | import pandas as pd
import numpy as np
from utils import paths, read, save
from utils.consts import features, datasets, n_candidates, undersampling_percentages
def check_features(feats, cands):
"""Checks if the candidates dataframe is the same as the features
dataframe after merging (e.g., if there are no re... | asgaardlab/done-21-arthur-duplicate_gamedev_questions-code | code/scripts/merge_features.py | merge_features.py | py | 3,073 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "utils.read",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "utils.paths.test_candidate_pairs",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "utils.paths",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "utils.save",
... |
35804246990 | from setuptools import setup, find_packages
module_name = "PMAC-Trajectory-Scans"
setup(
name=module_name,
version="0-1",
description='PMAC trajectory scan motion program with a python test script ',
url='https://github.com/dls_controls/PMAC-Trajectory-Scans',
author='Gary Yendell',
author_ema... | dls-controls/PMAC-Trajectory-Scans | setup.py | setup.py | py | 863 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "setuptools.setup",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 13,
"usage_type": "call"
}
] |
1756037279 | #!/usr/bin/python
# -*- coding: utf-8 -*-
# pylint: disable=c0209, r0902, r0912, r0913, r0915
""" certificate class """
from __future__ import print_function
import json
from acme_srv.helper import b64_url_recode, generate_random_string, cert_san_get, cert_extensions_get, hooks_load, uts_now, uts_to_date_utc, date_to_u... | grindsa/acme2certifier | acme_srv/certificate.py | certificate.py | py | 43,579 | python | en | code | 125 | github-code | 97 | [
{
"api_name": "acme_srv.db_handler.DBstore",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "acme_srv.helper.error_dic_get",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "acme_srv.message.Message",
"line_number": 27,
"usage_type": "call"
},
{
... |
40364652330 | from memory_profiler import memory_usage
from main import get_args
from sort import *
from tool.darknet2pytorch import Darknet
from tool.torch_utils import *
from tool.utils import *
"""hyper parameters"""
use_cuda = True
def mem_test(cfgfile, weightfile, filename, w, h, inpath='data/input/'):
# create instance... | Tpoc311/pedestrian_tracker | memory_testing.py | memory_testing.py | py | 1,660 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "tool.darknet2pytorch.Darknet",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "main.get_args",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
37195122212 | # -*- coding: utf-8 -*-
"""
Created on Mon Oct 28 22:12:32 2019
Save images to file.
Use it if want to save the image in different format such as PNG, GIF, PEG
In this script, load image in JPEG format and save in PNG format
in same dictionary
@author: dina
"""
from PIL import Image
#load the image
image = Image.o... | dinakrausz/Examples | UsePillow/SaveImageToFile.py | SaveImageToFile.py | py | 531 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "PIL.Image.open",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number"... |
11803284197 | from django.urls import path
from . import views
urlpatterns = [
path('', views.writers_home_page, name = "writers_home_page"),
path('blogpostdetails/<str:post_id>', views.blog_post_details, name = "blog_post_details"),
path('blogpostdetails/<str:post_id>/delete', views.delete_blog_post, name = "delete_blo... | ClaudiusMango/blog | writers/urls.py | urls.py | py | 723 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
30138880947 | """empty message
Revision ID: 5693a93281a4
Revises: None
Create Date: 2015-10-06 18:10:18.227471
"""
