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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
37291173233 | #!/usr/bin/env python
''' zeromq server example.
One front facing server and three workers are instantiated.
Front facing server accepts connections from multiple clients and distributes computation requests among workers.
Also it collects computed results from workers and send the result back to the ori... | son98vg/process-manager | server.py | server.py | py | 4,168 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "zmq.Context",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "zmq.ROUTER",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "zmq.DEALER",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "zmq.device",
"line_nu... |
4385543796 | # Databricks notebook source
from azure.storage.blob import BlobServiceClient
import os
import pandas as pd
from pyspark.sql.types import StructField, StructType, StringType
connection_string = "<connection_string>"
service = BlobServiceClient.from_connection_string(conn_str=connection_string)
# COMMAND ----------
v... | fernandodelago/Python | delete_file_on_blob.py | delete_file_on_blob.py | py | 1,862 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "azure.storage.blob.BlobServiceClient.from_connection_string",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "azure.storage.blob.BlobServiceClient",
"line_number": 8,
"usage_type": "name"
}
] |
26406712408 | import os
from setuptools import setup, find_packages
version = "0.1.0"
requirements_file = 'requirements.txt'
with open(requirements_file) as f:
install_requires = f.read().splitlines()
setup(name="deepmeme",
packages=find_packages(),
version=version,
description="Package for accessing the clus... | dogeplusplus/DeepMeme | setup.py | setup.py | py | 808 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "setuptools.setup",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 12,
"usage_type": "call"
}
] |
34543895013 | import os
import time
import traceback
from pyChaining import Chains
from progress_utils_xh import ProgressPinger
from kafka import KafkaAdminClient
from kafka.admin import NewTopic
if __name__ == '__main__':
print(os.environ, flush=True)
brokers = os.getenv("hosts")
print("Broker from env: ", brokers, f... | kafka-study-findings/programming-example | topic-creator/main.py | main.py | py | 1,764 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.environ",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.getenv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pyChaining.Chains.of",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pyChaining.Chains",
... |
73464088222 | import json
from collections import Counter
import timeit
data_file = open('data.json')
data = json.load(data_file)
starttime = timeit.default_timer()
status_list = []
piece_list = []
start_time_list = []
for item in data:
piece_list.append(item["piece_id"])
status_list.append(item["status"])
start_time... | ausbrumm/Interview-Questions | question5.py | question5.py | py | 1,659 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "json.load",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "timeit.default_timer",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "timeit.default_timer... |
71933592863 | import re
from django.conf import settings
from django.contrib.auth import load_backend
from django.core.exceptions import ImproperlyConfigured, PermissionDenied
SESSION_KEY = '_auth_user_id'
BACKEND_SESSION_KEY = '_auth_user_backend'
HASH_SESSION_KEY = '_auth_user_hash'
def get_user(request):
from django.contr... | arcanoix/alondracms | alondra/src/user/__init__.py | __init__.py | py | 726 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.conf.settings.AUTHENTICATION_BACKENDS",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.load_backend",
"line_number": 18,
"usage_type"... |
16127808054 |
from seminars.app import app
from seminars import db
from seminars.categories import categories
from flask import render_template, request
import datetime
from lmfdb.utils import (
SearchArray, TextBox, SelectBox, YesNoBox,
to_dict, search_wrap,
)
class SemSearchArray(SearchArray):
noun = "seminar"
... | alexjbest/seminars | seminars/homepage/main.py | main.py | py | 3,101 | python | en | code | null | github-code | 7 | [
{
"api_name": "lmfdb.utils.SearchArray",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "lmfdb.utils.SelectBox",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "seminars.categories.categories",
"line_number": 21,
"usage_type": "name"
},
{
"api_... |
31975811187 | # -*- coding: utf-8 -*-
# --------------------------------- #
# Author: Anemily Sippola #
# Python Version: 3.10.4 #
# Created on: 2023-01-31 #
# --------------------------------- #
"""
Essentially just wraps an actual model and outputs the loss and predictions
"""
import torch
from ... | vsippola/nmle_ML_tools | models/definition/singleclass_classification.py | singleclass_classification.py | py | 2,383 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "custom_nn_module.CustomNNModule",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "torch.no_grad",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "torch.nn.functional.softmax",
"line_number": 70,
"usage_type": "call"
},
{
"api_nam... |
39781074893 |
from flask import Blueprint, redirect, request, jsonify
from app.models import db, User, Post, Comment, FriendRequest
from flask_login import current_user
from app.forms import FriendForm
from sqlalchemy import or_, and_
friend_routes = Blueprint('requests', __name__, url_prefix="/requests")
@friend_routes.route('')... | Waseemalame/Phasebook | app/api/friend_routes.py | friend_routes.py | py | 2,601 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "flask.Blueprint",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "app.models.User.query.join",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "app.models.FriendRequest",
"line_number": 12,
"usage_type": "argument"
},
{
"api_name":... |
32389318133 | # -*- coding: utf-8 -*-
"""
Created on Tue Jan 31 15:35:55 2023
@author: chggo
"""
import matplotlib.pyplot as plt
import matplotlib.colors as mcolors
import cv2
import numpy as np
import os
import math
class ProcessImages():
def __init__(self,dumpImg,resultPath,gamma=2.5):
self.dumpImg=dumpImg
... | geeta395/bystronic | src/topics/pierce/common/visualization/processImages.py | processImages.py | py | 2,336 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "numpy.round",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "cv2.resize",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "cv2.putText",
"line_number"... |
18012989740 | # iris cnn cp
from sklearn.datasets import load_iris
from tensorflow.keras.utils import to_categorical
from tensorflow.keras.models import Sequential, Model
from tensorflow.keras.layers import Dropout, Dense
from tensorflow.keras.layers import Conv2D, Flatten, MaxPool2D
from sklearn.preprocessing import StandardScaler... | osy1223/bit_seoul | keras/keras49_cp_6_iris.py | keras49_cp_6_iris.py | py | 2,951 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sklearn.datasets.load_iris",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.StandardScaler",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 29,
"usage_type... |
7071721251 | #!/usr/bin/env python
import glob
import os
import pandas as pd
import json
import nltk
from nltk.tokenize import MWETokenizer
from utils import int2str_label, get_rel_stance_label, get_pronouns, get_fulltext, read_quote_json, mv_files
PRONOUNS = get_pronouns()
# Create MWE Tokenizer for special words
tk = MWETokeni... | yiweiluo/GWStance | 4_analyses/0_process_predictions.py | 0_process_predictions.py | py | 8,825 | python | en | code | 11 | github-code | 7 | [
{
"api_name": "utils.get_pronouns",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "nltk.tokenize.MWETokenizer",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "utils.read_quote_json",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "n... |
