id stringlengths 2 8 | text stringlengths 16 264k | dataset_id stringclasses 1
value |
|---|---|---|
12858248 | # _*_ coding: utf-8 _*_
class IgnoreRequest(Exception):
pass
| StarcoderdataPython |
238563 | from typing import *
from time import perf_counter_ns
'''
def Timer(n: int = 1):
return [_Timer() for i in range(n)]
class _Timer:
def __init__(self):
self.times: list[float] = []
def __enter__(self):
self.start = perf_counter_ns()
def __exit__(self, exc_type, exc_value, exc_traceback):
self.end ... | StarcoderdataPython |
3331807 | <reponame>EchizenG/MAD-GAN_synthetic<filename>datasets/data_synthetic_bak_1D.py
from common import scatter
import matplotlib.pyplot as plt
import random
import numpy as np
from attrdict import AttrDict
import tensorflow.contrib.learn as tf_learn
import pandas as pd
from scipy import stats, integrate
import seaborn as s... | StarcoderdataPython |
27962 | <gh_stars>0
import argparse
from sklearn import decomposition
from sklearn.manifold import TSNE
from scripts.utils.utils import init_logger, save_npz
from scripts.utils.documents import load_document_topics
logger = init_logger()
def main():
parser = argparse.ArgumentParser(description='maps a given high-dimensi... | StarcoderdataPython |
112832 | <filename>bin/04_transition_list.py<gh_stars>1-10
#!/bin/python
#
# TRANSITION LIST
# ===============
#
# This executable produces the building transition list, mapping the
# arrival and departure time of each user from each building.
#
# Arrival and departure times stands for the first session start and last
# session... | StarcoderdataPython |
9744982 | <reponame>jcolekaplan/computer_vision<gh_stars>0
"""
<NAME>
keypoint_detection.py
Check how consistent the results of Harris keypoint detection and SIFT keypoint
detection with each other are.
_/`.-'`.
_ _/` . _.'
..:::::.(_) /` _.'_./
... | StarcoderdataPython |
1696776 | <gh_stars>100-1000
from __future__ import annotations
from psycopg2._psycopg import Column
from local_data_api.models import Field
from local_data_api.resources import PostgresSQL
from tests.test_resource.test_resource import helper_default_test_field
def test_create_connection_maker(mocker):
mock_connect = moc... | StarcoderdataPython |
3486188 | # -*- coding: utf-8 -*-
# File generated according to Generator/ClassesRef/Simulation/DriveWave.csv
# WARNING! All changes made in this file will be lost!
"""Method code available at https://github.com/Eomys/pyleecan/tree/master/pyleecan/Methods/Simulation/DriveWave
"""
from os import linesep
from logging import getLo... | StarcoderdataPython |
6529593 | <gh_stars>0
from db import db
from models.enums import RoleType
class CreatorModel(db.Model):
"""Creator Model"""
__tablename__ = "creators"
id = db.Column(db.Integer, primary_key=True)
email = db.Column(db.String(255), nullable=False, unique=True)
password = db.Column(db.String(255), nullable=Fa... | StarcoderdataPython |
1663032 | <reponame>markovmodel/pyemma_tutorials<gh_stars>10-100
import os
import versioneer
from setuptools import setup
def copy_notebooks():
import shutil
dest = os.path.join('pyemma_tutorials', 'notebooks')
try:
shutil.rmtree(dest, ignore_errors=True)
shutil.copytree('notebooks', dest)
... | StarcoderdataPython |
9653593 | <reponame>luna-ml/leaderboard<filename>cartpole-v1/models/dqn-ritakurban/agent.py
import pathlib
import keras
import numpy as np
class Agent():
def __init__(self, **kwargs):
self.model = self.load_model(f"""{kwargs.get("path")}/pretrained""")
def load_model(self, path):
"""Load pretrained mode... | StarcoderdataPython |
4904139 | from src.pgassets import pgTextPanel
class pgButton(pgTextPanel):
def __init__(self, pos: tuple, size: tuple, text="", color=(255, 255, 255), borderwidth=2, transparent=False, fontsize=20):
pgTextPanel.__init__(self, pos, size, text, color, borderwidth, transparent, fontsize=fontsize)
| StarcoderdataPython |
1661086 | <filename>src/Sixth Chapter/Exercise12.py
# Write a function is_factor(f, n) that passes the tests below.
import sys
def is_factor(f, n):
return n % f == 0
def test(did_pass):
""" Print the result of a test. """
linenum = sys._getframe(1).f_lineno # Get the caller's line number.
