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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
44856064669 | import torch
import torch.nn as nn
def train():
model = nn.Linear(in_features=4, out_features=2)
criterion = nn.MSELoss()
optimizer = torch.optim.SGD(params=model.parameters(), lr=0.1)
for epoch in range(10):
# Converting inputs and labels to Variable
inputs = torch.Tensor([0.8,0.4,0.... | kaushikacharya/Introduction_to_Deep_Learning_and_Neural_Networks | code/train_linear_classifier.py | train_linear_classifier.py | py | 935 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "torch.nn.Linear",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "torch.nn.MSELoss",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": ... |
43656609764 | #!/usr/bin/env python
# coding: utf-8
# # －實作程式輔助判斷藥物造成SJS/TEN之可能性
# ## 本程式整合Naranjo score及ALDEN score，藉由輸入藥物資訊、病人資料及相關問題
# ## 經由分析後，即可比較各藥物間之懷疑程度，同時輸出藥物使用表格
# ### 讀取藥物資料(存於csv檔中)：
# * acetaminophen, 500 mg 1# QID, 2020/6/8-2020/6/10
# * prednisolone, 5 mg 2# QID, 2020/6/12-2020/6/24
# * prednisolone, 5 mg 1# QID, 20... | magicakimo/ALDEN-Naranjo-score-helper | SJS_TEN_helper.py | SJS_TEN_helper.py | py | 25,262 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 63,
"usage_type": "attribute"
},
{
"api_name": "datetime.timedelta",
"line_number": 228,
"usage_type": "call"
},
{
"api_name": ... |
70695099198 | import simpy
import random
import unittest
try:
from unittest import mock
except ImportError:
import mock
from cloudscope.dynamo import CharacterSequence
from cloudscope.replica import Location, Device
from cloudscope.simulation.workload import MobileWorkload
from tests.test_simulation import get_mock_simula... | bbengfort/cloudscope | tests/test_simulation/test_workload/test_mobile.py | test_mobile.py | py | 5,978 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "unittest.TestCase",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "cloudscope.simulation.workload.MobileWorkload.counter.reset",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "cloudscope.simulation.workload.MobileWorkload.counter",
"l... |
15079397539 | from typing import List
class Solution:
def sortedSquares(self, nums: List[int]) -> List[int]:
i = 0
j = len(nums) - 1
result = [0] * len(nums)
while i <= j:
if abs(nums[i]) > abs(nums[j]):
result[j - i] = nums[i] ** 2
i += 1
... | JunkieStyle/LeetCodeProblems | array/977_SquareOfASortedArray/main.py | main.py | py | 446 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
}
] |
7315554427 | from django.http import HttpResponseServerError
from rest_framework.viewsets import ViewSet
from rest_framework.response import Response
from rest_framework import serializers
from rest_framework import status
from ..models import DealershipEmployee
class DealershipEmployeeSerializer(serializers.HyperlinkedModelSerial... | nashville-hot-software/carnival-api | carnivalproject/carnivalapi/views/dealershipemployee.py | dealershipemployee.py | py | 3,196 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "rest_framework.serializers.HyperlinkedModelSerializer",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "models.DealershipEmployee",
"line_number": 11,
"usage... |
74887004477 | import cv2
image = cv2.imread("number.png")
gray = cv2.cvtColor(image,cv2.COLOR_BGR2GRAY)
_,thresh = cv2.threshold(gray,70,255,cv2.THRESH_BINARY_INV)
thresh1 = cv2.adaptiveThreshold(gray,255,1,1,11,2)
kernel = cv2.getStructuringElement(cv2.MORPH_CROSS,(3,3))
dilated = cv2.dilate(thresh,kernel,iterations = 1)
_,cont... | debdip/Thesis | check_font/sample2/text.py | text.py | py | 507 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "cv2.imread",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "cv2.threshold",
"lin... |
16337486330 | from __future__ import print_function
import sys
import math
import threading
import argparse
import time
from mpi4py import MPI
import torch
from torch.autograd import Variable
from torch import nn
import torch.nn.functional as F
from nn_ops import NN_Trainer, accuracy
from data_loader_ops.my_data_loader import Da... | hwang595/Draco | src/distributed_nn.py | distributed_nn.py | py | 7,656 | python | en | code | 23 | github-code | 97 | [
{
"api_name": "mpi4py.MPI.COMM_WORLD",
"line_number": 80,
"usage_type": "attribute"
},
{
"api_name": "mpi4py.MPI",
"line_number": 80,
"usage_type": "name"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 84,
"usage_type": "call"
},
{
"api_name": "coding.... |
30936293791 | from pathlib import Path
from keras.utils import data_utils
def maybe_download_vgg16_pretrained_weights(weights_file: Path):
if not weights_file.is_file():
print(f"Pretrained VGG16 weigths not found, downloading now to: {weights_file}")
weights_file.parent.mkdir(parents=True, exist_ok=True)
... | DIAGNijmegen/bodyct-luna22-ismi-training-baseline | utils.py | utils.py | py | 709 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "pathlib.Path",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "keras.utils.data_utils.get_file",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "keras.utils.data_utils",
"line_number": 9,
"usage_type": "name"
}
] |
13588225632 | from django.urls import path
from api_server.apps.custom_accounts import views
from api_server.apps.custom_accounts.apps import CustomAccountsConfig
app_name = CustomAccountsConfig.name
urlpatterns = [
path('set-csrf/', views.SetCsrf.as_view(), name='set-csrf'),
path('hello/', views.HelloView.as_view(), name... | reouno/simple-auth-app | api_server/api_server/apps/custom_accounts/urls.py | urls.py | py | 611 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "api_server.apps.custom_accounts.apps.CustomAccountsConfig.name",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "api_server.apps.custom_accounts.apps.CustomAccountsConfig",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.urls.path",
... |
4580284423 | import datetime
from movie import Movie
from projection import Projection
from reservation import Reservation
from sqlalchemy import func
import ast
class Cinema():
def __init__(self, session):
self.__session = session
def movie_details(self):
name = input("Enter the name of the movie: ")
... | emilenovv/HackBulgaria | week6/cinema_orm/cinema.py | cinema.py | py | 5,948 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "movie.Movie",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "movie.Movie",
"line_number": 27,
"usage_type": "argument"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "datetime.datet... |
38450120149 | #A ideia do programa é simular um programa de arduino que seja capaz de obter dados de sensores diversos e ligar/ desligar equipamentos de uma estufa de cultivo de plantas.