10739116754 | from sympy import Matrix
from sympy.solvers import solve
from fractions import Fraction
from Molecules import Molecule
import math
import re
# modos: redox(ácido y básico), ácido-base, desplazamiento, dismutación
# cuando falta algo de algún lado?
# cargas?
# si hay más de una opción? cómo elegir
class Reaction:
... | AR0gger/BalanceQ | Balance.py | Balance.py | py | 4,650 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "Molecules.Molecule",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "Molecules.Molecule",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "re.split",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "sympy.Matrix",
"li... |
72356668703 | from typing import NamedTuple
class Segment(NamedTuple):
start: int
end: int
def fully_contains(self, other: 'Segment'):
return self.start <= other.start and self.end >= other.end
def overlaps(self, other: 'Segment'):
return not (self.start > other.end or self.end < other.start)
de... | leotrubach/aocsolutions | python/day04/solution.py | solution.py | py | 1,030 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "typing.NamedTuple",
"line_number": 4,
"usage_type": "name"
}
] |
21904731099 | #Final version
from itertools import combinations as combi
def solution(n,k):
#The cap on number of each key type (kcap) in circulation is given by n-(k-1)
kcap = n-(k-1)
#lets make a matrix giving all posible ways of sampling kcap from a vector of length n.
subsets = list(combi(list(range... | TheScarletBadger/My-Foo.Bar-Challenge-Entries | FreeTheBunnyPrisonersFinal.py | FreeTheBunnyPrisonersFinal.py | py | 811 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "itertools.combinations",
"line_number": 9,
"usage_type": "call"
}
] |
36085598621 | #!/usr/bin/python
import re
import sys
import pefile
import struct
import binascii
import subprocess
class Symbol(object):
def __init__(self, sec, offset, name):
self.sec = sec
self.offset = offset
self.name = name
class Section(object):
def __init__(self, offset, length, name, kind):
self.offset = offset
... | night199uk/gdb-symbol-maker | symbols.py | symbols.py | py | 4,269 | python | en | code | 10 | github-code | 7 | [
{
"api_name": "sys.argv",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "pefile.PE",
"line_numbe... |
618997671 | from aws_cdk import core, aws_codedeploy as codedeploy, aws_lambda as lambda_
from datetime import datetime
class LambdaStack(core.Stack):
def __init__(self, app: core.App, id: str, **kwargs):
super().__init__(app, id, **kwargs)
# [ Lambda: Code ]
#
# This represents the code to ... | jordancannon88/cdk-lambda-pipeline | stacks/pipeline/lambda_stack.py | lambda_stack.py | py | 1,595 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "aws_cdk.core.Stack",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "aws_cdk.core",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "aws_cdk.core.App",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "aws_cdk.core"... |
35679927886 | """Test the ORM's `Path` model."""
import json
import googlemaps
import pytest
import sqlalchemy as sqla
from geopy import distance
from sqlalchemy import exc as sa_exc
from urban_meal_delivery import db
from urban_meal_delivery.db import utils
@pytest.fixture
def another_address(make_address):
"""Another `Add... | webartifex/urban-meal-delivery | tests/db/test_addresses_addresses.py | test_addresses_addresses.py | py | 28,919 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "pytest.fixture",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "geopy.distance.great_circle",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "geopy.distance",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "json.d... |
74663316702 | from downpour.download import Status
from downpour.core import models
from twisted.internet import defer, threads
from time import time
from datetime import datetime
from dateutil.parser import parse as parsedate
import logging, os, re, mimetypes, shutil
mediatypes = {
'audio/music': 'Music',
'audio/podcast': ... | jjongsma/downpour | downpour/core/organizer.py | organizer.py | py | 17,486 | python | en | code | 7 | github-code | 7 | [
{
"api_name": "re.compile",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "re.IGNORECASE",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "re.compile",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "re.IGNORECASE",
"line_nu... |
72046017502 | import argparse
import os
from config import Config
import modules.preprocess as preprocess
from modules.algorithm import Algorithm
def main():
parser = argparse.ArgumentParser(description='Concept expansion with snippet')
parser.add_argument('-task', type=str, choices=['extract', 'expand'], required=True)
... | luogan1234/concept-expansion-snippet | main.py | main.py | py | 1,840 | python | en | code | 13 | github-code | 7 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "config.Config",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "modules.preprocess.get_candidates",
"line_number": 26,
"usage_type": "call"
},
{
"api_name":... |
16782134361 | from fastapi import FastAPI
from api.user import UserViewSet
app = FastAPI()
@app.get('/')
async def root():
return {'message': 'Hello World'}
app.include_router(UserViewSet().router)
if __name__ == '__main__':
import uvicorn
uvicorn.run("main:app", port=8001 ,reload=True, workers=4, )
| BilalAlpaslan/fastapi-extviews | examples/example_bigger_app/main.py | main.py | py | 306 | python | en | code | 17 | github-code | 7 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "api.user.UserViewSet",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "uvicorn.run",
"line_number": 17,
"usage_type": "call"
}
] |
74627948381 | #!/usr/bin/env python3
from itertools import islice, product
DATA_PATH = "../input/2020/day1.txt"
with open(DATA_PATH, "rt") as data_file:
int_list = [
int(val.replace("\n", "")) for val in data_file.readlines()
if val != "\n"
]
for i, o in product(int_list, int_list):
if i + ... | Laura7089/advent-of-code | aoc2020/src/day1.py | day1.py | py | 389 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "itertools.product",
"line_number": 12,
"usage_type": "call"
}
] |
43129013872 | import sqlite3
from . import sql
from . import views
from . import exceptions
from . import makes
class DoxygenSQLite3(object):
"""TODO"""
indexpage = None
connection = None
types = None
def __init__(
self,
uri,
type_factory=makes.default_types,
atom_factory=make... | abathur/doxy_db | doxy_db/db.py | db.py | py | 10,520 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "sqlite3.connect",
"line_number": 28,
"usage_type": "call"
}
] |
70650556702 | from .pypp import preprocess
from ast import literal_eval
class AbstractConnection(object):
def __init__(self, **kwargs):
pass
def strbuilder(self):
result = ""
def builder(s = None):
nonlocal result
if s is not None:
result = "%s%s\n" % (result, s)
return result
return bu... | calcu16/lamPy | scripts/db.py | db.py | py | 2,493 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "ast.literal_eval",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "ast.literal_eval",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pypp.preprocess",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
... |
16572201375 | from requests import get
from bs4 import BeautifulSoup
import pandas as pd
def get_ratings(url, season:int):
series_episodes = []
# For every season in the series-- range depends on the show
for sn in range(1,season+1):
# Request from the server the content of the web page by using get(), and... | Alassea0/DTA_Thesis_speaker-diarization | Used_by_me/web_scraping_8.py | web_scraping_8.py | py | 2,778 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 34,
"usage_type": "call"
}
] |
42508024823 | from radical import entk
import os, glob
import argparse, sys
class ESMACS_TIES(object):
def __init__(self):
self.set_argparse()
self._set_rmq()
self.am = entk.AppManager(hostname=self.rmq_hostname, port=self.rmq_port, username=self.rmq_username, password=self.rmq_password)
#pipeli... | 2019-ncovgroup/DrugWorkflows | workflow-3-4/hybridwf.py | hybridwf.py | py | 7,274 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "radical.entk.AppManager",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "radical.entk",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "radical.entk.Pipeline",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "radical.en... |
