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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
17598457644 | from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger
from PIL import Image
def make_pages(page, item_list, page_size):
paginator = Paginator(item_list, page_size)
try:
images = paginator.page(int(page))
except PageNotAnInteger:
images = paginator.page(1)
except EmptyPage:
images = pag... | mr-shubhamsinghal/gallery-app | gallery/utils.py | utils.py | py | 510 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.core.paginator.Paginator",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.core.paginator.PageNotAnInteger",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "django.core.paginator.EmptyPage",
"line_number": 14,
"usage_type": ... |
7176590579 | import secrets
from eth_keys import (
keys,
)
from eth_utils import (
int_to_big_endian,
)
try:
import factory
except ImportError:
raise ImportError(
"The p2p.tools.factories module requires the `factory_boy` library."
)
def _mk_private_key_bytes() -> bytes:
return int_to_big_endian(... | ethereum/py-evm | eth/tools/factories/keys.py | keys.py | py | 772 | python | en | code | 2,109 | github-code | 6 | [
{
"api_name": "eth_utils.int_to_big_endian",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "secrets.randbits",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "factory.Factory",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "eth... |
18183301241 | from django.shortcuts import render, redirect
from django.views.generic.edit import CreateView, UpdateView, DeleteView
from .models import Post, Comment
from .forms import CommentForm, ContactForm
# Create your views here.
def home(request):
return render(request, 'home.html')
def about(request):
return rend... | gollobc/Meridio-Full-Stack-App | meridio/main_app/views.py | views.py | py | 1,500 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.shortcuts.render",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "models.Post.objects.all",
"line_number": 15,
"usage_type": "call"
},
{
"api_name":... |
34450081054 | # -*- coding: utf-8 -*-
from __future__ import absolute_import, unicode_literals
from django.shortcuts import render
from django.views.generic.base import View
from django.http import JsonResponse
from participa.settings import SEFAZ_API_URL
from participa.auth_sefaz.views import ParticipaSefazRequest, BaseView
from pa... | vctrferreira/hackathon-sefaz | participa/report/views.py | views.py | py | 2,135 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "participa.auth_sefaz.views.BaseView",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "participa.auth_sefaz.models.User.objects.filter",
"line_number": 23,
"usage_type": "call"
... |
39915090383 | import numpy as np
import pandas as pd
import math
import requests, json, time
from datetime import datetime
class Processor:
def __init__(self, history_length):
self.history_length = history_length
def fetchHistoricalDataForTicker(self, fsym, tsym, lim):
df_cols = ['time', 'open', 'high', 'low', 'close', 'vo... | kwhuo68/rl-btc | processor.py | processor.py | py | 1,365 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "time.time",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number... |
73051866108 | import matplotlib.pyplot as plt
import numpy as np
import os
import PIL
import tensorflow as tf
from tensorflow import keras
model = tf.keras.models.load_model('C:/AI/model.h5')
class_names = ['daisy', 'dandelion', 'roses', 'sunflowers', 'tulips']
img_height = 180
img_width = 180
sunflower_url = "http... | dasfef/PyQt5 | Ex20221202_3(h5 activate).py | Ex20221202_3(h5 activate).py | py | 925 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tensorflow.keras.models.load_model",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras.utils.get_file",
"line_number": 16,
"usage_type": "call"
},
{... |
74147628668 | # coding: utf-8
"""
Pydici billing views. Http request are processed here.
@author: Sébastien Renard (sebastien.renard@digitalfox.org)
@license: AGPL v3 or newer (http://www.gnu.org/licenses/agpl-3.0.html)
"""
from datetime import date, timedelta
import mimetypes
import json
from io import BytesIO
import os
import sub... | digitalfox/pydici | billing/views.py | views.py | py | 39,484 | python | en | code | 122 | github-code | 6 | [
{
"api_name": "datetime.date.today",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 59,
"usage_type": "name"
},
{
"api_name": "datetime.timedelta",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "crm.utils.get_su... |
38217350686 | #!/usr/bin/env python3
import argparse
import sys
from typing import List, Union
import uuid
import capstone_gt
import gtirb
from gtirb_capstone.instructions import GtirbInstructionDecoder
def lookup_sym(node: gtirb.Block) -> Union[str, None]:
"""
Find a symbol name that describes the node.
"""
for s... | GrammaTech/ddisasm | tests/check_gtirb.py | check_gtirb.py | py | 16,220 | python | en | code | 581 | github-code | 6 | [
{
"api_name": "gtirb.Block",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "typing.Union",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "gtirb.Block",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "gtirb.ProxyBlock",
... |
38756128140 | """
Kubernetes server class implementation.
"""
from __future__ import absolute_import
import os
import logging
import uuid
from kubernetes import config
from kubernetes import client as k8sclient
from kubernetes.client.rest import ApiException
from retry import retry
from pytest_server_fixtures import CONFIG
from .c... | man-group/pytest-plugins | pytest-server-fixtures/pytest_server_fixtures/serverclass/kubernetes.py | kubernetes.py | py | 5,398 | python | en | code | 526 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "pytest_server_fixtures.... |
72531788029 | # pylint: disable=redefined-outer-name
# pylint: disable=unused-argument
# pylint: disable=unused-variable
# pylint: disable=too-many-arguments
import pytest
from models_library.api_schemas_webserver.projects import (
ProjectCreateNew,
ProjectGet,
ProjectListItem,
ProjectReplace,
TaskProjectGet,
)... | ITISFoundation/osparc-simcore | packages/models-library/tests/test_api_schemas_webserver_projects.py | test_api_schemas_webserver_projects.py | py | 2,403 | python | en | code | 35 | github-code | 6 | [
{
"api_name": "pytest_simcore.simcore_webserver_projects_rest_api.HttpApiCallCapture",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "models_library.api_schemas_webserver.projects.ProjectCreateNew.parse_obj",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "mo... |
30815309971 | from typing import List, Tuple
import cmath
import random
_inv_root2 = 1 / cmath.sqrt(2)
_root2 = cmath.sqrt(2)
bra = List[complex]
ket = List[complex]
def vdot(v1, v2):
return sum(v1[i] * v2[i] for i in range(len(v1)))
def vinv(v):
return [-x for x in v]
def qdot(q1: ket, q2: ket) -> complex:
return... | Wroppy/werry_math | physics/quantum/systems.py | systems.py | py | 3,990 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cmath.sqrt",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cmath.sqrt",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 8,
... |
30357445001 | from traits.api import HasTraits, Code
from traitsui.api import Item, Group, View
# The main demo class:
class CodeEditorDemo(HasTraits):
"""Defines the CodeEditor demo class."""
# Define a trait to view:
code_sample = Code('import sys\n\nsys.print("hello world!")')