if did_pass:
... | StarcoderdataPython |
4897108 | <filename>src/spinnaker_ros_lsm/venv/lib/python2.7/site-packages/spinn_front_end_common/utilities/reload/reload_buffered_vertex.py<gh_stars>1-10
# front end common imports
from spinn_front_end_common.interface.buffer_management.buffer_models.\
sends_buffers_from_host_pre_buffered_impl import \
SendsBuffersFrom... | StarcoderdataPython |
6454923 | <reponame>ssinad/gcp
"""
Create a version of processed data
used in our notebooks.
Instead of selecting individual county and then
make chart, we'll clean all counties at once,
then subset.
Save it to `data` to use for our RMarkdown repo:
https://github.com/CityOfLosAngeles/covid19-rmarkdown
"""
import numpy as np
im... | StarcoderdataPython |
5116456 | <filename>python-code/tiny-app/headpose-detection/videoCapture.py
import numpy as np
import cv2
import argparse
import os.path as osp
from hpd import HPD
def main(args):
filename = args["input_file"]
if filename is None:
isVideo = False
cap = cv2.VideoCapture(0)
cap.set(3, 640)
... | StarcoderdataPython |
3451402 | def get_numbers(src: list):
for num in range(len(src) - 1):
if src[num] < src[num + 1]:
yield src[num + 1]
pass
src = [300, 2, 12, 44, 1, 1, 4, 10, 7, 1, 78, 123, 55]
print(*get_numbers(src))
| StarcoderdataPython |
5159159 | import graphene
class Query(graphene.ObjectType):
hello = graphene.String(name=graphene.String(default_value="stranger"))
def resolve_hello(self, info, name):
return 'Hello ' + name
schema = graphene.Schema(query=Query)
result = schema.execute('{ hello ( name: "Test" )}')
print(result.data['hello'... | StarcoderdataPython |
1642268 | <gh_stars>0
# coding: UTF-8
from __future__ import absolute_import
import unittest
from usig_normalizador_amba.NormalizadorDireccionesAMBA import NormalizadorDireccionesAMBA
from usig_normalizador_amba.Direccion import Direccion
from usig_normalizador_amba.Errors import ErrorCruceInexistente, ErrorCalleInexistente
fro... | StarcoderdataPython |
8122793 | <filename>examples/nist_sre/helpers.py<gh_stars>1-10
from __future__ import absolute_import, division, print_function
import os
import pickle
import shutil
import warnings
from collections import OrderedDict, defaultdict
from enum import Enum
from numbers import Number
import numba as nb
import numpy as np
from scipy... | StarcoderdataPython |
3452949 | <filename>scripts/hooks/protect_branches.py
import re
import sys
from subprocess import run
from typing import NoReturn
def ProtectBranches() -> NoReturn:
hookid = "protect-branches"
protected_branches = [r"main", r"branch-\d+\.\d+"]
current_branch = run(["git", "branch", "--show-current"], capture_output... | StarcoderdataPython |
1832305 | __author__ = "<NAME>"
# QProgressBar
progressbar_style = '''
QProgressBar {
border: 0px;
border-top-left-radius: 4px;
border-bottom-left-radius: 4px;
border-top-right-radius: 4px;
border-bottom-right-radius: 4px;
height: 8px;
min-height: 8px;
max-height: 8px;
margin-top: 7px;
m... | StarcoderdataPython |
9723271 | from __future__ import division, absolute_import
from __future__ import print_function, unicode_literals
import xgboost as xgb
import numpy as np
import pandas as pd
from os import listdir
from sklearn.cross_validation import StratifiedShuffleSplit
from sklearn.metrics import f1_score
def aggregate_features(X):
r... | StarcoderdataPython |
6635600 | from pyplayground.server.pyenki import EPuck
from pyplayground.server.RobotBase import RobotBase
class RobotEPuck( RobotBase, EPuck ):
"""
Clase para interactuar con los robots del tipo EPuck de pyenki
"""
tipo = "epuck"
def __init__( self, name ):
"""
Constructor para robots del ... | StarcoderdataPython |
1770982 | <gh_stars>1-10
from hiclib.hicShared import byChrEig
from mirnylib.genome import Genome
import matplotlib.pyplot as plt
from mirnylib.systemutils import setExceptionHook
from mirnylib.plotting import nicePlot, maximumContrastList
setExceptionHook()
gen = Genome('../../../../hg19', readChrms=["#","X"])
mychroms = [0,2... | StarcoderdataPython |
11391127 | import numpy
def add(a, b):
"""Calculates the sum of a and b.
