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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
5406939429 | """
Revision ID: 274c92aeae37
Revises: b13c53d0fe24
Create Date: 2020-09-09 11:18:14.077634
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = "274c92aeae37"
down_revision = "b13c53d0fe24"
branch_labels = None
depends_on = None
def upgrade():
# ### commands ... | shimaomao/fastapi-starter | migrations/versions/274c92aeae37_add_avatar_path.py | 274c92aeae37_add_avatar_path.py | py | 784 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "alembic.op.add_column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.String"... |
27429452945 | """
Local Volatility models
"""
import numpy as np
from cores.MC import ArrayBT
import matplotlib.pyplot as plt
# I should have coded in C++, since python is too slow. Anyway, local vol tree is just a toy.
# Mckean SDE and particle estimation are the most powerful tools in the LV model and SLV model.
class LVBT(obje... | Peimou/OptionTools | LVtools.py | LVtools.py | py | 5,588 | python | en | code | 4 | github-code | 7 | [
{
"api_name": "cores.MC.ArrayBT",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.zeros_like",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_nu... |
35319892761 | """MDL Retriever"""
from openicl import DatasetReader, PromptTemplate
from openicl.icl_retriever.icl_topk_retriever import TopkRetriever
from openicl.utils.calculate import entropy
from openicl.utils.logging import get_logger
from typing import List, Union, Optional, Tuple
from transformers import AutoModelForCausalLM... | Shark-NLP/OpenICL | openicl/icl_retriever/icl_mdl_retriever.py | icl_mdl_retriever.py | py | 7,594 | python | en | code | 460 | github-code | 7 | [
{
"api_name": "openicl.utils.logging.get_logger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "openicl.icl_retriever.icl_topk_retriever.TopkRetriever",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "openicl.DatasetReader",
"line_number": 44,
"usage... |
14832992699 | import requests
import zipfile
import csv
import boto3
from datetime import date, datetime
from dataclasses import dataclass
from io import BytesIO, TextIOWrapper
from typing import Union, Tuple, List, Dict, Iterator
CSV_ZIP_URL = "https://www.arcgis.com/sharing/rest/content/items/d73ed67e4cc84a84b818ea2c5caef696/data... | transitmatters/data-ingestion | ingestor/chalicelib/speed_restrictions.py | speed_restrictions.py | py | 4,343 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "typing.Tuple",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "datetime.date",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "datetime.date",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "datetime.date",
"line_nu... |
44926722184 | import os,sys,hashlib,cx_Oracle
from flask import *
if sys.platform.startswith("darwin"):
cx_Oracle.init_oracle_client(lib_dir=os.environ.get("HOME")+"/instantclient_19_3")
elif sys.platform.startswith("win32"):
cx_Oracle.init_oracle_client(lib_dir=r"C:\instantclient_21_3")
def init_session(connection, reques... | MahdeeMushfiqueKamal/Combined-Engineering-Admission-System | Admin End/app_admin.py | app_admin.py | py | 19,074 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sys.platform.startswith",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.platform",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "cx_Oracle.init_oracle_client",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "o... |
14670500503 | from pydantic import BaseModel
from datetime import datetime
class PostBase(BaseModel):
title: str
content: str
class Post(PostBase):
id: int
created_at: datetime
class Config: # даёт понимание pydantiку что можно типизировать данные (переводит обьект в словарь)
orm_mode = True
class P... | Aqua-Lively/little-app | app/schemas.py | schemas.py | py | 430 | python | ru | code | 0 | github-code | 7 | [
{
"api_name": "pydantic.BaseModel",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "datetime.datetime",
"line_number": 10,
"usage_type": "name"
}
] |
547290489 | import h5py
import operator
import numpy as np
from larpixreco.types import Hit
from larpixreco.RecoLogging import getLogger
logger = getLogger(__name__)
class HitParser(object):
''' A helper for parsing data files into `Hit` types '''
_col2name_map = { # col : name
0 : 'channelid',
1 : 'chipid... | larpix/larpix-reconstruction | larpixreco/HitParser.py | HitParser.py | py | 3,723 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "larpixreco.RecoLogging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "h5py.File",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "larpixreco.types.Hit",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "operat... |
10072588406 | from PIL import Image
path_append = "../images/"
images = ["NES-Mario-and-Luigi.png", "NES-Mario-Enemies-and-Bosses.png", "NES-Mario-World1-1.png"]
color_dict = {}
for image in images:
image = path_append + image
im = Image.open(image)
for x in range(im.width):
for y in range(im.height):
... | Joecool48/ece-385 | final_project/scripts/color_counter.py | color_counter.py | py | 403 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "PIL.Image.open",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 10,
"usage_type": "name"
}
] |
31245145467 | #!/usr/bin/env python
import asyncio
from Urlspinging.filter_out404 import filter_all
import time
def read_list(file_name):
urls = []
with open(file_name) as f:
[urls.append(line) for line in f.readlines()]
return urls
def store_list(urls:list, file_name:str):
with open(file_name, 'w') as... | latifah221b/orphan_detect | filtering_err_pages.py | filtering_err_pages.py | py | 1,145 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "time.time",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "Urlspinging.filter_out404.filter_all",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "asyncio.run"... |
33067886685 | import argparse
import os
import re
import sys
import textwrap
import time
from typing import Dict, Optional, List
import paramiko
FILE_ABS_PATH = os.path.dirname(__file__)
ROOT_PATH = os.path.join(FILE_ABS_PATH, os.pardir)
sys.path.append(ROOT_PATH)
from myio.common_io import read_lines, read_json_obj, read_json5_o... | DBGroup-SUSTech/QEVIS | data_process/collect/collector.py | collector.py | py | 9,194 | python | en | code | 4 | github-code | 7 | [
{
"api_name": "os.path.dirname",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number"... |
74209902302 | #-*- coding:utf-8 -*-
import warnings
import logging
from miasm.ir.ir import Lifter, AssignBlock
from miasm.expression.expression import ExprOp, ExprAssign
log = logging.getLogger("analysis")
console_handler = logging.StreamHandler()
console_handler.setFormatter(logging.Formatter("[%(levelname)-8s]: %(message)s"))
... | cea-sec/miasm | miasm/ir/analysis.py | analysis.py | py | 3,689 | python | en | code | 3,204 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.StreamHandler",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.Formatter",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.WAR... |
74254667744 | # Key Competencies:
# Samples - Ability to obtain a sample mean. Sampling is a process used in statistical analysis in which a predetermined number of observations are taken from a larger group. A sample is refers to a smaller, manageable version of a larger group.