11237786177 | import re
import torch
import joblib
import numpy as np
import itertools
import unicodedata
import torch.nn as nn
# from torch.nn import NLLLoss
from nltk.tokenize import word_tokenize
from Vocabulary import Vocabulary
from Encoder import EncoderRNN
from Decoder import DecoderRNN
# convert unicode string to ASCII, f... | azfar-imtiaz/GrammarCorrection | cornell_movie_dialogs_corpus/utils.py | utils.py | py | 5,679 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "unicodedata.normalize",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "unicodedata.category",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_... |
14869403 | # Databricks notebook source
# MAGIC %run "../includes/configuration"
# COMMAND ----------
# MAGIC %run "../includes/common_functions"
# COMMAND ----------
dbutils.widgets.text("p_file_date","")
v_file_date = dbutils.widgets.get("p_file_date")
v_file_date
# COMMAND ----------
race_result_df = spark.read.format("d... | MihirOjha/Formula1_Data_Engineering | transformation/constructor_standing.py | constructor_standing.py | py | 2,197 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pyspark.sql.functions.col",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.functions.sum",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.functions.count",
"line_number": 45,
"usage_type": "call"
},
{
"a... |
13730272922 | __author__ = 'tomstelk'
import sqlite3
db_name='buy2letDB.sqlite'
zooplaTable='ZooplaPrices'
conn = sqlite3.connect(db_name)
c=conn.cursor()
c.execute('DROP TABLE IF EXISTS ' + zooplaTable)
c.execute('CREATE TABLE ' + zooplaTable + ' (zpID int NOT NULL, zpPrice int NOT NULL, zpAddress varchar(255), zpPostCode va... | tomstelk/BuyToLet-Tool | createZooplaPricesTable.py | createZooplaPricesTable.py | py | 418 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sqlite3.connect",
"line_number": 5,
"usage_type": "call"
}
] |
10114985502 | import datetime
import unittest
import requests
import json
import logging
from django.conf import settings
from django.utils import timezone
from app.utils.types import parseInt, parse_date, parse_date_next
import app.utils.klx_api as klx
from app.utils import smsUtil, excel
from staff.views import _try_send_sms
_... | malaonline/Server | server/app/cold_tests.py | cold_tests.py | py | 6,255 | python | en | code | 9 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "unittest.TestCase",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "app.utils.types.parseInt",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "app... |
7757466813 | # -*- coding: utf-8 -*-
import sys
from PyQt5.QtWidgets import QApplication, QDialog, QGridLayout, QMessageBox, QLabel, QPushButton, QLineEdit, QSpinBox
from PyQt5 import uic
from PyQt5.QtSql import QSqlDatabase, QSqlQuery
class Dialogo(QDialog):
def __init__(self):
QDialog.__init__(self)
self.set... | vpino/python-Qtyi | Qtsql.pyw | Qtsql.pyw | pyw | 4,617 | python | es | code | 0 | github-code | 7 | [
{
"api_name": "PyQt5.QtWidgets.QDialog",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QDialog.__init__",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QDialog",
"line_number": 10,
"usage_type": "name"
},
{
"a... |
27445272897 | # -*- coding: utf-8 -*-
"""
create on 2020-04-16 16:09
author @66492
"""
import warnings
import numpy as np
from leet.ml import activations, losses
def _check_X_y(X, y):
return
class LogisticRegression(object):
def __init__(self, *, C=1.0, fit_interception=True, tol=1e-4, max_iter=100):
self.C = C... | Syhen/leet-code | leet/ml/linear.py | linear.py | py | 3,920 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "numpy.random.random",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.random.random... |
27173090622 | import argparse
import numpy as np
import collections
#-----------------------------------------
def parse_args():
parser = argparse.ArgumentParser(description="Run VHIs code")
parser.add_argument('--data', type=str, default='312_747', help='choose one of the datasets 728_129 32_119 312_747 1380_221')
return par... | Daiqh1/PHINNE | load_datasets.py | load_datasets.py | py | 3,225 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.arra... |
35465790345 | from wsgiref.simple_server import make_server
from pyramid.config import Configurator
import views
import os
from db import Session as DBSession
def manageSession(request):
session = DBSession()
def closeSession(request):
session.close()
request.add_finished_callback(closeSession)
return session
if... | happyherp/littlethings | webwatch/server.py | server.py | py | 1,170 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "db.Session",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logconfig.setup",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
42349376695 | from rest_framework.views import APIView
from rest_framework.response import Response
from rest_framework import status
from apphos.serializadores.Ser_Familiar import familiarserializer
from apphos.models.Familiar import Familiar
class detailfamiliarview(APIView):
def get(self, request, pk, format=None):
... | willintongavilan/proyect-e2 | apphos/views/detail_familiarview.py | detail_familiarview.py | py | 954 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "rest_framework.views.APIView",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "apphos.models.Familiar.Familiar.objects.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "apphos.models.Familiar.Familiar.objects",
"line_number": 9,
"usage... |
17821391793 | from aiogram import Router
from aiogram.filters import Command, CommandStart
from aiogram.fsm.context import FSMContext
from aiogram.types import Message
from aiogram.utils.markdown import hbold
from hpc_bot.exceptions import ExistChatError
from hpc_bot.telegram.fsm import UserMode
from hpc_bot.telegram.manager import... | aeroshev/LLM-HPCLab-Telegram-Bot | src/hpc_bot/telegram/command_hadlers.py | command_hadlers.py | py | 3,833 | python | ru | code | 0 | github-code | 7 | [
{
"api_name": "aiogram.Router",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "aiogram.types.Message",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "hpc_bot.telegram.manager.ModelManager",
"line_number": 24,
"usage_type": "name"
},
{
"api_na... |
9039243740 | from dagster import (
AssetKey,
DefaultSensorStatus,
EventLogEntry,
RunRequest,
SensorEvaluationContext,
asset_sensor,
)
from medallion_weather.jobs import all_assets_job
from medallion_weather.resources.configs import define_all_assets_job_run_config
@asset_sensor(
asset_key=AssetKey(["G... | tsungchih/medallion | medallion-weather/medallion_weather/sensors/asset_sensors.py | asset_sensors.py | py | 1,067 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "dagster.SensorEvaluationContext",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "dagster.EventLogEntry",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "medallion_weather.resources.configs.define_all_assets_job_run_config",
"line_number": 2... |
12878401129 | """
一つのフォルダにある複数Excelブックの調書の施設名とか高さを一つのExcelに一覧にしたいときに使うが、微妙微妙微妙…
pandasを使ったほうが、きれいになるかと思ったが…
range_copy_from_multipul_sheets.pyを使ったほうが無難
"""
import os
import pandas
import xlwt
import xlrd
import itertools
import glob
from tqdm import tqdm
dir = "D:/三八DB/02収集資料/区域調書_移動不可/*.xls*" # 集計したいExcelが入っているフォルダ... | TGitGit/scratches | copy/range_copy_pandas_Ver.py | range_copy_pandas_Ver.py | py | 5,301 | python | ja | code | 0 | github-code | 7 | [
{
"api_name": "xlwt.Workbook",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pandas.read_excel",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "xlrd.biffh",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "itertools.chain.from_... |
20573377317 | from redis import Redis
if __name__ == '__main__':
try:
redis_client = Redis(host="192.168.84.128", port=6379, decode_responses=True)
result = redis_client.get("name5")
print(result, type(result))
# str1 = result.decode("utf-8")
# print(str1, type(str1))
except Exception... | xiyangxitian1/learn_days | redis01/redis_get.py | redis_get.py | py | 344 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "redis.Redis",
"line_number": 5,
"usage_type": "call"
}
] |
69925438942 | #!/bin/env python3
"""Convert giellalt dict to apertium bidix."""