:param a: The first operand of the sum.
:param b: The second operand of the sum.
"""
return a + b
def subtract(a, b):
"""Calculates the subtraction of b from a.
:param a: The first operand of the subtraction.
:param b: The... | StarcoderdataPython |
162820 | from lml.registry import PluginInfoChain
__test_plugins__ = PluginInfoChain(__name__).add_a_plugin("test_io2", "reader")
| StarcoderdataPython |
9600709 | class ListNode:
def __init__(self, x):
self.val = x
self.next = None
def __str__(self):
l = ""
head = self
while head is not None:
l += str(head.val)
head = head.next
return l
class Solution:
def addTwoNumbers(self, l1, l2):
... | StarcoderdataPython |
8050913 | <reponame>RealityBending/Pyllusion<filename>pyllusion/Delboeuf/delboeuf_parameters.py
import numpy as np
def _delboeuf_parameters(
illusion_strength=0, difference=0, size_min=0.25, distance=1, distance_auto=False
):
# Size inner circles
parameters = _delboeuf_parameters_sizeinner(
difference=diff... | StarcoderdataPython |
4896440 | import pytest
from click.testing import CliRunner
from pagefunc import *
from cli import main
@pytest.fixture
def runner():
return CliRunner()
def test_cli(runner):
result = runner.invoke(main)
assert result.exit_code == 0
assert not result.exception
assert result.output.strip() == 'Hello, world.... | StarcoderdataPython |
9701554 | <reponame>kjdavidson/NoisePy
import pyasdf
import numpy as np
import time
'''
this script compares the speed of reading ASDF files with different size
the ultimate goal is to find the best way to read a chunck of data stored in the xxx
'''
def read_data(sfile,nseg,data_type,path):
with pyasdf.ASDFDataSet(sfile,m... | StarcoderdataPython |
9790318 | # Copyright (C) 2015-2020 ycmd contributors
#
# This file is part of ycmd.
#
# ycmd 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 3 of the License, or
# (at your option) any later version.
#
#... | StarcoderdataPython |
4936907 | from datetime import datetime
import json
import pg8000
import re
from config import CONFIG_DICT
from service import db_access
INSERT_TITLE_QUERY_FORMAT = (
'insert into title_register_data('
'title_number, register_data, geometry_data, is_deleted, last_modified, official_copy_data, lr_uprns'
')'
'valu... | StarcoderdataPython |
6653272 | # Licensed under the Apache License: http://www.apache.org/licenses/LICENSE-2.0
# For details: https://github.com/gaogaotiantian/viztracer/blob/master/NOTICE.txt
import sys
import argparse
import os
import subprocess
import builtins
import webbrowser
from . import VizTracer
from . import FlameGraph
from .report_builde... | StarcoderdataPython |
8044747 | from enum import Enum
class CommandType(Enum):
ROTATE = 1
MOVE = 2 | StarcoderdataPython |
1792813 | from urllib.parse import urljoin
from django.conf import settings
from django.db import models
from django.db.models.signals import post_save
from django.dispatch import receiver
from django.contrib.auth.models import User
from ...text import create_slug
from ..magic import MisencodedCharField, MisencodedTextField
... | StarcoderdataPython |
4951863 | import os
import psico.seqalign
DATA_DIR = os.path.join(os.path.dirname(__file__), 'data')
FILENAME_FATCAT = os.path.join(DATA_DIR, '1ubqA-1hezE.fatcat')
def test_needle_alignment():
A = psico.seqalign.needle_alignment("ACDEFGHIKLMN", "DEYGHVVVVIKLMN")
assert str(A[0].seq) == "ACDEFGH----IKLMN"
assert st... | StarcoderdataPython |
3474691 | #!/usr/bin/env python
'''
Simple script to call conda build with the current revision and version.
