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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
69f64b5b7fe7c70f20f392ec3b37f6a73753f062 | 54ce3b80c38a083c67b6d7dfaffa21953ffe7f73 | /load.py | e9f0d355c0f0fb8a44b5e4dca65cfcf9f7ee7af0 | [] | no_license | timmyneutron/CarND-Behavioral-Cloning | 9c3defd1b4098986b751e5bb77576cdfcc2f8a41 | 309b63e2961b19505c5141abb7d3093a9c21f3c9 | refs/heads/master | 2023-02-16T10:08:38.648498 | 2021-01-09T17:29:05 | 2021-01-09T17:29:05 | 80,518,414 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,534 | py | load.py | import pandas as pd
from scipy.misc import imread
from sklearn.utils import shuffle
import numpy as np
import matplotlib.pyplot as plt
def load_data(driving_log, num_images=None, augment=True):
'''
load image and steering angle data and return it as numpy arrays
'''
driving_log_df = pd.read_csv(driving_log)[["cent... |
db9dadb98b1d86c63a49b85b3f6360bd1d059eb1 | 2337351b228818e41be3002bd38f68f77c2aa074 | /core/etl/models/link.py | 3ef9586615b1f5f46be3c83b62d012b3d6474470 | [
"BSD-3-Clause"
] | permissive | nocproject/noc | 57d40c680a1499374463e472434f9595ed6d1374 | 6e6d71574e9b9d822bec572cc629a0ea73604a59 | refs/heads/master | 2023-08-31T01:11:33.544573 | 2023-08-30T17:31:11 | 2023-08-30T17:31:11 | 107,815,776 | 105 | 33 | BSD-3-Clause | 2023-07-31T07:57:45 | 2017-10-21T21:04:33 | Python | UTF-8 | Python | false | false | 680 | py | link.py | # ----------------------------------------------------------------------
# LinkModel
# ----------------------------------------------------------------------
# Copyright (C) 2007-2020 The NOC Project
# See LICENSE for details
# ----------------------------------------------------------------------
# NOC modules
from .... |
8bf1ab8d8976b7b4d2a439722b6a753837db86c5 | 9b09b39b937573dc4970415a27b4bd4ccb7b8867 | /hostingde/helpers/filters.py | 95711a24efdbc81a8312eab1b26297dfc48e9202 | [
"MIT"
] | permissive | DimeOne/no-hostingde-api | 94fd3c08d3e74a2cc500ced60eae89f3348ea62a | a183b6421ca1254fabf6abd6515a8471f9999405 | refs/heads/master | 2021-06-06T12:29:38.332542 | 2021-05-31T01:09:10 | 2021-05-31T01:09:10 | 133,837,492 | 7 | 0 | MIT | 2019-12-28T18:54:07 | 2018-05-17T16:00:06 | Python | UTF-8 | Python | false | false | 1,196 | py | filters.py | def getOrFilter(subFilters):
return {"subFilterConnective": "OR", "subFilter": subFilters}
def getOrFilters(**kwArgs):
return getOrFilter(getFilters(**kwArgs))
def getAndFilter(subFilters):
return {"subFilterConnective": "AND", "subFilter": subFilters}
def getAndFilters(**kwArgs):
return getAndFil... |
9508d810f6ae7467ebb7b74e08655ef9bac8a151 | 334fa8da329cb6d1eb7209085c0abf70f5a66aa4 | /day05/ws02.py | 0b2d5d23b4e9888e1b9da3d3c739b75736be82da | [
"Apache-2.0"
] | permissive | jaywoong/learn_python | adc8aa78df4658d4b7c51d97f5c4df3164621830 | 99daedd5a9418b72b2d5c3b800080e730eb9b3ea | refs/heads/master | 2023-06-13T01:06:38.363816 | 2021-07-04T07:32:59 | 2021-07-04T07:32:59 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 338 | py | ws02.py | score = [
['2019-01-03',10,12,14,10],
['2020-02-03',12,12,14,11],
['2020-03-03',13,13,15,12],
['2020-03-03',14,14,16,13],
['2020-04-03',15,15,17,14],
]
sum = 0
cnt = 0
for data in score:
if '2020' in data[0]:
for i in data[1:]:
sum += i
cnt += 1
print('2020년 %.2f'... |
b3ef3776f8f8a2c2e70889322a1d6ada898dc651 | 72825774b6885f46dbf8a3c082e9e24c77add463 | /Test_Data_Structures.py | fd68bf2e23b54206d34135a0307a07ba31cf113b | [] | no_license | sajit82/Pycharm_Projects | 9758c3957cd5aee36ef2986129aa87d00d914cdd | 4e486614b497a2f95c37e82b24891cb6e80a2b85 | refs/heads/master | 2020-12-21T21:03:59.641883 | 2020-02-22T06:51:53 | 2020-02-22T06:51:53 | 236,560,253 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 545 | py | Test_Data_Structures.py | fruit ="banana"
'n' in fruit
print(fruit.upper())
#searching a string
pos =fruit.find("na")
print (pos)
# search and Replace
chng = fruit.replace('na','xa')
print(chng)
# stripping white space
greet = " Hello Sajit "
print(greet)
greet.lstrip()
print(greet.lstrip())
greet.rstrip()
print(greet)
#Prefix
li... |
3e3ba8f0a037bc32ed8416dcfef35ca2b06f3ecc | 5cebf49f257bfa82a0baceaa0180a799b0640bf8 | /SConscript | c34528148ab9ab49b23a245b069d2cb58ecff936 | [
"Apache-2.0"
] | permissive | mgjeong/protocol-ezmq-cpp | ef3dfebceb2c3ae730928600c6581d45ab5805fc | 793f86542c59f92da3feec9f16848207cb118c5a | refs/heads/master | 2021-05-06T05:36:17.470817 | 2020-04-01T11:00:54 | 2020-04-01T11:00:54 | 115,125,114 | 2 | 1 | Apache-2.0 | 2020-04-01T11:00:55 | 2017-12-22T15:00:19 | C++ | UTF-8 | Python | false | false | 2,793 | SConscript | ###############################################################################
# Copyright 2017 Samsung Electronics 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
#
# h... | |
f6e1b6ff67c04a8563ad194662cf41eb779b7a4c | 26cb6c073f281fc1fdcfa9b8b1c62dd176df488a | /nanogen/cli.py | be64e109c24d95a401c89a54ff9e93bfb746aa10 | [
"MIT"
] | permissive | epochblue/nanogen | 56356471908e0eda114f6bf915a6ebfa4a37da3b | 940a40d5ab42d57b45b981c7ced8827aba74718a | refs/heads/master | 2020-03-29T16:53:54.060542 | 2018-03-26T02:12:48 | 2018-03-26T12:22:23 | 25,160,450 | 9 | 0 | MIT | 2018-03-26T02:14:35 | 2014-10-13T13:47:57 | Python | UTF-8 | Python | false | false | 2,562 | py | cli.py | import datetime
import os
import click
from nanogen import logger
from nanogen import version
from nanogen import models
@click.group()
@click.option('-v', '--verbose', count=True, help='Turn on verbose output.')
