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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
7007455362 | import uproot
import os
import pandas as pd
import numpy as np
import awkward
from tqdm import tqdm
def extract_scalar_data(events, branches, entrystop=None, progressbar=False):
data = {}
data["event"] = events.array("event", entrystop=entrystop)
for br in tqdm(branches, disable=not progressbar):
... | guitargeek/geeksw | geeksw/nanoaod/nanoaod_to_parquet.py | nanoaod_to_parquet.py | py | 4,687 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "tqdm.tqdm",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "awkward.JaggedArray",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"lin... |
70835864959 | # 取消任务
import schedule
i = 0
def some_task():
global i
i += 1
print(i)
if i == 10:
schedule.cancel_job(job)
print('cancel job')
exit(0)
job = schedule.every().second.do(some_task)
while True:
schedule.run_pending()
| csstrong/python | python3学习笔记/定时任务/5-5.schedule测试5.py | 5-5.schedule测试5.py | py | 273 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "schedule.cancel_job",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "schedule.every",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "schedule.run_pending",
"line_number": 20,
"usage_type": "call"
}
] |
8484494010 |
from django.db import transaction
from django.utils.translation import ugettext, ugettext_lazy as _
from django import forms
from gf.gas.forms.order.plan import AddPlannedOrderForm
from gf.gas.forms.order.base import AddOrderForm
from gf.gas.models import GAS, GASSupplierOrder, GASSupplierSolidalPact
import logging... | befair/gasistafelice | gasistafelice/gf/gas/forms/order/intergas.py | intergas.py | py | 6,402 | python | en | code | 11 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "gf.gas.forms.order.base.AddOrderForm",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "django.forms.BooleanField",
"line_number": 24,
"usage_type": "call"
},
{
"... |
20935078308 | from rich.console import Console
from gallow import gallow_frames
from ending import game_over
from the_word import word
c = Console()
def make_gallow(wrong_guesses):
c.print(gallow_frames[wrong_guesses], style="white")
def enter_word():
return input("Enter Word: ").upper()
def display_guesses(word, gue... | vetlemt/hangman | main.py | main.py | py | 2,007 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "rich.console.Console",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "gallow.gallow_frames",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "the_word.word",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "the_word.word"... |
43313196343 | from typing import Any
import database
import models
import repos.queries
def one_of(**params) -> models.Question | None:
"""
Get models.Question object from database by "specifiers" params
Arguments:
**params: specifiers, if it needs to perform data filtering
"""
specifiers = " ".join(p... | rmksrv/the_ultimate_flask_course_projects | question_answer/repos/question.py | question.py | py | 5,355 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "models.Question",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "repos.queries.queries.select_query",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "repos.queries.queries",
"line_number": 20,
"usage_type": "attribute"
},
{
... |
35449013581 | import pprint
from typing import Dict
from pydantic import BaseModel, Field
from kubernetes import client
class InputSchema(BaseModel):
namespace: str = Field(
title='Namespace',
description='Kubernetes namespace')
pod_name: str = Field(
title='Pod',
description='Name of the po... | unskript/Awesome-CloudOps-Automation | Kubernetes/legos/k8s_get_pod_status/k8s_get_pod_status.py | k8s_get_pod_status.py | py | 1,607 | python | en | code | 258 | github-code | 97 | [
{
"api_name": "pydantic.BaseModel",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "pydantic.Field",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pydantic.Field",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pprint.pprint",
"l... |
5360303761 | from functools import wraps
from pycompss.util.context import CONTEXT
from pycompss.api.commons.constants import INTERNAL_LABELS
from pycompss.api.commons.constants import LABELS
from pycompss.api.commons.constants import LEGACY_LABELS
from pycompss.api.commons.decorator import CORE_ELEMENT_KEY
from pycompss.api.commo... | bsc-wdc/compss | compss/programming_model/bindings/python/src/pycompss/api/decaf.py | decaf.py | py | 7,206 | python | en | code | 39 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pycompss.api.commons.constants.LABELS.df_script",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "pycompss.api.commons.constants.LABELS",
"line_number": 24,
"usage_... |
30182916252 | import argparse
import os
import copy
import logging
import torch
from torch.distributed.distributed_c10d import _get_default_group
from torch.distributed.utils import _sync_module_states
from torchvision.models import resnet18
from pippy.IR import Pipe
from pippy import split_into_equal_size
from easydist import e... | alibaba/easydist | examples/torch/pipeline_parallelism/resnet.py | resnet.py | py | 4,863 | python | en | code | 51 | github-code | 97 | [
{
"api_name": "torch.distributed.utils._sync_module_states",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torch.distributed.distributed_c10d._get_default_group",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.device",
"line_number": 30,
"usag... |
23567576786 | import sys
from time import sleep
from common.db_utils import (
ConnFactory,
)
from common.orm.repository import PoktInfoRepository
from common.utils import get_last_block_height
from rewards_calc import run_rewards, record_rewards, SERVICE_CLASS
SAVE_STATE = True
if __name__ == "__main__":
mode = str(sys.a... | thunderhead-labs/chain_service | run_rewards.py | run_rewards.py | py | 2,012 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sys.argv",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "rewards_calc.run_rewards",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "common.db_utils.... |
23842462557 | import numpy as np
from sklearn.metrics import confusion_matrix, precision_recall_fscore_support, \
accuracy_score
def zip_data(data, target):
return {study: (data[study], target[study]) for study in data}
def unzip_data(data):
return {study: data[study][0] for study in data}, \
{study: data[... | arthurmensch/cogspaces | cogspaces/utils.py | utils.py | py | 3,538 | python | en | code | 33 | github-code | 97 | [
{
"api_name": "sklearn.metrics.accuracy_score",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.precision_recall_fscore_support",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.confusion_matrix",
"line_number": 35,
"usa... |
29186048028 | # basic
import argparse
import os,datetime
# data input
import pandas as pd
import numpy as np
import scipy.sparse
import pickle
# metric and loss function
import tensorflow as tf
import tensorflow.keras.backend as K
from tensorflow.keras.metrics import categorical_accuracy, binary_accuracy, top_k_categorical_accuracy... | angelahahaa/xmtc | tools/model_func.py | model_func.py | py | 15,458 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "numpy.load",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number"... |
32218581863 | import cv2
import numpy as np
face_classifier = cv2.CascadeClassifier("haar_face.xml")
def face_extractor(img):
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