'''
import argparse
import subprocess
import json
from re import match
import os
NAME = 'python-clingox'
def get_build_number(channels, version):
'''
Get the next build number.
'''
try:
pkgs = j... | StarcoderdataPython |
8051545 | import logging
import sys
from datetime import datetime
from constants import TMP_DICT
class LogAdapter(object):
def getlogger(self, module_name):
logger = logging.getLogger(module_name)
# TODO: This need to be from config
logger.setLevel(TMP_DICT['log_level'])
handler = logging... | StarcoderdataPython |
11248377 | <reponame>ckamtsikis/cmssw<gh_stars>100-1000
import FWCore.ParameterSet.Config as cms
from RecoMuon.MuonIsolation.muonPFIsolationValues_cff import *
muPFIsoValueCharged03PFBRECO = muPFIsoValueCharged03.clone(
deposits = {0: dict(src = 'muPFIsoDepositChargedPFBRECO')}
)
muPFMeanDRIsoValueCharged03PFBRECO = muPFMea... | StarcoderdataPython |
3422089 | <reponame>XinghuiTao/ros2_turtlebot<filename>src/omniverse/omniverse/action_server.py
import rclpy
from rclpy.action import ActionClient
from rclpy.node import Node
from interfaces.action import Move
class MyActionClient(Node):
def __init__(self):
super().__init__('my_action_client')
self._action... | StarcoderdataPython |
1603725 | """
implement the qmix algorithm with tensorflow, also thanks to the pymarl repo.
"""
from functools import partial
from time import time
import numpy as np
import tensorflow as tf
from absl import logging
from smac.env import MultiAgentEnv, StarCraft2Env
from xt.algorithm.qmix.episode_buffer_np import EpisodeBatchNP... | StarcoderdataPython |
3454218 | import tensorflow as tf
from tensorflow.keras import backend as K
from tensorflow.python.ops.linalg.sparse import sparse as tfsp
from . import modes as modes
from . import ops as ops
def dot(a, b, transpose_a=False, transpose_b=False):
"""
Dot product between `a` and `b`, with automatic handling of batch dim... | StarcoderdataPython |
6691822 | from functools import reduce
from operator import mul
def persistence(n):
return 0 if (n < 10) else (1 + persistence(reduce(mul, [int(d) for d in str(n)])))
| StarcoderdataPython |
3407424 | # WiSe 17/18
from typing import List, Tuple
import lecture_classes as lc
# Leider braucht es für eine Erkennung der Namen mit pyflakes diesen
# syntaktischen Käse, ansonsten tut der Code auch mit einem einfachen
# from lecture_classes import *
Lecture = lc.Lecture
T = lc.T
morgen = lc.morgen
vormittag = lc.vormittag
m... | StarcoderdataPython |
1728777 | <reponame>globusgenomics/galaxy
class allele_walker:
'''
Given a set of site concordant records, call consensus on variants with matching alleles.