# revision identifiers, used by Alembic.
revision = '5693a93281a4'
down_revision = None
from alembic import op
import sqlalchemy as sa
def upgrade():
### commands auto generated by Alembic - please adjust! ###... | stoddardg/virality_prediction_game | migrations/versions/5693a93281a4_.py | 5693a93281a4_.py | py | 718 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "alembic.op.add_column",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integer... |
72474659519 | import sys
import matplotlib.pyplot as plt
from polynomial import *
N = 10 #number of points
d = 50 #degree of the polynomial
c_sample, x_sample, y_sample = getRandomPoints(N,d, seed=N*d)
x_lin = np.linspace(min(x_sample), max(x_sample), 100)
y_lin = getPolynomial(x_lin, c_sample, d)
plt.title("SVD fits for polynomi... | ettenhup/fun_projects | double_descent/svd_explore.py | svd_explore.py | py | 680 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "matplotlib.pyplot.title",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.scatter",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "m... |
13934893965 | from collections import defaultdict
def update_post(post, group_by_id=False):
# update the fields needed for the vis.js graph
post["value"] = post.get("score") or 1
post["title"] = post.get("title") or post.get("id")
post["shape"] = "triangle" if post.get("type") == "comment" else "dot"
post["post... | itielshwartz/Hackernews-visualization | app/utils/vis.py | vis.py | py | 1,759 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "collections.defaultdict",
"line_number": 33,
"usage_type": "call"
}
] |
25046697576 | from flask import Flask
from flask_restful import Api, Resource, reqparse
def run_server(port):
app = Flask(__name__)
api = Api(app)
api.add_resource(Wish, "/message/wish")
api.add_resource(Emoji, "/message/emoji")
api.add_resource(Fireworks, "/message/fireworks")
app.run(debug=True, host="0.0... | perkam/bot-sylwek | bot_sylwester/server.py | server.py | py | 1,147 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask_restful.Api",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask_restful.Resource",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "flask_restful.reqp... |
34808107624 | #!/usr/bin/env python
# coding=utf-8
from __future__ import division
import MySQLdb
import conf
#
#-------------------------
# Database connection
#-------------------------
#
def connect_db():
con = MySQLdb.connect(
host = conf.DB_HOST,
user = conf.DB_USER,
passwd = conf.DB_PASSWD,
... | MIchicho/Repackaged-APPs-detection | ResDroid/diff.py | diff.py | py | 2,761 | python | en | code | 20 | github-code | 97 | [
{
"api_name": "MySQLdb.connect",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "conf.DB_HOST",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "conf.DB_USER",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "conf.DB_PASSWD",
... |
28691806292 | from selenium import webdriver
import os
from os import listdir
from os.path import isfile, join
from tqdm import tqdm
import json
import sys
# 輸入PDF保存的路徑
mypath = os.getcwd()
if not os.path.isdir(mypath+'/pdf'):
os.mkdir(mypath+"/pdf")
files = [join(mypath+'/html', f) for f in listdir(mypath+'/html') if isfile(j... | moooooser999/notion_pdf_converter | script/to_pdf.py | to_pdf.py | py | 1,188 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.getcwd",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
"line_number": 13... |
71766733438 | # Standard Python Imports
import os
import sys
import traceback
import logging
# Log a message each time this module get loaded.
logging.info('Loading %s, app version = %s', __name__, os.getenv('CURRENT_VERSION_ID'))
def bootstrap_django():
# Declare the Django version we need.
from google.appengine.dist impo... | briandorsey/WhereBeUs | www/bootstrap.py | bootstrap.py | py | 2,639 | python | en | code | 4 | github-code | 97 | [
{
"api_name": "logging.info",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "google.appengine.dist.use_library",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.info",... |
10267054710 | import math
from urllib.parse import urlencode
from django.core.paginator import Paginator
from django.template.loader import render_to_string
from library.models import Book
def set_pagination(request, items, item_numer=20):
if not items:
return [], "These is no items"
params = request.GET
ite... | shreekrishnaacharya/library-Django | library/utils.py | utils.py | py | 1,885 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "math.ceil",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "django.core.paginator.Paginator",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "urllib.parse.urlencode",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "djan... |
36120469942 | import asyncio
from trafficlight.client_types import ElementWebStable
from trafficlight.homerunner import HomeServer