face = face_classifier.detectMultiScale(gray,1.3,5)
if len(face) == 0:
return None
for(x,y,w,h) in face:
... | BhagatTushar/Codsoft_AI_Task | FaceDetection/dataset.py | dataset.py | py | 1,303 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "cv2.CascadeClassifier",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "cv2.VideoCapt... |
41947101367 | import sys
import cv2
from PyQt5 import uic, QtGui
from PyQt5.QtCore import QTimer
from PyQt5.QtGui import QImage
from PyQt5.QtWidgets import QApplication, QMainWindow, QFileDialog
import NS, BDview
from BDview import Ui_MainWindow
class MyProject(QMainWindow):
def __init__(self):
super().__init__()
... | Dinislamg1/QTT | GoVideo.py | GoVideo.py | py | 2,697 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "PyQt5.uic.loadUi",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "PyQt5.uic",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.Q... |
1663608923 | #!/usr/bin/python3
# -*- coding:utf-8 -*-
import requests
from flask import Flask, request, jsonify, make_response
from flask_restx import Api, Resource, fields
from werkzeug.middleware.proxy_fix import ProxyFix
app = Flask(__name__)
app.wsgi_app = ProxyFix(app.wsgi_app)
api = Api(app, version='1.0', title='RPA机器人API'
... | yuanhai11/spider | incomeTaxFiling/QG-tax/TaskSchedule/BeforeSchedule/xsapi.py | xsapi.py | py | 2,456 | python | en | code | 4 | github-code | 97 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "werkzeug.middleware.proxy_fix.ProxyFix",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask_restx.Api",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask... |
73922750720 | import os
os.environ['http_proxy'] = 'http://192.41.170.23:3128'
os.environ['https_proxy'] = 'http://192.41.170.23:3128'
import torchtext
import torch
from torch import nn
import math
import numpy as np
import torch.optim as optim
# device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')
device = 'cud... | sitiporn/bert- | bert.py | bert.py | py | 1,889 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.environ",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "transformers.BertTokenizer.from_pretrained",
"line_number": 27,
"usage_type": "call"
},
{
"api_name... |
38275765157 | # -*- mode: python -*-
import utils
from build import build_app
Import('env')
target = 'reconstructPar'
sources = Split("""
reconstructPar.cpp
""")
caelus_inc = [
'lagrangian/basic/lnInclude',
'parallel/reconstruct/reconstruct/lnInclude',
'regionModels/regionModel/lnInclude',
'dynamicMesh/dynamicMesh/lnInclude'
]
... | egelja/caelus-cml | src/applications/utilities/parallelProcessing/reconstructPar/SConscript | SConscript | 717 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "utils.ostype",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "build.build_app",
"line_number": 35,
"usage_type": "call"
}
] | |
74298255039 | from my_utils.tests import test_and_solve
import re
from collections import deque
DAY_NR = 17
FMT1 = re.compile("x=(\d+), y=(\d+)..(\d+)")
FMT2 = re.compile("y=(\d+), x=(\d+)..(\d+)")
def parse_line(line):
match = FMT1.match(line)
if match:
x1_start, x0_start, x0_end = match.groups()
x1_end ... | JamesOwers/aoc2018 | day_17.py | day_17.py | py | 6,575 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "re.compile",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 93,
"usage_type": "call"
},
{
"api_name": "my_utils.tests.test_and_solve",... |
5130187748 | import json
import os
import subprocess
from datetime import datetime
import requests
from hachoir.metadata import extractMetadata
from hachoir.parser import createParser
from telethon.tl.types import DocumentAttributeVideo
from userbot import LOGS, HELPER
from userbot.events import register
TEMP_DOWNLOAD_DIRECTORY ... | shivamkchoudhary/Maximus | userbot/modules/download.py | download.py | py | 13,491 | python | en | code | 6 | github-code | 97 | [
{
"api_name": "os.environ.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "userbot.LOGS.info",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "userbot.LOGS",
"... |
21372848913 | import streamlit as st
from fpdf import FPDF
import time
class PDF(FPDF):
def header(self):
today = time.strftime("%d/%m/%Y")
# First row
self.set_font('Arial', '', 8)
self.cell(63, 10, 'Envio:', 1, 0, 'C')
self.set_font('Arial', 'B', 15)
self.cell(63, 10, 'Remito "X"', 1, 0, 'C')
self.s... | imjuangarcia/hg-product-list | steps/step4.py | step4.py | py | 3,158 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "fpdf.FPDF",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "time.strftime",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "streamlit.session_state",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "streamlit.session_... |
11887050 | from game_data import rooms
from lib.models.game_state import GameState
from lib.models.player import Player
class Commands(object):
def __init__(self, game_state: GameState):
self.game_state = game_state
# The register_command decorator was nicer, but it's harder to do inside a class
# w... | fado/PyMUD | lib/command.py | command.py | py | 4,750 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "lib.models.game_state.GameState",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "lib.models.player.Player",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "lib.models.player.Player",
"line_number": 34,
"usage_type": "name"
},
{
"... |
869276136 | # Exer-11-Managing-a-context-using-the-with-statement
import csv
import pathlib
some_source = [[2,3,5], [7,11,13], [17,19,23]]
target_path = pathlib.Path('code/test.csv')
with target_path.open('w', newline='') as target_file:
writer = csv.writer(target_file)
writer.writerow(['column', 'data', 'headings'])
... | nihathalici/Modern-Python-Cookbook | CHPT-02-Statements-and-Syntax/Exer-11-Managing-a-context-using-the-with-statement.py | Exer-11-Managing-a-context-using-the-with-statement.py | py | 843 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "pathlib.Path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 21... |
11049694072 | from flask_wtf import FlaskForm
from wtforms import StringField
from wtforms.validators import InputRequired, Length, Regexp, Email
LETTERS_REGEXP = r'^[A-Za-ząćęłńóśźżĄĆĘŁŃÓŚŹŻ]+$'
PH_NUM_MESS = 'Number should look like YYXXXXXXXXX,' \
' where YYYY is the dialing code e.g. 0048 for Poland, and X’s are ... | WSokoll/HotelBD | app/forms/employee.py | employee.py | py | 975 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask_wtf.FlaskForm",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "wtforms.StringField",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "wtforms.validators.InputRequired",
"line_number": 13,
"usage_type": "call"
},
{
"api_name... |
2702422366 | import math
from django.db import models
from django.contrib.auth.models import AbstractUser
from django.contrib.auth.models import UserManager
from django.db.models.expressions import RawSQL
from decimal import Decimal
from .utils import get_unical_name
class LocationManager(UserManager):
def get_nearby(self, la... | shhamil/dating_chat | dating_chat/models.py | models.py | py | 1,875 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.contrib.auth.models.UserManager",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "decimal.Decimal",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "decimal.Decimal",
"line_number": 14,
"usage_type": "call"
},
{
"api_name":... |
35669765788 | import os
import random
import shutil
import sys
sys.path.append(os.path.abspath(os.path.join(__file__, "../dfmlmd", "..")))
