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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
6655501967 | from functools import partial
from typing import Callable
import numpy as np
import rospy
from stable_baselines3.common.vec_env import VecNormalize
from supersuit.vector import ConcatVecEnv, MarkovVectorEnv
from supersuit.vector.sb3_vector_wrapper import SB3VecEnvWrapper
class MarkovVectorEnv_patched(MarkovVectorEnv... | ignc-research/arena-marl | arena_navigation/arena_local_planner/learning_based/arena_local_planner_drl/rl_agent/utils/supersuit_utils.py | supersuit_utils.py | py | 3,409 | python | en | code | 11 | github-code | 36 | [
{
"api_name": "supersuit.vector.MarkovVectorEnv",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "numpy... |
29550581614 | # -*- coding: utf-8 -*-
"""
Created on Wed Jun 13 15:41:54 2018
@author: usuario
"""
import pandas as pd
import numpy as np
from keras.models import load_model
from collections import Counter
import time
from datetime import datetime
def runClassifier (current_batch, clf):
current_batch=np.array(c... | palomadominguez/TFG-pulseras | src/classify.py | classify.py | py | 2,435 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.array",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.argmax",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_nu... |
15865559103 | import argparse
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--physics", help="physics marks")
parser.add_argument("--chemistry", help="chemistry marks")
parser.add_argument("--maths", help="maths marks")
args = parser.parse_args()
print(args.physics)
... | codebasics/py | Basics/Exercise/24_argparse/24_argparse.py | 24_argparse.py | py | 527 | python | en | code | 6,422 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 4,
"usage_type": "call"
}
] |
16845647150 | from django.urls import path
from . import views
app_name = 'main'
urlpatterns = [
# not logged in
path('', views.index, name="index"),
path('search/', views.search, name="search"),
# logged in
path('home/', views.home, name="home"),
path('post/', views.addWord, name="post"),
path('resul... | Leomhango/ndamvesta2.0 | backend/main/urls.py | urls.py | py | 597 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
73257029225 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
@author: williamhadnett D00223305
"""
import pymongo
import os
os.chdir('/Users/williamhadnett/Documents/Data_Science/Data_Science_CA3_William_Hadnett')
import atlasCredentials
# =============================================================================
# Connect... | hadnett/Data_Science_Ecommerce_Performance | section2_CA3_William_Hadnett.py | section2_CA3_William_Hadnett.py | py | 7,432 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.chdir",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "atlasCredentials.username",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "atlasCredentials.password",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name":... |
32842087226 | import cv2 as cv
import os
def YOLO():
dir = os.path.dirname(__file__)
net = cv.dnn.readNetFromDarknet(dir + "/models/yolov3-tiny.cfg", dir + "/models/yolov3-tiny.weights")
blob_options = {"scale": 1/255.0, "MeanSubtraction": (0, 0, 0)}
labels = open(dir + "/data/coco2014.names").read().strip().split... | adagun/detector | models.py | models.py | py | 1,137 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "os.path.dirname",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "cv2.dnn.readNetFromDarknet",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.dnn",
"l... |
70096896743 | # -*- coding: utf-8 -*-
"""Example script to show how to use mcetl.launch_main_gui with defined DataSource objects.
@author: Donald Erb
Created on Aug 22, 2020
"""
import itertools
import mcetl
import numpy as np
import pandas as pd
from scipy import optimize
def offset_data(df, target_indices, calc_indices, exc... | derb12/mcetl | examples/use_main_gui.py | use_main_gui.py | py | 29,127 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.where",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.isnan",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "numpy.isnan",
"line_number": ... |
2305398126 | from sqlalchemy.orm import sessionmaker
import sqlalchemy as db
from models.model import Base
from models.team_models import NCAATeam
from models.team_models import NBATeam
from models.oddshark_models import OddSharkNCAA
from models.oddshark_models import OddSharkNBA
from models.hasla_metrics_model import HaslaMetrics... | happy-ruby/SportsBettingAnalysis | database.py | database.py | py | 3,793 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "config.SERVER_ENVIRONMENT",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "sqlalchemy.create_engine",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "config.SERVER_DATABASE_URI",
"line_number": 22,
"usage_type": "attribute"
},
... |
4509215591 | from __future__ import absolute_import, division, print_function
import torch
import torch.nn as nn
from torch.autograd import Variable
import os, sys, errno
import argparse
import time
import numpy as np
import cv2
import matplotlib.pyplot as plt
from tqdm import tqdm
from utils import post_process_depth, flip_lr
f... | surajiitd/jetson-documentation | model_compression/pixelformer/test.py | test.py | py | 13,368 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.min",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.max",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.median",
"line_number": 36,
... |
20491810241 | import re
from django import template
register = template.Library()
@register.simple_tag(takes_context=True)
def active(context, pattern):
path = context['request'].path
if re.search(pattern, path):
return 'active'
return ''
| sirodoht/avocado-jobs | main/templatetags/app_filters.py | app_filters.py | py | 248 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "django.template.Library",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "re.search",
"line_number": 10,
"usage_type": "call"
}
] |
2808266661 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
__version__ = "0.1.0"
__author__ = "Abien Fred Agarap"
import argparse
from normalize_data import list_files
import numpy as np
import os
import pandas as pd
def csv_to_npy(csv_path, npy_path, npy_filename):... | AFAgarap/gru-svm | dataset/csv_to_npy.py | csv_to_npy.py | py | 1,586 | python | en | code | 136 | github-code | 36 | [
{
"api_name": "normalize_data.list_files",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.arra... |
10358623287 | import asyncio
import io
import pickle
import discord
from pgbot import common
# Store "name: pickled data" pairs as cache. Do not store unpickled data
db_obj_cache: dict[str, bytes] = {}
# Optimisation: store per-db bool on whether it got updated or not
db_changed: dict[str, bool] = {}