@click.version_option(version=version.version)
def cli(verbose):
logger.init_logger(verbose)
@cli... |
901bea09bf461b8984a424efa480aa017d5f1f1f | 7d7da70f479ad09226e67277cef8d5090463c29f | /vimeo_api.py | 0627e8a83f3f6cc1326fdaddf129cc2446c5294a | [] | no_license | Fontaineconsult/Amp_Auto_Captioner | 6b19abe4a629358ef51d2bed9f4768471bcfadba | 5abe058b747bd72251fe5ce674121b2419149912 | refs/heads/master | 2022-12-15T04:45:07.871599 | 2020-01-16T21:43:59 | 2020-01-16T21:43:59 | 226,404,224 | 2 | 1 | null | 2022-12-08T02:36:53 | 2019-12-06T20:25:11 | Python | UTF-8 | Python | false | false | 2,256 | py | vimeo_api.py | import requests
import base64
import json
import re
from config import Config
vimeo_config = Config()
class Vimeo(object):
def __init__(self, link):
self.link = link
self.client_identifier = vimeo_config.vimeo_client_identifier
self.client_secret = vimeo_config.vimeo_client_secret
... |
9a13d56da29c8a9259ef4eea59e05515e273254b | 024bebe009e55aa788ffdebceee18306199253dd | /Day_18.py | 47b7d206431e14231486511ec2161ae54a740daf | [
"MIT"
] | permissive | iamakkkhil/DailyCoding | 2b2818aebc7b01f693b8a60996a6935b249af9a8 | 8422ddbcc2a179f3fd449871e2241ad94a845efb | refs/heads/master | 2023-08-15T13:39:46.198053 | 2021-09-30T13:27:09 | 2021-09-30T13:27:09 | 294,115,015 | 10 | 1 | null | null | null | null | UTF-8 | Python | false | false | 925 | py | Day_18.py | """
DAY 18 : Determinant of a matrix.
https://www.geeksforgeeks.org/determinant-of-a-matrix/
QUESTION : Given a square matrix of size N x N. The task is to find the determinant of this matrix.
Expected Time Complexity: O(N^4)
Expected Auxiliary Space: O(N^2)
Constraints:
1 <= N <= 8
-10 <= mat[i][j] <= 10... |
ad425df4c0b71d5473158cfc61f262f00de29b76 | c066d2401c386d3830d908f50722d687a9836565 | /ood_regularizer/experiment/datasets/sun.py | b12a7479e61bd6857a71dc0ddb201d46ac53e8c1 | [
"MIT"
] | permissive | chenwenxiao/DOI | 4e0c990f5c7649dca6c06bb7fa986449645d4640 | 14bdedd0b1b886efe77737cfb62695f03ee17c58 | refs/heads/main | 2023-07-05T00:38:01.043625 | 2021-08-12T03:00:28 | 2021-08-12T03:00:28 | 395,169,383 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,158 | py | sun.py | '''
load lsun dataset as numpy array
usage:
import lsun
(test_x, test_y) = load_lsun_test()
'''
from PIL import Image
from scipy.ndimage import filters
import os
import tensorflow as tf
import numpy as np
TEST_X_PATH = '/home/cwx17/data/sun'
TRAIN_X_ARR_PATH = '/home/cwx17/data/sun/train.npy'
TEST_X_ARR_PA... |
254cc107bf6893cc538c1088a2c65c662e81dda1 | ace955477ef61203904ca54a10da793d4e749ffd | /bar_graph.py | ce39c4ff5aba7ca623037a9bcd73490b8c4f5908 | [] | no_license | lucaspesso4/data-visualization-matplotlib-python3 | 1a6f4b3e5b5b551d62e7b17a109edae869b07d00 | 44b8e4486ca39302642d8259e7bb7df86ce8a123 | refs/heads/master | 2020-04-14T21:48:23.118780 | 2019-01-04T18:20:02 | 2019-01-04T18:20:02 | 164,140,706 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 273 | py | bar_graph.py | import matplotlib.pyplot as plt
# data
x = [1, 2, 3, 4, 5]
y = [2, 3, 7, 1, 9]
# titles
graph_title = 'A Simple Title Here'
x_title = 'X Title'
y_title = 'Y Title'
plt.title(graph_title)
plt.xlabel(x_title)
plt.ylabel(y_title)
# graph functions
plt.bar(x, y)
plt.show() |
6f9ebaa97025618e77b1c3aaa339088649d4715b | 70fa997255d87e343a1bf21167ac7b1a5d52fa5b | /pizza_project/pizza/pizza/core/migrations/0030_siteconfiguration_notification_is_enabled.py | a6be6d3fddfbe76ae351d5ea81bf9564d02b1404 | [] | no_license | nikivay1/pizza | e20ae6df362096d70ce894b71c79cab4f865a797 | c7f241ab54886597b0daf4147f862166e57f8fc8 | refs/heads/master | 2022-12-21T07:11:58.684603 | 2020-09-29T06:32:12 | 2020-09-29T06:32:12 | 299,525,641 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 522 | py | 0030_siteconfiguration_notification_is_enabled.py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.2 on 2017-08-18 17:53
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('core', '0029_availablestreet_keywords'),
]
operations = [
migrations.AddFie... |
36558ae57168cfdc6f91222e6a75d2ac9a05f17c | 268df80fe21df0cc1b1651a60b8eebbc5424acc9 | /backend/movieassets/serializers.py | 454333d4f8af0e2f764e043e8d27506980349df7 | [
"MIT"