from trafficlight.internals.client import MatrixClient, NetworkProxyClient
from trafficlight.internals.test import Test
from trafficlight.server_types import SynapseDevelop
# Test Script:
# CLIENT_COUN... | matrix-org/trafficlight | trafficlight/tests/chat/test_verification_when_todevice_message_out_of_order_test.py | test_verification_when_todevice_message_out_of_order_test.py | py | 1,573 | python | en | code | 6 | github-code | 97 | [
{
"api_name": "trafficlight.internals.test.Test",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "trafficlight.client_types.ElementWebStable",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "trafficlight.client_types.ElementWebStable",
"line_number": 18,
... |
14466871007 | #
# RDpass - Updateentryscreen
#
# Standard import requirements
# Kivy app requirements
from kivymd.app import MDApp
from kivy.uix.screenmanager import Screen
from kivy.properties import StringProperty, NumericProperty, ListProperty
from kivy.metrics import dp
from kivymd.uix.dialog import MDDialog
from kivymd.uix.b... | jeffreyrdcs/RDPass-GUI | screens/updateentryscreen.py | updateentryscreen.py | py | 6,710 | python | en | code | 18 | github-code | 97 | [
{
"api_name": "kivy.uix.screenmanager.Screen",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "RDconfig.rdconfig.hn_medium",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "RDconfig.rdconfig",
"line_number": 24,
"usage_type": "name"
},
{
"... |
72152704959 | # -*- coding: utf-8 -*-
import json
import re
from decimal import Decimal
field_names = ['current_location', 'current_experience', 'current_date']
find_exp = r'exp\d*'
find_time = r'tm\d*.d*'
with open("rpg.json", "r") as read_file:
dungeon_data = json.load(read_file)
class Hero:
def __init__(self, mobs,... | fykvon/Study-projects | GameDndlite/Game_DnDlite.py | Game_DnDlite.py | py | 8,712 | python | ru | code | 0 | github-code | 97 | [
{
"api_name": "json.load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 88,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 89,
"usage_type": "call"
},
{
"api_name": "decimal.Decimal",
"line_number": 90... |
71343270399 | from cx_Freeze import setup, Executable
import os
os.environ['TCL_LIBRARY'] = r'C:\ProgramData\Miniconda3\tcl\tcl8.6'
os.environ['TK_LIBRARY'] = r'C:\ProgramData\Miniconda3\tcl\tk8.6'
base = None
executables = [Executable("file_open_dialog.py", base=base)]
packages = ["idna"]
options = {
'build_exe': {
... | pdubucq/gists | file_open_dialog_setup.py | file_open_dialog_setup.py | py | 582 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.environ",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "cx_Freeze.Executable",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cx_Freeze.setup",
... |
11731716750 | import contextlib
import datetime
import logging
import traceback
from persistent.list import PersistentList
LEVELS = {
logging.DEBUG: 'debug',
logging.INFO: 'info',
logging.WARNING: 'warning',
logging.ERROR: 'error',
logging.CRITICAL: 'critical',
}
class PersistentLog(PersistentList):
def... | karlproject/karl | karl/box/log.py | log.py | py | 1,822 | python | en | code | 48 | github-code | 97 | [
{
"api_name": "logging.DEBUG",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "logging.INFO",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "logging.WARNING",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "logging.ERR... |
37270528331 | import requests
import logging
import json
from SmsSender import SendMessageReceiver
from UrlCreator import get_url, headers
class SendSmsRequest(SendMessageReceiver):
uuid = ""
def __init__(self):
logging.debug(SendSmsRequest.__class__.__name__)
def send_message_request(self):
url = get... | Gopihegde/PythonForRest | SmsRequester.py | SmsRequester.py | py | 960 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "SmsSender.SendMessageReceiver",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "logging.debug",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "UrlCreator.get_url",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "request... |
22933282857 | from collections import deque
from typing import Optional
'''
116. Populating Next Right Pointers in Each Node | Medium
You are given a perfect binary tree where all leaves are on the same level, and every parent
has two children. The binary tree has the following definition:
struct Node {
int val;
Node *left;
... | Varun-Date98/LeetCode150 | Next_Right_Pointer.py | Next_Right_Pointer.py | py | 1,522 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "typing.Optional",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
... |
28986030380 | from matplotlib import pyplot as plt
from colorseq import DistinctColors
dc_h = DistinctColors(20, (0.0, 1.0), 1.0, 1.0)
dc_s = DistinctColors(20, 0.4, (0.1, 1.0), 1.0)
dc_v = DistinctColors(20, 0.4, 1.0, (0.1, 1.0))
dc_comb = DistinctColors(
20, (0.0, 1.0), (0.1, 1.0), (0.7, 1.0),