# Outliers - An understanding of an outlier, an o... | edreisMD/HackerHank | general_statistics.py | general_statistics.py | py | 7,909 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "math.comb",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "math.e",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "math.factorial",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "statistics.NormalDist",
"lin... |
24667915146 | from itertools import chain, combinations_with_replacement
import time
def work_back(work, length):
go_back = 1
# loop in reverse
for idx in range( length, -1, -1 ):
# check if at last char
if work[idx] == chr(126):
go_back = 1
work[idx] = chr(33)
else:
... | Alfonso/Computer-Security | Assignment4/test.py | test.py | py | 916 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "itertools.chain.from_iterable",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "itertools.chain",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "itertools.combinations_with_replacement",
"line_number": 26,
"usage_type": "call"
},
{
... |
18267078919 | from apps.finance.models import Persona
from apps.inventory.models import Deposito, Item
from django.db import models
from django.utils.html import format_html
class Finca(models.Model):
descripcion = models.CharField(
max_length=200, verbose_name="Descripción", unique=True
)
dimension_ha = models... | toviaferna/turbo-potato | apps/farming/models.py | models.py | py | 16,178 | python | es | code | 2 | github-code | 7 | [
{
"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.CharField",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "... |
13525534333 | #!/usr/bin/env python
import os
from setuptools import setup, find_packages
PACKAGE_DIR = 'fcc_complaints'
with open(os.path.join(os.path.dirname(__file__), 'README.md')) 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__), o... | gdoermann/fcc_complaints | setup.py | setup.py | py | 1,481 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.path.join",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_number": ... |
21847630322 | import hmac
from json import JSONDecodeError
from sys import hexversion
from pyramid.view import view_config
from ..utils import send, devsay
import logging
log = logging.getLogger(__name__)
@view_config(route_name='api', renderer="json")
def api(request):
"""Handle custom channel requests from the API."""
... | FuelRats/JIRAAnnouncer | jiraannouncer/views/api.py | api.py | py | 2,207 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "utils.devsay",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "hmac.new",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "sys.hexversion",
"line_nu... |
69976274142 | #!/usr/bin/python
import os
import os.path
import sys
import json
def maybe_update_to_2(part_info):
if "version" not in part_info:
part_info["version"] = 2
# Allow for multiple categories for parts such as PDBs that are also OSDs.
if part_info["category"]:
part_info["categories"] = [part_info["cat... | rcbuild-info/scrape | refactor_scripts/merge.py | merge.py | py | 2,752 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "os.path.islink",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 48,
"usage_type": "attribute"
},
{
"api_name": "os.realpath",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_nu... |
70132810142 | import os
from api import create_api_folder
from env import create_env_file
from packages import install_packages
from config import create_config_folder
from app import create_app
def create_nodejs_api(project_name):
try:
new_directory = os.path.join(os.getcwd(), project_name)
os.mkdir(new_director... | AtakanKanburoglu947/create_nodejs_api | init.py | init.py | py | 737 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.path.join",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.mkdir",
"line_number": 10,
... |
11645458364 | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
from torchvision import models
from transformers import BertForSequenceClassification, GPT2Model
import os
import json
import torch.utils.data as data
from data import CaptionDataset
class G_LSTM(nn.Module):
"""... | m-abbas-ansari/ASD-Classification | model.py | model.py | py | 16,014 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "torch.nn.Module",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_nu... |
29567755618 |
from flask import flash, render_template,request,redirect, session,url_for
from config import server
from factoryDao import dao
from models import Code, File, Post
import os
from validation.fileValidation import validation_file
class ControllerPost:
@server.loggin_required
def create_post(self):
post... | GuilhermeHenrique659/CodeBooks | controllers/postcontrollers.py | postcontrollers.py | py | 2,570 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "flask.request.form",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "flask.request.files.getlist",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "fla... |
26275806243 | # python main.py --ae onepix
from silence_tensorflow import silence_tensorflow
silence_tensorflow()
import tensorflow as tf
from tkinter import Y
from modules.pre import *
from modules.model import model
from modules.attack import PixelAttacker
from modules.plot import *
from modules.Attention_layer import Attention_... | zncud/lab_poison | replica.py | replica.py | py | 1,972 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "silence_tensorflow.silence_tensorflow",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "modules.model.model",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 17,
"usage_type": "call"
},
{
"... |
32046200569 | # coding:utf8
import base64 # 导入base64模块
import os
def pictob64(path): # 将图片转换成base64格式
with open(path, 'rb') as pic: # 以 读字节的方式打开图片
b64 = base64.b64encode(pic.read()) # b64对图片字节进行加密, 返回加密后的字节值
# print(str(b64, 'utf8'))
# 验证后发现没有str(b64, 'utf8')也行
# 其实不行,b64encode返回时字节值 b '***... | Gievance/PythonScripts | Pic22base64.py | Pic22base64.py | py | 1,367 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "base64.b64encode",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "base64.b64decode",
"line_number": 23,
"usage_type": "call"
}
] |
1691454935 | from flask_restful import reqparse, Resource
from sqlalchemy.sql.expression import update
from models.user import Users
from flask import abort, jsonify, make_response, request
from api.v1.app import db
from datetime import datetime
from flask_restful_swagger import swagger
from datetime import timezone
from flask_jwt_... | Theemiss/Quick_Report | api/v1/views/user.py | user.py | py | 13,267 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "flask_restful.reqparse.RequestParser",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "flask_restful.reqparse",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "flask_restful.reqparse.RequestParser",
"line_number": 35,
"usage_type": "call... |
4279114039 | from typing import Any, Optional, Union
from torch import Tensor
from rllib.dataset.datatypes import Observation, Trajectory
from rllib.model import AbstractModel
from rllib.policy import AbstractPolicy
from rllib.util.logger import Logger
class AbstractMBAlgorithm(object):
dynamical_model: AbstractModel
rew... | SamueleMeta/optimal_is | rllib/algorithms/abstract_mb_algorithm.pyi | abstract_mb_algorithm.pyi | pyi | 1,192 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "rllib.model.AbstractModel",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "rllib.model.AbstractModel",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "r... |
28679592792 | from copy import deepcopy
import torch
import torch.nn as nn
def build_model(args):
model = _build_torchvision_model(args.model, pretrained=args.pretrained)
classifier = nn.Linear(model.fc.in_features, args.num_classes)
setattr(model, "fc", classifier) # replace with the target classifier
... | ytaek-oh/mlssl-simple | model.py | model.py | py | 2,022 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "torch.nn.Linear",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line... |
39180968123 | #!/usr/bin/env python
# coding: utf-8
# In[30]:
import numpy as np
import math
import matplotlib.pyplot as plt
# Large sample of $(x_1, x_2)$, derive average $a$ and $b$ from sample. These $a$ and $b$ will be used in $g(x)$ and $E_{out}$
# In[31]:
x_1 = np.random.uniform(-1, 1, 10000)
x_2 = np.random.uniform(-1... | nhsuh/bv-experiment | bv_experiment.py | bv_experiment.py | py | 1,986 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "numpy.random.uniform",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.uniform",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.ran... |
70308197982 | import json
import matplotlib.pyplot as plt
from datetime import datetime
# Load and parse JSON data with explicit encoding specification
with open('jira_data.json', 'r', encoding='utf-8') as json_file:
data = json.load(json_file)
# Initialize dictionaries to store status, assignee, and date information
status_di... | ninethsense/jira | Issue-plot/issue-history-plot.py | issue-history-plot.py | py | 2,569 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "json.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "matplotlib.pypl... |
247280024 | import numpy as np
from scipy import sparse
def spectralband(A,zinit,zfin):
degrees = sparse.csc_matrix.sum(A,0)
degrees = np.asarray(degrees).reshape(-1)
Ntot = len(degrees)
cm = sum(degrees)/Ntot
for z in np.linspace(zinit,zfin,1000):
unique, counts = np.unique(degrees, return_counts=True)
R1 = 0
S2 = 0... | tatsuro-kawamoto/modularity_eigenvalues | SpectralModularity.py | SpectralModularity.py | py | 1,462 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "scipy.sparse.csc_matrix.sum",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "scipy.sparse.csc_matrix",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "scipy.sparse",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "nu... |
5074993484 | from gamelogic.event_queue import EventQueue
from gamelogic.clock import Clock
import unittest
import time
import pygame
class TestClock(unittest.TestCase):
def setUp(self):
pygame.init()
self.clock = Clock()
def test_wait_time(self):
start = time.time()
for i in range(65):
... | Hempppa/ot-harjoitustyo | src/tests/small_classes_test.py | small_classes_test.py | py | 818 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "unittest.TestCase",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pygame.init",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "gamelogic.clock.Clock",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "time.time",
... |
70603034143 | import os
from typing import Tuple
from PIL import Image , ImageDraw
from pyvips import Image as VipsImage
from chess import Board
from importlib import resources
class Chess_Image:
"""
Creates Single Image frames for rendering the GIFs
as per requirements.