# store per-resource lock
d... | gresm/PygameCommunityBot | pgbot/db.py | db.py | py | 3,779 | python | en | code | null | github-code | 36 | [
{
"api_name": "asyncio.Lock",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "pgbot.common.TEST_MODE",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "pgbot.common",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "pgbot.comm... |
6249836683 | from trytond.model import fields
from trytond.pool import PoolMeta
from trytond.i18n import gettext
from trytond.exceptions import UserError
__all__ = ['BOMInput']
class BOMInput(metaclass=PoolMeta):
__name__ = 'production.bom.input'
use_lot = fields.Boolean('Use Lot')
@classmethod
def validate(cls,... | NaN-tic/trytond-production_output_lot | bom.py | bom.py | py | 736 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "trytond.pool.PoolMeta",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "trytond.model.fields.Boolean",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "trytond.model.fields",
"line_number": 11,
"usage_type": "name"
},
{
"api_name":... |
35026404794 | from google.api_core import retry
from loguru import logger
from pkg.utils.mongo_utils import get_db
from pkg.project.validate import validate
from bson.objectid import ObjectId
@logger.catch
def delete_project(request):
db = get_db()
request_data = request.json
logger.debug(request_data["_id"]... | rayjan0114/infra | gcp/main/gcpFunction/functions/pkg/project/delete_project.py | delete_project.py | py | 757 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "pkg.utils.mongo_utils.get_db",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "loguru.logger.debug",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "loguru.logger",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "pkg.pr... |
18631976524 | import numpy as np
from sklearn.preprocessing import StandardScaler
from sklearn.metrics import precision_score, recall_score
from scipy.stats import norm
import plotly.graph_objects as go
from libs.Models.ModelParent import ModelParent
import itertools
class STD(ModelParent):
def __init__(self, trainX: np.arra... | xorbey/CATS_public | libs/Models/Anomaly/STD.py | STD.py | py | 5,909 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "libs.Models.ModelParent.ModelParent",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "numpy.asarray",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "sk... |
41748486239 | from flask import Flask, request, jsonify
import producer as p
import time
import metricas as m
app = Flask(__name__)
@app.route('/', methods=['POST'])
def index():
if request.method == 'POST':
data = request.form
tiempo_inicio = time.time() # Registrar el tiempo de inicio
m.tiem... | cesarlmt27/CIT2011 | tarea2/inscripcion/api.py | api.py | py | 1,077 | python | es | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "flask.request.form... |
40892463582 | import io
from datetime import datetime
import cv2
from django.http import FileResponse
from pdf2image import convert_from_bytes
from PIL import Image
from rest_framework import mixins, permissions, viewsets
from rest_framework.decorators import (action, api_view,
authentication_... | pierrotlemekcho/exaged | sifapi/planning/views.py | views.py | py | 8,175 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "rest_framework.response.Response",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "rest_framework.decorators.api_view",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "rest_framework.decorators.permission_classes",
"line_number": 32,
"us... |
43507385682 | # MODULE IMPORTS
# Flask modules
from flask import Flask, render_template, request, url_for, request, redirect, abort
from flask_login import LoginManager, login_user, logout_user, login_required, current_user
from flask_talisman import Talisman
from flask_pymongo import PyMongo
from flask_bcrypt import Bcrypt
from fl... | chriswilson1982/flask-mongo-app | run.py | run.py | py | 10,514 | python | en | code | 20 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "configparser.ConfigParser",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.environ",
... |
24108741135 |
# Generating images of handwritten digits using a Deep Convolutional Generative Adversarial Network
import numpy as np
import tensorflow as tf
from tensorflow.layers import batch_normalization
from tensorflow.keras.layers import UpSampling2D
import matplotlib.pyplot as plt
class DCGAN:
def __init__... | ShankulShukla/Generative-Modeling | DC-GAN.py | DC-GAN.py | py | 7,046 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "tensorflow.variable_scope",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "tensorflow.Variable",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "tensorflow.random_normal",
"line_number": 22,
"usage_type": "call"
},
{
"api_name":... |
31045215488 | import os
import logging
import boto3
import json
import io
import pandas as pd
logger = logging.getLogger()
logger.setLevel(logging.INFO)
s3 = boto3.client("s3")
iam = boto3.client("iam")
personalizeRt = boto3.client("personalize-runtime")
solution_arn = os.environ["SOLUTION_ARN"]
campaign_arn = os.environ["CAMPAIG... | ryankarlos/AWS-ML-services | lambdas/realtimepersonalize/lambda_function.py | lambda_function.py | py | 2,097 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "boto3.client",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "boto3.client",
"l... |
44292327781 | from collections import namedtuple
import hashlib
from itertools import product
from typing import TYPE_CHECKING, Optional
import uuid
import pytest
from pynenc import Pynenc
from pynenc.broker.base_broker import BaseBroker
from pynenc.orchestrator.base_orchestrator import BaseOrchestrator
from pynenc.runner.base_run... | pynenc/pynenc | tests/integration/apps/mem_combinations/conftest.py | conftest.py | py | 4,473 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "collections.namedtuple",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "typing.Optional",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "itertools... |
42504873893 | import random as rnd
import matplotlib.pyplot as plt
from matplotlib.ticker import MultipleLocator
p_show = lambda x: rnd.uniform(0.907, 0.968)
def show_up(p):
if rnd.random() <= p:
return True
return False
def flight(num_tix, tix_price, comp_cost, capacity):
p = p_show(0)
shows = sum([1 fo... | behtashgolshani/Monte-Carlo-simulation-airline-overbooking | simulation.py | simulation.py | py | 1,991 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "random.uniform",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "random.random",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "matplotlib.pypl... |
72734245545 | from neo4j import GraphDatabase
from lxml import etree, objectify
import mwparserfromhell
import spacy
import re
import sys
import math
import enchant
import argparse
"""
The interface to the Neo4J database.