] | permissive | lahim/interview-starwars | 8c8e99669991bfd413890b3ea8fea4902c26ff34 | 643eb0ad147faef1faf02ab2a88e130e4f3dcbaa | refs/heads/main | 2022-12-28T11:25:42.725004 | 2020-10-11T20:55:29 | 2020-10-11T20:55:29 | 303,178,679 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,227 | py | serializers.py | from rest_framework import serializers
from . import models, services
class CharacterListSerializer(serializers.ModelSerializer):
created_date = serializers.SerializerMethodField()
def get_created_date(self, obj: models.Character):
return obj.created_date
class Meta:
model = models.Chara... |
f2977ef3ae80d7a78f82bf791cbb435d6c0ecfc7 | c3bf6bbb2503d28d0d2a93fc1524dc7fb8249615 | /basicmonitor/api/action.py | 9132250012b7c6067913d69d260b6a3e8770f82f | [] | no_license | TorbenFricke/basicmonitor | 9317ab2c78b38d521a4bc04ffc520192cbcbf2d0 | c636f2d7efc80831008c23fa4b6030b3183d505f | refs/heads/master | 2022-11-19T09:25:11.533201 | 2020-07-22T20:26:36 | 2020-07-22T20:26:36 | 271,049,360 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,003 | py | action.py | from flask_restful import Resource
from werkzeug.exceptions import abort
from flask import request
import basicmonitor.actions
from basicmonitor import validators, state
from basicmonitor.actions import actions_available
from basicmonitor.api.base import DetailApi, ListCreateApi, ErrorResponse
_validation_mask = {
"... |
927b8e9b978e0be9acfa019e3e9f853582327f99 | 94dce809f3468a605fb97fcddf2397b9e915633e | /MCGS.py | a7075bcee0039c2547f2c626e3d4ff2c3f128567 | [] | no_license | csuvis/MCGS | 8e925f74248993ed0654caa04931d059e0ce6ffe | 574f3c3e6f913266fea01ea59bd403eb8bc9acb3 | refs/heads/master | 2023-07-13T21:12:12.300391 | 2021-08-23T13:59:57 | 2021-08-23T13:59:57 | 287,762,478 | 10 | 1 | null | null | null | null | UTF-8 | Python | false | false | 26,013 | py | MCGS.py | import math
import random
import networkx as nx
import numpy as np
class MCGS(object):
"""Create an mino-centric graph sampling (MCGS) algorithm model.
Parameters
----------
None
Returns
-------
m : MCGS object
An MCGS object represents the MCGS sampling algorithm instance model... |
702a06f373421e09e424352b95c8e307fd417e98 | 88560c9233af0f41feb5d7bb56d26897873fc7df | /binarytree.py | 0a34a2c11c336df2036ded1d6cbe79b3a3cc7b97 | [] | no_license | cloud976/lcResovle | ca96127d2ccf8486c1a48babb8e8be8bbd2d50c8 | d31cadaf9d7284b86827e8464438a7cf987f63f7 | refs/heads/master | 2021-06-24T07:07:06.512396 | 2021-02-24T09:07:38 | 2021-02-24T09:07:38 | 199,309,006 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 690 | py | binarytree.py | # Definition for a binary tree node.
class TreeNode(object):
def __init__(self, x, left, right):
self.val = x
self.left = left
self.right = right
class BinaryTree(object):
def __init__(self, lst):
lstLen = len(lst)
self.lst = lst
self.len = lstLen
self._... |
304f5efb9cea84fe87877c390d6726729998a076 | b11afb9b8dba6c8a0a12658cc0ee840f4341e8ce | /Python/IP_Proxy/ip_proxy/proxy_finder/you_finder.py | 57077dc170cfb8bb0795cd0704765c184c99bbac | [] | no_license | bcylmj/Program | fe4c709f2edf305815cd8a670bd8d9e56d58bfcc | 3fab2ba8bc3a9ece65f24ca751eb97c7fadbf401 | refs/heads/master | 2023-06-15T15:54:58.319633 | 2021-07-12T08:01:45 | 2021-07-12T08:01:45 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 38 | py | you_finder.py | # http://www.youdaili.net/Daili/http/
|
2459b458f8de60428e8d88e8c252f3cc7abfda31 | 9d881e93cf86db5b132d71167a6734a6559523f5 | /migrate.py | ac31428bf39872e4db51c52d160f8ec3517f0d88 | [] | no_license | iksteen/djoek | b5e2d3ebeee219ac57acfdcb7c8f4a39f9172382 | d433e1d2d076f011f274b9b6fb3b82a8735b2272 | refs/heads/master | 2022-04-26T20:10:09.742906 | 2020-04-17T13:27:52 | 2020-04-17T13:27:52 | 257,214,891 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,712 | py | migrate.py | import asyncio
import os
import mutagen
import peewee
from psycopg2.errors import UndefinedColumn, UndefinedTable
from psycopg2.extensions import parse_dsn
import djoek.settings as settings
from djoek.models import Song, User, database
from djoek.mpdclient import MPDClient
def migrate_extension() -> None:
datab... |
ebb5503579e196d671cdf8d85b6672d82382986e | 7b148a36ba81d925bd8cc641982439b51729683c | /cvm/tests/test_tfm_ssd.py | b618a3aa967821b72cdf337e668dfcb3423dd7bd | [
"Apache-2.0"