'''
def __init__(self, recordSet):
self.recordSet = recordSet
| StarcoderdataPython |
1860173 | <filename>core/controllers/filter_controller_var2.py
from numpy import dot, maximum
from numpy.linalg import solve
from numpy import sign
from scipy.linalg import sqrtm
import cvxpy as cp
import numpy as np
import scipy
from cvxpy.error import SolverError
from .controller import Controller
class FilterControllerVar2(C... | StarcoderdataPython |
3345307 |
import requests
import json
class ForloopClient:
def __init__(self, key=None, secret=None, url=None):
self.key = key
self.secret = secret
#self.session = requests.Session()
if url:
self.url = url
else:
self.url = "https://www.forloop.ai"
d... | StarcoderdataPython |
5040893 | <reponame>siddhantdixit/OOP-ClassWork
p = None
# print(id(p))
class Student:
def __init__(self):
self.name = "Siddhant"
# print(id(self.name))
self.roll = 123
global p
p = self.name
def __del__(self):
print("Deleted")
del self.name
del self.... | StarcoderdataPython |
6542341 | try:
from urllib.parse import urlencode
except ImportError:
from urllib import urlencode
import uiza
class UizaBase(object):
data_validated = None
connection = None
def create(self, **data):
"""
Create data
:param data: data body will be created
"""
data_b... | StarcoderdataPython |
116909 | <reponame>wood-ghost/PaddleOMZAnalyzer
import os, sys, os.path
import argparse
import numpy as np
import cv2
from openvino.inference_engine import IENetwork, IECore, ExecutableNetwork
from IPython import display
from PIL import Image, ImageDraw
import urllib, shutil, json
import yaml
from yaml.loader import SafeLoader
... | StarcoderdataPython |
8050099 | '''
预处理文本
'''
import json
def ht_txt2json():
'''
将 txt格式的英文版HP转换为json文件
'''
res = {"title": "", "chapterCount": 0, "chapters": []}
with open("tmp.txt", "r", encoding="utf-8") as rfp:
lines = rfp.readlines()
res["title"] = lines[0]
chapindexes = []
for i in range(1,... | StarcoderdataPython |
9656279 | # *****************************************************************
# Copyright (c) 2013 Massachusetts Institute of Technology
#
# Developed exclusively at US Government expense under US Air Force contract
# FA8721-05-C-002. The rights of the United States Government to use, modify,
# reproduce, release, perform, displ... | StarcoderdataPython |
1708152 | <reponame>mih/multimatch
#!/usr/bin/python3
import numpy as np
import math
import sys
import collections
def cart2pol(x, y):
"""Transform cartesian into polar coordinates.
:param x: float
:param y : float
:return: rho: float, length from (0,0)
:return: theta: float, angle in radians
"""
... | StarcoderdataPython |
219447 | <reponame>maxminoS/neurage<filename>packages/server/app/build_model.py
import numpy as np
import pandas as pd
import tensorflow as tf
import tensorflow.keras.layers as L
# import plotly.express as px
from sklearn.model_selection import train_test_split
def preprocess_data(filename):
data = pd.read_csv(filename)
# Co... | StarcoderdataPython |
11350955 | <reponame>smart-cow/scow<gh_stars>0
from xml.dom.minidom import *
from scowclient import ScowClient
def listUsers():
url = 'users'
sclient = ScowClient()
document = parseString(sclient.get(url))
users = document.getElementsByTagName('user')
for u in users:
idTag = u.getElementsByTagName('id... | StarcoderdataPython |
94697 | '''
*
* Copyright (C) 2020 Universitat Politècnica de Catalunya.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at:
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless requi... | StarcoderdataPython |
11331840 | import os
import h5py
import mat73
import numpy as np
"""
View HDF5 data structure
------------------------
"""
def traverse_datasets(hdf_file):
"""
Peak into matlab file and print the Key, Shape, Data type.
:param hdf_file:
:return:
"""
def h5py_dataset_iterator(g, prefix=''):
"""
... | StarcoderdataPython |
11247368 | <filename>Exercise_4_BTE_1.py<gh_stars>1-10
#Hexadecimal output
'''
In this exercise, you’ll see how a bit of creativity, along with the built-in 'reversed'
and 'enumerate' functions, can help you to get around issues.
For this exercise, you need to write a function (hex_output) that takes a hex number
and returns the ... | StarcoderdataPython |
4974330 | # -*- coding: utf-8 -*-
#
# # MIT License
#
# Copyright (c) 2018 <NAME>
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to ... | StarcoderdataPython |
1632126 | import numpy as np
# With a Q-learning algorithm returns how good is each response.
def player0(data, Q, player, valid, learning_rate, feedback):
actual = Q[data[player][0]][data[player][1]][data[player][2] - 1][data[player][3]][
int(np.log2(data[player][4]))] # How much it weights the actual state.