"""
class Neo4JInterface:
def __init__(self, uri, user, password):
self.driver = GraphDatabase.dri... | arrivance/wiki-to-neo4j | wiki4j.py | wiki4j.py | py | 10,651 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "neo4j.GraphDatabase.driver",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "neo4j.GraphDatabase",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "mwparserfromhell.parse",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": ... |
13938469838 | from analysers.WarningAnalyser import WarningAnalyser
from auto_editor.StructuredProjectSource_Recommendation import StructuredProjectSource_Recommendation
from enums import RecommendationItem
from typing import List
class WarningRecommendationAnalyser(WarningAnalyser):
"""
Basically, the same as the pre-anal... | UCL-oneAPI/CTA-oneAPI | analysers/WarningRecommendationAnalyser.py | WarningRecommendationAnalyser.py | py | 2,371 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "analysers.WarningAnalyser.WarningAnalyser",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "auto_editor.StructuredProjectSource_Recommendation.StructuredProjectSource_Recommendation",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "enums.Recommen... |
23363352897 | import torch
import torch.nn as nn
import math
class GlobalReinitNet(nn.Module):
def __init__(self):
super(GlobalReinitNet, self).__init__()
# Spatial transformer localization-network
self.localization = nn.Sequential(
nn.Conv2d(3, 8, kernel_size=5, stride=2, padding=0),
... | shaoxiaohu/Face_Alignment_DPR | networks/ReinitNet.py | ReinitNet.py | py | 3,833 | python | en | code | 11 | github-code | 36 | [
{
"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.Sequential",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_... |
27337201293 | from flask import Flask, render_template, redirect, request, session, url_for, send_file
import sqlite3
from datetime import datetime, timedelta, date
from werkzeug.security import check_password_hash, generate_password_hash
from io import BytesIO
import openpyxl as xl
from openpyxl.styles import Font
from os import pa... | weien0905/drcr | app.py | app.py | py | 34,057 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_nu... |
10062739523 | from django.http import HttpResponse, JsonResponse
from django.utils.decorators import method_decorator
from django.views import View
from django.views.decorators.csrf import csrf_exempt
from rest_framework.parsers import JSONParser, FormParser,MultiPartParser
from rest_framework.renderers import JSONRenderer, Browsabl... | hongdy-python/03drf | prapp/views.py | views.py | py | 3,368 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.http.HttpResponse",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.http.HttpResponse",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "django.http.HttpResponse",
"line_number": 23,
"usage_type": "call"
},
{
"api_na... |
24458145308 | import time
import os
import requests
from sense_hat import SenseHat
updateInterval = 300 # update once every 5 minutes
writeAPIkey = 'OY8DUS7XDPAU2KTT' # write API key for the channel
readAPIkey = 'TXI2BWJFGPTIVELP' # read API key for the channel
channelID = '2003669' # channel ID
def sensorData():
"""Funct... | jycal/iot-temps-rpi | temps_monitor.py | temps_monitor.py | py | 2,180 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sense_hat.SenseHat",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.popen",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_nu... |
26428963144 | import sys
from flask import Flask, render_template, request, jsonify
from clusterization import clusterize
app = Flask(__name__)
app.config["TEMPLATES_AUTO_RELOAD"] = True
app.config['SEND_FILE_MAX_AGE_DEFAULT'] = 0
@app.route("/test-action", methods=["POST", "GET"])
def test_btn_handle():
data = request.get_j... | alt2019/SRW-visualization | flask-proj/app-python-mcs.py | app-python-mcs.py | py | 1,187 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.request.get_json",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.request",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "clusterization.cluste... |
29984268730 | import cv2
import torch
from .flowers_dataset import FlowersDataset
import warnings
warnings.filterwarnings("ignore")
def prepare_data_for_model(path_to_image, transform=None, use_descriptors_as_features=False, features_type='hog'):
image = cv2.imread(path_to_image)
image = cv2.cvtColor(image, cv2.COLOR_BGR2... | kryvokhyzha/azure-ml-courses | flowers-azure-ml/src/datasets/__init__.py | __init__.py | py | 943 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2RGB",
... |
28918133028 | #!/usr/bin/env python
import piexif # need to install by pip install piexif
import exifread # need to install by pip install exifread
from fractions import Fraction
import datetime
import time
# Class used to change image EXIF Data
def set_gps_location(file_name, lat, lng, altitude):
"""Adds GPS position as E... | ronakbhag/ids_coordinates_setter | scripts/image_editor.py | image_editor.py | py | 3,027 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "piexif.GPSIFD",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "piexif.GPSIFD",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "piexif.GPSIFD",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "piexif.GPSIF... |
23395076072 | import argparse
import datetime
import hashlib
import logging
import shutil
import os
import tempfile
import time
import requests
from stoq import Stoq, RequestMeta
from malwaretl_stoq_transformer import transformer
from malware_collector import MalwareCollector
logger = logging.getLogger(__name__)
logger.setLevel... | g-clef/malware_collector | URLHausSource.py | URLHausSource.py | py | 5,247 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "malware_collector.MalwareCollector",
"line_number": 22,
"usage_type": "name"
},
{
"api_name":... |
16140915477 | import typing
import time
import sys
import logging
import itertools
import numpy as np
from scipy.spatial import distance as sp_dist
import pyautogui as pg
import actionplanner as planner
# pylint: disable=too-few-public-methods
class MouseClicker(planner.MouseClicker):
def __init__(self, bdetector):
"... | kkew3/sat-minesweeper | virtual/actionplanner.py | actionplanner.py | py | 4,350 | python | en | code | 6 | github-code | 36 | [
{
"api_name": "actionplanner.MouseClicker",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "typing.Tuple",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "time.sleep",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pyautogu... |
6791618821 | from rest_framework import serializers
from ...models import ServiceRequest
class ServiceRequestSerializer(serializers.ModelSerializer):
name = serializers.CharField(required=True)
email = serializers.EmailField(required=True)
class Meta:
model = ServiceRequest
fields = [
'na... | tomasgarzon/exo-services | service-exo-core/marketplace/api/serializers/service_request.py | service_request.py | py | 646 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "rest_framework.serializers.CharField",
"line_number": 7,
"usage_... |
7132570944 | ### Retrieve only the pieces of document chunks that are relevant to the query because context window of LLMs is limited.
### Different ways to split the documents :
#### Characters, tokens, context aware splitting such Markdown header splitter.
### Parameter needed to be tuned : separated, chunk size, chunk overlap,... | kn-neeraj/NotionKnowledgeAssistant | document_chunks.py | document_chunks.py | py | 1,879 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "langchain.text_splitter.MarkdownTextSplitter",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "langchain.text_splitter.CharacterTextSplitter",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "langchain.text_splitter.RecursiveCharacterTextSplitter... |
40145189651 | from pyface.qt.QtGui import QLineEdit, QGroupBox, QHBoxLayout, QVBoxLayout
from pyface.qt.QtGui import QWidget
class AtomPropertiesWidget(QWidget):
"""
This widget modifies properties of a specific atom
"""
def __init__(self, parent=None):
super(AtomPropertiesWidget, self).__init__(parent)
... | aloschilov/simple-game-engine | engine_configurator/atom_properties_widget.py | atom_properties_widget.py | py | 1,589 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pyface.qt.QtGui.QWidget",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "pyface.qt.QtGui.QLineEdit",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pyface.qt.QtGui.QGroupBox",
"line_number": 15,
"usage_type": "call"
},
{
"api_na... |
71488499305 | import matplotlib.pyplot as plt
import numpy as np
from matplotlib import animation
from matplotlib.widgets import Slider, Button
def dft(x):
N = x.__len__()
print(f'there will be {N} circles')
X = np.array([])
for k in range(N):
re, im = 0, 0
for n in range(N):
phi = (np.p... | chickysnail/fourier-transform-drawing | Fourier series.py | Fourier series.py | py | 4,080 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.array",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "numpy.cos",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 16... |
16413121892 | import subprocess
import requests
from flask import Flask, request, json
from jproperties import Properties
configs = Properties()
with open('server.properties', 'rb') as config_file:
configs.load(config_file)
app = Flask(__name__)
@app.route("/health")
def healthCheck():
return "alive", 200
@app.route("/page",... | zarcha/pirate-pager | node/app.py | app.py | py | 1,926 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "jproperties.Properties",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.json.loads",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "flask.json",
"... |
11695999761 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2020/3/31 22:32
# @Author : TanLHHH
# @Site :
# @File : 前程无忧_测试.py
# @Software: PyCharm
import requests
from lxml import etree
import csv
import time
import random
import re
fp = open('51job.csv', 'wt', newline='', encoding='utf-8', errors='ignore')
... | TanLHHHH/Spiders | 测试文件夹/前程无忧_测试.py | 前程无忧_测试.py | py | 3,832 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "csv.writer",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "lxml.etree.HTML",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"line_number... |
165914696 | import gym
import numpy as np
import random
from time import sleep
import matplotlib.pyplot as plt
from scipy.special import entr
from utils import clear,calculate_entropy,save_training_progress,early_stop
import config
import time
import cv2
class Agent():
def __init__(self):
clear()
"""Setup"""
... | Abdulhady-Feteiha/Information-Digital-Twin | Genesis-Taxi/Agent.py | Agent.py | py | 8,004 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "utils.clear",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "config.train_flag",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "config.env",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "config.env",
"... |
24846541046 | #!/usr/bin/env python3
import os
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.patches import Rectangle, Circle
from skimage.io import imread_collection, imshow
from skimage.feature import canny
from skimage.color import rgb2gray
from skimage.transform import hough_circle, hough_circle_peaks
def ... | eugenbobrov/vision-hack | vision.py | vision.py | py | 2,580 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.listdir",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "skimage.io.imread_collection",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.std",