h_shuffle=True, s_sh... | j-i-l/ColorSequence | examples/simple_scatter.py | simple_scatter.py | py | 1,043 | python | en | code | 4 | github-code | 97 | [
{
"api_name": "colorseq.DistinctColors",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "colorseq.DistinctColors",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "colorseq.DistinctColors",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "... |
5698964000 | import argparse
import logging
import numpy
import mesh_annotate.Config
import mesh_annotate.Mesh
import mesh_annotate.Expression
# parse command line options
l_parser = argparse.ArgumentParser( description='Mesh annotations in EDGE.' )
l_parser.add_argument( '-x', '--xml',
dest = 'xml',
... | hewhocannotbetamed/edge | tools/processing/mesh_annotate/mesh_annotate.py | mesh_annotate.py | py | 2,914 | python | en | code | null | github-code | 97 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "logging... |
74944057278 | import cv2
import math
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
import random
import time
from Simulator.Constants import HFOV, VFOV, IMG_WIDTH, IMG_HEIGHT, TARGET_POINTS
class CameraSim:
#constants for https://www.amazon.com/Microsoft-H5D-00013-LifeCam-Cinema/dp/B... | NathanMalta/TargetAcquisition | Simulator/CameraSim.py | CameraSim.py | py | 3,227 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "Simulator.Constants.HFOV",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "Simulator.Constants.VFOV",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "Simulator.Constants.IMG_WIDTH",
"line_number": 17,
"usage_type": "name"
},
{
"a... |
19207447250 | import datetime
import random
def load_pending_tasks():
try:
with open("data.txt", "r") as file:
tasks = file.readlines()
tasks = [task.strip() for task in tasks]
return tasks
except FileNotFoundError:
return []
def save_pending_tasks(tasks):
with... | swami-hai-ham/To-do-list-coach---David-goggins | Coach.py | Coach.py | py | 3,064 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "datetime.datetime.now",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "datetime.timedelta",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "datet... |
43587998669 | from nose.tools import *
from mock import MagicMock
import pandas as pd
from philharmonic import Schedule
from philharmonic.scheduler.bcf_scheduler import *
from philharmonic.simulator.environment import FBFSimpleSimulatedEnvironment
from philharmonic.simulator.simulator import FBFSimulator
from philharmonic.simulato... | philharmonic/philharmonic | philharmonic/scheduler/tests/test_bcf_scheduler.py | test_bcf_scheduler.py | py | 4,102 | python | en | code | 8 | github-code | 97 | [
{
"api_name": "philharmonic.Cloud",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "philharmonic.simulator.environment.FBFSimpleSimulatedEnvironment",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "mock.MagicMock",
"line_number": 18,
"usage_type": "ca... |
43148172863 | from lxml import etree, objectify
from StringIO import StringIO
from utils import fence_pair, Splitter_Symbols
class norm_splitter:
__fpair = fence_pair()
__dtd = ''
__xml_parser = etree.XMLParser()
__relation_symbols = set([])
def __init__(self, dtd, relation_fl):
self.__dtd = dtd
... | frozstone/dependency_graph | utilities/norm_splitter.py | norm_splitter.py | py | 2,821 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "utils.fence_pair",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "lxml.etree.XMLParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "lxml.etree.XMLParser",
... |
11958981365 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib as mpl
import genai_evaluation as ge
from genai_evaluation import multivariate_ecdf, ks_statistic
import nogan_synthesizer as ns
from nogan_synthesizer import NoGANSynth
from nogan_synthesizer.preprocessing import wrap_category_col... | badshahmukherjeeSAS/Synthetuc_Data | NoGAN_library_sudents.py | NoGAN_library_sudents.py | py | 7,619 | python | en | code | null | github-code | 97 | [
{
"api_name": "warnings.simplefilter",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.core.common.random_state",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.core",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name":... |
20793517062 | import netifaces as nif
def hello():
return {
'mac_addresses': __mac()
}
def __mac():
macs = {}
for iface in nif.interfaces():
macs[iface] = nif.ifaddresses(iface)[nif.AF_LINK][0]['addr']
return macs
| astral1/vagrant-salt-test | salt/roots/_grains/mac_address.py | mac_address.py | py | 251 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "netifaces.interfaces",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "netifaces.ifaddresses",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "netifaces.AF_LINK",
"line_number": 11,
"usage_type": "attribute"
}
] |
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