# Serão analisados temperatura do ar, umidade dos vasos e luminosidade do dia
# Ventiladores serão ligados ou desligados de acordo com a temperatu... | Garibodi/Scripts | Python/sensor_check.py | sensor_check.py | py | 4,093 | python | pt | code | 0 | github-code | 97 | [
{
"api_name": "datetime.datetime.now",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 13,
"usage_type": "name"
}
] |
43313282423 | import flask
import flask_uploads
def make_app() -> tuple[flask.Flask, flask.cli.FlaskGroup]:
app = flask.Flask(__name__)
app.config.from_object("config.AppConfig")
configure_db(app)
configure_uploads(app)
register_blueprints(app)
register_error_handlers(app)
configure_logging(app)
cli... | rmksrv/the_ultimate_flask_course_projects | store_app/app.py | app.py | py | 1,383 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.cli.FlaskGroup",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.cli",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "flask.Flask",
"lin... |
34083946222 | from PyQt5 import QtWidgets
from PyQt5.QtWidgets import QWidget
from enum import Enum
from src import config
from src.handlers import file_handler, command_handler
from src.widgets.ConsoleLineEdit import ConsoleLineEdit
class TraverseDirType(Enum):
UP = "up"
DOWN = "down"
class LoggingType(Enum):
INPUT ... | TyckSoftware/mark-one-desktop | src/widgets/ConsoleWidget.py | ConsoleWidget.py | py | 3,588 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "enum.Enum",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "enum.Enum",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "src.config.CONSOLE_LOGGING",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "src.config",
"... |
39204651781 | from typing import List
from uuid import UUID
from app.database import db
from app.models.transaction import Transaction, TransactionCreate, TransactionUpdate
class TransactionDAO:
"""DAO for Transaction model, this class implements the interface with firestore db"""
collection_name = 'transactions'
def... | tabris2015/customer-management-service | app/daos/transaction.py | transaction.py | py | 1,863 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "app.database.db.collection",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "app.database.db",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "app.models.transaction.TransactionCreate",
"line_number": 15,
"usage_type": "name"
},
{
... |
735636939 |
import sys
from collections import deque
#sys.stdin=open("input.txt",'rt')
MAX=100000
S,E=map(int,input().split())
ch=[0]*(MAX+1)
dis=[0]*(MAX+1)
ch[S]=1
dis[E]=0
cnt=0
dq=deque()
dq.append(S)
while dq:
now=dq.popleft()
if now==E:
break
for next in (now-1,now+1,no... | InbumS/CoTe | KWStudy/Chap7/송아지 찾기.py | 송아지 찾기.py | py | 515 | python | en | code | 4 | github-code | 97 | [
{
"api_name": "collections.deque",
"line_number": 13,
"usage_type": "call"
}
] |
16476101996 | from django.db.models import fields
from rest_framework import serializers
from app.models.Post import Post
from app.mserializers.UserSerialziers import ProfileGeneralSerializer
from app.mserializers.CommentSerializers import CommentSerializer
class PostSerializer(serializers.ModelSerializer):
author = serialize... | nguyenvandai61/polyglot-world-server | app/mserializers/PostSerializers.py | PostSerializers.py | py | 1,149 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "rest_framework.serializers.SerializerMethodField",
"line_number": 10... |
20613160632 | import json
import logging
import tempfile
import shapely.geometry as sgeo
import shapely.ops as ops
from pyproj.crs import CRS
from pywps import FORMATS, ComplexOutput, LiteralInput, Process
from raven.utilities.analysis import dem_prop
from raven.utilities.checks import boundary_check, single_file_check
from raven.... | Ouranosinc/raven | raven/processes/wps_generic_terrain_analysis.py | wps_generic_terrain_analysis.py | py | 5,883 | python | en | code | 38 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pywps.Process",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "pywps.LiteralInput",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "pywps.ComplexOutpu... |
36894240336 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('config', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='settings',
name='datat... | pkimber/aliuacademy_org | aliuacademy_org/python-packages/fle_utils/config/migrations/0002_auto_20150612_1320.py | 0002_auto_20150612_1320.py | py | 444 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.AlterField",
"line_number": 14,
"usage_type": "call"
},
{... |
71729160000 | import torch
import torchvision
import torch.nn as nn
from typing import Optional, Callable, Type, Union
from torchvision.models.resnet import Bottleneck, conv3x3, conv1x1
class BasicBlock(torchvision.models.resnet.BasicBlock):
expansion: int = 1
def __init__(
self,
inplanes: int,
plan... | s295103/aml_project | architectures/myresnet.py | myresnet.py | py | 7,600 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "torchvision.models",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "typing.Optional",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "torch.nn.Module",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "torch.nn"... |
35656485254 | # type: ignore
from calendar import Calendar
import re
from typing import List
from datetime import datetime, timedelta
from db import sqlalchemy_engine
from middlewares import db_session_middleware
from models.booking import Booking
from models.portfolio import Portfolio, PortfolioPydantic
from models.user import U... | mahmutalisahn/dream | dream_api_service/lop/v1/repositories/user_repository.py | user_repository.py | py | 10,154 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "services_repository.ServiceRepository",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "calendar_repository.CalendarRepository",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "middlewares.db_session_middleware",
"line_number": 29,
"usag... |
37220596463 | from Cryptodome.PublicKey import RSA
from Cryptodome.Signature import PKCS1_v1_5
from Cryptodome.Hash import SHA256
import binascii
from util.hash_util import hash_block, sha256
class Verification:
@staticmethod
def valid_proof_of_work(prev_hash, outstanding_transactions, proof_of_work):
... | kgebreki/blockchain | src/util/verification.py | verification.py | py | 2,098 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "util.hash_util.sha256",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "util.hash_util.hash_block",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "Cryptodome.PublicKey.RSA.importKey",
"line_number": 48,
"usage_type": "call"
},
{
... |
40915101692 | """.. Ignore pydocstyle D400.
========================
Resolwe Exceptions Utils
========================
Utils functions for working with exceptions.
"""
from django.core.exceptions import ValidationError
from rest_framework.response import Response
from rest_framework.views import exception_handler
def resolwe_e... | gregorjerse/resolwe | resolwe/flow/utils/exceptions.py | exceptions.py | py | 901 | python | en | code | null | github-code | 97 | [
{
"api_name": "rest_framework.views.exception_handler",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "django.core.exceptions.ValidationError",
"line_number": 30,
"usage_type": "argument"
},
{
"api_name": "rest_framework.response.Response",
"line_number": 32,
"... |
70926235838 | # -*- coding: utf-8 -*-
import torch.nn as nn
import torch.nn.functional as F
import torchvision.models as models
import numpy as np
import torch
# SEGNET
class SegNet(nn.Module):
def __init__(self,input_nbr,label_nbr):
super(SegNet, self).__init__()
batchNorm_momentum = 0.1
self.conv11 =... | Invadazoid/JU_GDCNN_Floorplan | models.py | models.py | py | 42,084 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "torch.nn.Module",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numb... |
3188949214 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Apr 26 15:34:16 2021
@author: Sid
"""
import itertools # python lib for permutations, combinations
# copied from previous Rosalind submission
## code to open file and store data
with open('/Users/Sid/Documents/2020-21/BCB 5250/Rosalind DataSets/rosa... | ranasid17/Bioinformatics | Rosalind/lexiconography.py | lexiconography.py | py | 1,190 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "itertools.product",
"line_number": 19,
"usage_type": "call"
}
] |
27301622282 | # -*- coding: utf-8 -*-
"""
Created on Wed Oct 21 12:47:51 2020
Does the infrastructure pathway plotting for Descoberto and Santa Maria.