# Display specification:
cod... | enthought/traitsui | traitsui/examples/demo/Standard_Editors/CodeEditor_demo.py | CodeEditor_demo.py | py | 922 | python | en | code | 290 | github-code | 6 | [
{
"api_name": "traits.api.HasTraits",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "traits.api.Code",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "traitsui.api.Group",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "traitsui.api.I... |
12096156845 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
import requests
from bs4 import BeautifulSoup, Tag
from workflow import Workflow
def main(wf):
if not wf.args:
return
word = wf.args[0].strip()
resp = requests.post("http://www.zdic.net/sousuo/", data={"q": word})
soup = BeautifulSou... | jinuljt/zdic.alfredworkflow | zdic.py | zdic.py | py | 1,421 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "requests.post",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "bs4.Tag",
"line_number": 43,
"usage_type": "argument"
},
{
"api_name": "workflow.Workflow",
"... |
17079551201 | from gensim.models import KeyedVectors
from anki_corpus_for_gensim import bg_stopwords,en_stopwords
import json, argparse, time
from flask import Flask, request
from flask_cors import CORS
##################################################
# API part
##################################################
app = Flask(__n... | teodorToshkov/sentencesimilarity | app.py | app.py | py | 1,897 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "anki_corpus_for_gensim.bg_stopwords",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "anki_... |
29778121292 | import requests, os, json
from bs4 import BeautifulSoup as BS
from random import choice
_BASE_PATH = os.path.dirname(__file__)
_DATA_FILE = os.path.join(_BASE_PATH,'data.txt')
_ACTORS_FILE = os.path.join(_BASE_PATH,'actors.txt')
_DIRECTORS_FILE = os.path.join(_BASE_PATH,'directors.txt')
_YEARS_FILE ... | asav13/PRLA-Verk5 | part2/y_u_so_stupid.py | y_u_so_stupid.py | py | 6,583 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.dirname",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7... |
4142566592 | import ast
import networkx as nx
import numpy as np
from collections import defaultdict
import json
from tqdm import tqdm
# nodes = [0, 1, 2, 3, 4]
# graph = [[4, 3, 0.75], [4, 1, 0.81], [4, 2, 0.97], [4, 0, 0.52]]
# page_rank_probs = defaultdict(float)
# DG = nx.DiGraph()
# DG.add_nodes_from(nodes)
# DG.add_weighted_... | Gitsamshi/Nli-image-caption | playground.py | playground.py | py | 8,056 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "numpy.exp",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "numpy.max",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 53,
... |
2653030207 | import torch
import torch.nn as nn
from torch.autograd import Variable
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence
class BiLSTM(nn.Module):
def __init__(self, args):
super(BiLSTM, self).__init__()
self.embedding_size = args.embedding_size
self.hidden_size = a... | wbakst/meta-learned-embeddings | lstm.py | lstm.py | py | 2,741 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "torch.nn.Embedding",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_n... |
40555963992 | from django.urls import path
from Web.views import Index, Persons, Random, QuotesByPerson, QuotesByCategory, CategoryCreateView, PersonCreateView, QuoteCreateView, LogoutView
from Web.api_views import APIPersons, APICategories, APIQuotes, APIQuotesByPerson, APIQuotesByCategory, APIQuotesRandom
urlpatterns = [
pat... | mavenium/PyQuotes | Web/urls.py | urls.py | py | 1,415 | python | en | code | 27 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "Web.views.Index.as_view",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "Web.views.Index",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.urls.pat... |
36396608095 | """
Continuous Statistics Class
"""
from numbers import Number
from typing import Union, Tuple
from functools import wraps
import inspect
import numpy as np
from gval.statistics.base_statistics import BaseStatistics
import gval.statistics.continuous_stat_funcs as cs
class ContinuousStatistics(BaseStatistics):
... | NOAA-OWP/gval | src/gval/statistics/continuous_statistics.py | continuous_statistics.py | py | 9,420 | python | en | code | 14 | github-code | 6 | [
{
"api_name": "gval.statistics.base_statistics.BaseStatistics",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "gval.statistics.continuous_stat_funcs",
"line_number": 34,
"usage_type": "argument"
},
{
"api_name": "gval.statistics.continuous_stat_funcs",
"line_number... |
19399859119 | # 目标和
# https://leetcode-cn.com/leetbook/read/queue-stack/ga4o2/
from typing import List
import common.arrayCommon as Array
class Solution:
def findTargetSumWays(self, nums: List[int], S: int) -> int:
print(nums)
s = sum(nums)
if s < S:
return 0
n = len(nums)
... | Yigang0622/LeetCode | findTargetSumWays.py | findTargetSumWays.py | py | 1,411 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 10,
"usage_type": "name"
}
] |
31309035194 | #!/usr/bin/env python
# coding: utf-8
# In[ ]:
#Library Imports
from __future__ import print_function, division
from keras.models import Sequential, Model
from keras.layers.core import Dense
from keras.layers.recurrent import LSTM, GRU, SimpleRNN
from keras.layers import Input
from keras.utils.data_utils import get_... | RenatoMAlves/context-aware-time-prediction | code/Context-LSTM/train_addittional_feats_py3.py | train_addittional_feats_py3.py | py | 13,972 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number":... |
3096449689 | from django.shortcuts import render, render_to_response
from django.utils import timezone
from django.http import HttpResponse, Http404
#from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger
from django.core.paginator import EmptyPage, PageNotAnInteger
from flynsarmy_paginator.paginator import Flynsa... | seolakim/reve-web | foodle/views.py | views.py | py | 4,218 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.shortcuts.render",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.db.models.Q",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "django.db.models.Q",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "models.... |
33805613545 | from typing import Optional, Dict
from fastapi import WebSocket, APIRouter, Cookie, status, Depends
from ws_chat_py.engines.person_engine import PersonEngine
ws_router = APIRouter()
@ws_router.websocket("/ws")
async def ws_chat_handler(websocket: WebSocket):
await websocket.accept()
authorized = check_cha... | backcrawler/ws_chat_py | ws_chat_py/handlers/ws_handlers.py | ws_handlers.py | py | 925 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "fastapi.WebSocket",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "ws_chat_py.engines.person_engine.PersonEngine.create_person",
"line_number": 18,
"usage_type": "call"
... |
28990015892 | from sys import platform, version_info
if True:
from PyQt5.QtCore import pyqtSlot, Qt, QSettings, QTimer
from PyQt5.QtGui import QFontMetrics
from PyQt5.QtWidgets import QDialog, QDialogButtonBox, QMessageBox
else:
from PyQt4.QtCore import pyqtSlot, Qt, QSettings, QTimer
from PyQt4.QtGui import QFo... | falkTX/Cadence | src/jacksettings.py | jacksettings.py | py | 41,004 | python | en | code | 361 | github-code | 6 | [
{
"api_name": "sys.platform",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "sys.version_info",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "dbus.Interface",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "dbus.UInt32",
"line_... |
71923388669 | #!/usr/bin/env python
import os, argparse
parser = argparse.ArgumentParser()
parser.add_argument("-u", required=True, dest="usuario", help="Usuario de PostgreSQL")
parser.add_argument("-H", default="localhost", dest="host", help="IP del equipo remoto")