"l... |
33147614582 | #!/usr/bin/env python3
# Author: Jan Demel (xdemel01@fit.vutbr.cz)
# This script was made as a part of IPK course
# Don't copy this please...
# My API key: 419db25b1d35c32d9f83525f3bc9931c
import socket
import json
import sys
# Error codes
ERROR_ARGS = -1
ERROR_SOCKET_CONNECTION = -2
ERROR_FORMAT_OUTPUT_DATA = -3
... | hondem/FIT | ipk_proj_1/script.py | script.py | py | 2,040 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.argv",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "sys.stderr",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": ... |
33541610808 | #!/usr/bin/python
import os
import sys
import subprocess
import datetime
import math
try:
# Change the next line if your config folder is not $HOME/.config
config_directory = f"{os.environ['HOME']}/.config"
# If $HOME isn't set, os.environ['HOME'] will cause an error
except KeyError:
print("The envi... | michaelskyba/kvrg-avg | main.py | main.py | py | 21,826 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.environ",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 2... |
6482900973 | import requests
url = "https://www.caberj.com.br/wspls/WS005.apw"
querystring = {"WSDL":""}
payload = ""
headers = {
"cookie": "SESSIONID=36c9c80f7d7d823affe2b4d5d3522477",
"Authorization": "Basic cmVzdHVzZXI6UEBzc3cwcmQyMDIz"
}
response = requests.request("GET", url, data=payload, headers=headers, params=q... | msullivancm/ProjetosComAte10LinhasDeCodigoPython | apiRestMosiaBkp/requestWS005.py | requestWS005.py | py | 353 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.request",
"line_number": 13,
"usage_type": "call"
}
] |
37508516152 | from flask import Blueprint, request
from .connection import client
import datetime
now = datetime.datetime.utcnow()
user_route = Blueprint('user_route', __name__)
# Connect to collection
db = client.swiper
collection = db.users
# Post/get route acceser
@user_route.route('/', methods=['GET', 'POST'])
def userCreate... | acedinstitute/swipingApi | routes/user.py | user.py | py | 939 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "datetime.datetime.utcnow",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "flask.Blueprint",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "connecti... |
35676671945 | """
*Element Shape*
"""
from dataclasses import dataclass
from strism._geoshape import Pixel
__all__ = ["ElementShape"]
@dataclass
class ElementShape:
width: Pixel
height: Pixel
@classmethod
def create(
cls,
width: int,
height: int,
):
return cls(
... | jedhsu/text | text/_shape/_shape.py | _shape.py | py | 375 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "strism._geoshape.Pixel",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "strism._geoshape.Pixel",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "strism._geoshape.Pixel",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "... |
14566329358 | from django.db import models, migrations
import cover.models
class Migration(migrations.Migration):
dependencies = [
]
operations = [
migrations.CreateModel(
name='Image',
fields=[
('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=Tr... | fnp/redakcja | src/cover/migrations/0001_initial.py | 0001_initial.py | py | 1,275 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.CreateModel",
"line_number": 11,
"usage_type": "call"
},
... |
27976899334 | import tkinter as tk
import tkinter.ttk as ttk
from time import sleep
from PIL import ImageTk, Image
import sys
import Initialise
import Manual
import Settings
class Controls():
def __init__(self, background, initialise_panel, manual_panel, settings_panel, tileprint_panel, state):
self.background = backg... | InfiniteAnswer/Robot_GUI_V2 | Controls.py | Controls.py | py | 4,308 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "PIL.Image.open",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "PIL.ImageTk.PhotoImage",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "PIL.ImageTk",
"li... |
2006853859 |
import json
import datetime
from . import db
class View(db.Model):
__tablename__ = 'devicer_views'
view_key = db.Column(db.String(20), primary_key=True)
view_name = db.Column(db.String)
view_saved = db.Column(db.DateTime, default=datetime.datetime.now())
selecter_mode = db.C... | rleschuk/devicer | app/models.py | models.py | py | 1,944 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "datetime.datetime.now",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "json.dumps",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "json.dumps",
... |
15826823002 | import logging
import scipy.cluster.hierarchy as sch
import sklearn.cluster as sc
# to map the user labels
# - user_input_df: pass in original user input dataframe, return changed user input dataframe
# - sp2en: change Spanish to English
def map_labels_sp2en(user_input_df):
# Spanish words to English
span_eng_... | e-mission/e-mission-server | emission/analysis/modelling/tour_model/label_processing.py | label_processing.py | py | 6,913 | python | en | code | 22 | github-code | 36 | [
{
"api_name": "logging.debug",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "logging.debug",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "scipy.cluster.hierarchy.link... |
30372470703 | from django.shortcuts import render,redirect
# from .models import details
from django.contrib import messages
from django.contrib.auth.forms import AuthenticationForm
from .forms import SignUpForm, UserName
from django.contrib.auth import authenticate, login, logout
from .models import FriendDetails
import requests
fr... | harithlaxman/CodeChef-Friends | main/views.py | views.py | py | 4,773 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "models.FriendDetails.objects.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "models.FriendDetails.objects",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "models.FriendDetails",
"line_number": 14,
"usage_type": "name"
},
... |
6759362866 | import pandas as pd
import numpy as np
import random,math
from scipy.spatial import distance
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import matplotlib.colors as mcolors
from collections import defaultdict
def plot_3d(res_datapoints,m,pdf):
fig = plt.figure()
ax = Axes3D(f... | swadtasnim/My-K-Means-Clustering | synthetic_data.py | synthetic_data.py | py | 2,705 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "mpl_toolkits.mplot3d.Axes3D",
"line_number": 19,
"usage_type": "call"
},
{
"api_name":... |
33621622326 | from models import QP
from tqdm import tqdm
import matplotlib.pyplot as plt
import torch
from torch import optim
from torch.autograd import Variable
import torch.nn.functional as F
from copy import copy
from random import shuffle, sample
import numpy as np
from IPython.core.debugger import set_trace
import config
impo... | jprothero/MetaQP | MetaQP.py | MetaQP.py | py | 20,649 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.seterr",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "utils.create_fol... |
27235166738 | # -*- coding: utf-8 -*-
__author__ = "Michele Samorani"
import pandas as pd
import cplex
import time
import random
TIME_LIMIT_SECONDS = 60
def build_scenarios(show_probs, max_scenarios,seed):