Parameters
----------
colors : tupl... | tryingsomestuff/Minic | Tools/video/create_frame.py | create_frame.py | py | 5,831 | python | en | code | 84 | github-code | 7 | [
{
"api_name": "importlib.resources.files",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "importlib.resources",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "os.listdir",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "os.path.join... |
70438838943 | from django.urls import path, include
from .views import (## Nursery Views
PlantCreateAPIView,
PlantListAPIView,
PlantRUDAPIView,
ViewOrdersAPIView,
## User Views
AllPlantsListAPIView,
... | Samjoel3101/PlantEcommerce | Django_React_Project/nursery/api/urls.py | urls.py | py | 1,212 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "django.urls.path",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "django.urls.include",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "views.PlantCrea... |
41546863468 | import requests
import re
import time
ua = {
'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:88.0) Gecko/20100101 Firefox/88.0'
}
si = input("输入开始页数：")
si1 = int(si)
su = input("输入结尾页数：")
su1 = int(su)
delayed = input("嫌慢可以调延时，最佳为1：")
delayed1 = int(delayed)
print("。。。。")
while si1<su... | zhoubest6/Projects | 爬图片/爬虫1.1.py | 爬虫1.1.py | py | 1,514 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "requests.get",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": ... |
10211785151 | import pandas as pd
import lxml.html
import requests
import io
class TokyoOpenDataCatalogDownloader:
def __init__(self, urls_csv_name: str, export_file_name: str):
self.export_file_name = export_file_name
self.download_targets = pd.read_csv(urls_csv_name).URL.tolist()
self.download_target_u... | tori-takashi/tokyo_opendata_catalog_downloader | downloader.py | downloader.py | py | 2,093 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line... |
33832694039 | import pyttsx3 as voz
import speech_recognition as sr
import subprocess as sub
from datetime import datetime
#configuracion de la voz del asistente
voice=voz.init()
voices=voice.getProperty('voices')
voice.setProperty('voice',voices[0].id)
voice.setProperty('rate',140)
def say(text):
voice.say(text)... | Jolitechrdcoder/proyectos | Xor.py | Xor.py | py | 1,685 | python | es | code | 1 | github-code | 7 | [
{
"api_name": "pyttsx3.init",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "speech_recognition.Recognizer",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "speech_recognition.Microphone",
"line_number": 20,
"usage_type": "call"
},
{
"api_name"... |
30474578738 | import os
import shutil
from natsort import natsorted
from reportlab.lib.pagesizes import A4, portrait
from reportlab.pdfgen import canvas
# 下载的文件夹
cartoon_path = './test/'
# 生成的pdf
cartoon_pdf = './cartoon.pdf'
# 存储所有图像路径
all_img = []
# 修改文件夹的名字，以便排序
def renamePre(path):
filename = os.listdir(path)
for file... | 2000PJL/EasyCartoon | main.py | main.py | py | 1,675 | python | en | code | null | github-code | 7 | [
{
"api_name": "os.listdir",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.rename",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "shutil.rmtree",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 29... |
41243114196 | """Builds Markov chains from Discord chat history and provides a bot command interface
to display them."""
import ujson
import os
import random
import re
import string
import discord
from discord.ext import commands
from itertools import product
import markovify
import datetime
import traceback
DEFAULT_N... | coizioc/math-bot-markov | markov.py | markov.py | py | 20,083 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "os.listdir",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 86,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 86,
"usage_type": "attribute"
},
{
"api_name": "random.c... |
42166660992 | import pandas as pd
from datetime import datetime, date
import src.visualization.visualize as vz
import src.auxiliary.auxiliary as aux
import src.data.wrangling as w
import src.data.database as db
from flask import Flask, request
import telebot
import os
from ratelimit import limits, sleep_and_retry
API = os.getenv(... | rpacco/momentum_bot | main.py | main.py | py | 5,455 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.getenv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 19,
... |
13791239032 | from anndata import AnnData
from typing import Optional, Union
import matplotlib.pyplot as plt
import scanpy as sc
import numpy as np
def check_trajectory(
adata: AnnData,
library_id: str = None,
use_label: str = "louvain",
basis: str = "umap",
pseudotime_key: str = "dpt_pseudotime",
trajector... | BiomedicalMachineLearning/stLearn | stlearn/plotting/trajectory/check_trajectory.py | check_trajectory.py | py | 2,005 | python | en | code | 125 | github-code | 7 | [
{
"api_name": "anndata.AnnData",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "matplotlib.pypl... |
72233944224 | import json
from channels.generic.websocket import AsyncWebsocketConsumer
#from asgiref.sync import await_to_sync
from chat.services import chat_save_message
class ChatConsumer(AsyncWebsocketConsumer):
""" handshake websocket front end """
room_name = None
room_group_name = None
async def connect(s... | codingelle/django-whatsapp-web-clone | chat/consumers.py | consumers.py | py | 2,355 | python | en | code | 123 | github-code | 7 | [
{
"api_name": "channels.generic.websocket.AsyncWebsocketConsumer",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "chat.services.chat_save_message",
"line_number": 54,
"usage_type": "call"
}... |
20040821938 | import requests
import traceback
from googleapiclient.discovery import build
from robos.pln.pipeline import Pipeline
from robos import robo_state
from util.gerencia_arquivo import GerenciaArquivo as ga
from wand.image import Image
from wand.display import display
from wand.color import Color
from wand.font import Fon... | Volpe6/RoboCriadorVideoComBlender | src/robos/robo_imagem.py | robo_imagem.py | py | 3,265 | python | pt | code | 1 | github-code | 7 | [
{
"api_name": "robos.pln.pipeline.Pipeline",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "dotenv.load_dotenv",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "googleapiclient.discovery.build",
"line_number": 21,
"usage_type": "call"
},
{
"ap... |
70996761503 | import copy
import sys
import os
from gym_pybullet_drones.envs.BaseAviary import DroneModel, Physics
from gym_pybullet_drones.envs.CtrlAviary import CtrlAviary
from gym_pybullet_drones.envs.VisionAviary import VisionAviary
from gym_pybullet_drones.control.DSLPIDControl import DSLPIDControl
from gym_pybullet_drones.con... | Data-Science-in-Mechanical-Engineering/ET-distributed-UAV-path-planner | CPSTestbed/Projects/EventTriggeredDMPCStateSpace/dmpc_statespace_simulation.py | dmpc_statespace_simulation.py | py | 15,421 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "copy.deepcopy",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "CPSTestbed.useful_scripts.cuboid.Cuboid",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "CPSTestbed.useful_scripts.cuboid",
"line_number": 52,
"usage_type": "name"