parser.add_argument("-p", default="5432", dest="puerto", h... | francisjgarcia/ASGBD-2018-19 | scripts/python/backup.py | backup.py | py | 761 | python | es | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 15,
"usage_type": "call"
}
] |
39172128523 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from flask import json, make_response
from flask_restplus import Api, Resource
from http import HTTPStatus
from .v1.api import api as api_v1
from .v2.api import api as api_v2
from .health import api as api_health
api = Api()
api.add_namespace(api_v1)
api.add_names... | shalomb/terrestrial | apis/__init__.py | __init__.py | py | 1,122 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask_restplus.Api",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "v1.api.api",
"line_number": 16,
"usage_type": "argument"
},
{
"api_name": "v2.api.api",
"line_number": 17,
"usage_type": "argument"
},
{
"api_name": "health.api",
"li... |
33422541294 | import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision
from torchvision import datasets, models, transforms
from torchvision.utils import save_image
from torch.utils.data import Dataset
from torchvision import datasets, models, transforms
from Regressor_and_loss import disparityregressi... | Pahulmeet/Stereo_Depth_Estimation | model8.py | model8.py | py | 4,908 | python | en | code | 0 | github-code | 6 | [
{
"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.Sequential",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"lin... |
41705912087 | import newspaper
# Declare the url
url = "https://ktechhub.com/tutorials/completely-deploy-your-laravel-application-on-ubuntu-linux-server-60a51098a8bf2"
#Extract web content
url = newspaper.Article(url="%s" % (url), language='en')
url.download()
url.parse()
# Display scraped data
print(url.text)
| Kalkulus1/python_codes | scrape_any_web_article.py | scrape_any_web_article.py | py | 302 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "newspaper.Article",
"line_number": 7,
"usage_type": "call"
}
] |
6176179693 | import os, time, sys
import matplotlib.pyplot as plt
import itertools
import pickle
import imageio
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.utils.data as data
import torch.optim as optim
from torchvision import datasets, transforms
from torch.autograd import Variable
import torchv... | hqyu/DL_GAN | GAN.py | GAN.py | py | 4,169 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.utils.data.DataLoader",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "torch.utils.data",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "torchvision.datasets.MNIST",
"line_number": 26,
"usage_type": "call"
},
{
"api_name"... |
7713955808 | #!/usr/bin/python
# -*- coding: utf-8 -*-
from flask import Flask
myApp = Flask(__name__)
@myApp.route('/')
def bonjour():
message = 'Bonjour, je suis Ramy \n'
return message
if __name__ == '__main__':
myApp.run(host='0.0.0.0', port=8080)
| RMDHMN/pythonFlash_testing | app.py | app.py | py | 254 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
}
] |
16471277711 | """
A row measuring seven units in length has red blocks with a minimum length of
three units placed on it, such that any two red blocks (which are allowed to be
different lengths) are separated by at least one black square. There are
exactly seventeen ways of doing this.
How many ways can a row measuring fifty units ... | bsamseth/project-euler | 114/114.py | 114.py | py | 1,999 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "functools.lru_cache",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 44,
"usage_type": "call"
}
] |
36668954335 | from abc import ABC, abstractmethod
# enum and constants
from enum import Enum
from uuid import UUID
from time import time
import threading
class VehicleType(Enum):
# supported vehicle
CAR = 'car'
TRUCK = 'truck'
VAN = 'van'
MOTORBIKE = 'motorbike'
class ParkingSpotType(Enum):
# available s... | manofsteel-ab/design-patterns | oo_design/parking_lot.py | parking_lot.py | py | 11,034 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "enum.Enum",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "enum.Enum",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "enum.Enum",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "enum.Enum",
"line_number": 31,
... |
75066660668 | import scipy.io as sio
import numpy as np
class ReadFiles(object):
def __init__(self):
spamData = sio.loadmat('../data/spam_data.mat', struct_as_record=False)
self.header = spamData['__header__']
self.version = spamData['__version__']
self.names = spamData['names']
pTrain... | Skalwalker/SpamRecognition | scripts/readfiles.py | readfiles.py | py | 1,011 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "scipy.io.loadmat",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "scipy.io",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "numpy.concatenate",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.concatenate",
"li... |
39399750947 | import logging
import os
import argparse
import json
from itertools import chain
from typing import Dict, List, Tuple, Any
from functools import partial
import s3fs
from hydra import compose, initialize, core
from omegaconf import OmegaConf
import numpy as np
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' # Nopep8
import... | YangWu1227/python-for-machine-learning | neural_network/projects/cnn_insect_classification_sagemaker/src/baseline_entry.py | baseline_entry.py | py | 12,600 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "base_trainer.BaseTrainer",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "typing.Any",
... |
22400134597 | from PyQt5 import QtWidgets
from diz3_2 import * # импорт нашего сгенерированного файла
import sys
from BD import Orm
class Dialog2(QtWidgets.QDialog):
def __init__(self, id):
self.id = id
super(Dialog2, self).__init__()
self.ui = Ui_Dialog()
self.ui.setupUi(self)
self.ui... | Vorlogg/BD | dialog2.py | dialog2.py | py | 1,367 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PyQt5.QtWidgets.QDialog",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtWidgets",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "BD.Orm",
"line_number": 22,
"usage_type": "call"
}
] |
19691344827 | """Define custom dataset class extending the Pytorch Dataset class"""
import os
from typing import Dict, List, Tuple
import numpy as np
import pandas as pd
from PIL import Image
import torch
from torch.utils.data import DataLoader, Dataset
import torchvision.transforms as tvt
from utils.utils import Params
class S... | karanrampal/sketches | src/model/data_loader.py | data_loader.py | py | 3,585 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "torchvision.transforms",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.pa... |
19399695029 | from typing import List
import copy
class Solution:
def calcEquation(self, equations: List[List[str]], values: List[float], queries: List[List[str]]) -> List[float]:
graph = {}
s = set()
for i, each in enumerate(equations):
nominator = each[0]
denominator = each[1]
... | Yigang0622/LeetCode | calcEquation.py | calcEquation.py | py | 2,160 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "copy.deepcopy",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 52,
"usage_type": "call"
}
] |
1512983994 | """
This file contains helper functions for the project
"""
# import libraries
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.patches as patches
from math import atan2, degrees
import urllib.request
from PIL import Image
# functions
def get_tracking_data():
"""
Funct... | emekaamadi/Milestone-1-NFL-Project | src/functions.py | functions.py | py | 5,059 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.abs",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 2... |
1307107485 | import functools
import os
import re
from importlib import import_module
from typing import Callable, Pattern
import yaml