import torch
import torch.nn as nn
from tool import dataset_classnum,construct_model_pool
from tensorboardX import SummaryWriter
from tool import set_maml, get_model, data2supportquery, bias... | Egg-Hu/PURER-Plus | method/purer.py | purer.py | py | 25,036 | python | en | code | 3 | 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": "os.path.abspath",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
38610804605 | import itertools as it
import math
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sns
from sklearn.feature_selection import SelectFromModel
from sklearn.linear_model import LogisticRegression
from sklearn.preprocessing import (
PolynomialFeatures,
StandardScaler,
)
fro... | mpjuers/AlgaeStats | Analysis/MiscScripts/lasso2.py | lasso2.py | py | 6,635 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pandas.read_csv",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.LogisticRegression",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.empty",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "s... |
74777915840 | from django.conf import settings
from django.conf.urls import url
from django.conf.urls.static import static
from . import views
urlpatterns = [
url('^$', views.index, name='index'),
url(r'^profile/(\d+)', views.profile, name='profile'),
url(r'^business/', views.business, name='business'),
url(r'^post/... | GabrielSpear/NeighbourhoodWatch | hood/urls.py | urls.py | py | 713 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.co... |
33486252390 | #!/usr/bin/python3
# -*-coding:utf-8 -*-
#Reference:**********************************************
# @Time : 2019/10/3 2:28 下午
# @Author : baozhiqiang
# @File : 763best.py
# @User : bao
# @Software: PyCharm
'''
思路：
1 统计每个元素出现的次数。
2 然后遍历数组，每到一个元素，除了执行正常的-1，还要统计当前是否
所有的元素... | 15779235038/algorithm | all_algorithm/greedy/algorithm763/763best.py | 763best.py | py | 1,530 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "collections.defaultdict",
"line_number": 31,
"usage_type": "call"
}
] |
33322272728 | from django.db import models
from django.contrib.auth.models import User
# Create your models here.
class Profile(models.Model):
user = models.OneToOneField(User, on_delete=models.CASCADE)
profile_pic = models.ImageField(
null=True, editable=True, default="blank-profile-picture.webp"
)
gend... | gcivil-nyu-org/NYU-Marketplace | users/models.py | models.py | py | 788 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "django.db.models.Model",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.models.OneToOneField",
"line_number": 8,
"usage_type": "call"
},
{
"api_name... |
24312362509 | from __future__ import print_function
from numpy import array as Vector
from collections import namedtuple
from .vector_ops import *
from .kpclasses import Bead,chainDeepCopy
from .writer import *
from .reader import *
from .config import EPSILON,VERBOSE
from knot_pull.finder import find_frame
def too_far(p1 ,p2 ,p3... | dzarmola/knot_pull | knot_pull/bipuller.py | bipuller.py | py | 36,736 | python | en | code | 7 | github-code | 97 | [
{
"api_name": "kpclasses.Bead",
"line_number": 171,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 171,
"usage_type": "call"
},
{
"api_name": "kpclasses.Bead",
"line_number": 188,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_... |
16702239534 | import os
import socket
import zlib
from threading import Thread, Condition
from random import choices
from typing import Tuple
from protocol import apply_protocol, handle_switch, handle_fin, finish_con, req_switch
from protocol import calculate_checksum
def handle_syn(client_addr: Tuple[str, int], sock... | xkokin/Python_Messenger | server.py | server.py | py | 13,548 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "typing.Tuple",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "random.choices",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "protocol.apply_protocol",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "socket.timeout",
... |
13178934057 | from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
import json
import os
CONFIG_PATH = "config.json" # is defined a second time in main.py
if os.environ.get("DATABASE_URL") == None:
with open(CONFIG_PATH) as fp:
config = jso... | dominikpegler/react-psiz-collect | backend/database.py | database.py | py | 645 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.environ.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_num... |
10202416741 | from setuptools import setup
exec(open("perceiver/version.py").read())
with open("README.md", "r", encoding="utf8") as fh:
long_description = fh.read()
setup(
name="perceiver",
version="0.1.2",
description="Implement of Perceiver, General Perception with Iterative Attention in TensorFlow",
packag... | Rishit-dagli/Perceiver | setup.py | setup.py | py | 1,711 | python | en | code | 85 | github-code | 97 | [
{
"api_name": "setuptools.setup",
"line_number": 8,
"usage_type": "call"
}
] |
74911487679 | # -*- coding: utf-8 -*-
"""
Created on Tue Mar 14 09:00:09 2023
@author: Urmi
"""
# -*- coding: utf-8 -*-
"""
Created on Mon May 16 14:45:49 2022
@author: Urmi
"""
#Input files:
#dataset: Data_0 to Data_7 in folder "Dataset", based on the output of Kmeans.py
#stratified random sampling is d one on th... | ZJUEarthData/Sulide | linear and ensemble tree SCSS models/SCSS_predict.py | SCSS_predict.py | py | 15,539 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "numpy.random.seed",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "sklearn.preprocessing.PolynomialFeatures",
"line_number": 45,
"usage_type": "call"
},
{
"api_... |
17967187781 | import logging
import os
import sys
import uuid
from . import containerize
from . import deploy
from . import docker_config as docker_config_module
from . import machine_config
from . import preprocess
from . import validate
from tensorflow_cloud.utils import google_api_client
logger = logging.getLogger(__name__)
d... | tensorflow/cloud | src/python/tensorflow_cloud/core/run.py | run.py | py | 14,383 | python | en | code | 360 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "uuid.uuid4",
"li... |
18148004243 | # com8 ペリフェラルコード
import ujson
import bluetooth
import random
import struct
import time
import binascii
from BLE_advertising import advertising_payload
import get
import info
import json
from micropython import const
# BLEイベントの定数
_IRQ_CENTRAL_CONNECT = const(1)
_IRQ_CENTRAL_DISCONNECT = const(2)
_IRQ_GATTS_INDICATE_D... | Fel615/IoTDojo_fri2nd | BLE/senser_dev/senddistance_peripheral.py | senddistance_peripheral.py | py | 6,053 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "micropython.const",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "micropython.const",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "micropython.const",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "micropython.con... |
4000589461 | import disnake
import requests
from random import choice
from io import BytesIO
from disnake.ext import commands
from resources.check import check_it
from resources.db import Database
from PIL import Image, ImageDraw, ImageOps
class Booket(commands.Cog):
def __init__(self, bot):
self.bot = bot
@chec... | D3NKYT0/ashley_home | commands/member/booket.py | booket.py | py | 8,681 | python | pt | code | 2 | github-code | 97 | [
{
"api_name": "disnake.ext.commands.Cog",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "disnake.ext.commands",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "disnake.Member",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name":... |