import sys
import xml.etree.ElementTree
from argparse import ArgumentParser, FileType
from typing import TextIO
def giella2apes(giella: str) -> str:
"""Convert pos tag from giellalt dict to apertium."""
if giella == "Adv":
return "adv"... | giellalt/giella-core | scripts/giellalt2apes.py | giellalt2apes.py | py | 9,003 | python | en | code | 7 | github-code | 7 | [
{
"api_name": "xml.etree.ElementTree.etree",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "xml.etree.ElementTree.etree",
"line_number": 72,
"usage_type": "attribute"
},
... |
72864215582 | import torch
import torch.onnx
from collections import OrderedDict
import argparse
from mmcv import Config, DictAction
from mmpose.models import build_posenet
def parse_args():
parser = argparse.ArgumentParser(description='Train a pose model')
parser.add_argument('--config',default="configs/top_down/deeppose/c... | Ascend/ModelZoo-PyTorch | PyTorch/contrib/cv/pose_estimation/DeepPose/pthtar2onnx.py | pthtar2onnx.py | py | 894 | python | en | code | 31 | github-code | 7 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "mmcv.Config.fromfile",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "mmcv.Config",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "mmpose.models... |
74160507423 | """
Unit and regression test for the pyIsoP package.
"""
# Uses the pytest fixtures decorator to take the energy grid and use it for a series of tests including
# values, writing, isotherms and etc
# Import package, test suite, and other packages as needed
import pyIsoP
import pytest
import sys
#%%
def test_pyIsoP_im... | arung-northwestern/pyIsoP | pyIsoP/tests/test_pyIsoP.py | test_pyIsoP.py | py | 6,587 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "sys.modules",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "pyIsoP.__file__",
"... |
37520417721 | from LOTUS_regression.regression import mzm_regression
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import datetime
from LOTUS_regression.predictors.seasonal import add_seasonal_components
''' Code to apply MLR, ILT or new predictors to the Uccle data
For data/model montly mean plots you... | denizpoyraz/MLR_Uccle | MLR_TotalO3.py | MLR_TotalO3.py | py | 10,592 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "matplotlib.pyplot.close",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "... |
20305275782 | #!bin/python
import sys, pygame, time
import numpy as np
from sprites import *
from engine import *
from player import *
Engine.collision_pairs.append(["demons","players"])
Engine.collision_pairs.append(["demons","draw"])
@Engine.addGroup
class Demons(pygame.sprite.Group):
name="demons"
Engine.collision_p... | ajwittmond/MuGameJam2019 | demon.py | demon.py | py | 4,176 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pygame.sprite",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pygame.image.load",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"... |
21250173303 | import seaborn as sns
import numpy as np
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import matplotlib.cbook as cbook
import datetime
sns.set_style("darkgrid")
df = pd.read_csv("ibex_35.csv")
df = df.dropna()
log_returns = np.diff(np.log(df["Close"].value... | XabierGA/Ising_Econophysics | Data/log_returns.py | log_returns.py | py | 1,130 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "seaborn.set_style",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.diff",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.log",
"line_nu... |
71655470623 | from django.shortcuts import get_object_or_404, redirect
from django.urls import reverse, reverse_lazy
from django.contrib.auth.mixins import LoginRequiredMixin
from django.views.generic import TemplateView, DetailView
from django.views.generic.edit import CreateView, UpdateView, DeleteView
from django.views.generic im... | eltimccc/globalcrm | globalcrm/tasks/views.py | views.py | py | 9,943 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "django.views.generic.TemplateView",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "models.Task.objects.all",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "models.Task.objects",
"line_number": 26,
"usage_type": "attribute"
},
{
... |
73406337182 | from mdeditor.fields import MDTextField
from solo.models import SingletonModel
from django.db import models
from django.urls import reverse
from TgAdmin.constants import Const
class Chat(models.Model):
class Meta:
verbose_name = 'Название чата'
verbose_name_plural = 'Названия чатов'
chat_id... | dedalus-3/django-telegram | TgAdmin/models.py | models.py | py | 6,997 | python | ru | code | 0 | github-code | 7 | [
{
"api_name": "django.db.models.Model",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 15,
"usage_type": "call"
},
{
"api_name"... |
4204474458 | ## Simple Linear Regression
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
## Importing the DataSets
df = pd.read_csv('Salary_Data.csv')
X = df.iloc[:, 0:1].values
y = df.iloc[:, -1:].values
# Training the Data
from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y... | prashantkgajjar/Machine-Learning-Essentials | 2. Simple Linear Regression.py | 2. Simple Linear Regression.py | py | 1,393 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.LinearRegression",
"line_number": 38,
"usage_type": "call"
... |
36266269725 | import requests
from bs4 import BeautifulSoup
url = 'https://conjugator.reverso.net/conjugation-german-verb-%20machen.html'
resp = requests.get(url)
soup = BeautifulSoup(resp.text, features="lxml", from_encoding='utf-8')
divTag=soup.find_all("div", {"class": "blue-box-wrap"})
#person=divTag.find_all("i", {"class": "gr... | Cap-n-Proud/German-Verb-Anki-Card-Creator | History/soup3.py | soup3.py | py | 1,630 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "requests.get",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 5,
"usage_type": "call"
}
] |
74101853022 | from pandas import DataFrame
from typing import Callable, Union
from factor.base import BaseFactor
from data_manager.TradeHoldDataManager import TradeHoldDataManager
class BaseTradeHoldFactor(BaseFactor):
"""
成交持仓因子基类
"""
def __init__(self, **params) -> None:
"""Constructor"""
super().... | algo21-219040029/Assignment3 | factor/TradeHoldFactor/base.py | base.py | py | 2,096 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "factor.base.BaseFactor",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "data_manager.TradeHoldDataManager.TradeHoldDataManager",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "pandas.DataFrame",
"line_number": 33,
"usage_type": "name"
... |
14199521852 | """empty message
Revision ID: b5658f866fa4
Revises: a5a5e318846c
Create Date: 2021-06-23 01:56:29.504114
"""