from livelossplot.outputs import NeptuneLogger
def unpack_config(func: Callable) -> Callable:
"""Load parameters from a config file and inject it to function keyword arguments"""
@functoo... | Bartolo1024/RLCarRacing | utils.py | utils.py | py | 2,684 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.Callable",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "yaml.full_load",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "functools.wraps",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "typing.Pattern",
"... |
6932656070 |
import gc
import json
import numpy as np
import optuna
import pandas as pd
import sys
import warnings
import xgboost
from glob import glob
from sklearn.model_selection import KFold, StratifiedKFold
from tqdm import tqdm
from utils import FEATS_EXCLUDED, loadpkl, line_notify, to_json
#===============================... | MitsuruFujiwara/KDD-Cup-2019 | src/804_optimize_xgb_optuna.py | 804_optimize_xgb_optuna.py | py | 3,421 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"line... |
6589740252 | import pickle
from flask import Flask, request, render_template, jsonify, send_file
from elasticsearch import Elasticsearch
from transformers import pipeline, AutoTokenizer, AutoModelForQuestionAnswering, AutoModel
import spacy
import json
import time
from pymongo import MongoClient
import os
from sklearn.linear_model ... | szegedai/SHunQA | backend/flask_service.py | flask_service.py | py | 8,073 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "transformers.pipeline",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "transformers.AutoTokenize... |
7796643764 | import numpy as np
import pickle
from engine.sim_functions import calc_local_zodiacal_minimum,Spectrograph
from engine.planet_retrieval import Planet,Star
from engine.main_computer import compute
from itertools import chain
from multiprocessing import Pool
import json
import sys
dR_scale = float(sys.argv[1]) #Reflecta... | JonahHansen/LifeTechSim | error_sim.py | error_sim.py | py | 5,550 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "engine.sim_functions.Spectrograph",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "engine.... |
31974764531 | # -*- coding: utf-8 -*-
import json
import scrapy
from club_activity_friends_details.items import ClubActivityFriendsDetailsItem
from lib.GetCurrentTime import get_current_date
from models.club import StructureStartUrl
class AutoHomeClubActivityFriendsDetailsSpider(scrapy.Spider):
name = 'auto_home_club_activity... | CY113/Cars | club_activity_friends_details/club_activity_friends_details/spiders/auto_home_club_activity_friends_details.py | auto_home_club_activity_friends_details.py | py | 2,113 | python | en | code | 10 | github-code | 6 | [
{
"api_name": "scrapy.Spider",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "models.club.StructureStartUrl",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "club_activity_friends_details.items.ClubActivityFriendsDetailsItem",
"line_number": 19,
... |
36413248388 | # ---------------
# ParamCopy - Substance 3D Designer plugin
# (c) 2019-2022 Eyosido Software SARL
# ---------------
import os, weakref
from functools import partial
from PySide2.QtCore import QObject
from PySide2.QtWidgets import QToolBar
import sd
from sd.context import Context
from sd.api.sdapplication import SDA... | eyosido/ParamCopy | src/paramcopy/pcui/pctoolbar.py | pctoolbar.py | py | 2,317 | python | en | code | 9 | github-code | 6 | [
{
"api_name": "PySide2.QtCore.QObject",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "sd.getContext",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "functools.partial",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "functools.part... |
5254327339 | # -*- coding: utf-8 -*-
"""
Utility functions
@authors: Álvaro Ramírez Cardona (alramirezca@unal.edu.co)
Vanessa Robledo Delgado (vanessa.robledo@udea.edu.co)
"""
from os import path
import xarray as xr
import numpy as np
import pandas as pd
from scipy import ndimage
import geopandas as gpd
from datetime im... | alramirezca/ATRACKCS | atrackcs/utils/funcs.py | funcs.py | py | 11,183 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "xarray.open_mfdataset",
... |
25441389301 | # -*- coding: utf-8 -*-
from PIL import Image,ImageFont,ImageDraw
import json
import cover
import time
from io import BytesIO
def paste_with_a(base_img_, img_, pos):
if 4 == len(img_.split()):
r,g,b,a = img_.split()
base_img_.paste(img_, pos,mask=a)
else:
base_img_.paste(img_, pos)
... | kakinumaCN/maimai_DX_rating_image | main.py | main.py | py | 9,086 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PIL.ImageDraw.Draw",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "PIL.ImageDraw",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "cover.download_cover",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open"... |
28339823949 | def secondElem(a):
return a[1]
def alphasort(a):
a.sort(key=secondElem,reverse=True)
for i in range(len(a)-1):
if a[i][1] == a[i+1][1] and a[i][0] > a[i+1][0]:
a[i],a[i+1] = a[i+1],a[i]
return a
from collections import Counter
name = list(Counter(input()).items())
name = al... | t3chcrazy/Hackerrank | company-logo.py | company-logo.py | py | 389 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.Counter",
"line_number": 10,
"usage_type": "call"
}
] |
34200144967 | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import cm as cm
import matplotlib.lines as mlines
df= pd.read_csv('/home/nishchay/Documents/Arcon/Day7/winequality-red.csv')
X1=df.iloc[:,11].values
Y1=df.iloc[:,0].values
Y2=df.iloc[:,1].values
fig = plt.figure()
ax1 = fig.add_sub... | nagrawal63/Neural-Networks | Day7/plot.py | plot.py | py | 2,190 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "matplotlib.... |
10414874563 | import itertools
import operator
import types
from typing import Any, List, Optional, Tuple, Type
import torch
from executorch.exir.dialects.edge._ops import EdgeOpOverload
from executorch.exir.error import ExportError, ExportErrorType
from executorch.exir.lowered_backend_module import LoweredBackendModule
from execut... | pytorch/executorch | exir/verification/verifier.py | verifier.py | py | 7,890 | python | en | code | 479 | github-code | 6 | [
{
"api_name": "torch.fx.GraphModule",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "itertools.chain",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "torch.Tensor",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "torch._export.... |
21699610056 | import cv2
# Method: getFrames
# Purpose: Extract a predefined number of frames from a provided video
# Parameters: video_capture: provided video
# frame_num: the desired number of frames
# frame_start: optional value to input for start of frame
def get_frames(video_capture, frame_num, frame_s... | ccranson27/ccr_playground | frame_gathering.py | frame_gathering.py | py | 2,033 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.cvtColor",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2RGB",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "cv2.cvtColor",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",... |
7066069240 | import sys,os,subprocess,string,re
from threading import Timer
import time,socket,json
from os import path
base_dir = path.dirname(path.abspath(sys.path[0]))
print(base_dir)
sys.path.append(base_dir)
class HfsSetup():
def __init__(self,hver='',plants='',adict={}):
self._run_code = True
self._plan... | kRayvison/Pycharm_python36 | new_render_data/input/p/script/CG/Houdini/function/old/HoudiniMain/HoudiniAppSet.py | HoudiniAppSet.py | py | 5,487 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.path.dirname",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "os.path.abspath",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 6,... |
25081332800 | # If this is the name of a readable file, the Python commands in that file are