"""
Builds the scenarios
:param show_probs:
:type show_probs: list[float]
:return: a list of (probability,... | samorani/Social-Justice-Appointment-Scheduling | src/stochastic.py | stochastic.py | py | 6,965 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "random.seed",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "itertools.product",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "random.uniform",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_nu... |
21120299087 | from Sentence_Encoder.meta_response_encoder_fast import encode as response_encode
import Utils.functions as utils
import numpy as np
import torch as T
import copy
def random_response(candidates, conversation_history, p=None):
loop = 5
if p is None:
response = random.choice(candidates)
else:
... | JRC1995/Chatbot | ReRanker/rerank.py | rerank.py | py | 3,529 | python | en | code | 79 | github-code | 36 | [
{
"api_name": "numpy.random.choice",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.choice",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.rando... |
72314053544 | import os
from setuptools import find_packages, setup
with open(os.path.join(os.path.dirname(__file__), 'README.rst')) 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='django-atlassian',
... | fluendo/django-atlassian | setup.py | setup.py | py | 1,409 | python | en | code | 7 | github-code | 36 | [
{
"api_name": "os.path.join",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_number": ... |
28440391809 | import glob
import os
import pickle
import time
from abc import ABC
from pathlib import Path
from typing import Tuple
import numpy as np
from smart_settings.param_classes import recursive_objectify
from mbrl import allogger
from mbrl.base_types import Controller, ForwardModel, Pretrainer
from mbrl.controllers import ... | martius-lab/cee-us | mbrl/initialization.py | initialization.py | py | 18,460 | python | en | code | 11 | github-code | 36 | [
{
"api_name": "mbrl.controllers.cem_memory.CEMDataProcessor",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "os.path.isabs",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 64,
"usage_type": "attribute"
},
{
"api_name"... |
32542351130 | from google.cloud import storage
from configparser import ConfigParser
from google.oauth2 import service_account
from googleapiclient.discovery import build
from utils.demo_io import (
get_initial_slide_df_with_predictions_only,
get_fovs_df,
get_top_level_dirs,
populate_slide_rows,
get_histogram_df,... | alice-gottlieb/nautilus-dashboard | examples/gcs_example.py | gcs_example.py | py | 1,919 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "gcsfs.GCSFileSystem",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "google.oauth2.service_account.Credentials.from_service_account_file",
"line_number": 30,
"u... |
18794245329 | from typing import Any
import pytest
from click.testing import CliRunner
from happi.prompt import enforce_list, read_user_dict
from happi.utils import EnforceError
def test_user_dict(runner: CliRunner):
default_dict = {'default_key': 'default_value'}
# normal operation
with runner.isolation('key1\nvalu... | pcdshub/happi | happi/tests/test_prompt.py | test_prompt.py | py | 1,324 | python | en | code | 10 | github-code | 36 | [
{
"api_name": "click.testing.CliRunner",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "happi.prompt.read_user_dict",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "happi.prompt.read_user_dict",
"line_number": 21,
"usage_type": "call"
},
{
"a... |
10343389752 | from PyPDF2 import PdfFileWriter, PdfFileReader,PdfFileMerger
import os
import glob
import time
def remove_blank():
files = os.listdir('temp')
print(len(files))
for i in range(len(files)):
input_pdf = PdfFileReader(open(f"temp/temp{i}.pdf", "rb"))
output_pdf = PdfFileWriter()
output... | neel-jotaniya/product_detail | pdf.py | pdf.py | py | 1,080 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.listdir",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "PyPDF2.PdfFileReader",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "PyPDF2.PdfFileWriter",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"... |
7089966560 | from bottle import redirect, request, post
import uuid
import jwt
import time
from check_if_logged_in import check_if_logged_in
from global_values import *
@post("/new-tweet")
def new_tweet_post():
if not check_if_logged_in():
return redirect("/login")
# title
new_tweet_title = request.forms.... | sara616b/01_mandatory_web_dev | new_tweet_post.py | new_tweet_post.py | py | 1,355 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "check_if_logged_in.check_if_logged_in",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "bottle.redirect",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "bottle.request.forms.get",
"line_number": 15,
"usage_type": "call"
},
{
"ap... |
72871590183 | import os
import torch
from torch.utils.data import Dataset
import torchvision
import data
DEVICE = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
PGT_LOAD_FILE = "pseudo_gt_thesis.pth"
CLEAN_PGT_LOAD_FILE = "cleaned_pseudo_gt_thesis.pth"
# img size: (200,400)
class TabletopWorkDataset(Dataset):
... | LDenninger/se3_pseudo_ipdf | data/tabletop/pls_dataset.py | pls_dataset.py | py | 4,837 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.device",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.utils.data.Da... |
19988594566 | import bpy
bl_info = {
"name": "Apply Modifier",
"author": "mate.sus304",
"version": (1, 2),
"blender": (2, 80, 0),
"location": "View3D > Object > Apply",
"description": "Apply All Modifier to Mesh Object",
"warning": "",
"wiki_url": "",
"tracker_url": "",
"website":"https://sit... | Taremin/ApplyModifier | __init__.py | __init__.py | py | 7,817 | python | en | code | 29 | github-code | 36 | [
{
"api_name": "bpy.app",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "bpy.context",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "bpy.context",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "bpy.context",
"lin... |
6658450371 | from django.contrib import admin
from .models import User, Supplier
class UserAdmin(admin.ModelAdmin):
readonly_fields = ("last_login", "password", "phone_no", "email")
list_display = (
"email",
"first_name",
"last_name",
"is_active",
"created_at",
)
list_filter ... | Corestreamng/adzmart-supplier | adzmart-develop/apps/authentication/admin.py | admin.py | py | 866 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 17,
"usage_type": "attribute"
... |
31033799131 | import numpy as np
import os, pickle
import random
import torch
import torch.nn as nn
from collections import deque
from torch import Tensor
from torch import tensor
from time import time, sleep
import src.model_greedy
if torch.cuda.is_available():
cuda = torch.device('cuda')
else:
cuda = torch.device('cpu... | atakanyasar/hungry-geese | src/model.py | model.py | py | 7,803 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.cuda.is_available",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "torch.device",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.device",
... |
75127901544 | from cravat.cravat_report import CravatReport