},
{... |
14664466888 | # wsse/server/default/store.py
# coding=utf-8
# pywsse
# Authors: Rushy Panchal, Naphat Sanguansin, Adam Libresco, Jérémie Lumbroso
# Date: August 30th, 2016
# Description: Store implementation for default server.
import sqlite3
import contextlib
import datetime
from ... import settings, utc
class SQLit... | bmorck/TigerTravel | wsse/server/default/store.py | store.py | py | 3,363 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "sqlite3.connect",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "contextlib.contextmanager",
"line_number": 47,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.utcnow",
"line_number": 87,
"usage_type": "call"
},
{
"api_name"... |
5589463998 |
# Decoding
# pip install opencv-python
import cv2
# Open the desired image (can also be a jpg)
img = cv2.imread("img/qr_App.png")
# Instantiate a new detector object
detector = cv2.QRCodeDetector()
# Decode the image
data = detector.detectAndDecode(img)
# Show the results
print("Output from QRCode:")
print(data... | DebajyotiTalukder2001/My-Repo | CodeSpeedy/CodeSpeedy/QRCode/QRCode/qr_out.py | qr_out.py | py | 326 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "cv2.imread",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.QRCodeDetector",
"line_number": 12,
"usage_type": "call"
}
] |
1588368815 | import torch
import torchvision
from torch.utils.data import DataLoader
from torch import nn
from alive_progress import alive_bar
train_data = torchvision.datasets.EMNIST(
root='dataset',
split='digits',
train=True,
transform=torchvision.transforms.ToTensor(),
download=True
)
test_data = torchvisi... | chris901003/DeepLearning | pytorch_classification/Others/EMNIST_Digit.py | EMNIST_Digit.py | py | 2,406 | python | en | code | 7 | github-code | 7 | [
{
"api_name": "torchvision.datasets.EMNIST",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torchvision.datasets",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torchvision.transforms.ToTensor",
"line_number": 11,
"usage_type": "call"
},
{
... |
9624733151 | import logging
from .i3d import I3D
from .config import get_config
def get_symbol(name, modality = 'rgb', drop_out = 0.5, print_net=False, arch_estimator = None, arch_d = None, **kwargs):
if name.upper() == "I3D":
net = I3D(modality = modality, dropout_prob = drop_out, arch_estimator = arch_estimator, ar... | facebookresearch/dmc-net | code/dmcnet_I3D/network/symbol_builder.py | symbol_builder.py | py | 654 | python | en | code | 45 | github-code | 7 | [
{
"api_name": "i3d.I3D",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.error",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.debug",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "logging.debug",
"line_number":... |
22789848693 | from django.conf import global_settings
from django.urls import reverse_lazy
from environs import Env
from sale_ads.paths import LOCALE_DIR, STATIC_DIR, TEMPLATE_DIR
_env = Env()
_env.read_env()
# Main
HOME_URL = reverse_lazy("ads_list")
# Application definition
INSTALLED_APPS = [
"modeltranslation",
"d... | mikhkhann/sale-ads | src/sale_ads/conf/settings/base.py | base.py | py | 4,573 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "environs.Env",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.reverse_lazy",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.conf.global_settings.AUTHENTICATION_BACKENDS",
"line_number": 80,
"usage_type": "attribute"
... |
72870050462 | import sys
from argparse import ArgumentParser
import torch
import tqdm
import torch.nn.functional as F
from sklearn.metrics import accuracy_score
from torch import nn
from torch.optim import Adam, SGD
import numpy as np
from dataset.dataloader_classifier import Dataset
from dataset.config import Config
from models.tr... | Ascend/ModelZoo-PyTorch | PyTorch/dev/cv/image_classification/mBART_ID1550_for_PyTorch/classify_intent.py | classify_intent.py | py | 6,863 | python | en | code | 31 | github-code | 7 | [
{
"api_name": "os.getenv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.npu.current_device",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.npu",
"line_nu... |
73461592543 | from django.urls import path, include
from django.contrib import admin
from . import views
app_name = 'dashboard'
urlpatterns = [
path('', views.dashboard, name="dashboard"),
path('dashboard/', views.dashboard, name="dashboard"),
path('produit/', views.produit, name="produit"),
path('client/<str:pk... | mkjunior/hc-cmd-client | dashboard/urls.py | urls.py | py | 571 | python | en | code | 0 | github-code | 7 | [
{
"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",... |
32075537561 | import requests
import sys
import logging
import math
from .base import ControllerBase
from ..status import ExitStatus
class CubeController(ControllerBase):
def __init__(self, username, password):
self.username = username
self.password = password
self.info_web = None
self.app_token = None
# functio... | highvolt-dev/tmo-monitor | tmo_monitor/gateway/arcadyan.py | arcadyan.py | py | 2,693 | python | en | code | 85 | github-code | 7 | [
{
"api_name": "base.ControllerBase",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "requests.post",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.critical",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"lin... |
25100553167 | from flask import Flask, request, render_template
#import os, sys
from konlpy.tag import Okt
app = Flask(__name__)
@app.route('/', methods=['GET', 'POST'])
def index():
if request.method == 'POST':
# 웹 폼에서 POST 요청을 처리하는 부분
user_input = request.form['user_input']
# 모델 수행 부분 => 함수로
... | Songhee120/cj-aihackathon-binkani | web/app.py | app.py | py | 649 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "flask.request.form",... |
15180946888 | import os
import re
from collections import defaultdict
from .transliteration import Transliteration
from .transliteration.colour import copy_colour, minimize_colour
class Entry:
def __init__(self, idx, trad, simp, pinyin, defs):
self.idx = idx
self.trad = trad
self.simp = simp
sel... | julienbaley/zhtools | lib/zhtools/cedict.py | cedict.py | py | 1,980 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "transliteration.Transliteration",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "transliteration.colour.minimize_colour",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "transliteration.colour.copy_colour",
"line_number": 19,
"usage_typ... |
33240084434 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import csv
import matplotlib.pyplot as plt
import numpy as np
mk = ['o', 'x', '+', '*', 's', 'd', 'o', '^', '<', '>', 'h', 'p', 'x']
cl = ['tab:blue', 'tab:brown', 'tab:orange', 'tab:pink', 'tab:green', 'tab:cyan', 'tab:red']
ftSize = 13
cnt = 0
cntCkt = 0
tr = []
basel... | SJTU-ECTL/VECBEE | SASIMI-VECBEE/script/motivation.py | motivation.py | py | 5,751 | python | en | code | 7 | github-code | 7 | [
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 32,
"usage_type": "call"
},
{
"api_name... |
44616957923 | from flask import Flask, request
import json
from .db_access import find_embeddings
from .t_SNE import fit_tsne
app = Flask(__name__)
@app.route("/api", methods = ['POST', 'GET'])
def hello_world():
data = find_embeddings()
tsne = fit_tsne(data)
print(tsne[0:5])
response = {
"message": "Hell... | GradientFlow-ai/fast-api-ocean | api/index.py | index.py | py | 467 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "db_access.find_embeddings",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "t_SNE.fit_tsne",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.request.met... |