# executed before the first prompt is displayed in interactive mode.
# https://docs.python.org/3/using/cmdline.html#envvar-PYTHONSTARTUP
#
# Sample code which supports concurrent interactive sessions, by only
# appending the new history is t... | mvshmakov/dotfiles | python/.config/python/pythonstartup.py | pythonstartup.py | py | 1,442 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.getenv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number... |
38736630905 | import datetime
import logging
import matplotlib.pyplot as plt
import numpy as np
import numpy.typing as npt
from backend.data.measurements import MeasurementArray, Measurements
logger = logging.getLogger(__name__)
logger.setLevel(logging.INFO)
def xyz2blh(x, y, z):
"""_summary_
Angle returned will be in ra... | GeoscienceAustralia/ginan | scripts/GinanEDA/backend/data/position.py | position.py | py | 3,039 | python | en | code | 165 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "numpy.sqrt",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.arctan2",
"l... |
37822719553 | """Contains the MetaCurriculum class."""
import os
from unitytrainers.curriculum import Curriculum
from unitytrainers.exception import MetaCurriculumError
import logging
logger = logging.getLogger('unitytrainers')
class MetaCurriculum(object):
"""A MetaCurriculum holds curriculums. Each curriculum is associate... | Sohojoe/ActiveRagdollAssaultCourse | python/unitytrainers/meta_curriculum.py | meta_curriculum.py | py | 3,968 | python | en | code | 37 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number":... |
57215059 | import pytest
import numpy as np
import os
from netZooPy import dragon
def test_dragon():
#1. test1
print('Start Dragon run ...')
n = 1000
p1 = 500
p2 = 100
X1, X2, Theta, _ = dragon.simulate_dragon_data(eta11=0.005, eta12=0.005, eta22=0.05,
p1=100, p... | netZoo/netZooPy | tests/test_dragon.py | test_dragon.py | py | 5,525 | python | en | code | 71 | github-code | 6 | [
{
"api_name": "netZooPy.dragon.simulate_dragon_data",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "netZooPy.dragon",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "os.system",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.sys... |
195263286 | from django.db import models
from core.models import Service, PlCoreBase, Slice, Instance, Tenant, TenantWithContainer, Node, Image, User, Flavor, Subscriber
from core.models.plcorebase import StrippedCharField
import os
from django.db import models, transaction
from django.forms.models import model_to_dict
from django... | xmaruto/mcord | xos/services/ceilometer/models.py | models.py | py | 10,893 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "core.models.Service",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "core.models.TenantWithContainer",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "sets.Set",
"line_number": 124,
"usage_type": "call"
},
{
"api_name": "core.mo... |
74632636347 | # -*- coding: utf-8 -*-
"""
Sihoo Celery Worker 模块
@author: AZLisme
@email: helloazl@icloud.com
"""
from celery import Celery
celery_app = Celery('SihooWorker')
def configure(app):
celery_app.config_from_object('sihoo.settings.celery-setting')
celery_app.config_from_envvar('SIHOO_CELERY_SETTINGS', silen... | AZLisme/sihoo | sihoo/tasks/__init__.py | __init__.py | py | 370 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "celery.Celery",
"line_number": 13,
"usage_type": "call"
}
] |
158477486 | import datetime as dt
from rest_framework import status
from rest_framework.exceptions import NotAuthenticated, PermissionDenied
from rest_framework.permissions import IsAuthenticated
from rest_framework.response import Response
from rest_framework.views import APIView
from bumblebee.core.exceptions import (
Miss... | sthasam2/bumblebee-backend | bumblebee/feeds/api/views/feed_views.py | feed_views.py | py | 4,226 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rest_framework.views.APIView",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "rest_framework.permissions.IsAuthenticated",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "bumblebee.feeds.utils.get_folowing_buzzes_for_user",
"line_number": 3... |
27577951391 | from django.shortcuts import get_object_or_404, render, redirect, HttpResponseRedirect
from django.views.generic import TemplateView, UpdateView
from django.contrib.auth import get_user_model
from .models import Message
from django.urls import reverse
from django.contrib import messages
from review.models import Review... | Afeez1131/Anonymous-v1 | anonymous/views.py | views.py | py | 4,560 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.shortcuts.render",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "django.template.RequestContext",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "django.views.generic.TemplateView",
"line_number": 23,
"usage_type": "name"
},
... |
7520101007 | """
Created on Wed Feb 24 12:34:17 2021
@author: Narmin Ghaffari Laleh
"""
##############################################################################
from dataGenerator.dataSetGenerator_ClamMil import Generic_MIL_Dataset
import utils.utils as utils
from extractFeatures import ExtractFeatures
from utils.core_util... | KatherLab/HIA | CLAM_MIL_Training.py | CLAM_MIL_Training.py | py | 12,138 | python | en | code | 76 | github-code | 6 | [
{
"api_name": "random.seed",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "utils.utils.CreateProjectFolder",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "utils.utils",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "os.path.exist... |
73933198267 | from .common import * # NOQA
import pytest
project_detail = {"project": None, "namespace": None, "cluster": None,
"project2": None, "namespace2": None, "cluster2": None}
user_token = {"user_c1_p1_owner": {"user": None, "token": None},
"user_c1_p1_member": {"user": None, "token": None},... | jim02468/rancher | tests/validation/tests/v3_api/test_app.py | test_app.py | py | 13,408 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pytest.fixture",
"line_number": 319,
"usage_type": "call"
}
] |
5560963127 | """ this is a mixture of the best #free twitter sentimentanalysis modules on github.