74841241597 | # -*- coding: utf-8 -*-
"""
Created on Thu Feb 11 09:40:34 2021
@author: Grant
"""
import random
import math
import numpy
import statistics
def chunks(l, n):
n = max(1, n)
return (l[i:i+n] for i in range(0, len(l), n))
n = 15
m = 10
x = [1, 3, 5, 11, 15, 21, 18, 19, 5, 8, 23, 35, 9, 16, ... | YukunGrantZhang/Big-Data-Algorithms | Indyk's Algorithm.py | Indyk's Algorithm.py | py | 932 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "random.uniform",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "math.pi",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "random.uniform",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "math.sin",
"line_numbe... |
38244784461 | """Command-line (script) interface to instapy"""
import argparse
import sys
import numpy as np
from PIL import Image
import instapy
from . import get_filter, io
def run_filter(
file: str,
out_file: str = None,
implementation: str = "python",
filter: str = "color2gray",
scale: int = 1,
) -> None... | annica1910/Programming-in-a-high-level-language | assignment3/instapy/cli.py | cli.py | py | 1,804 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "numpy.resize",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 44,
"usage_type": "call"
}
] |
5002923814 | from django import forms
from ELLIMS import settings
from .models import *
class SampleForm(forms.ModelForm):
#setup the datepicker input and display date formates
received = forms.DateField(
widget=forms.DateInput(format=settings.DATE_INPUT_FORMATS[0]),
input_formats=(settings.DATE_INPUT_FORMATS[0... | matt-quantblack/lims | eldashboard/forms.py | forms.py | py | 1,770 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.forms.DateField",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.f... |
7009997413 | import asyncio
from fivem.bot import FiveMBot
import logging
import config
formatter = logging.Formatter(
fmt="[%(asctime)s] %(levelname)s [%(name)s.%(funcName)s:%(lineno)d] %(message)s"
)
logger = logging.getLogger()
logger.setLevel(logging.INFO)
file_handler = logging.FileHandler("bot.log")
file_handler.setFor... | jaymart95/FiveM-Analtyics | src/launcher.py | launcher.py | py | 726 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "logging.Formatter",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "logging.FileHand... |
74300267197 | from os import environ
from typing import List, Optional
import mysql.connector
from mysql.connector import MySQLConnection
def get_db_connection() -> MySQLConnection:
"""
Инициализация соединения с базой данных (параметры берутся из переменных окружения + см. файл .env)
"""
return mysql.connector.co... | itlat-mysql/mysql-basics-python | dao.py | dao.py | py | 6,955 | python | ru | code | 0 | github-code | 97 | [
{
"api_name": "mysql.connector.connector.connect",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "mysql.connector.connector",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "mysql.connector",
"line_number": 12,
"usage_type": "name"
},
{
"... |
41453523973 | import torch
from src.VAE import *
from src.filter_bank import *
class ISVAE(nn.Module):
def __init__(self, x_dim, z_dim, number_f, filter_w, psd, version):
super(ISVAE, self).__init__()
self.number_f = number_f
self.filter_w = filter_w
self.x_dim = x_dim
self.z_dim = z_di... | Oscarm96/ISVAE-git | src/ISVAE.py | ISVAE.py | py | 1,525 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "torch.cat",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.arange",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "torch.exp",
"line_number": 33,
"usage_type": "call"
}
] |
35582878783 | import os
from itertools import product
import numpy as np
import numpy.testing as npt
import pytest
from pymatgen.core.composition import Composition
from smol.cofe.space.domain import SiteSpace
from smol.moca import SampleContainer
from smol.moca.sublattice import Sublattice
from smol.moca.trace import Trace
from t... | CederGroupHub/smol | tests/test_moca/test_container.py | test_container.py | py | 15,795 | python | en | code | 48 | github-code | 97 | [
{
"api_name": "smol.moca.trace.Trace",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_... |
2342782767 | import random
import pytest
import pandas as pd
@pytest.fixture()
def data():
entries = []
for art_no in range(1, 26):
for date_of_day in pd.date_range('2018-01-01', '2020-01-01', freq='w'):
entry = {
'art_no': art_no,
'art_name': f"article {art_no}",
... | greyxray/demand-prediction | tests/conftest.py | conftest.py | py | 1,425 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pandas.date_range",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "random.uniform",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "random.uniform",
... |
882465156 |
from flask_app import app
from flask import render_template, redirect, request, session,flash
from flask_app.models.customer import Customer
from flask_app.models.user import User
@app.route ('/new/customer')
def new_customer():
if 'users_id' not in session:
return redirect ('/logout')
... | EdSenecal/Customer-Corral | CustomerCorral/flask_app/controllers/customers.py | customers.py | py | 2,660 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask.session",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "flask.redirect",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.session",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "flask.render_template",
... |
74892231998 | import copy
import pandas as pd
import logging
from . import DataCache
class MonetaryTimeSeries(object):
"""
A super abstract class to make concrete CurrencyConverts and MarketIndexes that
efficiently and transparently work with DataCache class, in multi-threading context,
with lazy data loading.
... | avibrazil/investor | investor/monetary_time_series.py | monetary_time_series.py | py | 9,454 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pandas.merge_asof",
"line_number": 260,
"usage_type": "call"
},
{
"api_name": "pandas.merge_asof",
"line_number": 266,
"usage_type": "call"
}
] |
23023868692 | from django.template import Context, loader
from game.models import Game
from django.shortcuts import render_to_response
mobile_uas = [
'w3c ','acs-','alav','alca','amoi','audi','avan','benq','bird','blac',
'blaz','brew','cell','cldc','cmd-','dang','doco','eric','hipt','inno',
'ipaq','java','jigs','kddi','keji','le... | mhangman/Gralab | homepage/views.py | views.py | py | 1,573 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "game.models.Game.objects.filter",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "game.models.Game.objects",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "game.models.Game",
"line_number": 35,
"usage_type": "name"
},
{
"ap... |
24428495197 | from collections import deque
def BFS():
while location:
x,y = location.popleft()
for i in range(4):
pre_x = x + dx[i]
pre_y = y + dy[i]
if 0 <= pre_x < M and 0 <= pre_y < N and maze[pre_y][pre_x] == 1:
maze[pre_y][pre_x] = maze[y][x] + 1
... | yooonwodyd/justcode | 백준/Silver/2178. 미로 탐색/미로 탐색.py | 미로 탐색.py | py | 578 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "collections.deque",
"line_number": 23,
"usage_type": "call"
}
] |
5050900002 | #Author:Guan Jiajun
import pymysql
conn = pymysql.connect(host = '127.0.0.1',user ='root',password = 'root',port = 3306,
charset = 'utf8mb4',cursorclass = pymysql.cursors.DictCursor)
cursor = conn.cursor()
try:
sql1 = "CREATE DATABASE bigz_order"
cursor.execute(sql1)
sql2 = "USE bigz_order"
curs... | jamespotato/Mysql-project | Guanjiajun/original.py | original.py | py | 5,854 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pymysql.connect",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pymysql.cursors",
"line_number": 7,
"usage_type": "attribute"
}
] |
185133849 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# @Date : 2020/7/31
# @Author : zhangranghan
import os, sys
import time
from copy import copy
from string import Template
import pytest
from config.conf import set_run_env_and_system_type
from tool.DingDingMsg import DingDingMsg
"""
pytest 命令中加入 '-n 数字'可实现分布式执行测试... | wenyan808/auto-test | run.py | run.py | py | 5,374 | python | zh | code | 0 | github-code | 97 | [
{
"api_name": "config.conf.set_run_env_and_system_type",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "copy.copy",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "pytest.main",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "config.... |
37805224929 | # arrays
import numpy as np
import pandas as pd
# plotting
import matplotlib as mpl
from matplotlib import pyplot as plt
from mpl_toolkits.axes_grid1.axes_divider import make_axes_locatable
import cartopy.crs as ccrs
import cartopy.feature as cfeature
import cmocean
# from pandas.plotting import register_matplotlib_co... | javitausia/CalValWaves | calval/calval.py | calval.py | py | 34,616 | python | en | code | 6 | github-code | 97 | [
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 70,
"usage_type": "name"
},
{
"api_name": "cartopy.crs.PlateCarree",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "... |
42311488714 | #!/usr/bin/python3
from daemon import DaemonContext
from lockfile import FileLock
import time
import logging
from mqtt2serial import main
class MqttApp(object):
def __init__(self):
self.pidfile_path = '/var/run/mqtt2seriald.pid'
self.pidfile_timeout = 10
def run(self):
logging.basicCon... | sengels/mqtt2serial | mqtt2seriald.py | mqtt2seriald.py | py | 901 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "logging.basicConfig",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "logging.info",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.info",
... |
71411899518 | from pyspark.ml import Pipeline
from pyspark.ml.classification import RandomForestClassifier as RF
from pyspark.ml.feature import StringIndexer, VectorIndexer, VectorAssembler, SQLTransformer
from pyspark.ml.evaluation import MulticlassClassificationEvaluator, BinaryClassificationEvaluator
from pyspark.ml.tuning import... | tryouge/Data-Cleaning-Library-Pyspark | getOutliers.py | getOutliers.py | py | 1,839 | python | en | code | 8 | github-code | 97 | [
{
"api_name": "pyspark.ml.feature.StringIndexer",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pyspark.ml.feature.OneHotEncoder",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pyspark.ml.feature.VectorAssembler",
"line_number": 29,
"usage_type": "... |
43569400045 | #!/usr/bin/python
#-*- coding: utf-8 -*-
from flask import request, jsonify
import base, api
@base.web_app.app.route('/api/transceiver/<key>/', methods=['GET', 'PUT'])
@base.web_app.auth.login_required
def transceiver_mgr_CURD(key):
if request.method == 'GET':
resp = api.transceiver.get(key)
... | bonald/vim_cfg | osp_sai_2.1.8/system/apps/web/urls/transceiver.py | transceiver.py | py | 455 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask.request.method",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "api.transceiver.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "api.trans... |
6100392706 | # 수열정렬
n = int(input())
arr = list(map(int, input().split()))
visited = [0] * n;
list = sorted(arr)
for i in range(n):
x = list.index(arr[i])
print(x + visited[x], end=" ")
visited[x] += 1
#회전하는 큐
from collections import deque
N, M = map(int, input().split())
queue = deque()
arr = deque(list(map(int, input... | gunhee27/programming_python | 202212/1205-1211.py | 1205-1211.py | py | 5,402 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "collections.deque",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 121,
"usage_type": "attribute"
},
{
"api_name": "sys.setrecursionl... |
8974122392 | """
Configuration for running OPRE OPS in cloud.gov.
"""
import os
import json
import cfenv
# Import all common settings relevant to both local & cloud:
from opre_ops.settings.common import *
# Import helper to generate a random string for our local secret key:
from opre_ops.settings.helpers.random_string import gener... | 18F/OPRE-OPS | opre_ops/opre_ops/settings/cloudgov.py | cloudgov.py | py | 1,607 | python | en | code | null | github-code | 97 | [
{
"api_name": "cfenv.AppEnv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "opre_ops.settings.helpers.random_st... |
30939963029 | import os
import numpy as np
from matplotlib import pyplot as plt
from scipy.stats import gamma
import matplotlib
matplotlib.rcParams['pdf.fonttype'] = 42
matplotlib.rcParams['ps.fonttype'] = 42
from matplotlib import pyplot as plt
disttype = 'general-gaussian'
model = 'consistency-cifar-1530-0.50.pth'
k = '1530'... | llylly/DSRS | ablation/param_fitting.py | param_fitting.py | py | 3,151 | python | en | code | 7 | github-code | 97 | [
{
"api_name": "matplotlib.rcParams",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.rcParams",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "os.path... |
25519717903 | import pygame,random
from pygame.locals import *
pygame.init()
noir=(0,0,0)
blanc=(0xFF, 0xFF, 0xFF)
bleuClair = (18,158,158)
font = pygame.font.SysFont('Calibri', 25, True, False)
text_attaque = font.render("attaque",True,noir)
text_potion = font.render("potion",True,noir)
text_fuite = font.render("fuite",True,noir)
... | pacs-men/-PacsMen- | Jeu/Jeu Pac s Men/combat/new combat.py | new combat.py | py | 1,754 | python | fr | code | 5 | github-code | 97 | [
{
"api_name": "pygame.init",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "pygame.font.SysFont",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pygame.font",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pygame.image.load",
... |
10841149126 | from copy import copy
import numpy as np
import os
import pickle as pkl
import networkx as nx
import scipy.sparse as sp
from scipy.sparse.linalg.eigen.arpack import eigsh
from sklearn import preprocessing
import sys
def parse_index_file(filename):
"""Parse index file."""
index = []
for line in open(filena... | fulifeng/GraphAT | my_utils.py | my_utils.py | py | 16,789 | python | en | code | 21 | github-code | 97 | [
{
"api_name": "numpy.zeros",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.bool",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "numpy.savez",
"line_numbe... |
15516476775 | """ Defines 'types' that various fields can be """
from typing import Tuple, Union
# Literal only available in python 3.8 + so try import otherwise use extensions
try:
from typing import Literal
except ImportError:
from typing_extensions import Literal
from typing_extensions import Annotated
import pydantic
... | SiEPIC/SiEPIC-Tools | klayout_dot_config/python/SiEPIC/tidy3d/tidy3d/components/types.py | types.py | py | 5,135 | python | en | code | 149 | github-code | 97 | [
{
"api_name": "typing_extensions.Annotated",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "pydantic.Field",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.ndarray",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "numpy.n... |