12173626412 | # 아이디어 : 1. 나이트의 8방향 정의
# 2. 방문 여부를 위한 graph 0으로 초기화
# 알고리즘 : bfs
# 자료구조 : queue(deque)
# 시작지점 - (x, y), 도착지점 - (p, q)
from collections import deque
import sys
input = sys.stdin.readline
# bfs 함수 정의
def bfs(x, y):
# 시작노드 및 큐 정의
queue = deque()
queue.append((x, y, 0))
graph[... | GinToFim/coding-test | 백준/Silver/7562. 나이트의 이동/나이트의 이동.py | 나이트의 이동.py | py | 1,365 | python | ko | code | 0 | github-code | 7 | [
{
"api_name": "sys.stdin",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 15,
"usage_type": "call"
}
] |
9075045007 | import enum
import copy
import claripy
from claripy.operations import infix, prefix
class BASIC_OP_TYPE(enum.Enum):
MEM = 0,
REG = 1,
CONST = 2,
TEMP = 3,
_g_type_dict = {
'mem': BASIC_OP_TYPE.MEM,
'reg': BASIC_OP_TYPE.REG,
'BVV': BASIC_OP_TYPE.CONST,
'tmp': BASIC_OP_TYPE.TEMP
}
de... | sem2vec/sem2vec-SE | src/formula.py | formula.py | py | 6,410 | python | en | code | 12 | github-code | 7 | [
{
"api_name": "enum.Enum",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "copy.deepcopy",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "claripy.operations.infix",
"line_number": 70,
"usage_type": "name"
},
{
"api_name": "claripy.operatio... |
28067262709 | import os
import shutil
from datetime import datetime
def clear_screen():
os.system("cls" if os.name == "nt" else "clear")
def format_file_size(size):
if size < 1024:
return f"{size} bytes"
elif size < 1024 * 1024:
return f"{size / 1024:.1f} KB"
else:
return f"{size / (1024 * 1... | navjack/chatGPT-generated-python-CMDline | command.py | command.py | py | 2,069 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.system",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.name",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.fromtimestamp",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "datetime.datetim... |
7623491362 | from __future__ import absolute_import
from __future__ import unicode_literals
import json
import jwt
import datetime
import requests
import time
import urllib3
import re
__all__ = [
"ERROR",
"Warning",
"InterfaceERROR",
"DatabaseERROR",
"InternalERROR",
"OperationalERROR",
"ProgrammingERR... | uptycslabs/urestapi | urestapi/uptycs_rest_api.py | uptycs_rest_api.py | py | 10,841 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "urllib3.disable_warnings",
"line_number": 84,
"usage_type": "call"
},
{
"api_name": "urllib3.exceptions",
"line_number": 84,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.utcnow",
"line_number": 102,
"usage_type": "call"
},
{
"api_na... |
72850584862 | import json
import logging
from collections import defaultdict
from mmcv.utils import get_logger
def get_root_logger(log_file=None, log_level=logging.INFO):
"""Get root logger.
Args:
log_file (str, optional): File path of log. Defaults to None.
log_level (int, optional): The level of logger.... | Ascend/ModelZoo-PyTorch | PyTorch/built-in/cv/classification/Resnet50_Cifar_for_PyTorch/mmcls/utils/logger.py | logger.py | py | 1,684 | python | en | code | 31 | github-code | 7 | [
{
"api_name": "logging.INFO",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "mmcv.utils.get_logger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "collections.default... |
37604200405 | """Tests for bocs."""
from vizier._src.algorithms.designers import harmonica
from vizier._src.algorithms.testing import test_runners
from vizier._src.benchmarks.experimenters import combo_experimenter
from absl.testing import absltest
class HarmonicaTest(absltest.TestCase):
def test_make_suggestions(self):
ex... | apollo65524532/CFU-Playground | third_party/python/vizier/vizier/_src/algorithms/designers/harmonica_test.py | harmonica_test.py | py | 807 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "absl.testing.absltest.TestCase",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "absl.testing.absltest",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "vizier._src.benchmarks.experimenters.combo_experimenter.IsingExperimenter",
"line_num... |
20386304014 | # -*- coding: utf-8 -*-
import urllib
import urllib2
import re
import sys
import json
class ObjectConstructor(object):
def __init__(self, index, queryword):
with open('./info/' + str(index) + '.txt', 'r') as f:
self.data = json.load(f)
self.key_words = list(queryword)
def get_... | lanqing30/TinySearchEngine | Main/object_constructor.py | object_constructor.py | py | 988 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "json.load",
"line_number": 12,
"usage_type": "call"
}
] |
20835141370 | from flask import Flask, render_template, request
import numpy as np
import pandas as pd
from sklearn.preprocessing import StandardScaler
from src.pipeline.predict_pipeline import CustomData, PredictPipeline
import warnings
warnings.filterwarnings('ignore')
application = Flask(__name__)
app = application
# @app.ro... | chaitanya-24/Heart-Failure-Prediction | app.py | app.py | py | 1,824 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "flask.re... |
14199707605 | # from pudb import set_trace; set_trace()
from typing import List
class Solution:
def nextGreaterElements(self, nums: List[int]) -> List[int]:
"""LeetCode 503
The same stack solution as in the easier version of this problem. The
only trick is that we need to run the same algorithm twice t... | FanchenBao/leetcode | LeetCode_503.py | LeetCode_503.py | py | 1,201 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "typing.List",
"line_number": 6,
"usage_type": "name"
}
] |
9365086131 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from pyquery import PyQuery
def get_exchange_rate():
html = PyQuery('https://rate.bot.com.tw/xrt?Lang=zh-TW')
currency_names = html('div.hidden-phone').text().split()
bid_filter = 'td.rate-content-cash[data-table="本行現金買入"]'
offer_filer = 'td.rate-content-... | RayShinLee/Line-Bot-currency-crawler | scraper.py | scraper.py | py | 910 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pyquery.PyQuery",
"line_number": 7,
"usage_type": "call"
}
] |
5202171254 |
import argparse
import os
import parser
from functools import partial
import dataset
import evaluate
import longrange
import lovely_tensors as lt
import matplotlib.pyplot as plt
import numpy as np
import torch
import util
import wandb
from tqdm import tqdm
from tqdm.auto import tqdm
lt.monkey_patch()
def train_tr... | akarshkumar0101/transformer-memory | skip/train.py | train.py | py | 13,020 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "lovely_tensors.monkey_patch",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.optim.Adam",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "torch.optim",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "dataset... |
38130439875 | import matplotlib.pyplot as plt
from datetime import datetime, timedelta
import numpy as np
from datetime import datetime, timedelta
from matplotlib.dates import date2num
from floodsystem.analysis import polyfit
def plot_water_levels(station, dates, levels):
"""
Function that plots a graph of the water level ... | ashJA65/FloodWarning | floodsystem/plot.py | plot.py | py | 1,715 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.axhline",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "ma... |
70803677022 | import json, os
from myVars import myCurrentMat
class materialsFile:
"""
More abstract object for the current materials file.