i took the most usable codes and mixed them into one because all of them
where for a linguistical search not usable and did not show a retweet or a full tweet
no output as csv, only few informations of a tweet, switching la... | CemFFM/Sentimentanalysis | full_equipt_sentimentanalysis .py | full_equipt_sentimentanalysis .py | py | 11,573 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.set_option",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pandas.set_option",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "pandas.set_option",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "pandas.set_opti... |
18405188691 | import numpy as np
from astropy import table
from glob import glob
import pandas as pd
from scipy.stats import binned_statistic
def get_outlier_fraction(tbl, suffix='', bins=20):
diff = np.array(np.abs(tbl['z_est'] - tbl['z']) > 0.15 * (1 + tbl['z']),
dtype=float)
stat = binned_statistic(t... | minzastro/semiphore_public | utils/stats.py | stats.py | py | 3,666 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.array",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.abs",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "scipy.stats.binned_statistic",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"l... |
42636165267 |
import netCDF4
import numpy as np
from matplotlib import pyplot as plt
from matplotlib.colors import Normalize
import cartopy.crs as ccrs
import matplotlib.colors as colors
# Land cover
lc = netCDF4.Dataset("../data/LandCover_half.nc")
lc.set_auto_mask(True)
lc.variables
land_cover = lc["Land Cover"][:]
# fix landco... | bikempastine/Isoprene_PModel | exploration/anomaly_mapping.py | anomaly_mapping.py | py | 7,350 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "netCDF4.Dataset",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.shape",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.concatenate",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"lin... |
15790344554 | # -*- coding: utf-8 -*-
"""
Created on Tue Apr 28 23:15:17 2020
@author: malrawi
"""
import dicttoxml
import ruamel.yaml # https://pypi.org/project/ruamel.yaml/
import json
def read_yaml_as_dict(fname):
"""
A function used to read the ddoif dictionary in yaml format and return it as a python dictio... | morawi/ddoif | ddoif_utils.py | ddoif_utils.py | py | 3,011 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "ruamel.yaml.yaml.YAML",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "ruamel.yaml.yaml",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "ruamel.yaml",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "dicttoxml.dic... |
25009445303 | import datetime
import re
from random import shuffle
from collections import defaultdict
from django.utils.translation import (
activate,
get_language_info,
get_language,
)
from django import http
from django.shortcuts import render
from django.core.cache import cache
from django.conf import settings
from ... | peterbe/kl2 | kl/search/views.py | views.py | py | 24,492 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "nltk.corpus.wordnet",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "django.utils.translation.get_language",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "django.http.HttpResponseRedirect",
"line_number": 78,
"usage_type": "call"
},... |
19501436322 | """
This file (test_youbit.py) contains unit tests for the encode.py and decode.py files.
"""
from pathlib import Path
import os
import time
from yt_dlp.utils import DownloadError
from tests.conftest import uploads
from youbit import Encoder, download_and_decode
from youbit.settings import Settings, Browser
from youb... | mevimo/youbit | tests/unit/test_youbit.py | test_youbit.py | py | 1,245 | python | en | code | 651 | github-code | 6 | [
{
"api_name": "youbit.settings.Browser",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
... |
4643605876 | import os
import shutil
import pickle
import glob
import cv2
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
matplotlib.use('TkAgg')
from cam import create_dataset, Camera
def save_data(path, data):
with open(path, 'wb') as handle:
pickle.dump(data, handle)
print("Saved")
def... | EvilFis/MultiCamVision | test_method.py | test_method.py | py | 16,755 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.use",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pickle.dump",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number":... |
2087116071 | from bson import ObjectId
import Usuario.search as buscarUsuario
import Produto.search as buscarProduto
from datetime import date
def inserir_compra(mydb):
compra = mydb.Compra
usuario = mydb.Usuario
lista_produtos = []
usuarios = buscarUsuario.userByID(mydb,ObjectId)
data_atual = date.today()
... | Raniel-Santos/Banco-NoSQL-Python_MongoDB | Compra/insertCompra.py | insertCompra.py | py | 1,170 | python | pt | code | 1 | github-code | 6 | [
{
"api_name": "Usuario.search.userByID",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "bson.ObjectId",
"line_number": 11,
"usage_type": "argument"
},
{
"api_name": "Usuario.search",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "datetime.dat... |
11898315364 | #!/usr/bin/env python3
""" basic Flask app """
from flask import Flask, render_template, request, g
from flask_babel import Babel
import pytz
app = Flask(__name__)
babel = Babel(app)
users = {
1: {"name": "Balou", "locale": "fr", "timezone": "Europe/Paris"},
2: {"name": "Beyonce", "locale": "en", "timezone":... | jeanpierreba/holbertonschool-web_back_end | 0x0A-i18n/7-app.py | 7-app.py | py | 2,161 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask_babel.Babel",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "flask.request.arg... |
21321917983 | #! /usr/bin/env python3
import datetime
import AutoPrimer as ntp
import os
class Worker(object):
def __init__(self, name, command, options, channel, poster):
# date time stamp from scheduler
self.name = name
self.status = 'init' # init, running, done, expired
# which comm... | jcooper036/autoprimer | AutoPrimer/autobot/Worker.py | Worker.py | py | 3,361 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "da... |
2739075186 | """Given the html files for each of the language families,
build language tree for each and write them in json object
"""
from bs4 import BeautifulSoup
from tqdm import tqdm
import json
import sys
import os
link = 'html/indo-european.html'
link = 'html/mongolic.html'
link = 'html/bororoan.html'
def get_list(html):... | ialsina/LangTree | parse_html.py | parse_html.py | py | 3,111 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.split",
"line_number": 79,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 79,
"usage_type": "attribute"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 83,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_nu... |
30509139595 | """Add sessions
Revision ID: 821a722fb6c5
Revises: 371a1b269d3f
Create Date: 2017-05-04 14:38:19.372886
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '821a722fb6c5'
down_revision = '371a1b269d3f'
branch_labels = None
depends_on = None
def upgrade():
# #... | UltrosBot/Ultros-site | migrations/versions/821a722fb6c5_add_sessions.py | 821a722fb6c5_add_sessions.py | py | 1,008 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "alembic.op.create_table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integ... |
20793244215 | import numpy as np
from jax import numpy as jnp
from flax import struct
from flax.traverse_util import flatten_dict, unflatten_dict
from flax.core import Scope, lift, freeze, unfreeze
from commplax import comm, xcomm, xop, adaptive_filter as af
from commplax.util import wrapped_partial as wpartial
from typing import An... | remifan/commplax | commplax/module/core.py | core.py | py | 10,764 | python | en | code | 49 | github-code | 6 | [
{
"api_name": "typing.Any",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "flax.struct.field",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "flax.struct",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "flax.struct.field",
"lin... |
72498342269 |
from nltk.corpus import wordnet as wn
from nltk.corpus.reader.wordnet import WordNetError
from numpy import dot
from numpy.linalg import norm
import numpy as np
import pdb
class BaseModel:
def __init__(self, subject, predicate, _object):