] | permissive | CortexFoundation/tvm-cvm | 27e6c25b5102ae78343654ce82fa5c8d8a4c3126 | d8941dc60a51dd27a6d2accc1eff2eced3b3640d | refs/heads/dev | 2021-06-26T10:22:00.174707 | 2020-02-05T08:48:12 | 2020-02-05T08:48:12 | 146,860,856 | 6 | 0 | Apache-2.0 | 2020-04-08T09:13:22 | 2018-08-31T07:58:47 | Python | UTF-8 | Python | false | false | 10,452 | py | test_tfm_ssd.py | import mxnet as mx
from mxnet import ndarray as nd
from mxnet.gluon import nn
from mxnet import gluon
import utils
import gluon_zoo as zoo
import sym_pass as spass
import sym_utils as sutils
import sim_quant_helper as sim
import dataset
from transformer import *
import transformer as tfm
from tfm_pass import convert_p... |
eeaedbf809f3a48b2d289c7ea546480d27144987 | 159cd20a8570f4acce8d32ed2d1b052be25e3936 | /exercises/management/commands/createdecimalmultiplication.py | f46c34f9a659c59f43af5d51d183cced7cb381ae | [] | no_license | fredericosachweh/amostra2 | 95e717eb0ce7ef03326670326c00765ae8bc6a35 | e2d24a82462a735fc722f0b228be04a4495185c1 | refs/heads/master | 2021-01-17T14:48:32.079439 | 2014-10-09T00:08:29 | 2014-10-09T00:08:29 | 84,095,273 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,526 | py | createdecimalmultiplication.py | from _decimals import DecimalMixin
from createmultiplication import Command as BaseCommand
from exercises import models
class Command(DecimalMixin, BaseCommand):
help = "Create decimal multiplication exercises."
category = 'multiplicacao-decimal'
option_list = BaseCommand.option_list + DecimalMixin.optio... |
77faabd999a9738206198b3d0083382799617b12 | 80929080a4c1f3bc9182a1bba8cfecc12c91088d | /train.py | 143c49bf55f5e4f3d79766e08c750dfdfa3b15eb | [] | no_license | novdov/tf2-transformer | 915a3fd6830ba7b3827bd5cdfc3cf75d62bb5163 | f4e2d273a9795c9f43e9cc649925f8f155758627 | refs/heads/master | 2020-05-05T08:22:53.258362 | 2019-09-12T07:51:05 | 2019-09-12T07:51:05 | 179,861,845 | 3 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,125 | py | train.py | import argparse
import os
from pathlib import Path
from transformer.model import Transformer
from transformer.trainer import Trainer
from transformer.utils.hparams_utils import Hparams
parser = argparse.ArgumentParser()
parser.add_argument("--output_dir", type=str)
parser.add_argument("--mode", type=str)
args = parse... |
351ea122b9066bbb67b2be626b58a75864cbbbab | 30134d697e196f58ffedbf95f40026c4265d1c88 | /CA2/q1.py | 62ff41493b8803d2afe415f61068c420c16e3265 | [] | no_license | codamin/Data-Structures-Algorithms | c919535c734f98f5a7484871a805bd4ad47c00d4 | 94ce3f18dd50fdf9871d23baf1fbd230ce0d30e8 | refs/heads/master | 2021-12-02T05:51:01.721875 | 2021-11-26T09:06:24 | 2021-11-26T09:06:24 | 196,724,634 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 342 | py | q1.py | def Gooni(n , from_elevator, to_elevator, with_elevator):
if n == 1:
print (from_elevator, to_elevator)
return
Gooni(n-1, from_elevator, with_elevator, to_elevator)
print(from_elevator, to_elevator)
Gooni(n-1, with_elevator, to_elevator, from_elevator)
n = int(input())
Goo... |
2a7b44c2c40a9aea6130bb994835b7e0f4477c75 | 2fcc0bd3bfba6cd0536b9fa78fa918ec30a43e67 | /predict/lstmTrainer.py | bebb46a2a0ca30ba7b667908eb94af39f503ff46 | [
"Apache-2.0"
] | permissive | Ancientshi/LSTM-TimeSequencePrediction | feee00d6d1401423d7aa55d922a4248d92c87c36 | 26f6f7fc255c0952d956318e65662c46e3391a7b | refs/heads/main | 2023-02-09T19:53:23.088166 | 2021-01-05T09:23:09 | 2021-01-05T09:23:09 | 325,945,250 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,183 | py | lstmTrainer.py | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
'''
@File : predictor.py
@Contact : Ancientshi@gmail.com
@Modify Time @Author @Version
------------ ------- --------
2020/10/27 10:56 上午 Ferdinand 1.0
@Desciption
----------------
面向对象
----------------
'''
import re
import ... |
e85902d2ff31186d1fe85277445a71ecbda27b1f | 4b43568b62c8ff702f065c71645cf7c580d8b2d0 | /panda_gazebo/tests/manual/rviz_markers_text_publisher.py | 8c13a8cfa63fd77f9840fda50b2e1d2b6d71c4c1 | [
"MIT"
] | permissive | rickstaa/panda-gazebo | 45c6b5b2aa1e6f27e7029119c9e69223137ce9c7 | 70a22fa4e1bc96a84c9f664c4031d18b5a8f5d01 | refs/heads/noetic | 2023-09-01T21:01:28.754882 | 2023-08-31T19:14:43 | 2023-08-31T19:14:43 | 353,980,386 | 5 | 2 | MIT | 2023-09-11T08:40:02 | 2021-04-02T10:07:05 | Python | UTF-8 | Python | false | false | 1,270 | py | rviz_markers_text_publisher.py | #!/usr/bin/env python3
"""Small python script that publishes a marker."""