import sys
import datetime
import re
import pandas as pd
import cravat
import json
import pyreadr
import os
class Reporter(CravatReport):
def setup (self):
self.filenames = []
self.filename = None
self.filename_prefix = None
if self.sav... | KarchinLab/open-cravat-modules-karchinlab | reporters/genesis_variant_groupingsreporter/genesis_variant_groupingsreporter.py | genesis_variant_groupingsreporter.py | py | 55,376 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "cravat.cravat_report.CravatReport",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "cravat.get_wgs_reader",
"line_number": 85,
"usage_type": "call"
},
{
"api_name": "os... |
19792929420 | from sklearn.ensemble import RandomForestClassifier
from scipy import signal
import pandas as pd
import numpy as np
import statsmodels.api as sm
from sklearn.preprocessing import MinMaxScaler
from statsmodels.tsa.stattools import adfuller
import pickle
from io import BytesIO
def classifier(data_set):
with open('mo... | shyamsivasankar/TIME-SERIES-DATA | findClass.py | findClass.py | py | 2,042 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pickle.load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_numbe... |
27734664933 | import os, sys
from http import HTTPStatus
from fastapi import FastAPI
from fastapi import Response
from fastapi_sqlalchemy import DBSessionMiddleware
from dotenv import load_dotenv
from app.main.adapters import fast_api_adapter
from app.domain.usecases import CreateUserParams, CreateUserResponse
from app.main.factori... | victoroliveirabarros/fastapi-sql | app/main/main.py | main.py | py | 1,309 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "os.path.dirname",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "dotenv.load_dotenv",
... |
27239521850 | # youtube/youtube_api.py
import google.auth
from google.auth.transport.requests import AuthorizedSession
from google.oauth2.credentials import Credentials
from googleapiclient.discovery import build
from config.config import YOUTUBE_API_KEY
class YoutubeAPI:
def __init__(self):
self.credentials = None
... | eddari-me/youtube_shorts_to_instagram | youtube/youtube_api.py | youtube_api.py | py | 1,136 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "google.auth.auth.default",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "google.auth.auth",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "google.auth",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "googleapic... |
36998634880 | from django.shortcuts import render
from django.http.response import JsonResponse
from rest_framework.parsers import JSONParser
from rest_framework import status
from api.models import SunExposure
from api.serializers import SunExposureSerializer
from rest_framework.decorators import api_view
# Create your views her... | ejustis/garden-tracker-api | api/views.py | views.py | py | 2,265 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "api.models.SunExposure.objects.all",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "api.models.SunExposure.objects",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "api.models.SunExposure",
"line_number": 15,
"usage_type": "name"
... |
26454125237 | import argparse
import gc
import logging
import os
import glob
import pandas as pd
import sys
sys.path.append("../ddn/")
sys.path.append("./")
from collections import defaultdict
import torch
import warnings
warnings.filterwarnings('ignore')
import numpy as np
torch.backends.cudnn.benchmark = True
from matplotlib ... | Vikr-182/ddn-forecasting | scripts/data_prep.py | data_prep.py | py | 9,023 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.path.append",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_numb... |
26116785786 | from genericpath import samefile
import torch
# import mmcv
# from mmseg.apis import init_segmentor#, inference_segmentor, init_cfg
# from mmseg.models import build_segmentor
# from mmcv import ConfigDict
import torchvision
# from SETR.transformer_seg import SETRModel, Vit
import segmentation_models_pytorch as smp
d... | aya49/flowMagic_data | method/models.py | models.py | py | 2,805 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torchvision.models.segmentation.deeplabv3_resnet50",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torchvision.models",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "segmentation_models_pytorch.Unet",
"line_number": 22,
"usage_t... |
12483249842 | import cfgrib
import xarray as xr
import matplotlib.pyplot as plt
import os
import glob
from pathlib import Path
from tqdm import tqdm, tnrange
import pandas as pd
import math
import shapely.wkt
def get_csv_from_grib_files(grib_files: list) -> pd.DataFrame:
"""_summary_
Args:
grib_files... | drivendataorg/nasa-airathon | pm25/3rd Place/src/preprocessing/gfs/gfs_prep_group_1.py | gfs_prep_group_1.py | py | 3,731 | python | en | code | 12 | github-code | 36 | [
{
"api_name": "tqdm.tqdm",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "xarray.open_dataset",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"l... |
25468573866 | from mycroft import MycroftSkill, intent_file_handler
import openai
import os
class Chatgpt(MycroftSkill):
def __init__(self):
MycroftSkill.__init__(self)
openai.api_key = os.environ[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] # Set the API key
@intent_file_handler('chatgpt.intent')
... | adamkalbouneh/chatgpt-skill | __init__.py | __init__.py | py | 723 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "mycroft.MycroftSkill",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "mycroft.MycroftSkill.__init__",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "mycroft.MycroftSkill",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "... |
73202406184 | from bokeh.models import (
HoverTool,
Range1d,
ColumnDataSource,
BBoxTileSource,
TapTool,
)
from bokeh.plotting import figure
from bokeh.layouts import row, column
import bokeh.models as bokeh_models
from bokeh.models.widgets import Div, RadioGroup, CheckboxGroup
BOKEH_BACKGROUNDS = {
"luchtfo... | d2hydro/hydrodashboards | src/hydrodashboards/bokeh/widgets/map_figure_widget.py | map_figure_widget.py | py | 4,761 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "bokeh.models",
"line_number": 69,
"usage_type": "argument"
},
{
"api_name": "bokeh.models.ColumnDataSource",
"line_number": 74,
"usage_type": "name"
},
{
"api_name": "bokeh.models.Range1d",
"line_number": 80,
"usage_type": "call"
},
{
"api_name": "b... |
70943556903 | from pyspark.sql import SparkSession
from pyspark.streaming import StreamingContext
from time import sleep
spark = SparkSession.builder.appName('streaming').getOrCreate()
sc = spark.sparkContext
ssc = StreamingContext(sc, 1)
ssc.checkpoint('/tmp')
lines = ssc.socketTextStream('0.0.0.0', 301)
words = lines.flatMap(lam... | bablookr/big-data-experiments | pyspark-experiments/streaming/stream.py | stream.py | py | 522 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pyspark.sql.SparkSession.builder.appName",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.SparkSession",
"line_number": 5,
"usage_type": "... |
73388984743 | """Plot Stream PGM."""