#subjectFamily.getBaseRanking()[0], predicateFamily.getBaseRanking()... | asuprem/imag-s | utils/baseModel.py | baseModel.py | py | 3,739 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "nltk.corpus.wordnet.synset",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.wordnet",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "nltk.corpus.wordnet.synset",
"line_number": 15,
"usage_type": "call"
},
{
"api_nam... |
74800916026 | import openai
import uvicorn
from fastapi import FastAPI, Request, Form
from langchain.chains import RetrievalQA
from langchain.chat_models import ChatOpenAI
from langchain.document_loaders import CSVLoader
from langchain.embeddings import OpenAIEmbeddings
from langchain.prompts import PromptTemplate
from langchain.vec... | carson-edmonds/AAI-520-Chatbot-Project | openai_fastapi/llm.py | llm.py | py | 7,658 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "openai.api_key",
"line_number": 63,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"line_number": 78,
"usage_type": "call"
},
{
"api_name": "pandas.json_normalize",
"line_number": 80,
"usage_type": "call"
},
{
"api_name": "pandas.json_norm... |
8385121611 | from __future__ import absolute_import
from __future__ import print_function
import os
import sys
import optparse
import collections
if 'SUMO_HOME' in os.environ:
tools = os.path.join(os.environ['SUMO_HOME'], 'tools')
sys.path.append(tools)
import sumolib # noqa
else:
sys.exit("please declare environ... | ngctnnnn/DRL_Traffic-Signal-Control | sumo-rl/sumo/tools/tlsCycleAdaptation.py | tlsCycleAdaptation.py | py | 19,264 | python | en | code | 17 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_numbe... |
10418282793 | from __future__ import annotations
import platform
import dolphin_memory_engine
import pid
from randovania.game_connection.executor.memory_operation import (
MemoryOperation,
MemoryOperationException,
MemoryOperationExecutor,
)
MEM1_START = 0x80000000
MEM1_END = 0x81800000
def _validate_range(address:... | randovania/randovania | randovania/game_connection/executor/dolphin_executor.py | dolphin_executor.py | py | 4,135 | python | en | code | 165 | github-code | 6 | [
{
"api_name": "randovania.game_connection.executor.memory_operation.MemoryOperationException",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "randovania.game_connection.executor.memory_operation.MemoryOperationExecutor",
"line_number": 25,
"usage_type": "name"
},
{
"ap... |
28634572744 | import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.nn.init as init
import math
from torch.autograd import Variable
pi = 0.01
class Recommend(nn.Module):
"""A model to build Recommendation system
"""
def __init__(self, past_observations, n_factors, output_dim):
super().... | prakashjayy/av_mckinesy_recommendation_challenge | func.py | func.py | py | 2,764 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torch.nn.Embedding",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_n... |
73227662588 | import pandas as pd
import imp
import QR_Code_VCard_WC_copy
import imp
from tkinter import *
from tkinter.ttk import *
from tkinter.filedialog import askopenfile
import time
import os
from pathlib import Path
global current_path
current_path=Path.cwd()
def open_file():
global file_path
file_... | JonJones98/Virtual-Business-Card-Generator | 06_Scripts/Excel_connection_csv.py | Excel_connection_csv.py | py | 3,698 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pathlib.Path.cwd",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "tkinter.filedialog.askopenfile",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.... |
17651609361 | from builtins import print, input, int
import mariadb
import sqlite3
import psycopg2
print("Indique en que base de datos quiere realizar las gestiones:")
print("1. PostgreSQL\n2. MariaDB\n3. SQLite3")
lectura = input()
lectura = int(lectura)
while True:
if lectura == 1:
# Creamos la conexi... | PedroPuertasR/2DAM | 2 Trimestre/SGE/ConexionBD/main.py | main.py | py | 6,179 | python | es | code | 0 | github-code | 6 | [
{
"api_name": "builtins.print",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "builtins.print",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "builtins.input",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "builtins.int",
"line_n... |
19981905247 | import json
import os
from aiogram import Bot, Dispatcher, executor, types
from aiogram.dispatcher.filters import Text
from aiogram.contrib.fsm_storage.memory import MemoryStorage
from aiogram.dispatcher.filters.state import State, StatesGroup
from aiogram.dispatcher import FSMContext
from aiogram.utils.markdown impor... | Baradys/scrappers | scrappers/sbermarket/sbermarket_bot.py | sbermarket_bot.py | py | 4,624 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "aiogram.Bot",
"... |
29929387988 | #!/bin/python
import xml.etree.ElementTree as ET
import sys
tree = ET.parse(sys.argv[1])
root = tree.getroot()
'''
print root.find('deckname').text
main = root.find('./zone')
for c in main.findall(path='card'):
print c.get('number')+c.get('name')
'''
for c in root[2]:
print(c.get('number') + ' ' + c.get('name'... | nikisix/dex | xml_parser.py | xml_parser.py | py | 398 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "xml.etree.ElementTree.parse",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "sys.argv",
"line_number": 5,
"usage_type": "attribute"
}
] |
10205108247 | from bson.objectid import ObjectId
from pyramid.httpexceptions import HTTPFound
from pyramid.security import remember, forget
from pyramid.url import route_url
from pyramid.view import view_config
from .forms import TaskForm, TaskUpdateForm
@view_config(route_name='home', renderer='templates/home.jinja2')
def task_l... | albertosdneto/tutorial_pyramid_mongo | task_manager/views.py | views.py | py | 2,297 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pyramid.view.view_config",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "forms.TaskForm",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pyramid.httpexceptions.HTTPFound",
"line_number": 26,
"usage_type": "call"
},
{
"api_name... |
7126327995 | from django.urls import path
from . import views
# какие url какой view обрабатывается
urlpatterns = [
path('', views.post_list, name='post_list'),
path('post/<int:pk>/', views.post_detail, name='post_detail'),
path('post/new/', views.post_new, name='post_new'),
path('post/<int:pk>/edit/', views.post_... | x2wing/django_l2 | blog/urls.py | urls.py | py | 424 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
75131926908 | """
在python中，只有函数才是Callable（可Call的对象才是Callable）。但是tuple是一个数据类型，当然是不能Call（翻译成：使唤，hhh可能会比较容易理解）
"""
import cv2 as cv
import numpy as np
def negation_pixels(image):
print(image.shape)
height = image.shape[0]
width = image.shape[1]
channels = image.shape[2]
print("width: %s height: %s channels:... | hahahei957/NewProject_Opencv2 | 04_像素取反.py | 04_像素取反.py | py | 1,037 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.imshow",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "cv2.bitwise_not",
"line_number":... |
31872746206 | from lxml import html
import requests
import re
MainPage = requests.get("https://www.carvezine.com/stories/")
tree = html.fromstring(MainPage.content)
links = tree.xpath('//a[@class="summary-title-link"]/@href')
text = ""
text.encode('utf-8').strip()
for link in links:
testURL = "https://www.carvezine.com" + link
s... | RichardWen/python-practice | webscraping/storyscraper.py | storyscraper.py | py | 631 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "lxml.html.fromstring",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "lxml.html",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_num... |
12989554153 | from PIL import Image, ImageDraw, ImageFont
import calendar, datetime, holidays
def get_image_calendar(dates, year, month):
width, height = 500, 500
img = Image.new('RGB', (width, height), color='white')
draw = ImageDraw.Draw(img)
font = ImageFont.truetype('arial.ttf', size=30)
dict_for_month = {"... | michaelgershov/Calendar | calendar_image.py | calendar_image.py | py | 3,088 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PIL.Image.new",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "PIL.ImageDraw.Draw",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "PIL.ImageDraw",
"line_num... |
5414745490 | #!flask/bin/python
"""Alternative version of the ToDo RESTful server implemented using the
Flask-RESTful extension."""