... | StarcoderdataPython |
3424451 | #!/usr/bin/env python
# This node subscribes to a topic published by rviz which gives a pose estimate for a robot
# and corrects its frame_id so that it will properly work in a multi-robot system.
# In a regular single robot system, rviz publishes pose estimates to /initialpose. In
# the multibot system, rviz is conf... | StarcoderdataPython |
1884941 | <reponame>caser789/libcollection<filename>lib_collection/priority_queue/tt.py
class Queue(object):
def __init__(self, capacity=2):
self.values = [None] * capacity
self.n = 1
self.capacity = capacity
def __len__(self):
return self.n-1
def _resize(self, capacity):
val... | StarcoderdataPython |
1772497 | <reponame>wk8/elle
# Copyright (C) 2009-2016, Quentin "mefyl" Hocquet
#
# This software is provided "as is" without warranty of any kind,
# either expressed or implied, including but not limited to the
# implied warranties of fitness for a particular purpose.
#
# See the LICENSE file for more information.
from .. impo... | StarcoderdataPython |
5146724 | <filename>hydrolm/__init__.py
from hydrolm.lm import LM
from hydrolm import util
| StarcoderdataPython |
9608020 | # Hack so that tests are importable in different levels
try:
from . import DatasetHandlerTester
except:
from util import DatasetHandlerTester
class SpotifyHandler(DatasetHandlerTester):
@classmethod
def setUpClass(cls):
# Make DataHandlerTester class methods available
super()
... | StarcoderdataPython |
11209539 | # pylint: disable=C0103
import tensorflow as tf
def shape_list(input_tensor):
"""Return list of dims, statically where possible."""
tensor = tf.convert_to_tensor(input_tensor)
# If unknown rank, return dynamic shape
if tensor.get_shape().dims is None:
return tf.shape(tensor)
static = ten... | StarcoderdataPython |
4931763 | <reponame>relax-space/thread-first
'''
说明: 多线程并发执行任务,比单线程要节约时间
'''
import time
from queue import Queue
from threading import Thread
def req1(param):
time.sleep(1)
return param
def main1():
return [req1(1), req1(2)]
def req2(param, res_value: Queue):
time.sleep(1)
res_value.put(param)
def mai... | StarcoderdataPython |
12852236 | v = int(input('Digite um valor: '))
validador = 0
contador = 1
while contador < v:
if v % contador == 0:
validador += 1
contador +=1
if validador > 1:
print(f'Esse número NÃO é primo, pois é divisível por {validador+1} números diferentes ')
else:
print('Esse número é primo') | StarcoderdataPython |
1771095 | import sys
from pypy.translator.llvm.log import log
from pypy.translator.llvm.typedefnode import create_typedef_node
from pypy.translator.llvm.typedefnode import getindexhelper
from pypy.translator.llvm.funcnode import FuncImplNode
from pypy.translator.llvm.extfuncnode import ExternalFuncNode
from pypy.translator.l... | StarcoderdataPython |
11282276 | <gh_stars>100-1000
from kivy.uix.popup import Popup
from kivy.properties import ObjectProperty, StringProperty
from kivy.lang import Builder
import kivy.uix.filechooser
Builder.load_file('persimmon/view/util/filedialog.kv')
# TODO: firx for write csv
class FileDialog(Popup):
"""File Dialogs is a popup that gets ... | StarcoderdataPython |
4809896 | from django.apps import AppConfig
class ProductStockConfig(AppConfig):
default_auto_field = 'django.db.models.BigAutoField'
name = 'product_management_models.product_stocks'
verbose_name = 'Product Stocks'
| StarcoderdataPython |
290796 | from random import randrange
class CodeMaker:
"""Implementation of AI logic."""
def __init__(self):
self.code = [None]*4
self.key_pegs = [0]*4
self.key_peg_amount = 0
def draw_code(self):
code = []
for i in range(4):
code.append(randrange(5))
s... | StarcoderdataPython |
301171 | from DbxSync.CodeTransformer.LineTransformer.StringLine import StringLine
class LineTransformerResolver:
def __init__(self, lineTransformers: list):
self.__lineTransformers = lineTransformers
def resolve(self, parsedLine):
for lineTransformer in self.__lineTransformers:
if lin... | StarcoderdataPython |
397025 | # Definition for singly-linked list.