import sys
import daft
import matplotlib.pyplot as plt
from showyourwork.paths import user as user_paths
paths = user_paths()
# Add the parent directory to the path
sys.path.append(paths.scripts.parent.as_posix())
# isort: split
# Matplotlib style
plt.style.use(paths.scripts / "paper.mplsty... | nstarman/stellar_stream_density_ml_paper | src/scripts/pgm.py | pgm.py | py | 5,422 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "showyourwork.paths.user",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplo... |
25053087228 | # Std Libs:
import logging
# Django Libs:
from django.contrib.auth.models import User
# Django Rest Framework Libs:
from rest_framework import viewsets
from rest_framework.response import Response
from rest_framework import status
# Locals:
from .models import Client
from .permissions import ClientPermissions
from .ser... | Emericdefay/OCR_P12 | CRM/client/views.py | views.py | py | 7,612 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "rest_framework.viewsets.ViewSet",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.viewsets",
"line_number": 19,
"usage_type": "name"
},
{
"ap... |
2318482284 | import torch
import math
import numpy as np
import os
import cv2
import imutils
import random
import shutil
from slim_net import FaceQualityNet, FaceQualitySlim
from myconfig import config as testconf
from load_data import pytorch_to_dpcoreParams, save_feature_channel, get_patches, get_patches_augment
from detector.c... | xinyunmian/Face_compliance_detection | face_quality/train/test_quality.py | test_quality.py | py | 19,759 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.zeros",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "numpy.int32",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "cv2.resize",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "myconfig.config.img_width",
... |
42873043264 | """Class definition and associated functions for requesting data from
IUCN Red List. Run as a script it downloads the latest Red List.
You need an API token to use it, available from
http://apiv3.iucnredlist.org/api/v3/token.
"""
import requests
import requests_cache
import csv
import datetime
import time
from argpa... | barnabywalker/threatened_species_classification_comparison | scripts/redlist_api.py | redlist_api.py | py | 8,897 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "requests_cache.install_cache",
... |
43508300282 | """
"""
import sys
from pathlib import Path
print(Path(__file__).resolve().parents[1])
sys.path.append(Path(__file__).resolve().parents[1])
if __name__ == '__main__' and __package__ is None:
__package__ = 'kurosc'
#
# from lib.plotformat import setup
import numpy as np
np.set_printoptions(precision=2, suppress=Tr... | chriswilly/kuramoto-osc | Python/kurosc/kurosc/unit_test.py | unit_test.py | py | 6,957 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "pathlib.Path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_numb... |
150778063 | from django.urls import path
from django.contrib import admin
from django.urls import include
#Add URL maps to redirect the base URL to our application
from django.views.generic import RedirectView
from . import views
urlpatterns = [
path('start/', views.StartPlay.as_view(), name='start-play'),
path('start/<i... | edbranson/scorekeeping | scorekeeping/score/urls.py | urls.py | py | 1,095 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.urls.path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.urls.path",... |
29719085837 | from collections import defaultdict
def cast(val, regs):
"""if int return int else return char"""
try:
return int(val)
except ValueError as ve:
return regs[val]
def run_cmd(line, regs, idx):
"""run a command"""
try:
cmd, x, y = line.split()
except ValueError as ve:
... | yknot/adventOfCode | 2017/23_01.py | 23_01.py | py | 1,138 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "collections.defaultdict",
"line_number": 37,
"usage_type": "call"
}
] |
26614333632 | import enum
import jsonpatch
import jam
from jam import O
from jam import Q
from jam import exceptions
from jam.schemas import load_schema
from jam.backends.util import load_backend
class Operation(enum.IntEnum):
CREATE = 0
UPDATE = 1
REPLACE = 2
DELETE = 3
SNAPSHOT = 4
RENAME = 5
class Re... | CenterForOpenScience/jamdb | jam/base.py | base.py | py | 8,174 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "enum.IntEnum",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "jam.schemas.load_schema",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "jam.Storage",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "jam.backends.ut... |
74224410343 | import datetime
import logging
import numpy as np
import os
import skimage.io as io
from skimage.exposure import equalize_adapthist
from skimage.filters import gaussian
from skimage.transform import resize
from skimage.color import rgb2lab
from src.data_loader import root_dir, FOLDER_EXPERIMENTS, references_paths, re... | AntoineRouland/ki67 | src/v8_test/optimization.py | optimization.py | py | 7,179 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "src.v8_test.segmentation.segmentation",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "src.v8_test.segmentation.segmentation",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "src.v8_test.segmentation.segmentation",
"line_number": 44,
"u... |
9788698464 |
from langchain.document_loaders import TextLoader
from langchain.text_splitter import CharacterTextSplitter
from langchain.embeddings.openai import OpenAIEmbeddings
from langchain.vectorstores import Pinecone
from langchain import VectorDBQA, OpenAI
from langchain.chains import RetrievalQA
import pinecone
import os
... | ellizzabbetth/intro-into-vector-db | main.py | main.py | py | 1,279 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.environ",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "pinecone.init",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_... |
73403061863 | #!/usr/bin/env python
# _*_ coding: utf-8 _*_
# @Time : 2023/1/13 22:03
# @Author : Rongrui Zhan
# @desc : 本代码未经授权禁止商用
import os.path
import flet
from pdf2image.exceptions import PDFPageCountError
from bonecommand import all_commands
from bonecommand.utils import user_path
from bonecommand.pdf.utils import convert_pd... | zrr1999/BoneCommand | bonecommand/gui.py | gui.py | py | 1,605 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flet.Page",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "flet.MainAxisAlignment",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "flet.Row",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "flet.MainAxisAlig... |
17172274930 | import asyncio
import json
import discord
import requests
from discord.ext import commands
from config.functional_config import check_channels, failure, FAILURE_COLOR, HEADERS, accept, loading, \
SUCCESS_COLOR, GENERAL_COLOR
from config.online_config import server, URL_carta
async def checking(ctx, server_name)... | YarSav1/ForMCObot | cogs/for_all/minecraft/tasks_minecraft/check/check_serv.py | check_serv.py | py | 3,423 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "discord.Embed",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "config.functional_config.GENERAL_COLOR",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "config.online_config.URL_carta",
"line_number": 17,
"usage_type": "name"
},
{
... |
34517047847 | import snap7
from snap7.util import *
from snap7.snap7types import *
s7 = snap7.client.Client()
s7.connect('192.168.14.45', 0, 1)
data = s7.db_read(1, 0, 4)
value = get_real(data, 0)
print(value)
data = bytearray(5)