from flask import Flask, jsonify, abort, make_response, make_response, request, current_app
from flask.ext.restful import Api, Resource, reqparse, fields, marshal
from flask.ext.httpauth import HTTPB... | Spanarchie/BaseAPI | BaseAPI.py | BaseAPI.py | py | 6,714 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "py2neo.Graph",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.ext.restful.Api",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.ext.httpauth.HTT... |
33008999633 | '''
Script to process nbn coverage map csv files, transform and load into a MongoDB
Author: Rommel Poggenberg (29860571)
Date created: 19th April 2021 (FIT5147 TP2 2021)
'''
import csv
import pymongo
import pprint
import sys
import datetime
pp = pprint.PrettyPrinter(indent=4)
state_lookup={2:'New South Wales',3:'Vi... | rommjp/NBN_Rollout_Visualisation | write_nbn_data_to_mongodb.py | write_nbn_data_to_mongodb.py | py | 5,360 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pprint.PrettyPrinter",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name":... |
11370340934 | import torch
import torchvision
import random
import torch.nn as nn
import torch
from torch import tanh
import torch.nn.functional as F
# custom weights initialization
def weights_init_1st(m):
classname = m.__class__.__name__
if classname.find('Linear') != -1:
m.weight.data.normal_(0.0, 0.15)
#... | ssainz/reinforcement_learning_algorithms | fleet_simulator/Models.py | Models.py | py | 3,261 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_nu... |
19114657314 | import pandas as pd
import torch
import torch.nn as nn
import math
import download
import pickle
import random
max_seq_len=34
pd.set_option('display.max_colwidth', None)
print("here")
# Importing flask module in the project is mandatory
# An object of Flask class is our WSGI application.
from ... | razerspeed/Image-Caption-Generation | server2.py | server2.py | py | 6,750 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pandas.set_option",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.nn.Module",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "torch.nn.Dropout",
... |
26040960706 | from __future__ import annotations
from textwrap import dedent
from typing import Callable
import pytest
from pants.backend.python.goals.publish import (
PublishPythonPackageFieldSet,
PublishPythonPackageRequest,
rules,
)
from pants.backend.python.macros.python_artifact import PythonArtifact
from pants.b... | pantsbuild/pants | src/python/pants/backend/python/goals/publish_test.py | publish_test.py | py | 6,774 | python | en | code | 2,896 | github-code | 6 | [
{
"api_name": "pants.testutil.python_rule_runner.PythonRuleRunner",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pants.core.util_rules.config_files.rules",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "pants.backend.python.util_rules.pex_from_targets.rule... |
585614447 | from pathlib import Path
ROOT_FOLDER = Path("STOCK_VOLATILITY_NEW").resolve().parent
DATASET_DIR = ROOT_FOLDER / "data"
ALL_DATA_DIR = DATASET_DIR / "all_data.csv"
ALL_DATA_NEW_DIR = DATASET_DIR / "all_data_new.csv"
UNPROCESSED_DATA = DATASET_DIR / "index_funds_data.csv"
FORMATTED_DATA = DATASET_DIR / "formatted_dat... | vladkramarov/index_fund_volatility | core.py | core.py | py | 1,412 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pathlib.Path",
"line_number": 3,
"usage_type": "call"
}
] |
71483369148 | """
Created by kevin-desktop, on the 18/02/2023
ADD sentiment columns to a sample Excel sheet.
"""
import numpy as np
import pandas as pd
import tqdm
from asba_model import run_models
path = "data/marco_sample.pkl"
df = pd.read_pickle(path)
dic = {}
max_nb_terms = 0
for row in tqdm.tqdm(df.itertuples(name=None)):... | KnuxV/SentA | add_sentiment_to_dataframe.py | add_sentiment_to_dataframe.py | py | 868 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_pickle",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "asba_model.run_models",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame.f... |
39430188225 | import json
import pandas as pd
import yfinance as yf
import pytz
from datetime import datetime, timedelta
import time
# Read forex pairs from JSON file
with open('forex_pairs.json', 'r') as file:
forex_pairs = json.load(file)
# Define the time frame and time zone
timeframe = '1h'
timezone = 'Africa/Nairobi'
# ... | Nurain313/N1l8w5f9s2g5 | Trash/ma.py | ma.py | py | 3,229 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pytz.timezone",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
... |
71396397949 | # Import packages
import gpxpy
import numpy as np
# Read gpx-file
gpxFile = "yourfile.gpx"
gpx_file = open(gpxFile, 'r')
gpx = gpxpy.parse(gpx_file)
# Calculate speeds between points
speed = []
for track in gpx.tracks:
for segment in track.segments:
for point_no, point in enumerate(segment.points):
... | Haukiii/simpleGpxRunCorrector | simpleGPXrunCorrector.py | simpleGPXrunCorrector.py | py | 1,329 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "gpxpy.parse",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.quantile",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "gpxpy.gpx.GPXTrackSegment.remove_point",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "gpxp... |
22758733002 | # (C) StackState 2020
# All rights reserved
# Licensed under a 3-clause BSD style license (see LICENSE)
import pytest
@pytest.fixture(scope='session')
def sts_environment():
return {
'type': 'csv',
'health_file': '/home/static_health/health.csv',
'delimiter': ',',
'collection_inter... | StackVista/stackstate-agent-integrations | static_health/tests/conftest.py | conftest.py | py | 560 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pytest.fixture",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 17,
"usage_type": "call"
}
] |
71236766909 | import struct
from enum import Enum
import typing as ty
from mate.net.nao_data import Data, DebugValue, DebugImage
NO_SUBSCRIBE_KEY = "none"
K = ty.TypeVar('K')
def split(predicate: ty.Callable[[K], bool], dictionary: ty.Dict[K, dict]):
dict1 = {}
dict2 = {}
for key in dictionary:
if predicate(ke... | humanoid-robotics-htl-leonding/robo-ducks-core | tools/mate/mate/net/utils.py | utils.py | py | 3,976 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "typing.TypeVar",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "typing.Callable",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "typing.Dict",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "enum.Enum",
"... |
38053163844 | from django.conf.urls import patterns, include, url
from django.conf.urls.i18n import i18n_patterns
from django.contrib.sitemaps.views import sitemap
from django.contrib.sitemaps import Sitemap
from django.contrib import admin
from django.conf import settings
admin.autodiscover()
urlpatterns = i18n_patterns('',
ur... | norn/bctip | bctip/urls.py | urls.py | py | 1,711 | python | en | code | 13 | github-code | 6 | [
{
"api_name": "django.contrib.admin.autodiscover",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.conf.urls.i18n.i18n_patterns",
"line_number": 9,
"usage_type": "call"
},
... |
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