from alembic import op
import sqlalchemy as sa
from forms import genres
# revision identifiers, used by Alembic.
revision = 'b5658f866fa4'
down_revision = 'a5a5e318846c'
branch_labels = None
depends_on = Non... | heyzooi/udacity-FSND-Fyyur | migrations/versions/b5658f866fa4_.py | b5658f866fa4_.py | py | 2,096 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "alembic.op.drop_table",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "alembic.op.drop_table",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "alembic.op",
... |
12823492753 | import math
import torch
import torch.nn as nn
import numpy as np
from utils.tools import get_mask_from_lengths, pad, reparameterize
from .blocks import (
Flip,
LinearNorm,
ConvBlock,
ConvTransposeBlock,
NonCausalWaveNet,
)
class VariationalGenerator(nn.Module):
""" Variational Generator ""... | keonlee9420/PortaSpeech | model/variational_generator.py | variational_generator.py | py | 13,124 | python | en | code | 310 | github-code | 7 | [
{
"api_name": "torch.nn.Module",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "blocks.ConvBlock",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "torch.nn.utils.weight_... |
8942290812 | #!/usr/bin/python3
# -*- coding: utf-8 -*-
import sys, os
from PyQt5.QtWidgets import QWidget, QDesktopWidget, QApplication, QMainWindow, QFrame, QTableView, QVBoxLayout, QAbstractItemView, QFileDialog, QAction, QMessageBox
from PyQt5 import QtGui, QtCore
import csv
import shutil
import re
import unicodedata
import pp... | petfactory/PyQt5 | dragDropTableView/dragDropTableView.py | dragDropTableView.py | py | 10,504 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "PyQt5.QtWidgets.QTableView",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.pyqtSignal",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtCore",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "PyQt5... |
24655659452 | import redis
import time
import datetime
import numpy as np
from bokeh.plotting import figure, output_file, show, HBox, VBox
from bokeh.document import Document
""" 1. Create a redis database object - redis_object
2. Pull 60 most recent temp values from redis db redis_object.zrange()
3. Convert the redis data ... | thaong/temp_manager | redis_to_html.py | redis_to_html.py | py | 5,528 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "time.strptime",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "time.mktime",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.fromtimestamp",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "datetime.da... |
35200822660 | import logging
base_config = {
'trainer': 'multitask',
'lr': 5e-5, # only for bert for now
'weight_decay': 0.01,
'warmup_steps': 100, # number of steps to warm up for learning rate scheduler
'collapse_domains': True, # whether to load all datasets together or individually
'epochs': 3,
'batc... | AmanDaVinci/meta-learning-few-shot-domain-adaptation | configs/base_config.py | base_config.py | py | 1,549 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "logging.INFO",
"line_number": 28,
"usage_type": "attribute"
}
] |
42575898908 | #! usr/bin/env python
import wx
class windowClass(wx.Frame):
def __init__(self, *args, **kwargs):
super(windowClass, self).__init__(*args, **kwargs)
self.basicGUI()
def basicGUI(self):
panel = wx.Panel(self) # Create text box
menuBar = wx.MenuBar() # Create menu bar
fileButton = wx.Menu() # creates si... | dvbridges/wxPython | panels.py | panels.py | py | 920 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "wx.Frame",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "wx.Panel",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "wx.MenuBar",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "wx.Menu",
"line_number": 16,
... |
19094552511 | import os
from setuptools import setup, find_packages
import nomos
with open(os.path.join(os.path.dirname(__file__), 'README.rst')) as f:
readme = f.read()
setup(name='nomos',
version=nomos.__version__,
description='nomos',
long_description=readme,
author="Thomas Huang",
url='http... | whiteclover/Nomos | setup.py | setup.py | py | 864 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "os.path.join",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_n... |
30458253073 | import itertools as it
import random
import numpy as np
import slith
import copy
EMPTY = -1
OUT_OF_BOARD = -2
UP = 1
DOWN = 2
RIGHT = 3
LEFT = 4
ALL_DIRS = [
[-1, 0],
[1, 0],
[0, -1],
[0, 1]
]
OFFSET_TO_DIR = {
(-1, 0): UP,
(1, 0): DOWN,
(0, 1): RIGHT,
(0, -1): LEFT
}
class Boa... | paulinapp/SlitherlinkEtc | slither link/main/genslither.py | genslither.py | py | 9,027 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "itertools.product",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "slith.face_to_edges",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "itertools.product",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "slith.face_to... |
30901080869 | #!/usr/bin/env python
import cgi
import logging
import optparse
import sys
import feather.wsgi
DEFAULT_HOST = ""
DEFAULT_PORT = 9000
def xss_scrub(data):
return data.replace("&", "&").replace(">", ">").replace("<", "<")
def wsgiapp(environ, start_response):
if environ['PATH_INFO'] == '/':
... | teepark/feather | examples/wsgiapptest.py | wsgiapptest.py | py | 1,817 | python | en | code | 6 | github-code | 7 | [
{
"api_name": "cgi.parse_qsl",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "optparse.OptionParser",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "feather.wsgi.wsgi.serve",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "feather.w... |
24252202545 | # Data cleanup routines for IIMC APDS03 Project for Group 8
# This script performs the following activiites from the CVE Vulnerabilities dataset
#
# 1. Downloads Top 50 Vendors from CVE - Details
# 2. Download the CVE-ID's of top 50 vendors page by page and concatenate into a singls csv file
# 3.Remove blank CVS3 & C... | sai-yanamandra/MLModelling | datacollection/GetVendors.py | GetVendors.py | py | 2,787 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "requests.get",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pandas.read_html",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_num... |
39578786987 |
from __future__ import division
from __future__ import print_function
from __future__ import absolute_import
from __future__ import unicode_literals
import os
import numpy as np
import IPython
import tensorflow as tf
import models.experiments as experiments
import models.experiments_ifif as experiments_ifif
import... | OpenXAIProject/Interactive_Attention_Learning | train.py | train.py | py | 4,744 | python | en | code | 12 | github-code | 7 | [
{
"api_name": "collections.namedtuple",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "models.load_data.Load_Data",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 38,
"usage_type": "call"
},
{
"api_name... |
32643087267 | import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation
from IPython.display import HTML
from numba import jit, types
from scipy.sparse import diags
matplotlib.rcParams['animation.embed_limit'] = 2**128
#===============================================================================
... | Stefanochsenfeld/Bachelor-thesis-code | Bachelor/Wave_func_propagation.py | Wave_func_propagation.py | py | 5,579 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "numpy.pi",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "numpy.e... |