@author: dgold
@edited: lbl59
"""
from mpl_toolkits.axes_grid1 import make_axes_locatable
import numpy as np
import pandas as pd
from sklearn.cluster import KMeans
from sklearn.met... | lbl59/federal_district | figure_generation/Fig4_e2l_plot_pathways_autocluster.py | Fig4_e2l_plot_pathways_autocluster.py | py | 12,714 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "numpy.zeros",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "sklearn.cluster.KMeans",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"l... |
20254970953 | from typing import Callable
import numpy as np
def eval_barycentric(x: float, x_int_pts: [], y_int_pts: [], N, weights: []):
# check if the exact points exists
if x in x_int_pts:
i = list(x_int_pts).index(x)
return y_int_pts[i]
top_sum = 0
bottom_sum = 0
for i, x_i in enumerate(x... | hydenp/appm_4600 | interpolation/barycentric.py | barycentric.py | py | 1,365 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "typing.Callable",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_... |
42205650714 | from datetime import datetime
data = datetime.now()
hora = data.hour
minutos = data.minute
if hora >= 19:
print("Es hora de irse a casa")
else:
print ("Quedan {} horas y {} minutos para irnos a casa".format(18- int(hora), 59-int(minutos)))
| joaovarga/python-modulos-ejercicio2 | modulos2.py | modulos2.py | py | 262 | python | es | code | 0 | github-code | 97 | [
{
"api_name": "datetime.datetime.now",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 2,
"usage_type": "name"
}
] |
15026681610 | from django.shortcuts import render
from django.views import View
from django.http import HttpResponse, HttpResponseRedirect
from django.contrib.auth import login, logout, authenticate
from django.contrib.auth.decorators import login_required
from django.urls import reverse
from BaseApp.models import UserProfile, Quest... | Advaiit/OnlinePoll | BaseApp/views.py | views.py | py | 8,029 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.views.View",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "django.shortcuts.render",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "BaseApp.content_util.getTopQuestions",
"line_number": 17,
"usage_type": "call"
},
{
"ap... |
74710571517 | import redis
import msgpack
import json
import pytest
from webob import Request
from dsq.store import QueueStore, ResultStore
from dsq.manager import Manager
from dsq.http import Application
from dsq.compat import bytestr
@pytest.fixture
def app(request):
cl = redis.StrictRedis()
cl.flushdb()
return Appl... | baverman/dsq | tests/test_http.py | test_http.py | py | 3,886 | python | en | code | 19 | github-code | 97 | [
{
"api_name": "redis.StrictRedis",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "dsq.http.Application",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "dsq.manager.Manager",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "dsq.store.... |
4399556770 | # Import the dependencies.
import numpy as np
import sqlalchemy
from sqlalchemy.ext.automap import automap_base
from sqlalchemy.orm import Session
from sqlalchemy import create_engine, func
from flask import Flask, jsonify
import datetime as dt
#################################################
# Database Setup
#######... | InsomniYak28/sqlalchemy-challenge | app.py | app.py | py | 3,516 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.ext.automap.automap_base",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.orm.Session",
"line_number": 21,
"usage_type": "call"
},
{
... |
30344700998 | from setuptools import setup, find_packages
import os
version = '0.8.dev0'
setup(name='adi.dropdownmenu',
version=version,
description="A dropdownmenu that is configurable for site administrators and mirrows your folderstructures.",
long_description=open("README.txt").read() + "\n" +
... | ida/adi.dropdownmenu | setup.py | setup.py | py | 1,266 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "setuptools.setup",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "setuptools.find_packages",
... |
26176416797 | """The code editor of GraphDonkey, with a few features:
- Syntax Highlighting
- Error Highlighting
- Line Numbers
Based on https://stackoverflow.com/questions/2443358/how-to-add-lines-numbers-to-qtextedit
- Selection/Line Events (Duplicate, Copy, Cut, Comment/Uncomment, Auto-Indent, Indent/Unindent...)
- Parenthes... | RandyParedis/GraphDonkey | main/editor/CodeEditor.py | CodeEditor.py | py | 40,936 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "main.plugins.PluginLoader.instance",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "main.plugins.PluginLoader",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "main.extra.IOHandler.IOHandler.get_preferences",
"line_number": 29,
"usage_t... |
9934054225 | import random
from enum import IntEnum
from random import randint
import numpy as np
from keras.models import load_model
import cv2
import time
class items(IntEnum):
Nothing =0
Paper =1
Rock =2
Scissors=3
class game:
def __init__(self):
self.model = load_model('keras_model.h5', ... | maxx110/rock_paper_scissors | camera_rps.py | camera_rps.py | py | 6,573 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "enum.IntEnum",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "keras.models.load_model",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.ndarray",
... |
19039486388 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Apr 25 14:23:03 2020
@author: Narahari B M
"""
import sys, os
sys.path.insert(0, "/home/fractaluser/Narahari/Personal/Consulting/hinglish_text_mining")
sys.path.insert(0, "/home/ec2-user/hinglish_text_mining")
from flask import Flask, request
from fla... | selfishhari/hinglish_text_mining | src/api/app.py | app.py | py | 1,322 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "sys.path.insert",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "sys.path.insert",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_nu... |
26336097934 | """Entrypoint for the USB-TCP bridge application."""
import logging
from . import systemd
from .cli import build_root_parser
import uvicorn # type: ignore[import]
LOG = logging.getLogger(__name__)
if __name__ == "__main__":
args = build_root_parser().parse_args()
systemd.configure_logging(level=args.log_lev... | Opentrons/opentrons | system-server/system_server/__main__.py | __main__.py | py | 589 | python | en | code | 363 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cli.build_root_parser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "uvicorn.run",
"line_number": 15,
"usage_type": "call"
}
] |
40930219444 | #app.py
from flask import Flask, flash, request, redirect, url_for, render_template
import urllib.request
import os
from werkzeug.utils import secure_filename
import collect_fea_style as cfs
import img_style_transform as ist
app = Flask(__name__)
UPLOAD_FOLDER_content = 'static/uploads/content'
UPLOAD_FOL... | asapacsin/image-style-transfer-web | image-style-transfer-web/main copy.py | main copy.py | py | 2,944 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "flask.request.files",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "flask.reque... |
74314782400 | """
Helpers for sending emails.
"""
import functools
import os
import sendgrid
from sendgrid.helpers import mail
_SENDGRID_API_ENV = 'SENDGRID_API_KEY'
@functools.lru_cache()
def _sg() -> sendgrid.SendGridAPIClient:
"""Returns a cached SendGridAPIClient."""
return sendgrid.SendGridAPIClient(api_key=os.envir... | Huntrr/spb | lib/email_utils.py | email_utils.py | py | 788 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sendgrid.SendGridAPIClient",
"line_number": 16,
"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": "functools.l... |
33307348608 | import sys, itertools, collections
from utils import read_file, timer
def step(board):
N, M = len(board), len(board[0])
result = [[None]*M for i in range(N)]
for i in range(N):
for j in range(M):
counts = collections.Counter()
for dx in range(-1, 2):
for dy... | FilippoSimonazzi/Python_Projects | AdventOfCode_2018/2018_18_good_performances.py | 2018_18_good_performances.py | py | 1,312 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "collections.Counter",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "utils.read_file",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "utils.timer",... |
8673186666 | # -*- coding: utf-8 -*-
"""
Created on Tue Apr 25 17:56:08 2023
@author: shada
"""
import torch
import torch.nn as nn
class MLP(nn.Module):
def __init__(self, state_dim, action_dim):
super(MLP, self).__init__()
self.fc1 = nn.Linear(state_dim, 64)
self.fc2 = nn.Linear(64, 48)... | Shadab442/dqn-leo-handover-python | dqn_models.py | dqn_models.py | py | 593 | python | en | code | 6 | github-code | 97 | [
{
"api_name": "torch.nn.Module",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_nu... |
2274650445 | """
Combine ESR Leavers data sets into a single file.