Methods:
get(): Gets and interprets the materials file. Returns a list of material() objects.
getraw(): Gets and de-serializes the object, but that's it. List is in this ... | it-fm/3DPy | Capstone/myFileFxs/myFile.py | myFile.py | py | 3,998 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.path.exists",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "json.JSONDecodeError",
"lin... |
11627943775 | from uuid import UUID
from sqlalchemy.ext.asyncio import AsyncSession
from fastapi import APIRouter, Depends
from fastapi_pagination import Page
from db.database import get_db
from api.employee import services
from api.employee.schemas import (
Employee as SchemaEmloyee,
PostEmployee as SchemaPostEmployee,
... | IMaG1337/inventory_managment | app/api/employee/views.py | views.py | py | 1,864 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.ext.asyncio.AsyncSession",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "fastapi.Depends",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": ... |
28360233447 | """Core game engine logic."""
import ctypes
import enum
import logging
import operator
import textwrap
import importlib.resources
from typing import Iterator
from typing import Literal
from typing import MutableMapping
from typing import Optional
from typing import Tuple
from typing import Union
from PIL import Image, ... | ouroborean/A-A | src/animearena/engine.py | engine.py | py | 20,870 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "importlib.resources.resources.path",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "importlib.resources.resources",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "importlib.resources",
"line_number": 25,
"usage_type": "name"
},
... |
24312087328 | import pygtk
pygtk.require('2.0')
import gtk
from matplotlib.figure import Figure
from matplotlib.backends.backend_gtk import FigureCanvasGTK as FigureCanvas
from seatree.modules.hc.manipulate_hc import ManipulateXYData
class XYDialog:
def __init__(self, title, parent, filename, tmpn, type):
# create matplotlib ... | thwbecker/seatree | python/seatree/modules/hc/xyDialog.py | xyDialog.py | py | 2,352 | python | en | code | 11 | github-code | 7 | [
{
"api_name": "pygtk.require",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "matplotlib.figure.Figure",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.backends.backend_gtk.FigureCanvasGTK",
"line_number": 14,
"usage_type": "call"
},
{
... |
1061438113 | from decimal import Decimal
import unittest
import datetime
import rdflib # needed for eval(repr(...)) below
from rdflib.term import Literal, URIRef, _XSD_DOUBLE, bind, _XSD_BOOLEAN
from rdflib.namespace import XSD
class TestLiteral(unittest.TestCase):
def setUp(self):
pass
def test_repr_apostrophe... | kaocher82/rdflib | test/test_literal.py | test_literal.py | py | 9,191 | python | en | code | null | github-code | 7 | [
{
"api_name": "unittest.TestCase",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "rdflib.Literal",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "rdflib.Literal",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "rdflib.Graph",
... |
3556106510 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
import configparser
import os
import sys
base_path = os.getcwd()
sys.path.append(base_path)
class ReadIni():
# def __init__(self, file_name=None, node=None):
# if file_name == None:
# file_name = base_path + '/config/LocalElement.ini'
# if... | Hasi-liu/SeleniumPythonTest | Util/read_ini.py | read_ini.py | py | 982 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.getcwd",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "configparser.ConfigParser",
... |
3887643631 | import os
from django import forms
from django.forms import ModelForm
from django.core.exceptions import ValidationError
from django.contrib.auth.models import User
from django.contrib.auth.forms import UserCreationForm
from django.template.defaultfilters import filesizeformat
from magic import Magic
from .models impor... | SasView/sasmodel-marketplace | marketplace/forms.py | forms.py | py | 5,292 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "django.forms.FileField",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "os.path.splitext",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
24982279398 | # python3
"""
File name: finding_exit_from_maze.py
Author: Sayuri Monarrez Yesaki
Date created: 04/06/2022
Date last modified: 04/06/2022
Python version: 3.9
A maze is a rectangular grid of cells with walls between some of adjacent cells. You would like to check whether
there is a path from a given cell to a given exi... | SayuriMY/Coursera-AlgorithmsOnGraphs | Reachability/finding_exit_from_maze.py | finding_exit_from_maze.py | py | 3,902 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "typing.List",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 56,
"usage_type": "name"
},
{
"api_name": "sys.stdin.read",
"line_number": 103,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number"... |
30287607536 | # -*- coding: utf-8 -*-
# pylint: disable=arguments-differ, abstract-method
from __future__ import absolute_import
import logging
import torch
LOGGER = logging.getLogger(__name__)
class CrossEntropyLabelSmooth(torch.nn.Module):
def __init__(self, num_classes, epsilon, reduction='avg'):
super(CrossEntro... | wbaek/torchskeleton | skeleton/nn/modules/loss.py | loss.py | py | 993 | python | en | code | 26 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.LogSoftmax",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"li... |
2052918458 | from rest_framework import serializers
from .models import (Ecole, Classe, Eleve, Questionnaire, Commentaire)
# Ecole
class EcoleSerializer(serializers.ModelSerializer):
class Meta:
model = Ecole
fields = (
'id',
'enseignant',
'titre',
'latitude',
... | gnopor/SchoolConsultation | backend/schoolResearch/serialisers.py | serialisers.py | py | 1,953 | python | fr | code | 0 | github-code | 7 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "models.Ecole",
"line_number": 9,
"usage_type": "name"
},
{
... |
32951600622 | import datetime
import pytest
from pydeequ.analyzers import Mean
from sqlmodel import Session
from thoth import repository, service_layer
from thoth.anomaly import AnomalyScoring, Score
from thoth.anomaly.models import SimpleModelFactory
from thoth.anomaly.optimization import AnomalyOptimization, MetricOptimization
f... | rafaelleinio/thoth | tests/integration/thoth/test_service_layer.py | test_service_layer.py | py | 6,832 | python | en | code | 15 | github-code | 7 | [
{
"api_name": "pytest.raises",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "thoth.service_layer._build_repo",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "thoth.service_layer",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "tho... |
34029491748 |
import numpy as np
import torch.nn as nn
import torch
from transformers import DistilBertTokenizerFast, DistilBertModel
from torch.utils.data import Dataset, DataLoader
class BertForRegression(nn.Module):
def __init__(self):
super().__init__()