803859908 | from fractions import Fraction
def isPrime(n):
return [1] == [i for i in range(1,n) if n % i == 0]
primelist = [1 if isPrime(i) else -1 for i in range(501)]
frog = [1,1,1,1,-1,-1,1,1,1,-1,1,1,-1,1,-1]
getProb = lambda a,b: Fraction(1,2) + Fraction(a*b,6)
accumulator = [0] + [Fraction(1,500)]*500
for i in range(... | fonsp/project-euler | Problem 329/program.py | program.py | py | 1,098 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "fractions.Fraction",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "fractions.Fraction",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "fractions.Fraction",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "fractions.Fra... |
25939513209 | # ##### BEGIN GPL LICENSE BLOCK #####
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distrib... | oroosvall/swizzle | blender_script/io_mesh_swm/__init__.py | __init__.py | py | 5,550 | python | en | code | 5 | github-code | 7 | [
{
"api_name": "importlib.reload",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "bpy.types",
"line_number": 50,
"usage_type": "attribute"
},
{
"api_name": "bpy.types",
"line_number": 77,
"usage_type": "attribute"
},
{
"api_name": "bpy.types",
"line_... |
11069895146 |
import torch
import torch.nn as nn
import torch.nn.functional as F
class EncoderGRU(nn.Module):
def __init__(self, emb_dim, bidirectional, vocab_size):
super().__init__()
self.bidirectional = bidirectional
self.embed = nn.Embedding(embedding_dim=emb_dim, padding_idx=0, num_embeddings=voc... | Jimin9401/nlp_tasks | NMT/neural_machine_translation_by_jointly_learning_to_align_and_translate/model.py | model.py | py | 5,829 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "torch.nn.Module",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torch.nn.Embedding",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_n... |
22036083653 | """ Module for training the bot """
# modified code from the official spacy documentation
# reference at https://spacy.io/usage/examples
# section: 'Training a custom parser for chat intent semantics'
import json
from random import shuffle as random_shuffle
from spacy.util import compounding, minibatch
def create... | emileKing/nova-bot | nova/trainer.py | trainer.py | py | 2,282 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "random.shuffle",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "spacy.util.minibatch",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "spacy.util.compounding",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "json.load"... |
649195610 | import io
from flask import jsonify
from google.cloud import storage, vision
from PIL import Image
vision_client = vision.ImageAnnotatorClient()
storage_client = storage.Client()
def detect_cat(request):
"""
param:
bucket: gcs bucket
resource: gcs bucket resource
returns:
information ... | GoogleCloudPlatform/serverless-expeditions | terraform-serverless/function/main.py | main.py | py | 1,373 | python | en | code | 184 | github-code | 7 | [
{
"api_name": "google.cloud.vision.ImageAnnotatorClient",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "google.cloud.vision",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "google.cloud.storage.Client",
"line_number": 8,
"usage_type": "call"
},
{
... |
25540701785 | import nmap
scanner = nmap.PortScanner()
def get_port(target,port):
res = scanner.scan(target,str(port))
# ip = list(res['scan'].keys())
# target = ip[0]
# status_up_down = res['scan'][target]['status']['state']
# status_open_close = res['scan'][target]['tcp'][port]['state']
# name... | SanjayKotabagi/CSUT-Project | logic/nmaplogic.py | nmaplogic.py | py | 1,478 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "nmap.PortScanner",
"line_number": 3,
"usage_type": "call"
}
] |
31900787148 | from numpy.core.fromnumeric import shape
from torch.optim import optimizer
from network_pytorch import *
import cv2, os, time, math
import glob
import scipy.io as io
from loss_pytorch import *
from utils import *
##Pytorch Imports
import torch,gc
from torch.utils.data import DataLoader
from torch.autograd import Varia... | JayKarhade/Neural-Point-Cloud-Rendering | ncpr_ScanNet_train.py | ncpr_ScanNet_train.py | py | 14,665 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "gc.collect",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.cuda.empty_cache",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "torch.device",
... |
35879240595 | from django.db import models
import datetime
# Create your models here.
class TestClass(models.Model):
# name = models.CharField(max_length=64, blank=True)
doc = models.FileField(upload_to='content_video', default='/logos/anonymous.jpg')
# def __str__(self):
# return self.name
class Badge(models.... | MTnes/LC_Backend | main_app/models.py | models.py | py | 3,188 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.db.models.Model",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.db.models.FileField",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "... |
9013661840 |
import numpy as np
from PIL import Image
import cv2
import matplotlib.pyplot as plt
from matplotlib.pyplot import figure
import pickle
import time
from matplotlib import style
import random
import os
style.use("ggplot")
SIZE = 10
allow_show = True
action_space = 4
episodes = 10000
move_penalty = -1
enemy_pe... | gadm21/AI | RL/utils.py | utils.py | py | 4,154 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "matplotlib.style.use",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.style",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "numpy.maximum",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.random.rand... |
31340180389 | from dataclasses import asdict
import datetime as dt
from datetime import datetime, time
from typing import List, Mapping, Tuple, Union
from pathlib import Path
import json
from hashlib import sha256
import aiofiles
from fastapi import APIRouter
# from config import ovr_passwd
from utils.responses import json_obj_res... | cloud11665/vlott | versions/v2/__init__.py | __init__.py | py | 3,504 | python | en | code | 4 | github-code | 7 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "versions.v2.schema.class_id_t",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "datetime.date",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "da... |
33212046565 | from django.shortcuts import render,redirect
from django.template import loader
from .models import Note,NoteList,Message
from django.core import serializers
from django.contrib.auth import authenticate
from django.contrib.auth.decorators import login_required
from .form import NoteListForm,BaseNoteFormSet
from django.... | tfgGG/NotePlatForm | upload/views.py | views.py | py | 12,046 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "hashids.Hashids",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "hashids.Hashids",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "hashids.Hashids",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "django.conf.settings.... |
36585290282 | #---==IMPORTS==---
from discord.ext import commands
#---==COMMANDS==---
class member(commands.Cog):
def __init__(self, bot):
self.bot = bot
@commands.Cog.listener()
async def on_member_join(self, member):
"""Welcomes a new member."""