Steps:
1. Find files in Trust_data/ESR_Leavers
2. Calculate the Termination Year-Month
3. Group by Year-Month, Ward and Leaving Reason and calculate leavers frequency
4. Drop all columns except Organisation, Termination Month, Leaving Reason, Frequency.
5. Save to f... | Stat-Cook/NuRS_Python_Executable | nurs_routines/esr_leavers_monthly_frequency.py | esr_leavers_monthly_frequency.py | py | 1,685 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "config.ALLOCATE_WARD_COLUMN",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "pandas.DataFrame",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.concatenate",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "config... |
42099826148 | import dataclasses
import numpy as np
import typing
import datetime
import covid19sim.inference.message_utils as mu
class RiskLevelBoundsCheckedType(mu.RiskLevelType):
"""
Wrapper class aliasing RiskLevelType to bound check passed data to
RiskLevelType
"""
lo_bound = 0
hi_bound = mu.risk_leve... | mila-iqia/COVI-AgentSim | tests/utils/message_context.py | message_context.py | py | 15,556 | python | en | code | 17 | github-code | 97 | [
{
"api_name": "covid19sim.inference.message_utils.RiskLevelType",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "covid19sim.inference.message_utils",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "covid19sim.inference.message_utils.risk_level_mask",
"... |
17921751038 | import csv
import re
from stemming.porter2 import stem
from check_list import *
from data_learner import *
# csv_path = "sample.csv"
# colom = 'Complaint Text'
output = [['Complaint area']]
unwanted_words_list = conjuctions + prepositions + pronouns + omit_verbs + ordinals + months + omit_words
known_words_list = unw... | manumathew23/car-complaints-text-analytics | car-complaints-text-analytics/text_analytics.py | text_analytics.py | py | 3,746 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "re.sub",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "stemming.porter2.stem",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number... |
38228162870 | from flask_restful import Resource, reqparse
from werkzeug.datastructures import FileStorage
from werkzeug.utils import secure_filename
from pytorch_helper.resnet34 import load_model, predict
from pytorch_helper.constants import SF_CARS, INDIA_CARS, INDCARS_PARAM, SFCARS_PARAM
import os
class Predict(Resource):
A... | cvproject-dl/dl-cvproject | API(v1)/resources/predict.py | predict.py | py | 2,177 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask_restful.Resource",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "flask_restful.reqparse.RequestParser",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "flask_restful.reqparse",
"line_number": 16,
"usage_type": "name"
},
{
... |
38505176425 | import itertools
from gavo import base
from gavo import rscdef
from gavo import svcs
from gavo import utils
from gavo.registry.model import VS
_VOTABLE_TO_SIMPLE_TYPE_MAP = {
"char": "char",
"bytea": "char",
"unicodeChar": "char",
"short": "integer",
"int": "integer",
"long": "integer",
"float": "real",
"dou... | brianv0/gavo | gavo/registry/tableset.py | tableset.py | py | 5,911 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "gavo.base.sqltypeToVOTable",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "gavo.base",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "gavo.registry.model.VS.dataType",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "... |
36660508879 | from sqlalchemy import Table, Column, String, Integer
from utils.datetime import naive_now
from .base import metadata, TimeStamp
SubscriptionItemsTable = Table(
"subscription_items",
metadata,
Column("id", String(32), primary_key=True),
Column("created_at", TimeStamp(), index=True, default=naive_now)... | vuonglv1612/My-Own-App-Engine | billing/infrastructure/postgres/tables/subscription_items.py | subscription_items.py | py | 466 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sqlalchemy.Table",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "base.metadata",
"line_number": 9,
"usage_type": "argument"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.String"... |
7097201833 | from functools import partial
from random import randint
import torch
import numpy
from models.point_completion import OccupancyModel
from train import MODEL_FILENAME, SHAPENET_CLASS_DIR
from utils.constants import DEVICE, POINTCLOUD_N
from utils.data_loader import generate_data_loader
def generate_grid(ncuts, xl, ... | Akmalleo3/Fall2020_OccupancyNetworksProject | point_completion_occupancy_model/evaluate.py | evaluate.py | py | 5,493 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "numpy.linspace",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.meshgrid",
"li... |
44469780711 | from itertools import tee
import numpy as np
import math
def distance_between_points(a, b):
"""
Calculates the Euclidean distance between two points
:param a: first point
:param b: second point
:return: Euclidean distance between a and b
"""
return np.linalg.norm(np.array(b) - np.array(a))
... | Ezte27/Autonomous_Mobile_Robot | AutonomousMobileRobot/path_planning/rrt/utilities/geometry.py | geometry.py | py | 2,239 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "numpy.linalg.norm",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "itertools.tee",
"... |
22408544558 | # Native imports
import logging
import logging.config
from os import getenv
from os.path import exists
from yaml import safe_load
# Imports
from main import create_app
# Authorship Information
__author__ = "Islam Elkadi"
__copyright__ = "Copyright 2021, Thea Manager"
__credits__ = ["Islam Elkadi"]
__license__ = "N/A"... | islam-thea/thea-manager-backend | src/backend/server/application.py | application.py | py | 1,521 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "logging.INFO",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "os.getenv",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "yaml.safe_load",
"line... |
5648561433 | from datetime import datetime
from flask import request, session, Blueprint, make_response, render_template, redirect
from .models import Hacker
from hacker_server import db
bp = Blueprint('hacker_main', __name__, url_prefix='/')
@bp.route('/', methods=["POST", "GET"])
def index():
'''초기 접속 시 실행할 함수'''
return... | kafa46/information_security | src/xss_practice_level_01/hacker/hacker_server/hacker_views.py | hacker_views.py | py | 944 | python | en | code | 5 | github-code | 97 | [
{
"api_name": "flask.Blueprint",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.redirect",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "models.Hacker.query.order_by",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "models.Hac... |
3807861677 | from django.db import models
# Create your models here.
CROP_CHOICES= (
('Barley', 'Barley'),
('Wheat', 'Wheat'),
('Maize', 'Maize'),
('Sugarcane', 'Sugarcane'),
('Rice','Rice'),
)
LOCATION = (('AMRITSAR','Amritsar'),
('BARNALA','Barnala'),
('FARIDKOT','Faridkot'),
... | sparsh1412/FarmAlert | services/models.py | models.py | py | 1,272 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "django.db.models.Model",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "django.db.models.FloatField",
"line_number": 33,
"usage_type": "call"
},
{
"api_name... |
4017843123 | from django.shortcuts import render
from cap import caplib
import json
import xmlsec
import os
from lxml import etree
capMsg = caplib.Alert()
def alert(request):
return render(request, 'alert.html')
def map(request):
capMsg.sender = request.POST['source'] if request.POST.has_key('source') else ''
capMsg... | aristide-n/CAPComposer | CAPComposer/views.py | views.py | py | 3,880 | python | en | code | 7 | github-code | 97 | [
{
"api_name": "cap.caplib.Alert",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cap.caplib",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.shortcuts.render",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.re... |
7991809749 | """
使用图像增广训练模型
通常只在训练集使用.