# class ListNode:
# def __init__(self, val=0, next=None):
# self.val = val
# self.next = next
class Solution:
def sortList(self, head: Optional[ListNode]) -> Optional[ListNode]:
if not head or not head.next:
return head
arr = []
... | StarcoderdataPython |
4943370 | import FWCore.ParameterSet.Config as cms
from DQMServices.Core.DQMEDHarvester import DQMEDHarvester
from DQMOffline.EGamma.photonAnalyzer_cfi import *
dqmElectronOfflineClient = DQMEDHarvester("ElectronOfflineClient",
Verbosity = cms.untracked.int32(0),
FinalStep = cms.string("AtJobEnd"),
InputFile = cm... | StarcoderdataPython |
8033123 | import numpy as np
# BD-Rate and BD-PNSR computation
# (c) <NAME> (<EMAIL>)
def bj_delta(R1, PSNR1, R2, PSNR2, mode=0):
lR1 = np.log(R1)
lR2 = np.log(R2)
# find integral
if mode == 0:
# least squares polynomial fit
p1 = np.polyfit(lR1, PSNR1, 3)
p2 = np.polyfit(lR2, PSNR2, 3)
... | StarcoderdataPython |
4997936 | def recaman(n):
arr = [0] * n
arr[0] = 0
print(arr[0], end=", ")
for i in range(1, n):
curr = arr[i-1] - i
for j in range(0, i):
if ((arr[j] == curr) or curr < 0):
curr = arr[i-1] + i
break
arr[i] = curr
print(arr[i], end=", ")
# Driver code
n = 10
recaman(n)
| StarcoderdataPython |
8098726 | #!/usr/bin/python
#encoding=utf8
info = {"name":"xiaoming", "age":23, "sex":"male"}
print(info)
#获取info的所有的key
print(info.keys())
#获取所有的value
print(info.values())
#以数组元素的形式输出
print(info.items())
#获取某一个key的值
name = info['name']
print('name: %s'%name)
#获取一个不存在的key，并且设置默认值
print(info.get('home', 'www.baidu.com'))
#... | StarcoderdataPython |
264775 | # encoding:UTF-8
import tkMessageBox
from Tkinter import *
__author__ = 'Hope6537'
class Application(Frame):
def __init__(self, master=None):
Frame.__init__(self, master)
self.pack()
self.createWidgets()
def createWidgets(self):
self.nameInput = Entry(self)
self.nameI... | StarcoderdataPython |
11240264 | import math
import torch
from .constants import STAGES
from .constants import Any, Tensor, DataLoader
from .constants import Tuple, Dict, List
from .constants import Optional, Union
class LoopState:
"""
Maintains train/valid/test loop state for a single run of
a certain number of epochs, does not used to... | StarcoderdataPython |
3283978 | import asyncio
from asyncio import CancelledError
from typing import Any, Awaitable, Sequence, TypeVar, cast, Union
from protoactor.actor.exceptions import OperationCancelled, EventLoopMismatch
_R = TypeVar('_R')
class CancelToken:
def __init__(self, name: str, loop: asyncio.AbstractEventLoop = None) -> None:
... | StarcoderdataPython |
4868646 | <filename>assignments/counter_clinton.py
# Copyright (C) 2021 <NAME>
# MIT Open Source Initiative Approved License
# counter_clinton.py
# CIS-135 Python
# Assignment #10 Counters in Loops
# Rubric: 1 Point
# Use a python while loop that continuously runs as long as a user inputs the
# response 'y' for yes. Ins... | StarcoderdataPython |
11952 | # Copyright 2020 Google LLC. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | StarcoderdataPython |
17610 | <gh_stars>0
divisor = int(input())
bound = int(input())
for num in range(bound, 0, -1):
if num % divisor == 0:
print(num)
break
| StarcoderdataPython |
3200697 | from collections import defaultdict
import sys
import copy
# Read input data
graph = defaultdict(set)
dependencies = defaultdict(set)
visited = defaultdict(bool)
for line in sys.stdin:
words = line.strip().split()
edge1, edge2 = words[1], words[-3]
graph[edge1].add(edge2)
dependencies[edge2].add(edge1... | StarcoderdataPython |
313641 | import roxar
import roxar.events
def elist_qc_owners(elist):
"""Return a list of all events with non-standard event owners
Args:
elist: List of roxar events
Returns:
List of flawed events
"""
errlist = []
for eve in elist:
evdet = roxar.events.Event.details... | StarcoderdataPython |
3329075 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Feb 4 08:12:49 2018
@author: juan
"""
import cv2
import numpy as np
import torch