channel = member.guild.system_channel
if... | alexjonesdev/BaaS | Discord/modules/member.py | member.py | py | 716 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "discord.ext.commands.Cog.listener",
"line_number": 9,
"usage_type": "call"
},
{
... |
1168516246 | import random
import tqdm
from django.contrib.auth.models import User
from django.core.management.base import BaseCommand
from faker import Faker
from expenses.models import Expense, Category
class Command(BaseCommand):
help = "Creates fake data :-)"
def add_arguments(self, parser):
parser.add_argu... | nonZero/SaveMeMoney | expenses/management/commands/create_fake_data.py | create_fake_data.py | py | 1,394 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "faker.Faker",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "expenses.models.Expense.objects.all",
"line_number": 23,
"usage_type": "call"
},
... |
36844931826 | # coding=utf-8
import networkx as nx
from semantic_similarity_network import *
from candidate_words import *
class BetweenCentrality:
def __init__(self):
self.G = nx.Graph()
self.bcdict = {}
self.nword = {}
def codes_betweeness_centarlity(self, string_sentence):
"""
f... | dl-sdu/Sports-News-Writer | Similiarity/betweenness_centrality.py | betweenness_centrality.py | py | 1,102 | python | en | code | 25 | github-code | 7 | [
{
"api_name": "networkx.Graph",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "networkx.betweenness_centrality",
"line_number": 27,
"usage_type": "call"
}
] |
36930013925 | # Importing Libraries
from functions import *
import matplotlib.pyplot as plt
import pandas as pd
import igraph
from igraph import *
import time
import numpy as np
import json
from modularitydensity.metrics import modularity_density
import community
# Variables to control download of new dataset and
# To control Tempo... | albertolatino/StockMarketEvolution | main.py | main.py | py | 5,168 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pandas.set_option",
"line_number": 87,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 93,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 94,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
... |
28779122841 | import string
import docker
import tempfile
import json
import time
from redis_om import NotFoundError
from src.utils import wait_for_container
from src.core.config import settings
from src.schema.redis import ProjectModel, ResearchModel
class Biogpt():
image_name: str = settings.biogpt_image
network_name: str = 'du... | Munirmohammed/duri_ | api/src/services/biogpt.py | biogpt.py | py | 4,971 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "src.core.config.settings.biogpt_image",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "src.core.config.settings",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "tempfile.mkdtemp",
"line_number": 24,
"usage_type": "call"
},
{
... |
42216455576 | from rest_framework.response import Response
from rest_framework import status
from rest_framework.views import APIView
from management.serializers.NotificationSerializer import NotificationSerializer, NotificationPageSerializer
from pms.models import Notification
from pmsDoctor.models.APIObject import APIObject
cla... | furkanyalcindag/oxit-patientManagementSystem | management/views/NotificationView.py | NotificationView.py | py | 2,426 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "rest_framework.views.APIView",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "management.serializers.NotificationSerializer.NotificationSerializer",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "rest_framework.response.Response",
"line_nu... |
21862150941 | import argparse
import sys
from collections import OrderedDict
ignoreEvn = ['PATH']
serviceOrder = [
'image',
'container_name',
'restart',
'command',
'networks',
'labels',
'logging',
'ports',
'environment',
'volumes',
]
def customOrder(data: dict, items: list):
new_da... | marefati110/docker-esopmoc | utils.py | utils.py | py | 1,226 | python | en | code | 8 | github-code | 7 | [
{
"api_name": "collections.OrderedDict",
"line_number": 26,
"usage_type": "call"
}
] |
8296193259 | from django.shortcuts import get_object_or_404
from django.http import HttpResponse
from django.template import loader
from .models import *
def index(request):
template = loader.get_template('posts/index.html')
post_list = Posts.objects.all()
user_list = User.objects.all()
context = {
'post_l... | dragunov-m/django_doc | posts/views.py | views.py | py | 963 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.template.loader.get_template",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.template.loader",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.http.HttpResponse",
"line_number": 15,
"usage_type": "call"
},
{
... |
40267042318 | """
REW-sploit
emulate_payload
This module is able to identify if a specific flow, identified by
IP and PORT (intended as IP of the Meterpreter C2) is a Meterpreter session
and it tries to decrypt it if possible
"""
import os
import sys
import tempfile
import argparse
import logging
import json
import struct
import... | RedWifiTeam/REW-sploit | modules/emulate_payload.py | emulate_payload.py | py | 20,433 | python | en | code | null | github-code | 7 | [
{
"api_name": "sys.path.append",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 44,
"usage_type": "attribute"
},
{
"api_name": "colorama.init",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"... |
70605826785 | import sys
from time import sleep
# Check if file was given in arguments
if len(sys.argv) <= 2: sys.exit("Please provide a type of agent and file to read the map from as an argument. Example: python ./maze.py random ./maps/map1.json")
type_of_agent = sys.argv[1]
map_name = sys.argv[2]
# Create export Module
from expor... | isabelSoares/AASMA-2021 | code/maze.py | maze.py | py | 3,081 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sys.argv",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 7,
... |
44343436033 | import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap
import sys
from netCDF4 import Dataset
import netCDF4 as nc
#---------------------------------------------------------------
#combine MODIS Monthly mean Dust AOD over ocean (Dr. Yu) and over land (Paul)
#Over Ocean 2000-2017; O... | Qianqian-Song/MODIS_Dust_Product | modis_global_aod_20032016month.py | modis_global_aod_20032016month.py | py | 6,075 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "netCDF4.Dataset",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "netCDF4.Dataset",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.nan",
"line_number": 44,
"usage_type": "attribute"
},
{
"api_name": "numpy.nan",
"line_... |
9218341253 | from Crypto.PublicKey import RSA
from Crypto.Cipher import PKCS1_OAEP, AES
from Crypto.Signature import pkcs1_15
from Crypto.Hash import SHA256
import os
from Crypto.Random import get_random_bytes
RSA_KEY_BITS = 4096
AES_KEY_BITS = 128
def load_server_pub_key(path):
return load_key(path)
def generate_RSA_key_p... | DataNetworkSecurityProject/final_project | source/client/client_utils.py | client_utils.py | py | 2,974 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "Crypto.PublicKey.RSA.generate",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "Crypto.PublicKey.RSA",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.pa... |
21367933527 | # Pequeño progama que utiliza el Módulo de MatPlotLib para generar una gráfica de los ejericicos que he hecho esta semana
# TRACKING DE EJERCICIOS v1
import matplotlib.pyplot as plt
""" Inicializar los parametros """
semanas_Mes = [1,2,3,4] # Eje X
# Dias de la Semana
weekdays = ["Lunes", "Martes", "Miercoles", "J... | SabasGT/Tracking_Ejercicios | ejerciciosSemanal.py | ejerciciosSemanal.py | py | 1,231 | python | es | code | 0 | github-code | 7 | [
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.xlabel",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "mat... |
28301368176 | import typer
from rich.style import Style
from rich.color import Color
from rich.console import Console
from rich.table import Table
from rich.text import Text
import boto3
from mypy_boto3_rekognition.type_defs import DominantColorTypeDef
import json
app = typer.Typer()
s3 = boto3.resource("s3")
rekognition = boto3.... | musikid/img_descriptor | img_descriptor/main.py | main.py | py | 3,841 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "typer.Typer",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "boto3.resource",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "boto3.client",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "mypy_boto3_rekognition.type_d... |