import rospy
from geometry_msgs.msg import Point, Pose, Quaternion, Vector3
from std_msgs.msg import ColorRGBA, Header
from visualization_msgs.msg import Marker
class MarkerBasics(object):
def __init__(self):
self.marker_object_obje... |
d46f6e876e1721d6fefaf2ff1a4b532e84de6371 | 6ebfca7157c85b0508f2937c5c4c92af726efdd7 | /unscramble/Yeni Metin Belgesi.py | d04eb10e015970ed43d37dbc7a7472f58757966c | [] | no_license | wictorianx/UnScramble | 8e9b91ab8a10e68b259d098db8ec978677ac4f92 | bf98f3369918765a4ba1026d819c76997513073a | refs/heads/main | 2023-06-29T22:59:50.304690 | 2021-08-03T01:42:14 | 2021-08-03T01:42:14 | 392,150,420 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 599 | py | Yeni Metin Belgesi.py | theBool = True
a = 1
wordsFile = open('myfile.txt', 'r')
words = wordsFile.read().splitlines()
while(theBool):
scrambledWord = input()
while(theBool):
wordsList = []
scrambledList = []
if a <= len(words):
print(scrambledWord)
word = words[a-1].lower()
print(word)
a += 1
if len(scrambl... |
c56fee645057a453df88cffa83d5d632bd031946 | 4672204681c2188f26da2aa0e49e145305203eee | /src/tensorboard/tensorboard.runfiles/org_tensorflow/tensorflow/python/ops/random_ops.py | cf77bd3bfdfa9cc4e6fbd529e9523d892e30769b | [] | no_license | csgcmai/NBNet | ab11ad73bb1b1e98698e85987971f8f85592c526 | 0a0ca190e858bb7cb3a91cea8e7f917144a45f57 | refs/heads/master | 2023-04-09T06:31:48.409726 | 2020-01-16T16:11:50 | 2020-01-16T16:11:50 | 161,860,236 | 11 | 4 | null | 2023-03-24T23:51:05 | 2018-12-15T01:58:52 | Python | UTF-8 | Python | false | false | 83 | py | random_ops.py | /home/comp/csgcmai/local/tensorboard/tensorflow/tensorflow/python/ops/random_ops.py |
4961ad1b229cb290a0c44b3a95d37c27aae1a0b8 | dbe279ec46c0ca98940bedfed7cc3ad49de8402f | /utils/__init__.py | dc063f806943d3d7fc6ead804929ea4749d7c892 | [] | no_license | kevinge314gh/zhihu_crawler | 2102e235c28bd7fdd982d99fc6b97e502fb81d1c | e51c221c68199d97580ee7e931bee8f05e740824 | refs/heads/master | 2021-01-10T08:22:53.715844 | 2015-11-18T14:05:31 | 2015-11-18T14:05:31 | 45,098,036 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 21 | py | __init__.py | __author__ = 'wkguo'
|
7416e65811466204335259561f62a51545fe2074 | 410babf88fbef4c6a702d32a25188c69ddccdf31 | /aws_dashboard/content/aws/access_and_security/keypairs/forms.py | 8a59357931f9aa4b37f5f3fdd823a49ace9e6e81 | [
"Apache-2.0"
] | permissive | dennis-hong/aws-dashboard | 120a6c5e3c5531693cf3f47bde49631ae38ab3d2 | 6184e8499758041fdecdcb7080fd5257ae9edbff | refs/heads/master | 2021-01-21T18:18:01.496506 | 2017-07-11T15:16:07 | 2017-07-11T15:16:07 | 92,030,915 | 2 | 2 | null | 2017-07-11T15:16:09 | 2017-05-22T08:36:46 | JavaScript | UTF-8 | Python | false | false | 3,352 | py | forms.py | # Copyright 2012 United States Government as represented by the
# Administrator of the National Aeronautics and Space Administration.
# All Rights Reserved.
#
# Copyright 2012 Nebula, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the... |
2fee72825669556744ff135c36f5f1e31f1fed5c | 15d6d74172d0927687bf39401582e8f2ce943dab | /package_test/test_workspace.py | 1b8a4fdea13f9a657a79cbebb0a66a08dff59c2f | [] | no_license | VencenZhao/py-utils | c5b861c5d7ddc49db54e29838574c65855f65d9b | f079df1159efb9c6d9fa4034487618dd9a433875 | refs/heads/master | 2022-01-20T02:55:52.774028 | 2019-07-24T02:51:36 | 2019-07-24T02:51:36 | 198,378,922 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 252 | py | test_workspace.py | # -*- coding: UTF-8 -*-
import sys
sys.path.append('..')