self.bert = DistilBertModel.from_pretrained('distilbe... | kenkangg/nlp-yelp-reviews | src/modeling/bert.py | bert.py | py | 1,683 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "torch.nn.Module",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "transformers.DistilBertModel.from_pretrained",
"line_number": 12,
"usage_type": "call"
},
{
"api_name... |
28609120168 | # -*- coding: utf-8 -*-
import scrapy
class FinancespiderSpider(scrapy.Spider):
name = 'financespider'
allowed_domains = ['www.yellowpages.com.au']
start_urls = ['https://www.yellowpages.com.au/search/listings?clue=financial+planners&locationClue=&lat=&lon=']
def parse(self, response):
items ... | iamrizwan007/WebScrapingProjects | Financial1/Financial1/spiders/financespider.py | financespider.py | py | 1,342 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "scrapy.Spider",
"line_number": 5,
"usage_type": "attribute"
}
] |
31056495765 | """
2. Написать программу сложения и умножения двух шестнадцатеричных чисел. При этом каждое число представляется как
массив, элементы которого — цифры числа.
Например, пользователь ввёл A2 и C4F. Нужно сохранить их как [‘A’,
‘2’] и [‘C’, ‘4’, ‘F’] соответственно. Сумма чисел из примера: [‘C’, ‘F’, ‘1’], произведение -... | egreenius/ai.algorithms_python | lesson_5/les_5_hw_2.py | les_5_hw_2.py | py | 4,414 | python | ru | code | 0 | github-code | 7 | [
{
"api_name": "collections.deque",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "collections.deq... |
70728477024 | import setuptools
def get_content(*filename):
""" Gets the content of a file and returns it as a string
Args:
filename(str): Name of file to pull content from
Returns:
str: Content from file
"""
content = ""
for file in filename:
with open(file, "r") as full_description:... | Descent098/pyerewolf | setup.py | setup.py | py | 1,131 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "setuptools.setup",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 29,
"usage_type": "call"
}
] |
69958111265 | """
Game controller input for Kivy.
Open game controllers as they become available, expose with full SDL2 API.
"""
# Kivy must open so we can find the symbols,
# or kivyjoy must explicitly link with the same
# kivyjoy2 shared library as kivy.
import kivy.app
from kivy.event import EventDispatcher
from kivy.propertie... | dholth/kivyjoy | kivyjoy/controller.py | controller.py | py | 2,247 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "kivyjoy.JoyDeviceEvent",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "kivyjoy.JoyAxisEvent",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "kivyjoy.JoyHatEvent",
"line_number": 23,
"usage_type": "attribute"
},
{
"ap... |
27416403757 | #!/usr/local/bin/python
#
# Lane change simulation
import os
from PIL import Image
import matplotlib as mpl
mpl.use('tkagg')
import matplotlib.animation as animation
import matplotlib.pyplot as plt
import time
import pdb
from pdb import set_trace as st
from car import Car
import numpy as np
from numpy import cos, sin,... | abadithela/layered_testing | sim.py | sim.py | py | 3,893 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "matplotlib.use",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "car.state",
"line_number":... |
9676009836 | # -*- coding: UTF-8 -*-
from __future__ import unicode_literals, print_function, division
from datetime import datetime
from pprint import pprint
import common
RETRIEVE_COLUMNS = {
0: ('date', lambda v: datetime.strptime(v, '%Y%m%d').date()),
1: ('name', lambda v: v),
2: ('key', lambda v: v),
3: ('modu... | dawncold/mw-utils | process_export.py | process_export.py | py | 1,672 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "common.get_filename",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "common... |
26721520328 | import inspect
import io
from typing import (
TYPE_CHECKING,
Any,
Callable,
Dict,
Iterable,
List,
Optional,
Sequence,
Type,
TypeVar,
Union,
)
import click
import cloup
if TYPE_CHECKING: # pragma: no cover
import click.shell_completion
from cloup.constraints import ... | alexreg/typer-cloup | typer_cloup/models.py | models.py | py | 18,471 | python | en | code | null | github-code | 7 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "typing.Type",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "cloup.Context",
"line... |
2280505817 | # Assignment 12 Analysis -- Emily
'''
-pull out spike and y-layers in image
-(spike) look at distributions of synapse density in the spike across x,y,z
-make old plots prettier/writeup this weekend
-(spike) in old hist graphs, make bin size a function of sample size
-extract image(s) in dataset of y-layers
-talk... | akaseahawk/ArtOfDataScience2016 | code/assignment12_emily.py | assignment12_emily.py | py | 3,046 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "numpy.set_printoptions",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "urllib2.urlopen",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.genfromtxt",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.where",... |
70646222943 | from BulletHero import BulletForHero
import pygame
if __name__ == '__main__':
pygame.init()
window = pygame.display.set_mode([512, 768])
clock = pygame.time.Clock()
# 初始化弹夹
bullets = BulletForHero(window)
while True:
# 清空屏幕
window.fill((0, 0, 0))
# 子弹坐标
bu... | liucz25/pygame-flywar | BulletHeroTest.py | BulletHeroTest.py | py | 607 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pygame.init",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pygame.time.Cloc... |
30678227875 | #!pip install streamlit
import streamlit as st
import pandas as pd
import numpy as np
import pickle
from pycaret.classification import *
st.set_page_config(page_title = 'Simulador - Case Ifood',
layout = 'wide',
initial_sidebar_state = 'expanded')
st.title('Simulador -... | 0verthrive/docker-streamlit-predition | cn-checkpoint2/app.py | app.py | py | 904 | python | pt | code | 0 | github-code | 7 | [
{
"api_name": "streamlit.set_page_config",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "streamlit.title",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "streamlit.expander",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "streamlit... |
35170834536 | import os
import json
import pandas as pd
from datetime import date, datetime
from flask import Flask, Response, request, render_template, send_from_directory, abort, jsonify
import Solver.db as db
import Solver.solver as solver
from Solver.pivot_table import create_pivot_table
from Solver.predictor_futuro import (
... | akouvach/indicadores | app.py | app.py | py | 11,685 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "flask.Flask",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "flask.request.ars.get",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "flask.request... |
14531067186 | import sqlite3,os
cxn = sqlite3.connect('tags.db')
cur = cxn.cursor()
try:
cur.execute('CREATE TABLE filetags(file_path VARCHAR(255), tag VARCHAR(20))')
except:
pass
control=0
#try:
while control!=-1:
print("1) TAG A FILE")
print("2) LIST TAGS")
print("3) LIST FILES")
print("4) FIND FILES BY SINGLE TAG")
print(... | jeffhou/PyQt_test | test.py | test.py | py | 589 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sqlite3.connect",