8968332703 | # -*- coding: utf-8 -*-
"""
Created on Wed Dec 22 21:32:13 2021
@author: Marius
"""
import torch
import torch.nn as nn
import numpy as np
from functools import reduce
import operator
def krons(psi):
if psi.shape[0] == 2:
return torch.kron(psi[0], psi[1])
elif psi.shape[0] > 2:
return torch.kr... | MariusvanLaar/MSc-thesis | models/layers.py | layers.py | py | 13,694 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "torch.kron",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.kron",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.nn.Module",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_numbe... |
3203950479 | # -*- coding: utf-8 -*-
"""
Created on Wed Sep 29 14:47:57 2021
@author: 张文浩
"""
#导入相关库
import sys
import math
from collections import defaultdict
from functools import reduce
from textblob import TextBlob #导入文本处理工具
from textblob import Word
import json
Wt_d = defaultdict(dict) #记录Wt,d
doc_score = defaultdi... | zwh-sdu/datamining | exp2/dmexp2.py | dmexp2.py | py | 7,414 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "collections.defaultdict",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 20,
"usage_type": "call"
},
{
"api_name"... |
2571173762 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
import sys
import collections
def main():
prefix = sys.argv[1]
max_n = int(sys.argv[2])
res = collections.defaultdict(list)
for f_i in range(max_n+1):
f = open(f'{prefix}.{f_i}', 'r')
lines = [l.strip() for l in f]
for line_no, l in ... | ftakanashi/wyz_mttool_scripts | NFR/data_building/s2t_manner/merge_match.py | merge_match.py | py | 713 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sys.argv",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "collections.defaultdict",
"line_number": 10,
"usage_type": "call"
}
] |
24855886970 | import pygame
pygame.init()
#colors
BLACK = (0, 0, 0)
WHITE = (255, 255, 255)
GREEN = (0, 255, 0)
RED = (255, 0, 0)
BLUE = (0, 0, 255)
#PI
pi=3.141592653
#CLOCK
clock = pygame.time.Clock()
#COORDS_AND_OTHER
x = 2
y = 468
width = 30
height = 27
speed = 10
isJump = False
JumpCount = 10
left =... | Python-is-a-snake/stickman_game | myowngame.py | myowngame.py | py | 4,034 | python | ru | code | 0 | github-code | 7 | [
{
"api_name": "pygame.init",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "pygame.time.Clock",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pygame.time",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "pygame.image.load",
... |
26043613368 | # -*- coding: utf-8 -*-
from nwae.utils.Log import Log
from inspect import currentframe, getframeinfo
from nwae.lang.detect.LangDetect import LangDetect
from nwae.lang.LangFeatures import LangFeatures
try:
from nltk import pos_tag, word_tokenize, download
download('punkt')
download('averaged_perceptron_tag... | nwae/nwae | src/nwae/lang/preprocessing/Stopwordtags.py | Stopwordtags.py | py | 10,892 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "nltk.download",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "nltk.download",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "inspect.getframeinfo",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "inspect.currentframe"... |
20479246208 | import src # My utility functions
import itertools
import math
WEIGHTS = src.read(ints=True)
def configure(weights: list, groups=3):
assert sum(weights) % groups == 0, f"Total weight is not a multiple of {groups}."
target = sum(weights) // groups
for size in itertools.count(1):
qe_list = [math.p... | Nomen-Heroum/Advent_of_Code | 2015/day24.py | day24.py | py | 783 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "src.read",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "itertools.count",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "math.prod",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "itertools.combinations",
"line_... |
45050521275 | from rest_framework import serializers
from .models import Message
class MessageSerializer(serializers.ModelSerializer):
owner_email = serializers.ReadOnlyField(source='owner.email')
class Meta:
fields = (
'text',
'owner_email',
'created',
... | vadym-drok/django-rest-chat | api/serializers.py | serializers.py | py | 375 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "rest_framework.serializers.ReadOnlyField",
"line_number": 6,
"us... |
14828677932 | # Python Packages
import json
from pprint import pprint
# Django Packages
from django.views import View
from django.http import JsonResponse
from django.core.paginator import Paginator
from django.forms.models import model_to_dict
from django.views.decorators.csrf import csrf_exempt
from django.utils.decorators import... | siyam04/jobs-service-combined | jobs/views.py | views.py | py | 8,989 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "django.views.View",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "models.Job.Gender",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "models.Job",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "models.Job.Employ... |
8029103157 | #!/usr/bin/env python
"""
Usage:
travis2tox <dot_travis_dot_yml_file>
travis2tox --help
Reads as input <dot_travis_dot_yml_file>, a path to a YAML file for Travis
(typically called ".travis.yml") and writes the contents of an equivalent
tox.ini file to stdout.
"""
import argparse
from travis2tox import travis2... | msabramo/travis2tox | travis2tox/main.py | main.py | py | 767 | python | en | code | 13 | github-code | 7 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "travis2tox.travis2tox",
"line_number": 29,
"usage_type": "call"
}
] |
769258384 | from django.shortcuts import render, redirect, get_object_or_404
from contest.models import Contest,ContestParticipant
from problem.models import Problem
from contestant.models import ProblemTry
from user.models import CustomUser
from .forms import SubmitForm
from submission.models import Submission
from Judge_dir.judg... | NazmulHasanMoon/project_oj | Project/hoj/contest/views.py | views.py | py | 4,610 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "contest.models.Contest.objects.all",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "contest.models.Contest.objects",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "contest.models.Contest",
"line_number": 16,
"usage_type": "name"
... |
24855413530 | from rest_framework.response import Response
from rest_framework.views import APIView
from app.models import Book
from app.serializers import BookModelSerializer
class BookAPIView(APIView):
def get(self, requset, *args, **kwargs):
book_id = kwargs.get('id')
if book_id:
book = Book.obj... | python-lx/day9-work | app/views.py | views.py | py | 3,451 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "rest_framework.views.APIView",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "app.models.Book.objects.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "app.models.Book.objects",
"line_number": 12,
"usage_type": "attribute"
},
{
... |
1811999224 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Jan 1 13:59:12 2021
@author: Debbora Leip
"""
import numpy as np
from scipy.special import comb
import scipy.stats as stats
import pickle
import sys
from ModelCode.Auxiliary import _printing
from ModelCode.Auxiliary import _GetDefaults
# %% #########... | deleip/FoodSecurityWestAfrica | RiskFoodSupply/ModelCode/SettingsParameters.py | SettingsParameters.py | py | 40,307 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "ModelCode.Auxiliary._GetDefaults",
"line_number": 180,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 212,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 377,
"usage_type": "call"
},
{
"api_name": "pickle.load"... |
28771908358 | import numpy as np
import matplotlib.pyplot as plt
from scipy import ndimage
from sympy import *
from mpl_toolkits.mplot3d import Axes3D
import pickle
from matplotlib import cm
import math as mth
from mayavi import mlab
import pandas as pd
import h5py
#Initial data from density field and classification
sim_sz=250#Mpc
i... | ajib0457/bolchoi-sim_z0 | Artemis/investigation/cube_study/cube_dotprod.py | cube_dotprod.py | py | 2,051 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "h5py.File",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.column_stack",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "h5py.File",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.column_stack",
"line... |
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