"""
import time
import torch
from torch import nn, optim
from torch.utils.data import Dataset, DataLoader
import torchvision
from PIL import Image
import sys
sys.path.append("..")
import utils
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
# 下载数据集
if torch.cuda.is_avai... | ygtxr1997/DiveIntoPytorch | Chapter09/9.1.2-ImageAugTrainingModel.py | 9.1.2-ImageAugTrainingModel.py | py | 2,702 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sys.path.append",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torch.device",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
... |
71157504320 | import xml.etree.ElementTree as etree
import asmmobile.util as util
import datetime
import dateutil.tz
def importer(filename, prefix='elaine-'):
events = {}
locations = {}
root = etree.parse(filename).getroot()
offset = util.tzOffsetString(
datetime.datetime.now(dateutil.tz.tzlocal()).utcoffset... | Barro/assembly-mobile | src/asmmobile/tools/import-asmtvxml.py | import-asmtvxml.py | py | 1,530 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "xml.etree.ElementTree.parse",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "asmmobile.util.tzOffsetString",
"line_number": 10,
"usage_type": "call"
},
{
"api... |
9562379702 | from sqlalchemy import Integer, ForeignKey, String, Column, Date, Table, Boolean
from sqlalchemy.orm import relationship
from database import Base, db_session
from datetime import datetime
import ast
from flask_login import current_user
from abc import ABCMeta, abstractmethod
from flask import Flask, redirect, render_t... | hpy/surveysytem | source/models/courses_model.py | courses_model.py | py | 1,680 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "database.Base",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integer",
"line_number": 15,
"usage_type": "argument"
},
{
"api_name": "sqlalchemy.Col... |
37412382712 | # convert.py
import json
from base64 import b64decode
from pathlib import Path
from datetime import date
now = date.today()
def convert():
DATA_DIR = Path.cwd() / "responses"
#JSON_FILE = DATA_DIR / '/Users/oscartesniere/Documents/GitHub/Projet_NSI_2/responses/image_AI.json'
nom = '/Users/oscartesniere... | Oscar-T24/Projet_NSI_2 | openAI/convert.py | convert.py | py | 910 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "datetime.date.today",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "pathlib.Path.cwd",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"... |
9385297002 | """Silence Finder."""
from dataclasses import dataclass, field
from pathlib import Path
import re
from rich import print
from ..helpers import ffprogress
from .SegmentData import SegmentData
@dataclass
class SilenceFinder:
"""Finds silence in a file and generates a list of SegmentData's representing the non-sil... | Tsubashi/vid-split | src/vid_split/split/SilenceFinder.py | SilenceFinder.py | py | 3,813 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pathlib.Path",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "dataclasses.field",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "SegmentData.SegmentData",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "helpers.ffprog... |
74562099520 | from typing import Optional, List
from lang.python.helper import TreeNode, print_tree
class Solution:
def pathSum(self, root: Optional[TreeNode], targetSum: int) -> List[List[int]]:
# print_tree(root)
return self.m2(root, targetSum)
result = []
self.m1(root, targetSum, [], result)
... | HotHat/leetcode | lang/python/s113.py | s113.py | py | 1,386 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "typing.Optional",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "lang.python.helper.TreeNode",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 6,
"usage_type": "name"
}
] |
9078575053 | import logging
import pytest
import copy
from math import ceil
from ..cim_tests import FieldTestHelper
from ..utilities.log_helper import format_search_query_log
from ..utilities.log_helper import get_table_output
MAX_TIME_DIFFERENCE = 45
LOGGER = logging.getLogger("pytest-splunk-addon")
class IndexTimeTestTemplate... | splunk/pytest-splunk-addon | pytest_splunk_addon/standard_lib/index_tests/test_templates.py | test_templates.py | py | 10,793 | python | en | code | 51 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "utilities.log_helpe... |
606912316 |
import matplotlib.pyplot as plt
import numpy as np
def plot_patterns(
data,
patterns,
i_pattern,
show_symbols=True
):
"""
Colorify the toy dataset for visual interpretation of the patterns.
"""
n_row = data.shape[0]
n_col = data.shape[1]
_, ax = plt.subplots(... | axelroques/NetTree | nettree/plot.py | plot.py | py | 1,681 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "numpy.arange",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "matplotlib.... |
24126671767 | # pip3 install pysocks
import sys
import threading
import requests
import socks
import socket
import re
# Variables globales que indican los parametros a usar
cantidad_hilos = 1
cantidad_repeticiones = 10
url = None
puerto = 80
# Lista de hilos que habran trabajando.
hilos = []
# Funcion que se encarga de manejar ... | jujoar/AtaqueDeLosClones | stress.py | stress.py | py | 3,201 | python | es | code | 0 | github-code | 97 | [
{
"api_name": "sys.argv",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number... |
11122407459 | from typing import List
from promformat.parser.PromQLParser import PromQLParser
class Expr:
def __init__(self, ctx):
self.ctx = ctx
class Literal(Expr):
def __init__(self, ctx, value):
super(Literal, self).__init__(ctx)
self.value = value
class Number(Literal):
pass
class St... | alxric/promformat | promformat/ast_nodes.py | ast_nodes.py | py | 5,492 | python | en | code | null | github-code | 97 | [
{
"api_name": "promformat.parser.PromQLParser.PromQLParser.LabelMatcherContext",
"line_number": 120,
"usage_type": "attribute"
},
{
"api_name": "promformat.parser.PromQLParser.PromQLParser",
"line_number": 120,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number... |
28829480406 | from typing import List, Dict
from clang import cindex
from . import entity_base
from pybind11_weaver.utils import fn
import logging
from pybind11_weaver import gen_unit
_logger = logging.getLogger(__name__)
class MethodCoder:
def __init__(self, cursor, scope_full_name, inject_docstring):
self.inect... | edimetia3d/pybind11_weaver | pybind11_weaver/entity/klass.py | klass.py | py | 5,276 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pybind11_weaver.utils.fn.get_fn_pointer_type",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "pybind11_weaver.utils.fn",
"line_number": 41,
"usage_type": "name"
},
... |
316887275 |
from click.testing import CliRunner
from json import dumps
from flask import Flask, jsonify, request, Response
import sys
import os
import re
sys.path.append(
"/home/luuthanh/Desktop/Keyword_extraction/Backend/Module")
from Module.yake import highlight
from Module.yake import yake