from torch.utils.data import DataLoader
from torchvision import transforms
from torch.autograd import Variable
from CDNet2014Dataset3d import CDNet2014Dataset3d, Rescale, ... | StarcoderdataPython |
3223477 | import glob
import cv2
import os
import numpy as np
from keras.models import load_model
labels = ["100won", "10won", "500won", "50won"]
model = load_model('model/my_model.h5')
img_path = glob.glob("data/origin_images/*.jpg")
for path in img_path:
# Read image
org = cv2.imread(path)
img = cv2.resize(org,... | StarcoderdataPython |
6526579 | # -*- coding: utf-8 -*-
from django.urls import path
from rest_framework_jwt.views import obtain_jwt_token, verify_jwt_token
app_name = "auth"
urlpatterns = [
path('login/', obtain_jwt_token, name="login"),
path('verify/', verify_jwt_token, name="verify"),
]
| StarcoderdataPython |
3310451 | <gh_stars>1-10
from bitcoin.core.script import *
from bitcoin.core import Hash160
import bitcoin.base58
import struct
import unittest
from hashlib import sha256
def payment_script(time_lock, secret_hash, pub_0, pub_1):
"""
this function making payment script for mm2 atomic swap
ported from mm2 rust code
... | StarcoderdataPython |
4815112 | <reponame>christopinka/django-civil
# -*- coding: utf-8 -*-
from django.contrib import admin
from django.utils.translation import ugettext_lazy as _
from civil.library.admin import BaseAdmin
from .models import *
#==============================================================================
class SavedSearchItemIn... | StarcoderdataPython |
4841173 | <filename>python/cugraph/dask/pagerank/__init__.py
from .pagerank import pagerank, get_chunksize
| StarcoderdataPython |
3460017 | <gh_stars>0
"""This module contains objects for auth endpoints"""
import os
import datetime
import jwt
from werkzeug.security import generate_password_hash, check_password_hash
from functools import wraps
from flask import Flask, jsonify, request, make_response, abort
from flask_restful import Resource
from flask_jwt... | StarcoderdataPython |
294206 | #!/usr/bin/python
#
#
import gi
gi.require_version('Notify', '0.7')
from gi.repository import Notify
# https://lazka.github.io/pgi-docs/Notify-0.7/functions.html
Notify.init("Your App Name")
# https://lazka.github.io/pgi-docs/Notify-0.7/classes/Notification.html
Hello = Notify.Notification.new("Hello world... | StarcoderdataPython |
235455 | import requests
from flask import render_template, url_for, request, redirect, jsonify, make_response
from flask_restful import Resource
from app import app, db, api
from models import Slide
class RestSlides(Resource):
#Handles the GET requests
def get(self):
response = {}
response['count'] = Slide.query.coun... | StarcoderdataPython |
6652922 | <gh_stars>0
import os
from datetime import datetime
from contextlib import redirect_stdout
from modeling.losses import build_losses
from modeling.miners import build_mining
from data.samplers import build_sampler
from modeling.models import build_model
from modeling.solver.optimizer import build_optimizer
from engine.... | StarcoderdataPython |
1661273 | <reponame>adobe-research/beacon-aug
# Copyright 2021 Adobe
# All Rights Reserved.
# NOTICE: Adobe permits you to use, modify, and distribute this file in
# accordance with the terms of the Adobe license agreement accompanying
# it.
from .operators import * # the class are not known until run time
from .adv... | StarcoderdataPython |
6638155 | <reponame>robust-systems-group/illusion_system
#!/usr/bin/python
#
# Copyright (C) 2020 by The Board of Trustees of Stanford University
# This program is free software: you can redistribute it and/or modify it under
# the terms of the Modified BSD-3 License as published by the Open Source
# Initiative.
# If you use thi... | StarcoderdataPython |
79408 | # Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserve.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | StarcoderdataPython |
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