"line_number": 3,
"usage_type": "call"
}
] |
72573328544 | import numpy as np
from collections import Counter
import matplotlib.pyplot as plt
class DecisionTreeNode(object):
def __init__(self, indices):
self.indices = indices
self.leftChild = None
self.rightChild = None
self.leaf = False
def setSplit(self, splitFeat, splitVal, inform... | pjh2011/RandomForestClasses | decisionTreeClass.py | decisionTreeClass.py | py | 9,153 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "collections.Counter",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "numpy.sort",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_n... |
9720045138 | from structlog.testing import capture_logs
from mo_ldap_import_export.logging import logger
from mo_ldap_import_export.processors import _hide_cpr
def test_hide_cpr():
cpr_string = (
"my cpr no. is 010101-1234. "
"My wife's cpr no. is 0102011235. "
"This is not a cpr-no, but a telephone n... | magenta-aps/os2mo-ldap-import-export | tests/test_logging.py | test_logging.py | py | 1,550 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "mo_ldap_import_export.processors._hide_cpr",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "structlog.testing.capture_logs",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "mo_ldap_import_export.logging.logger.info",
"line_number": 23,
... |
40922304701 | import warnings
import requests
from typing import List
from bs4 import BeautifulSoup
from langchain.docstore.document import Document
class NCCSLoader:
def __init__(self, urls):
self.urls = urls
def scrap_url(self, url: str) -> Document:
response = requests.get(url)
soup = B... | ChanMunFai/querychatbot | loaders.py | loaders.py | py | 917 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "langchain.docstore.document.Document",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "l... |
71091189665 | from decimal import Decimal
import pytest
from wightinvoices.invoice import models
def create_invoice():
client = models.Client(name='a', address='b')
client.save()
from django.contrib.auth import get_user_model
user, created = get_user_model().objects.get_or_create(username='admin')
invoice = m... | linovia/wight-invoices | tests/unitary/test_invoice.py | test_invoice.py | py | 1,188 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "wightinvoices.invoice.models.Client",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "wightinvoices.invoice.models",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 11,
"usage_type": "cal... |
26043384778 | import os
import time
import numpy as np
from skimage import io, feature
"""
只需要求出小人的位置，和屏幕中心的位置，就可以实现自动跳跃
万变不离其宗，不论目标方块如何变化，中心法则肯定是正确的
"""
# 把adb命令添加到环境变量
os.environ['path'] += ";" + os.path.abspath("./adb/")
# 是否调试，如果调试，保存截图
debug = True
img_count = 0 # 图片编号
person = (63, 53, 81) # 小人的颜色
center = (650, 373) # 中心... | weiyinfu/wechat_jump | android自动.py | android自动.py | py | 2,010 | python | zh | code | 0 | github-code | 7 | [
{
"api_name": "os.environ",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_... |
24563419497 | """Agent for working with pandas objects."""
from typing import Any, Dict, List, Optional
from langchain.agents.agent import AgentExecutor
from langchain.agents.mrkl.base import ZeroShotAgent
from langchain.callbacks.base import BaseCallbackManager
from langchain.chains.llm import LLMChain
from langchain.llms.base imp... | langchain-ai/langchain | libs/experimental/langchain_experimental/agents/agent_toolkits/spark/base.py | base.py | py | 2,750 | python | en | code | 68,990 | github-code | 7 | [
{
"api_name": "typing.Any",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "pyspark.sql.DataFrame",
"line_number": 18,
"usage_type": "argument"
},
{
"api_name": "typing.Any",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "pyspark.sql.connect.d... |
15855434797 | from .models import Post
from django.shortcuts import render, get_object_or_404
from .forms import PostForm
from django.utils import timezone
from django.shortcuts import redirect
from django.http import HttpResponse
from django.http import JsonResponse
from django.core.paginator import EmptyPage, PageNotAnInteger, Pag... | radhac88/SMNS | shiva/Django/blog/views.py | views.py | py | 2,763 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "models.Post.objects.count",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "models.Post.objects",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "models.Post",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "models... |
11527526023 | from typing import Iterable, Set, List, Dict
import os
import logging
from datetime import datetime, timedelta, timezone, date
from dateutil import parser
from functools import wraps
from collections import defaultdict
import time
import re
import html
from flask import jsonify, request, current_app
from werkzeug.secur... | hyplabs/forecast-redacted | backend/server.py | server.py | py | 82,416 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "logging.basicConfig",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "logging.WARN",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "logging.INFO"... |
74478068383 | import random
import matplotlib.pyplot as plt
# Simple rule
def ptesting(N,k):
for i in range(k):
a = random.randint(1,N-1)
if N % a == 0:
return False
return True
# 2nd approach using fermet little theorem
def mod_exp(b,e,m):
ret = 1
while e> 0 :
if e % 2 == ... | MadRajib/Data-Structures | Assignment-III/primality testing/primeTest.py | primeTest.py | py | 937 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "random.randint",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot... |
21141481260 | import os
import sys
import argparse
import time
import requests
import random
import configparser
from picamera import PiCamera
from google.cloud import automl_v1beta1
MODE_AUTO = 'auto'
MODE_MANUAL = 'manual'
def get_prediction(content):
conf = get_predict_conf()
prediction_client = automl_v1beta1.Predict... | kita83/Image-predict | predict.py | predict.py | py | 4,232 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "google.cloud.automl_v1beta1.PredictionServiceClient",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "google.cloud.automl_v1beta1",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "picamera.PiCamera",
"line_number": 30,
"usage_type": "cal... |
30603254976 | from __future__ import division
from __future__ import absolute_import
from __future__ import print_function
from __future__ import unicode_literals
import sys
import os
import argparse
from propeller.service.client import InferenceClient
from propeller import log
import six
import utils.data
from time import time
imp... | PaddleToturial-v2/DeepLearningAndPaddleTutorial-v2 | lesson14/ernie/service/client.py | client.py | py | 4,071 | python | en | code | 23 | github-code | 7 | [
{
"api_name": "propeller.service.client.InferenceClient",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "utils.data.data.CharTokenizer",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "utils.data.data",
"line_number": 28,
"usage_type": "attribute"
}... |
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