app = Flask(__name__)
# def pre... | anhquan1012/Keyword_extraction | Backend/api.py | api.py | py | 2,182 | python | en | code | 1 | 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": "flask.Flask",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"l... |
29925332688 | #!/usr/bin/env python
# coding: utf-8
# In[3]:
import numpy as np
import pandas as pd
# In[4]:
movies = pd.read_csv('tmdb_5000_movies.csv')
credits = pd.read_csv('tmdb_5000_credits.csv')
# In[5]:
movies.head(2)
# In[6]:
credits.head()
# In[7]:
movies['title'].head()
... | IshaanDixit18/Movie-Recommender-System | Movie Recommendation System.py | Movie Recommendation System.py | py | 6,693 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pandas.read_csv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "ast.literal_eval",
"line_number": 151,
"usage_type": "attribute"
},
{
"api_name": "ast.literal_ev... |
37703010392 | # %%
import datetime
from unicodedata import name
from numpy.testing._private.utils import tempdir
import requests
import pandas as pd
import numpy as np
from io import BytesIO
from zipfile import ZipFile
from xml.etree.ElementTree import parse
from tqdm import tqdm
# import dbconfig
# from hiroku import hiroku
import ... | leeway00/KRX_financial_crawlers | Korea_data/fundamental_dart_old.py | fundamental_dart_old.py | py | 8,005 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "pandas.read_csv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 88,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 88,
"usage_type": "attribute"
},
{
"api_name": "req... |
21882133121 | from UM.Extension import Extension
from cura.CuraApplication import CuraApplication
from UM.Logger import Logger
from UM.Settings.SettingDefinition import SettingDefinition
from UM.Settings.DefinitionContainer import DefinitionContainer
from UM.Settings.ContainerRegistry import ContainerRegistry
from UM.i18n import i1... | ollyfg/cura_pressure_advance_setting | PressureAdvanceSettingPlugin.py | PressureAdvanceSettingPlugin.py | py | 5,907 | python | en | code | 7 | github-code | 97 | [
{
"api_name": "UM.i18n.i18nCatalog",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "UM.Extension.Extension",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "cura.C... |
19209354458 | import json
from data import User
import logging
class UserApi:
@staticmethod
def fetch_user(token):
try:
user = User.get(token)
response = {
'uid': user.user_id,
'name': user.name,
'status': user.status,
'email': ... | LiSe-Team/LiSe | api/user_api.py | user_api.py | py | 558 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "data.User.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "data.User",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "logging.error",
"line_number": 21,
"usage_type": "call"
}
] |
33541932748 | import cv2 as cv
import numpy as np
import pyttsx3
engine = pyttsx3.init()
engine.setProperty('rate',150)
detector = cv.CascadeClassifier(r"Face_Detect/haar_cascade.xml")
recognizer = cv.face.LBPHFaceRecognizer.create()
recognizer.read("Face_Detect/face_trainer.yml")
img_path = "D:/IFP/Images/test.jpg"
names = [... | Saisandeepsangeetham/IFP | Face_Detect/pi_code_face_detect.py | pi_code_face_detect.py | py | 1,507 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pyttsx3.init",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.CascadeClassifier",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.face.LBPHFaceRecognizer.create",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "c... |
39646433086 | '''
以下を順に実行
1. 静止画を表示
2. "q"を押されたら動画を表示
3. escか"q"を押されるor動画終了で元の静止画を表示
4. "q"を押されたら終了
*sample.png,sample.mp4は同じフォルダに入れておくこと
'''
# 動画再生用
import vlc
# 動画再生中にキー入力を検知する用 pygameやmsvcrtでは検出できなかった。ブロックされている？？
# import pygame
# import sys
# import msvcrt
from pynput import keyboard
# 静止画表示用
import cv2
... | akahane-yasuhiko/vlc-python-sample | app.py | app.py | py | 3,236 | python | ja | code | 0 | github-code | 97 | [
{
"api_name": "vlc.Instance",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "pynput.keyboard.Key",
"line_number": 56,
"usage_type": "attribute"
},
{
"api_name": "pynput.keyboard",
... |
22196820121 | from fastapi import APIRouter, Depends
from fastapi.logger import logger as fastapi_logger
from fastapi_plugins import depends_redis
from aioredis import Redis
from pydantic import BaseModel
router = APIRouter(
prefix="/wordcount",
tags=["wordcount"]
)
WORD_COUNT_KEY = "wordcount"
@router.get("")
async def r... | lisy09/spark-dev-box | word-count-api/server/routers/v1/endpoints/wordcount.py | wordcount.py | py | 1,130 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "aioredis.Redis",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "fastapi.Depends",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "fastapi_plugins.depen... |
24123357687 | # write_emitimes_files_L1L2nc.py
from utilvolc import write_emitimes as we
from datetime import datetime, timedelta
from glob import glob
wdir = '/hysplit-users/allisonr/Soufriere/Data_Insertion/'
vdir = '/pub/ECMWF/JPSS/VOLCAT/Vincent/Ash/'
vid = None
correct_parallax = False
decode_times = True
# vfiles = '*'+vid+'... | noaa-oar-arl/utilhysplit | utilvolc/tools/write_emitimes_files_L1L2nc.py | write_emitimes_files_L1L2nc.py | py | 846 | python | en | code | 9 | github-code | 97 | [
{
"api_name": "glob.glob",
"line_number": 14,
"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": "utilvolc.write... |
16243449224 | from google.colab import drive
drive.mount('/content/drive')
import pandas as pd
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import LabelEncoder
import xgboost as xgb
path = '/content/drive/MyDrive/DSA3101_Share/'
df = pd.read_csv(path+'2006_to_2008_preprocessed.... | austinloh/dsa3101-2220-03-airline | backend/model/XGBoost/XGBoost_Model.py | XGBoost_Model.py | py | 3,521 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "google.colab.drive.mount",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "google.colab.drive",
"line_number": 2,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.numbe... |
30574781997 | import numpy as np
import matplotlib.pyplot as plt
from .utils import compute_error, dict_sim
def _omp_solver(A, y, k0):
r = y
x = np.zeros((A.shape[1],))
x_mask = np.zeros((A.shape[1],), dtype=bool)
xs = None
for k in range(k0):
# print(A.shape, r.shape)
inner_prod = np.abs(A.T @... | 10258392511/ImageAnalysis | SparseModel/dict_learning/helpers/train.py | train.py | py | 3,622 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "numpy.zeros",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.abs",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.argmax",
"line_number": 15... |
7709362407 | from .dataset import Dataset
import pandas as pd
def read_csv(*args, **kwargs):
'''Passes along all arguments and kwargs to
:func:`pandas.read_csv` then casts to :class:`Dataset`.
This method is just a helper wrapper function.
You can also pass args for init'ing the Dataset, like roles or targets.