from package_geoserver.Workspace import Workspace
def main():
workspace = 'hotgridtest'
work = Workspace('2204')
# print(work.delWorkspace(workspace))
if __name__ == '__main__':
main() |
27d6a235e732e19c2e1ecbca0d252a1d3f0cfc24 | 991edbb744e504c2851b2d7c823919babd21e0c9 | /oop/assignments/assignment21.py | 39eb5f3fabf5330d361067161ada928761fc57d9 | [] | no_license | bharatchitara/oop | c0716ca0fd128c4f54f1aaf2f62e0a87917de28f | 1c407ec24ac8a07a23210a04cc26c5398766ae3c | refs/heads/master | 2022-11-20T09:48:55.170537 | 2020-07-05T10:23:02 | 2020-07-05T10:23:02 | 255,582,257 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,580 | py | assignment21.py | #from gi.overrides.Gdk import name
class Patient:
def __init__(self,patient_id,patient_name,list_of_lab_test_ids):
self.__patient_id = patient_id
self.__patient_name=patient_name
self.__list_of_lab_test_ids=list_of_lab_test_ids
self.__lab_test_charge=None
def get_patient_id(self... |
9e04bd2e9057c25c70065fd9f967112e14df1c97 | 0c61fb9213db92214f6ed63e6ff3fecbc32f2a2b | /blog/migrations/0010_auto_20181211_1210.py | dfb9e90b2df547b8e4703e8784d77e8a8e4159b9 | [] | no_license | kairok/NekidBlog | 089eb19cd248d663735e9eb9faae06d52142e9d0 | 09237ff059684759fbb5141151b64d5904ad4448 | refs/heads/master | 2020-04-10T09:19:03.713901 | 2018-12-11T10:40:28 | 2018-12-11T10:40:28 | 160,932,874 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,000 | py | 0010_auto_20181211_1210.py | # Generated by Django 2.1.4 on 2018-12-11 06:10
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('blog', '0009_auto_201812... |
100921744dca601370f1a68c76408d50f981ed95 | 4dddd01ca6a60f2fa408ee55fbaebe868917184a | /myappium/baseinfo/test_touchAction.py | 6e38082484698f1cb344e65184ee0737656221df | [] | no_license | fanpl-sourse/all_study_practice | 6f056c18f0eb7afd6af649e5b595895683bb0cbd | b02f25231855e149b95476b20dd8d53318cfe1a5 | refs/heads/master | 2023-01-22T09:13:15.107616 | 2020-11-30T05:53:43 | 2020-11-30T05:53:43 | 304,493,176 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,590 | py | test_touchAction.py | # -*- coding: utf-8 -*-
# @Time : 2020/10/30 08:28
# @Author : 饭盆里
# @File : test_touchAction.py
# @Software: PyCharm
# @desc : touchaction 操作
from time import sleep
from appium import webdriver
from appium.webdriver.common.touch_action import TouchAction
class TestTouchAction:
def setup(self):
... |
e7ff4005d15572072ab0ac9bab250939b67d116d | c44ef291040b21a6d0f2d2f6a88c890c9b7fd2d4 | /20210911KAKAO/programming1.py | 6d63f2ce41756b57c86cb16688e8fc0ea4fe4652 | [] | no_license | jasper-oh/coding-test-algorithm | d12b4d4e7dca37fae3b29373f6df4bbb7bae5878 | 84c5e44cf6150b46a004ddbb21f888e600db53f9 | refs/heads/master | 2023-08-04T15:30:52.549056 | 2021-09-14T04:12:21 | 2021-09-14T04:12:21 | 325,912,718 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,086 | py | programming1.py | # 문제 설명
# 신입사원 무지는 게시판 불량 이용자를 신고하고 처리 결과를 메일로 발송하는 시스템을 개발하려 합니다. 무지가 개발하려는 시스템은 다음과 같습니다.
# 각 유저는 한 번에 한 명의 유저를 신고할 수 있습니다.
# 신고 횟수에 제한은 없습니다. 서로 다른 유저를 계속해서 신고할 수 있습니다.
# 한 유저를 여러 번 신고할 수도 있지만, 동일한 유저에 대한 신고 횟수는 1회로 처리됩니다.
# k번 이상 신고된 유저는 즉시 게시판 이용이 정지되며, 해당 유저를 신고한 모든 유저에게 정지 사실을 메일로 발송합니다.
# 게시판 이용이 정지된 유저도 불량 이용... |
4e0a3ae2202463d77a34b57ec966dc8058d197d3 | b391e099981ca145e7ba2ee615342078b4039d0c | /setup.py | 6094b1602d76f3c92e35d597ba8cf6251bf967d4 | [
"MIT"
] | permissive | mayachiraz/computational-aesthetics-1 | 5cad5c8bf92881db562cb19dad5518170bd1d8aa | 4a7b59b6de31c5f70f3536b5870de933b3b56101 | refs/heads/main | 2023-07-17T07:07:48.903076 | 2021-08-28T12:07:00 | 2021-08-28T12:07:00 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 811 | py | setup.py | import setuptools
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
setuptools.setup(
name="computational aesthetics",
version="0.0.1",
author="Justin Ruan",
author_email="justin900429@gmail.com",
description="Python package for making computational aesthetics f... |
97171513124414674d62441be0c932e385b95f65 | 65f4c57529c901d0dbe1d6f1ff9b3336b80b2d66 | /test.py | 220e5a8fcb4cb26660787317fb5052daa2f0daeb | [] | no_license | mr-haseeb/cat_vs_dog | 7bc0c6fd33cb2108691796321f28cdb1a769e91a | 4ea906082cedafa24b9c34d72b2a79c87b4a6a25 | refs/heads/master | 2021-05-18T03:45:10.833626 | 2020-04-02T09:43:33 | 2020-04-02T09:43:33 | 251,089,332 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 94 | py | test.py | import cv2
img_arr=cv2.imread('PetsImages/Cat/0.jpg')
print(img_arr)
list=[34,34,34]
import
|
82efc4d87762a46a41fc49d26ba57ee4229ae0e5 | ba5b8f2732643f58cd32f3447245e9c8026ebca5 | /apps/yuancheng/urls.py | e1ce7b36a2b3090cbd2eeb3269fbfdd218274c7b | [] | no_license | zhouzhousc/EB | 928bdf94e6a9bfb154d7299fcd577bbd43d495c6 | 58237ef45fde5b071cd365c565b6f2ac5b9a5dae | refs/heads/master | 2022-12-17T04:59:26.384638 | 2019-11-26T07:40:31 | 2019-11-26T07:40:31 | 224,131,754 | 0 | 0 | null | 2022-12-08T06:16:29 | 2019-11-26T07:43:12 | HTML | GB18030 | Python | false | false | 609 | py | urls.py |