70735299839 | import json
from random import shuffle, randrange
from django.contrib import messages
from django.contrib.auth.decorators import login_required
from django.core.urlresolvers import reverse
from django.http import HttpResponse, HttpResponseRedirect
# Create your views here.
from django.shortcuts import render_to_resp... | cypreess/PyrateDice | game_server/game_server/board/views.py | views.py | py | 3,391 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.http.HttpResponse",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.decorators.login_required",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "django.http.HttpResponse",
"line_number": 26,
"usage_type": "call"... |
4486780060 | from sklearn.decomposition import PCA
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import os
plot = False
df_fname = r"E:\nanopores\2023_02_20\ch1\pore2\data3\f1.pkl"
root = os.path.dirname(df_fname)
name,ext = os.path.splitext(os.path.basename(df_fname))
df = pd.read_pickle(df_fname)
dfIn... | maxearle/filter | tool_scripts/pca.py | pca.py | py | 983 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.path.dirname",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path.splitext",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_num... |
27086451915 | from keras.layers import Conv2D
from keras.layers import Input
from keras.layers import MaxPooling2D, UpSampling2D
from keras.models import Model
from keras.datasets.mnist import load_data
from numpy import reshape
import matplotlib.pyplot as plt
from keras.callbacks import ModelCheckpoint
import numpy as np
(xtrain0,... | psorus/anogen | not_so_weird/cae/train.py | train.py | py | 2,421 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "keras.datasets.mnist.load_data",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.reshape",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.where"... |
18457698560 | from torch.utils.data import Dataset, DataLoader
from torchvision import transforms
import torch
import matplotlib.pyplot as plt
import numpy as np
from PIL import Image
import os
from os.path import join
from os import listdir
import pandas as pd
from mask_functions import read_dicom, mask2rle, rle2mask
from collecti... | PRCinguhou/kaggle-siim-dataset | LoadData.py | LoadData.py | py | 2,521 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "torchvision.transforms.Compose",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "torchvision.transforms.ToPILImage",
"line_number": 18,
"usage_type": "call"
},
... |
42453219515 | import json
import logging
import os
import re
from typing import Any, Dict, List, Optional, Tuple, Union
from neural_compressor.ux.utils.exceptions import InternalException
from neural_compressor.ux.utils.json_serializer import JsonSerializer
from neural_compressor.ux.utils.logger import log
from neural_compressor.ux... | mlcommons/inference_results_v2.1 | closed/Inspur/code/code_br/code/resnet50/modelProcess/inference_calibration/neural-compressor/neural_compressor/ux/utils/workload/workloads_list.py | workloads_list.py | py | 12,763 | python | en | code | 19 | github-code | 97 | [
{
"api_name": "logging.basicConfig",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "neural_compressor.ux.utils.json_serializer.JsonSerializer",
"line_number": 16,
"usage_type": "name"... |
37979970064 |
import os
from dotenv import load_dotenv
#from datetime import date
from app import APP_ENV
# web_app/routes/pokemon_routess.py
from flask import Blueprint, jsonify, request, render_template, redirect, flash
pokemon_routes = Blueprint("pokemon_routes", __name__)
@pokemon_routess.route("/api/pokemons")
@pok... | stacyche/final-project | app/pokemon.py | pokemon.py | py | 1,041 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask.Blueprint",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"line_number": 35,
"usage_type": "call"
}
] |
35636818614 | from auth.login import Login
# Criar uma instância da classe Login
login = Login()
# Verificar se a sessão já existe em um arquivo
session_file = 'session.pkl'
try:
session = login.load_session(session_file)
print("Sessão carregada do arquivo.")
except FileNotFoundError:
# Obter uma nova sessão
status... | raianb-dev/botflix | Backend/session.py | session.py | py | 532 | python | pt | code | 0 | github-code | 97 | [
{
"api_name": "auth.login.Login",
"line_number": 4,
"usage_type": "call"
}
] |
5826152541 | # -*- coding: utf-8 -*-
"""
Created on Wed Feb 20 15:29:19 2019
@author: Ham
Task from HackerRank
Given a string , which is the company name in lowercase letters,
your task is to find the top three most common characters in the string.
Print the three most common characters along with their occurrence coun... | Hamng/hamnguyen-sources | python/most_common_3.py | most_common_3.py | py | 1,898 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "collections.Counter",
"line_number": 58,
"usage_type": "call"
}
] |
33938965933 | import pandas as pd
import numpy as np
from sklearn.preprocessing import MinMaxScaler
from sklearn.model_selection import train_test_split
from sklearn.model_selection import StratifiedKFold
import matplotlib.pyplot as plt
import timeit
import modeldata as md
starting_time = timeit.default_timer()
df = pd.read_cs... | OngMinXian/zb4171-kazoo | machine_learning/xgboost_10fcv_modelSelection.py | xgboost_10fcv_modelSelection.py | py | 2,380 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "timeit.default_timer",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "sklearn.model_se... |
40451622764 | import logging
import pytest
from mindarmour.utils.logger import LogUtil
@pytest.mark.level0
@pytest.mark.platform_arm_ascend_training
@pytest.mark.platform_x86_ascend_training
@pytest.mark.env_card
@pytest.mark.component_mindarmour
def test_logger():
logger = LogUtil.get_instance()
tag = 'Test'
msg = 'i... | mindspore-ai/mindarmour | tests/ut/python/utils/test_log_util.py | test_log_util.py | py | 1,307 | python | en | code | 88 | github-code | 97 | [
{
"api_name": "mindarmour.utils.logger.LogUtil.get_instance",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "mindarmour.utils.logger.LogUtil",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "logging.DEBUG",
"line_number": 22,
"usage_type": "attribute"... |
45081648069 | import os
import sys
import numpy as np
import pandas as pd
from datetime import date
from collections import OrderedDict
from dateutil.relativedelta import *
import matplotlib.pyplot as plt
from IPython.core.pylabtools import figsize
from IPython.core.display import display, HTML
from IPython.display import Latex
sy... | NelisW/RetirementPlanning | persfin/utilityfuns.py | utilityfuns.py | py | 8,566 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "sys.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "IPython.core.pylabtools.figsize",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 32,
"usage_type": "call"
},
{
"api_name... |
18874323073 | from os import uname
import sys
import time
import requests
from rich.console import Console
from rich.table import Table
from rich.text import Text
from argparse import ArgumentParser, RawTextHelpFormatter
from collections import OrderedDict
from rdflib import ConjunctiveGraph, Namespace, URIRef
from rdflib.namespace ... | edamontology/edamverify | src/text2edam.py | text2edam.py | py | 4,872 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "requests.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "rdflib.ConjunctiveGraph",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "rdflib.Namespace",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "rdflib.Namespac... |
12257985578 | import numpy as np
import matplotlib.pyplot as plt
import pickle
import random as rd
import compute_grad_num as num_grad
import pandas as pd
# Set random seed to get reproducable results
np.random.seed(400)
"Loads the CIFAR-10 data"
# returns:
# X = image pixel data (d x N)
# Y = one-hot class representation for each... | niklasembretsen/DL-DD2424- | Assignments/assignment2.py | assignment2.py | py | 15,930 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "numpy.random.seed",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pickle.load",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_... |
23229901166 | from sklearn import datasets
import numpy as np
import collections
from sklearn.svm import SVC
from sklearn.neighbors import KNeighborsClassifier
from sklearn.tree import DecisionTreeClassifier
irirs = datasets.load_iris()
irirs_data = irirs.data
irirs_label = irirs.target
size = len(irirs_data)