... | sahahn/BPt | BPt/dataset/funcs.py | funcs.py | py | 6,029 | python | en | code | 10 | github-code | 97 | [
{
"api_name": "dataset.Dataset",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pandas.isnull",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"li... |
22034198862 | from datetime import (
datetime,
timedelta,
)
from typing import Optional
import pytest
from pydantic import BaseModel
from reconcile.utils import expiration
TODAY = datetime.utcnow().date()
YESTERDAY = TODAY - timedelta(days=1)
TOMORROW = TODAY + timedelta(days=1)
NEXT_WEEK = TODAY + timedelta(days=7)
LAST_... | app-sre/qontract-reconcile | reconcile/test/utils/test_expiration.py | test_expiration.py | py | 2,727 | python | en | code | 25 | github-code | 97 | [
{
"api_name": "datetime.datetime.utcnow",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "datetime.timedelta",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetim... |
24682713646 | import os
import numpy as np
from typing import List, Dict, Tuple, Union, Optional
import random
from gensim.models import Word2Vec
import pickle
import openpyxl
import re
from copy import deepcopy
from collections import namedtuple
import matplotlib.pyplot as plt
import matplotlib as mpl
import matplotlib.font_manager... | saraitne11/skcc_4_1_ML | ReferenceCodes/RNN/utils.py | utils.py | py | 24,703 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "collections.namedtuple",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path.expanduser",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",... |
26183682486 | import tweepy
import time
consumer_key = 'ZDyySngKigmSXfXqoYu0k5VvP'
consumer_secret = 'XbunRKnPSJsA689f20Yezu7dZ4Qde2wlJ2OOjoJo8bWHfjpxS2'
access_token = '1254713164274577408-lLZJsmD84HAA0R1p4eU47OklnuOirL'
access_token_secret = 'RhNh8gZXP5tyfuWuHQvGjsY8X0u1FhWnnJ6Fug9SmyiFC'
auth = tweepy.OAuthHandler(consumer_key,... | willOnyema/Scripting-Projects | TweeterBot/ztmbot.py | ztmbot.py | py | 993 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "tweepy.OAuthHandler",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "tweepy.API",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tweepy.RateLimitError",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "time.sleep",... |
16302244607 | import os
import time
import argparse
from tqdm import tqdm
from PIL import ImageFile
from datetime import datetime
from contextlib import ExitStack
import torch
import torch.nn as nn
import torch.optim as optim
import torch.distributed as dist
import torchvision.datasets as datasets
import torchvision
from models.res... | DamonAtSjtu/HAWIS | training_test/trainer_ImageNet.py | trainer_ImageNet.py | py | 10,281 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "PIL.ImageFile.LOAD_TRUNCATED_IMAGES",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "PIL.ImageFile",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "torch.backends",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_na... |
11732416150 | import os
import sys
from paste.script.serve import ServeCommand
from karl.scripting import get_default_config
import logging
logging.basicConfig()
def main():
os.environ['PASTE_CONFIG_FILE'] = get_default_config()
cmd = ServeCommand('karl')
cmd.description = """\
Run the KARL application.
If st... | karlproject/karl | karl/scripts/karlctl.py | karlctl.py | py | 680 | python | en | code | 48 | github-code | 97 | [
{
"api_name": "logging.basicConfig",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "karl.scripting.get_default_config",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "... |
37851135161 | import json
import logging
from trie import Trie
import pickle
# the query processor that search for the IDs according to the input query,
def query_processor(created_inv_index, created_trie):
while True:
input_query = input("Enter your query:(Press \"quit\" for terminate.) ")
if input_query == "q... | sertayy/University_Projects | bogazici/CMPE493 | Introduction to Information Retrieval/CMPE493_Project_2/query.py | query.py | py | 2,245 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "json.load",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "trie.Trie",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "logging.error",
"line_number": 56... |
26188333578 | import twitter
import datetime
from settings import CONSUMER_KEY, CONSUMER_SECRET, ACCESS_TOKEN, ACCESS_TOKEN_SECRET
api = twitter.Api(consumer_key=CONSUMER_KEY,
consumer_secret=CONSUMER_SECRET,
access_token_key=ACCESS_TOKEN,
access_token_secret=ACCESS_TOKEN_SECRET... | Pooort/twitter_lists | network/twitter.py | twitter.py | py | 896 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "twitter.Api",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "settings.CONSUMER_KEY",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "settings.CONSUMER_SECRET",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "settings.ACCE... |
27394747438 | import requests
from twilio.rest import Client
TWILIO_ACCOUNT_SID = 'hidden'
TWILIO_AUTH_TOKEN ='hidden'
#account_sid = os.environ['TWILIO_ACCOUNT_SID']
#auth_token = os.environ['TWILIO_AUTH_TOKEN']
account_sid = TWILIO_ACCOUNT_SID
auth_token = TWILIO_AUTH_TOKEN
# hourly forecast for next 48 hours for Denver
my_key ='... | denisetra/100days-FirstAttempt | WeatherAlerts-SMS-Day35/weather_alert_main.py | weather_alert_main.py | py | 1,495 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "requests.get",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "twilio.rest.Client",
"line_number": 42,
"usage_type": "call"
}
] |
70214600958 | import torch
import torch.nn as nn
""" Convolutional block:
It follows a two 3x3 convolutional layer, each followed by a batch normalization and a relu activation.
"""
class conv_block(nn.Module):
def __init__(self, in_c, out_c, activation = "relu"):
super().__init__()
self.conv1 = nn.Conv2d(i... | aditya-nutakki/pfs | ddpm/unet.py | unet.py | py | 4,790 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "torch.nn.Module",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numb... |
18699752838 | from motion_detector import df
from bokeh.plotting import figure, show, output_file
from bokeh.models import HoverTool, ColumnDataSource
# Add new columns to the dataframe which is the datetime values converted into strings
# These will be provided to the HoverTool for use in the tooltips
df["Start_string"] = d... | tonyc4800/Motion-Detection-with-Webcam | main.py | main.py | py | 1,062 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "motion_detector.df",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "motion_detector.df",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "bokeh.models.ColumnDataSource",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "mot... |
22621175610 | import os
import shutil
from datetime import datetime
import time
start_time = datetime.now()
PATH_PHONE = r"C:\Users\HP\python\агрегатор\photo_phone"
PATH_PC = r"C:\Users\HP\python\агрегатор\photo_PC"
def aggregator(path_phone: str, path_PC: str):
dir_phone = os.listdir(path_phone)
for file in dir_phone:
... | slaukan/pars_photo | pars_photo.py | pars_photo.py | py | 1,484 | python | ru | code | 0 | github-code | 97 | [
{
"api_name": "datetime.datetime.now",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "os.listdir",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"... |
70167283840 | from pyquery import PyQuery as pq
from ..models import GroupBuyItem, USER_AGENT
from .base import PyQueryBasedScraper
from .util import extract_shipping_date
URL = "https://cannonkeys.com/pages/group-buy-status"
class CannonkeysScraper(PyQueryBasedScraper):
def _get_url(self):
return URL
def _scrap... | anticlockwise/key_updates | keyup/scrapers/cannonkeys.py | cannonkeys.py | py | 2,096 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "base.PyQueryBasedScraper",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "pyquery.PyQuery",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "models.GroupBuyItem",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "util.ext... |
16579895599 | import hashlib
import json
import os
import time
from datetime import datetime
from urllib import parse, request
import pytumblr
from bs4 import BeautifulSoup
from src.config import *
def build_binary_local_name(reduced_like, middlefix='', binary_url=''):
if reduced_like['like_type'] == 'audio':