set_real(data,0, -0.0177002)
data = data[:-1]
print(data)
s7.db_write(1, 0, data)
| AndreasScharf/IotAdapter | sonstiges/s7setvalue.py | s7setvalue.py | py | 300 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "snap7.client.Client",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "snap7.client",
"line_number": 4,
"usage_type": "attribute"
}
] |
30178594395 | from matplotlib import pyplot as plt
from PIL.Image import frombytes
import cv2
import numpy as np
from traceback import print_exc
'''
Toolkit for image process
with the method from cv2,plt,np
个人工具包，对一些需要调用多次函数的
过程打包，主要用于图像的处理和输出，
使用的库为cv2,matplotlib,PIL,numpy
'''
class count_show(object):
def ... | wmillers/coursewarePhotoProcess | toolkit.py | toolkit.py | py | 12,134 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "traceback.print_exc",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 128,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 130,
"usage_type": "call"
},
{
"api_name": "cv2.waitKey",
"line_n... |
6073108961 |
from traits.api import \
HasTraits, List, Array, Property, cached_property, \
Instance, Trait, Button, on_trait_change, \
Int, Float, DelegatesTo, provides, WeakRef, Bool
from ibvpy.mesh.sdomain import \
SDomain
# from ibvpy.view.plot3d.mayavi_util.pipelines import \
# MVPolyData, MVPointLabels
im... | bmcs-group/bmcs_ibvpy | ibvpy/mesh/cell_grid/dof_grid.py | dof_grid.py | py | 12,406 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "ibvpy.mesh.sdomain.SDomain",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "traits.api.Instance",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "cell_grid.CellGrid",
"line_number": 27,
"usage_type": "argument"
},
{
"api_name": ... |
9826643435 | import uvicorn
from fastapi import FastAPI, Response, Depends, Query
from config import META_VERIFY_TOKEN, FASTAPI_HOST, FASTAPI_PORT
from model import Event
from example.api import get_weather_info, get_yelp_info, select_yelp_type, get_yelp_typeIdx
from utils import event_parser, verify_payload
from typing import List... | GaryHo34/SeattleBot | example/example.py | example.py | py | 3,107 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "messenger.MessengerBot",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "fastapi.Query",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "fastapi.Query",
... |
34240292583 | import discord
from discord.ext import commands
import time
intents = discord.Intents.all()
bot = commands.Bot(command_prefix='!', intents=intents)
@bot.event
async def on_ready():
print("Başladı")
@bot.command()
async def send(ctx, *, args=None):
if args != None:
members = ctx.guild.members
... | omergoc/DiscordReklamBotu | app.py | app.py | py | 600 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "discord.Intents.all",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "discord.Intents",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands.Bot",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "discor... |
9366051037 | from sympy import symbols, Matrix, eye, sin, cos, pi, pprint, diff
import math
import sympy as sym
import numpy as np
import matplotlib.pyplot as plt
from functools import partial
from mpl_toolkits.mplot3d import axes3d, Axes3D
Q1, Q2, Q3, Q4, Q5= symbols('coxa femur tibia pitch wheel')
Joint_Angles = [Q1... | HarshShirsath/Robot-Modelling-Project-2-NASA-Athlete-Rover- | FK_athlete.py | FK_athlete.py | py | 1,595 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sympy.symbols",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "functools.partial",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sympy.pi",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "sympy.eye",
"line_number... |
5728396322 | import json
import os
import uuid
import asyncio
from typing import MutableMapping
from aio_pika import Message, connect
from aio_pika.abc import (
AbstractChannel,
AbstractConnection,
AbstractIncomingMessage,
AbstractQueue,
)
class RpcClient:
connection: AbstractConnection
channel: AbstractCh... | PoteeDev/scenario-manager | manager/amqp.py | amqp.py | py | 3,831 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "aio_pika.abc.AbstractConnection",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "aio_pika.abc.AbstractChannel",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "aio_pika.abc.AbstractQueue",
"line_number": 18,
"usage_type": "name"
},
... |
10954038644 | # -*- coding: utf-8 -*-
import wx
from controlador import control_hilo
class entrada ( wx.Frame ):
def __init__( self, parent ):
wx.Frame.__init__ ( self, None , id = wx.ID_ANY, title = wx.EmptyString, pos = wx.DefaultPosition, size = wx.Size( int(parent.resolucion[0]), int(parent.resolucion[1]) ), ... | scfouetsfalceon/Inamba | vista/terminal.py | terminal.py | py | 2,194 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "wx.Frame",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "wx.Frame.__init__",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "wx.Frame",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "wx.ID_ANY",
"line_numb... |
22011646889 | from fgo.interops import *
import random
from functools import reduce
from copy import copy
def click():
return reduce(Compose, [
Wait(Range(0.15, 0.25)),
Left(),
Wait(Range(0.1, 0.2)),
Left(),
Wait(Range(0.3, 0.5))
])
def fix_dpi(origin: Event) -> Event:
@origin.... | thautwarm/do-you-like-wan-you-si | fgo/common.py | common.py | py | 560 | python | en | code | 11 | github-code | 36 | [
{
"api_name": "functools.reduce",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "copy.copy",
"line_number": 21,
"usage_type": "call"
}
] |
35815306473 | from pathlib import Path
import sys
import numpy as np
from collections import defaultdict
import torch
from torch.utils.tensorboard import SummaryWriter
from rl_envs.grid_world_env import GridWorldEnv
from ReplayMemory import *
def print_actions(agent, env, get_optimal = False):
with torch.no_grad():
act... | zhilu1/rl_practice | perform_deep_learning.py | perform_deep_learning.py | py | 3,939 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.no_grad",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.tensor",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.float",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "torch.no_grad",
"line... |
938498832 | import torch
import torch.nn as nn
import torch.nn.functional as F
class GRUEncoder(nn.Module):
def __init__(self, config, gpu_list, *args, **params):
super(GRUEncoder, self).__init__()
self.hidden_size = config.getint("model", "hidden_size")
self.bi = config.getboolean("model", "bi_direc... | china-ai-law-challenge/CAIL2020 | sfks/baseline/model/encoder/GRUEncoder.py | GRUEncoder.py | py | 802 | python | en | code | 150 | github-code | 36 | [
{
"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.GRU",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number"... |
10697052181 | # -*- coding: utf-8 -*-
'''
This code is the implementation of two-phase level set for the following paper:
T. F. Chan and L. A. Vese, "Active contours without edges,"
in IEEE Transactions on Image Processing, vol. 10, no. 2, pp. 266-277, Feb. 2001, doi: 10.1109/83.902291.
Note: level set initialization and parameters... | zzhenggit/level_set_collections | Chan_Vese_model/demo.py | demo.py | py | 1,079 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "skimage.io.imread",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "skimage.transform.resize",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.interp",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.min",
... |
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