random_irirs_data =... | yhaha520/Tim-209 | irirs_classification.py | irirs_classification.py | py | 2,225 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "sklearn.datasets.load_iris",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "numpy.empty",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.empty",
... |
72948937919 | import discord
from discord.ext import commands
from sys import platform
import os
import subprocess
import time
import threading
#import psutil
"""
def find_a(exe: str, return_arr):
found = false;
while not found:
if return_arr[1] < 0:
return
for process in psutil.... | joeKody/wjw-discord-bot | commands/run.py | run.py | py | 8,632 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.path.join",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "discord.Embed",
"line_number"... |
12823515034 | #!/usr/bin/env python3
import sys
import colorsys
from colorz import colorz
WALLPAPER = sys.argv[1]
def normalize(hexv, minv=128, maxv=256):
hexv = hexv[1]
r, g, b = (hexv[0] / 256.0, hexv[1] / 256.0, hexv[2] / 256.0,)
h, s, v = colorsys.rgb_to_hsv(r, g, b)
minv = minv / 256.0
maxv = maxv / 256.... | justbuchanan/dotfiles | common/i3/home/.config/i3/themegen.py | themegen.py | py | 1,330 | python | en | code | 12 | github-code | 97 | [
{
"api_name": "sys.argv",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "colorsys.rgb_to_hsv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "colorsys.hsv_to_rgb",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"... |
34336773980 | import asyncio
import gc
import os
from joblib import Parallel, delayed
import pandas as pd
from prefect import flow, task
from prefect_ray.task_runners import RayTaskRunner
import numpy as np
from numpy import array, float32 # to eval strings as arrays
from sklearn.metrics import log_loss
import ray
from sklearn.mo... | ejmockler/case-control-genomics | src/metamodel.py | metamodel.py | py | 9,043 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pandas.Series",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.divide",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.StratifiedKFold",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "co... |
72078885759 | #!/usr/bin/python
# -*- coding: utf8 -*-
import json
import boto3
import time
import os
TABLE_NAME = os.getenv('dynamodb_table')
WEBSITE_BUCKET = os.getenv('bucket')
def update_json_file_to_s3():
client = boto3.client('dynamodb')
response = client.scan(
TableName = TABLE_NAME,
Select = 'SPE... | finishy1995/aws-services-list | lambda/transmitter.py | transmitter.py | py | 1,561 | python | en | code | 4 | github-code | 97 | [
{
"api_name": "os.getenv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "boto3.client",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 45,
... |
34843723272 | '''
Script: Image to sketch.
Author@ mujeebishaque
'''
import argparse
import cv2, os
class SketchImage():
@staticmethod
def sketch(image_path, destination):
if not image_path or len(image_path) < 6:
raise Exception("Check the image path provided.")
if not destin... | mujeebishaque/image-to-sketch | image_to_sketch.py | image_to_sketch.py | py | 1,944 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.sep",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "cv2.imread",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "cv2.IMREAD_GRAYSCALE",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "cv2.bitwise_not",
... |
7045994956 | import json
import glob
import os
from dashify.visualization.data_model.grid_search_result import GridSearchResult
from dashify.visualization.data_model.experiment import Experiment
from typing import Dict, List
class LocalDataLoader:
"""
Static class that loads the experiments of a given grid search from dis... | dashifyML/dashifyML | src/dashify/visualization/data_import/data_loaders.py | data_loaders.py | py | 3,053 | python | en | code | 4 | github-code | 97 | [
{
"api_name": "dashify.visualization.data_model.grid_search_result.GridSearchResult",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 23,
"usage_type": "call"
}... |
43270820809 | from model.detection import detection
from model.detection.lossFuntion import loss_region
import cv2
import os
import tensorflow as tf
from tensorflow.keras.callbacks import EarlyStopping, ModelCheckpoint
import tensorflow.keras.backend as K
import numpy as np
enco_path = "data/image/resized"
original_file_list = os.... | sungbeom90/taxocrproject | main.py | main.py | py | 1,917 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.listdir",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "tensorflow.image.convert_image_dtype... |
31494420418 | import requests
import json
BASE_URL = 'localhost:9091/'
print("\n")
#일반 get request
response = requests.get(BASE_URL + 'userList/v1.0')
data = response.json()
print("1. 유저리스트 조회 : ", data['check'])
#일반 post request에 params 세팅 후 전송
params = {'key1' : 'value1',
'key2' : 'value2'}
response = requests.post(BA... | chakangost/python_applications | http_request/http_request_sample.py | http_request_sample.py | py | 1,305 | python | ko | code | 2 | github-code | 97 | [
{
"api_name": "requests.get",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "requests.put",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number"... |
16334890476 | import torch
from torch import nn
from d2l import torch as d2l
class BatchNorm(nn.Module):
def __init__(self, num_features, num_dims):
"""
num_features: nums of outputs for fc
nums of output channels for convolution
num_dims: 2 for fc,
4 for conv
... | xuhuasheng/Dive2DeepLearning-pytorch | convolutional-modern/batch-norm.py | batch-norm.py | py | 3,512 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "torch.nn.Module",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "torch.nn.Parameter",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_n... |
21480855022 |
import random
import pygame
SCREEN_SIZE = [1000, 800]
WHITE = (255, 255, 255)
CELL_RADIUS = 20
SNAKE_COLOR = (0, 0, 0)
FOOD_COLOR = (100, 100, 100)
FOOD_RADIUS = 20
UPDATE = pygame.USEREVENT + 1
Food = pygame.USEREVENT + 2
LIGHT_GREY = (100, 100, 100)
MSG_POSITION = (300, 500)
def init_game():
pygame.init(... | JimmyHongjichuan/snark | snake.py | snake.py | py | 5,574 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pygame.USEREVENT",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "pygame.USEREVENT",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "pygame.init",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pygame.displa... |
72119526718 | import numpy as np
import matplotlib.pyplot as plt
from data.pca import perform_pca
def read_data(file_path):
'''
read file path and return the dataset
input(s):
file_path (string): path of txt file
output(s):
dataset (ndarray): the dataset
'''
dataset = []
# Open the file in re... | stysh98/fingerprint1 | data/analyze_dataset.py | analyze_dataset.py | py | 5,471 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "numpy.array",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.hist",
"li... |
8548403029 | import numpy as np
from neuron import h,gui
import signal
import pickle
from matplotlib import pyplot as plt
from glob import glob
import pandas as pd
import sys
from extra_function import load_ASC,SIGSEGV_signal_arises
from read_spine_properties import get_spine_xyz,get_n_spinese, get_spine_part
signal.signal(signal.S... | moriafrid/analysis_groger_cells | calculate_synaptic_loc.py | calculate_synaptic_loc.py | py | 8,723 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "signal.signal",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "extra_function.SIGSEGV_signal_arises",
"line_number": 11,
"usage_type": "argument"
},
{
"api_name": "signal.SIGSEGV",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_na... |
9223609084 | import torch
import resnet_pytorch
import imbalanced_dataset
import numpy as np
import utils
import argparse
from itertools import chain
import os
try:
from apex import amp
except ImportError:
amp = None
import train
import initialise_model
def main(args):
dset_name = args.dset_name
train_dir = os.pa... | kostas1515/improved_baselines | classification/per_shot_acc.py | per_shot_acc.py | py | 9,030 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "apex.amp",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": ... |
21589001131 | from django.urls import path
from . import views
urlpatterns = [
path('v1/',views.view1),
path('add/',views.add),
path('hm/',views.home,name='home' ),
path('ab/',views.about,name='about'),
path('co/',views.contact,name='contact'),
path('as/',views.allStudent),
path('em/',views.allEmployee),... | akshay1079/class_project | third/urls.py | urls.py | py | 323 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
35625041802 | '''
Created on Aug 8, 2016
Processing datasets.