remote_... | zentechinc/tumblr_tools | src/main.py | main.py | py | 18,969 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "urllib.request.urlopen",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "urllib.request",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "os.path.abspath",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
"... |
16155679907 | # biblioteka za ogranicenja
import constraint
# 1. definisanje problema
problem = constraint.Problem()
# print(problem)
# 2. definisanje promenljivih
problem.addVariable('x', ['a', 'b', 'c'])
problem.addVariable('y', [1, 2])
problem.addVariable('z', [0.1, 0.2, 0.3])
# 3. definisanje ogranicenja i dodavanje ogranicen... | natasablagojevic/pp | vezbe/03/01.py | 01.py | py | 809 | python | sh | code | 0 | github-code | 97 | [
{
"api_name": "constraint.Problem",
"line_number": 5,
"usage_type": "call"
}
] |
26722715497 | import matplotlib.pyplot as plt
def read_file(filename): # 讀取檔案
prices = []
with open(filename, 'r') as f:
for line in f:
if 'Adj Close' in line:
continue
data = line.strip().split(',')
prices.append(float(data[5]))
return prices
def three_days... | jym197228/stock_technical_analysis_ver1 | sta1.py | sta1.py | py | 3,368 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 85,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 85,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.xlabel",
"line_number": 86,
"usage_type": "call"
},
{
"api_name": "mat... |
40349044947 | import numpy as np
import cv2
from scipy.ndimage import label
from PIL import Image
__all__ = ["apply_mask", "concat", "threshold"]
def threshold(attention_map, threshold_value):
# Convert the attention_map to NumPy array if it's a Pillow Image
if isinstance(attention_map, Image.Image):
attention_map ... | mshenoda/label-diffusion | labeldiffusion/image_processing.py | image_processing.py | py | 4,509 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "PIL.Image.Image",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_n... |
20110283881 | from typing import Optional
from structlog import BoundLogger
from cr_kyoushi.simulation import (
states,
transitions,
)
from cr_kyoushi.simulation.util import now
from .config import Context
__all__ = ["ActivitySelectionState", "WebsiteState", "LeavingWebsite"]
class ActivitySelectionState(states.Probab... | ait-aecid/kyoushi-statemachines | src/cr_kyoushi/statemachines/web_browser/states.py | states.py | py | 2,493 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "cr_kyoushi.simulation.states.ProbabilisticState",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "cr_kyoushi.simulation.states",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "cr_kyoushi.simulation.transitions.Transition",
"line_number... |
45480133872 | from deck import Deck
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
the_deck=Deck(1,13,4)
sum_face=0
#number of occurrence
new_list=[0]*13
num_occurrence=new_list[:]
#each loop, shuffle deck, draw card--add the value to sum and its occurrence +1
for i in range(1000):
the_deck.shuffle()
... | Linglinglinglinglingling/Python_program | Assignment/data_analysis/backup/fairness.py | fairness.py | py | 987 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "deck.Deck",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.legend",
... |
5606777743 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import pkgutil
import compas_convert
from compas_convert.universal_converter.type_converter_match import TypeConverterMatch
class UniversalConverter(object):
def __init__(self):
self._converters ... | biodigitalmatter/compas_convert | src/compas_convert/universal_converter/universal_converter.py | universal_converter.py | py | 5,093 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "pkgutil.iter_modules",
"line_number": 95,
"usage_type": "call"
},
{
"api_name": "compas_convert.__path__",
"line_number": 95,
"usage_type": "attribute"
},
{
"api_name": "compas_convert.universal_converter.type_converter_match.TypeConverterMatch",
"line_number":... |
40096631534 | import numpy as np
from time import sleep
from qcodes import (
load_by_run_spec,
)
from qcodes.utils.dataset.doNd import do1d, do2d, dond, plot, LinSweep, LogSweep
from qcodes.instrument_drivers.stanford_research.SR830 import SR830
from measurement_toolkit.parameters.general_parameters import RepetitionParameter
... | nulinspiratie/measurement_toolkit | measurement_toolkit/measurements/noise_measurements.py | noise_measurements.py | py | 5,162 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "qcodes.instrument_drivers.stanford_research.SR830.SR830",
"line_number": 33,
"usage_type": "argument"
},
{
"api_name": "qcodes.utils.dataset.doNd.LinSweep",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "measurement_toolkit.parameters.general_parameters.... |
2228901614 | import torch
import torch.nn as nn
import torch.nn.functional as F
class VectorQuantizer(nn.Module):
def __init__(self, embed_dim, n_embed):
"""
Args:
embed_dim: dimensionality of the tensors in the quantized space.
Inputs to the modules must be in this format as well.
n_embed: number of... | pneves1051/vqgan-music | models/vq_vae/modules.py | modules.py | py | 7,966 | 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.empty",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "torch.nn.Parameter",
"lin... |
26855579976 | import argparse
import torch
import numpy as np
from robot.controller.pets.envs import make
from robot.envs.hyrule.rl_env import ArmReachWithXYZ
from robot.model.gnn.gnn_forward import GNNForwardAgent
from robot.model.arm.extra.forward import Worker
from robot.model.arm.dataset import Dataset
from robot.mod... | hzaskywalker/torch_robotics | robot/model/arm/test/test_gnn_arm.py | test_gnn_arm.py | py | 4,021 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "robot.envs.hyrule.rl_env.ArmReachWithXYZ",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "torch.tensor",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "tor... |
11731773240 | from pyramid.renderers import get_renderer
from pyramid.decorator import reify
class Navigation(object):
'''
Encapsulate the logic for building the navigation above each calendar.
'''
def __init__(self, calendar_presenter):
self._presenter = calendar_presenter
self._init_left_side()
... | karlproject/karl | karl/content/calendar/navigation.py | navigation.py | py | 1,486 | python | en | code | 48 | github-code | 97 | [
{
"api_name": "pyramid.renderers.get_renderer",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "pyramid.decorator.reify",
"line_number": 37,
"usage_type": "name"
}
] |
27694746948 | # -*- coding: utf-8 -*-
from superjson import json
from pathlib_mate import Path
from seedinvest_monitor.devops.config import Config
config = Config()
if config.is_aws_lambda_runtime():
config.update_from_env_var(prefix="SEEDINVEST_MONITOR_")
else:
config.update(json.load(Path(config.CONFIG_DIR, "00-config-sh... | MacHu-GWU/seedinvest_monitor-project | seedinvest_monitor/devops/config_init.py | config_init.py | py | 550 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "seedinvest_monitor.devops.config.Config",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "superjson.json.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "superjson.json",
"line_number": 11,
"usage_type": "name"
},
{
"api_nam... |
27923273255 | from concurrent.futures import Executor, Future, InvalidStateError
from contextlib import suppress
from queue import SimpleQueue
from typing import Any, Callable, TypeVar, cast
T = TypeVar("T")
class SingleThreadExecutor:
def __init__(self, pool: Executor) -> None:
self._q: SimpleQueue = SimpleQueue()
... | solomankabir123/coq-nvim-test | coq/shared/executor.py | executor.py | py | 944 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "typing.TypeVar",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "concurrent.futures.Executor",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "queue.SimpleQueue",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "typing.Ca... |
18836934764 | from __future__ import annotations
import datetime
import os
import re
import logging
import base64
import json
from typing import Optional, Union, List, TYPE_CHECKING
import discord
from google.oauth2.credentials import Credentials
from google.auth.exceptions import RefreshError
from googleapiclient.discovery import... | 0xgreenapple/peepbot | handler/youtube.py | youtube.py | py | 13,346 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "typing.Optional",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "handler.databa... |
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