@author: Xiangnan He (xiangnanhe@gmail.com)
Modified on Nov 10, 2017, by Lianhai Miao
'''
import scipy.sparse as sp
import numpy as np
import torch
from torch.utils.data import TensorDataset, DataLoader
from collections import defaultdict
import math
class Data_load... | ccnu-mathits/DA-GR | dataset.py | dataset.py | py | 13,166 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "torch.randint",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.random.randint",
"line_number": 87,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 87,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.ran... |
37343002310 | #!/usr/bin/env python2
from rest_framework import serializers
from domain.achievement.models.Action import Action
from custom_fields.ChoicesField import ChoicesField
class ActionSerializer(serializers.ModelSerializer):
action_verb = ChoicesField(choices=Action.ACTION_VERBS)
class Meta:
model = Acti... | pseudobabble/ufunction | application/api/serializers/ActionSerializer.py | ActionSerializer.py | py | 560 | 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": "custom_fields.ChoicesField.ChoicesField",
"line_number": 10,
"us... |
35876000010 | import os
import random
import discord
from discord.ext import commands
from dotenv import load_dotenv
from datetime import timedelta, datetime
load_dotenv()
TOKEN = os.getenv('DISCORD_TOKEN')
date = None
bot = commands.Bot(command_prefix='-')
# display a message in console to tell admins that the bot is online
@... | potato-potato-potato-potato/discord-bot-go-club--also-fuck-alex | DiscordBot.py | DiscordBot.py | py | 1,933 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands.Bot",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "discord.ext.com... |
31135496437 | try:
from commands.creation.creation_commands import CreationCommand
from dna.dna import Dna
from dna.dna_sequence import DnaSequence
except ImportError:
print("Need to fix the installation")
raise
'''
New Command.
command: new <seq> [@<seq_name>]
if name is not provided a default name is set to be:... | railadonnebaum/DNA-Analyzer-project | commands/creation/new_command.py | new_command.py | py | 886 | python | en | code | 5 | github-code | 97 | [
{
"api_name": "commands.creation.creation_commands.CreationCommand",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "dna.dna_sequence.DnaSequence",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "dna.dna.Dna",
"line_number": 22,
"usage_type": "call"
... |
40505180659 | import pyodbc
class PhoneBook:
def __init__(self, dbname, tname):
self.dbname = dbname
self.tname = tname
self.connString = 'Driver={SQL Server};Server=DESKTOP-DH4N9T0\SQLEXPRESS01;Database='+dbname+';Trusted_Connection=yes;'
conn = pyodbc.connect(self.connString)
cursor = ... | preston-inapp/inapp-camp2-assignments | Python-Phonebook-DB.py | Python-Phonebook-DB.py | py | 2,236 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pyodbc.connect",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pyodbc.connect",
"line_number": 53,
"usage_type": "call"
}
] |
8860168610 | import torch
import numpy as np
import torch.nn as nn
import torch.optim as optim
import time
import os
import shutil
from datetime import datetime
from tqdm import tqdm
from load_data import load_data_imagefolder, load_hdf_data, load_split_data, load_fwa_data, load_split_data_random
from sklearn.metrics import confusi... | TechieBoy/deepfake-detection | trainer.py | trainer.py | py | 11,767 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "torch.backends",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "hp.hp.save_folder",
... |
37547418015 | from twisted.python.runtime import platform
from twisted.internet.test.reactormixins import ReactorBuilder
from twisted.internet.protocol import Protocol
if not platform.isWindows():
from twisted.internet._posixstdio import StandardIO
class StdioFilesTests(ReactorBuilder):
"""
L{StandardIO} supports read... | nlloyd/SubliminalCollaborator | libs/twisted/internet/test/test_stdio.py | test_stdio.py | py | 6,178 | python | en | code | 213 | github-code | 97 | [
{
"api_name": "twisted.python.runtime.platform.isWindows",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "twisted.python.runtime.platform",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "twisted.internet.test.reactormixins.ReactorBuilder",
"line_number": 9... |
27097136546 | """Run the code with self-healing."""
import subprocess
import time
from pathlib import Path
import fire
from prompt_templates.information_retrieval import find_file_with_error_template
from prompt_templates.code_generation import fix_code_template
from utils.llm import send_templated_message_to_llm, query_llm
from... | Josh-Joseph/gen-code-from-requirements-doc | src/run_with_self_healing.py | run_with_self_healing.py | py | 3,651 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "time.time",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "subprocess.Popen",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "subprocess.PIPE",
... |
34574696326 | from bs4 import BeautifulSoup
import fileinput
import html2text
import json
import logging
import markdown
import random
import requests
import shutil
import sys
# Load json in memory
def get_challenge_updates(file_path: str, update_field: str) -> list:
# open with utf 8 encoding
with open(file_path, 'r') as... | Vivallo04/Vivallo04 | scripts/main.py | main.py | py | 6,232 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "json.load",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_numbe... |
45380837894 | import networkx as nx
COUNT_MISSING_DATES = False
PRINT_TOP_N = 10
def normalize_dict(dct): # makes all the values in range [0,1]
lowest_val = 9999999.0
highest_val = 0.0
for key, value in dct.items():
if value < lowest_val:
lowest_val = value
if value > highest_val:
... | sidav/GraphInfluenceAnalysis | analyze_books.py | analyze_books.py | py | 6,160 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sys.stdout.write",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "sys.stdout.write",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"l... |
70620405759 | import argparse
import os
import cv2 as cv
import numpy as np
import pytesseract as ocr
from pytesseract.pytesseract import run_tesseract
WHITE = 0
BLACK = 1
def load_image(path):
"""
loads the pixel matrix that represents the image stored in `path`
:param path: the file path to the image
:return: t... | lnarita/mc920a | 03/lab03.py | lab03.py | py | 7,773 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "cv2.imread",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.shape",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "cv2.normalize",
"line_number":... |
36800891952 | """Wrapper around sqlite3 Connection with utilities for updating and easy querying."""
import os
import sqlite3
import pandas as pd
from database.tables import cards, images, prices
class ETGDatabase:
"""Wrapper around sqlite db connection with updating/querying utilities"""
all_table_names = ("Cards", "I... | Squeemos/Eigen-the-Gathering | database/db.py | db.py | py | 3,691 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "database.tables",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "os.listdir",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "database.tables",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "database.tables",
"lin... |
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