from django.conf.urls import include, url
from apps.yuancheng import views
from rest_framework import routers
route = routers.DefaultRouter()
# 注册新的路由地址
route.register(r'delivery', views.GateWaySetting)
app_name = 'apps.yuancheng'
urlpatterns = [
url(r'^manage', views.YuanchengManageView.as_view(), name='yuan... |
f759130533a7ed6c992a0950ab3b610e41939e88 | e23fb8c9505dcd49ce276db5568673b53b5f9174 | /predict_GRU_CUDA.py | b4c240f209c06a50e442e822fc5683961e602201 | [] | no_license | HIT-WI/CascadingFailure | 9d2a7e1bd2ff57a497cd1de89881279a436d6600 | 296ddba17c4317377029f65618129bf2aaa21a30 | refs/heads/master | 2023-03-27T21:04:33.671312 | 2021-03-30T15:54:33 | 2021-03-30T15:54:33 | 295,616,617 | 4 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,589 | py | predict_GRU_CUDA.py | import numpy as np
import torch
from torch import nn
import time
epochs = 2000
SEED = 16
np.random.seed(SEED)
cuda = torch.cuda.is_available()
if cuda:
torch.cuda.manual_seed(SEED)
class CF(nn.Module):
def __init__(self, input_dim, hidden_dim, layer_num):
super(CF, self).__init__()
... |
f10d09e52c728ab71fe7311ff58441194e8c73b1 | f5cf9ae4506afde349267495ddb49cfa3bf1c53c | /federation/tests/entities/diaspora/test_entities.py | d28ad7c3682c861b81751222360e90bb05626ec8 | [
"BSD-3-Clause"
] | permissive | teotikalki/federation | 8275bce0c2f9a5646a71ed7426a9a3d81541250d | afee56cac6253cea8d302412d00c44d4a0112f6b | refs/heads/master | 2020-03-26T12:58:10.622492 | 2018-07-23T13:28:08 | 2018-07-23T13:28:08 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 14,910 | py | test_entities.py | from unittest.mock import patch, Mock
import pytest
from lxml import etree
from federation.entities.base import Profile
from federation.entities.diaspora.entities import (
DiasporaComment, DiasporaPost, DiasporaLike, DiasporaRequest, DiasporaProfile, DiasporaRetraction,
DiasporaContact, DiasporaReshare)
from ... |
661503bf6d78dae8cc88623c9d319551f5fef466 | b539cf1381d2d14137f272bb817889f3470096d8 | /register/models.py | f65b81b2ae8bbef0b3a75e04ba77674b97381045 | [
"MIT"
] | permissive | omwomotieno/tunza_v3 | 3a01b21fa58a290ff5d7d7d679fd663ee69d187a | e717770e37b08a5afedfc6c172a9ccaa4e2a5747 | refs/heads/work_branch | 2020-12-24T18:51:35.258069 | 2016-05-11T07:21:35 | 2016-05-11T07:21:35 | 56,657,291 | 0 | 1 | null | 2016-04-27T11:19:12 | 2016-04-20T05:15:24 | Python | UTF-8 | Python | false | false | 1,541 | py | models.py | from __future__ import unicode_literals
from django.db import models
from phonenumber_field.modelfields import PhoneNumberField
from django.core.urlresolvers import reverse
import uuid
import datetime
class Patient(models.Model):
anc_number = models.SlugField(max_length=6)
uuid = models.UUIDField(default=uuid... |
9e95936f2075ed6d03a641f9651e5112e7373dd3 | eb160ae058d7e5b9d843e07d810e7045f72576e2 | /appserver/app/db.py | 06c27a5a358ea61152c3b8f8d0ce15f341b93f33 | [] | no_license | bookbnb-G7/bookbnb-appserver | cdb76618aafa20fe7c587dc1f8fc129a1141462e | 8fd24bf0e26e2a01dcac3716f8eaed70e9efc4da | refs/heads/master | 2023-03-12T22:21:57.726832 | 2021-03-05T03:35:41 | 2021-03-05T03:35:41 | 304,004,597 | 0 | 0 | null | 2021-03-05T03:35:41 | 2020-10-14T12:13:53 | Python | UTF-8 | Python | false | false | 921 | py | db.py | import logging
import os
from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
logger = logging.getLogger(__name__)
DATABASE_URL = os.getenv("DATABASE_URL")
ENVIRONMENT = os.getenv("ENVIRONMENT")
engine = None
session = None
if ENVIRON... |
d0b5f534677ff151adf4e41e4b28a404c1901ca7 | f779bf889ab838db26ef6b2fd289d41f961d4656 | /myproject/auth/views.py | 3b637346a2c69034bda4d41008ca2bcc76cc5de2 | [] | no_license | marvelyko/GAMEHUB_project | f1891c34d8f05c1a13180978c80f0890d1728071 | 0143a0abc1dc9cd5aea57910ae5c62269ff536b9 | refs/heads/master | 2023-01-08T21:50:59.307147 | 2020-11-10T16:56:43 | 2020-11-10T16:56:43 | 308,418,595 | 0 | 3 | null | 2020-11-02T06:39:25 | 2020-10-29T18:39:27 | HTML | UTF-8 | Python | false | false | 1,644 | py | views.py | from flask import Blueprint, render_template,redirect,url_for,flash
from myproject import db,active_users
from myproject.models import Gamer
from myproject.auth.forms import LoginForm, RegistrationForm
from flask_login import login_user
auth_blueprint = Blueprint('auth', __name__, template_folder='templates/auth')
@a... |
9dd9fb0c0a766ff84b53fc6217588f84ff278204 | 54876a7fc70aeab3adfeede0183a32c867654593 | /Aula 12/Exercicio1While.py | 4b002f6e3b26510cc76877ae3100937e6af4766d | [] | no_license | WilhMiller/Pythonblue | 081db9b019a0841aa8bb2f2285b10b4d82c36ecf | 33927af0263176df0b484d3f4a2d0ebfa8b586bb | refs/heads/master | 2023-04-11T16:14:45.552108 | 2021-05-19T01:18:43 | 2021-05-19T01:18:43 | 366,552,547 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,064 | py | Exercicio1While.py | #01 - Crie um programa que leia dois valores e mostre um menu na tela:
# [ 1 ] somar
# [ 2 ] multiplicar
# [ 3 ] maior
# [ 4 ] novos números
# [ 5 ] sair do programa
# Seu programa deverá realizar a operação solicitada em cada caso. (utilizar while sem break)
numeros = list()
while True:
valor1 = i... |
3c56c1d985a1fe04b3f48fa3b4b63658791e657c | db3f6c53ac10a1665d04b0fa76884265bbeabc46 | /python/test6.py | 5aeda8f645e4d8ec6fb2431ef7a3749d8b45d758 | [] | no_license | kingalok/mydata | 5771d5ebcec3aa8b3c18cc4b899a1a342d0936fa | d8c85df7861589d99cf4291db236d13c3b5acf82 | refs/heads/master | 2020-03-17T04:42:30.006488 | 2018-06-29T00:13:06 | 2018-06-29T00:13:06 | 133,285,797 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 58 | py | test6.py | a=[1,2,3]
print(a[0])
print(a[1])
print(a[2])
print(a[3])
|
ad81e99c0d51dcb878e9af1f3a89d691c16c1d18 | 4a7b98a0125613efed3b6498103c501d4e818845 | /inventories/forms/inventory_item_forms.py | 87b83685cb5c904c08d72596c4752669adbc0dfc | [] | no_license | dpeinado/Acriladmin | 7a8b87416e88a40193f7c2396e6484a787163a92 | e5ff43c748b8c00249849dc1a555794591280eeb | refs/heads/master | 2021-03-21T08:11:28.207649 | 2016-11-07T02:11:49 | 2016-11-07T02:11:49 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,785 | py | inventory_item_forms.py | from dal import autocomplete
from django.forms import ModelForm
from inventories.models import ProductInventoryItem, MaterialInventoryItem, ConsumableInventoryItem, \
DurableGoodInventoryItem
class TabularInLineProductInventoryItemForm(ModelForm):
"""
Custom form for adding or changing a product inventory... |
53c81d9b3f63b07c86cdc0e8c13c3400c01579c6 | f9f8a78b0391ecd36775a2917b0f29e4e6b14149 | /myvenv/Chapter5/05.조건실습문제5.1.4.py | 618980707eef273a9d7b24c5a0331ad615426480 | [] | no_license | lftys2021/github-landing | e64a1fd19936c69ba1a1931e1b9cfe8072f093aa | d1aecfafc87cc88803e0c40a661e2c36f49784a8 | refs/heads/master | 2023-07-03T11:59:55.243485 | 2021-08-17T07:37:26 | 2021-08-17T07:37:26 | 397,155,714 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 339 | py | 05.조건실습문제5.1.4.py | kor = int(input("국어 >>> "))
mat = int(input("수학 >>> "))
eng = int(input("영어 >>> "))
ave = (kor + mat + eng) / 3
if ((kor <= 0 or kor > 100) or (mat <= 0 or mat > 100) or (eng <= 0 or eng > 100)):
print("잘못 입력하였습니다.")
else:
if (ave >= 80):
print("불합격")
else:
print("합격") |
2f37ad8a7e5fec712928e77a98e09d939b3c550d | 849185b23eedd1b44481be2fa2503f2c8126ca60 | /exo2.py | 6f636a99d76fed74dd4cbc39c71b36e8a295d74a | [] | no_license | hyath/test | 9eb67e0f16e449507623f7935a153c52caefb526 | 8a5ec78f7f2a54f0c0666fcee7d26dd761743fba | refs/heads/master | 2020-12-02T21:57:52.918407 | 2019-12-31T19:17:00 | 2019-12-31T19:17:00 | 231,136,618 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 248 | py | exo2.py |
x=int(input("Donner la premiere valeur:"))
y=int(input("Donner la deuxieme valeur:"))
z=int(input("Donner la troisieme valeur:"))
t=float(input("Donner la premiere valeur:"))
a=(x+y+z+t)/4
al=(log(x)+log(y)+log(z)+log(t))/4
g=e(al)
print(al)
|
02902c3552d19738e3eb95f9bbf0b4ef4e9e463b | e9818941f972bd82050cb8d42b81cd00ed6fafed | /Classical Ciphers/Substitution/CaesarCipher/caesar_encrypt.py | ca71330553797465f16faf9890483e42932d4062 | [
"MIT"
] | permissive | kcwong395/SecurityTechnology_Note | 06d1e746ce86e10b16ab3d4698c4abcf15841b22 | e35c8df78a2a0e53df8154b4664f0a50139367c5 | refs/heads/master | 2020-04-23T01:05:57.997236 | 2019-08-02T10:03:43 | 2019-08-02T10:03:43 | 170,802,656 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 654 | py | caesar_encrypt.py | # This function intends to encrypt plaintext using Caesar Cipher
def CaesarEncrypt():
plainText = input("Plaintext: ")
key = input("Key: ")
cipher = ""
for letter in plainText:
if 'a' <= letter <= 'z':
# ord(letter) - ord('a') gives the index in alphabetical sequence
# ... |
3b65d89b11366596b72d883c1816426776c422ed | 06b67e2685d0be4939b5f8f4a9f831edc684fc2f | /halotools/sim_manager/tests/test_supported_sims.py | 957962f20f933fb1b8a15811fbf084218dff85ff | [
"BSD-3-Clause"
] | permissive | aphearin/halotools | 87261c1480e350a23e94a3444ad2f790eead8691 | 405b175a5a63a05326ba58b9076291f267a04f1d | refs/heads/master | 2023-07-08T12:26:25.638097 | 2023-07-03T12:44:20 | 2023-07-03T12:44:20 | 29,250,115 | 2 | 2 | null | 2018-05-01T13:36:07 | 2015-01-14T15:15:58 | Python | UTF-8 | Python | false | false | 3,444 | py | test_supported_sims.py | """
"""
from __future__ import absolute_import, division, print_function, unicode_literals
import numpy as np
import pytest
from astropy.config.paths import _find_home
from ...custom_exceptions import HalotoolsError
from ..cached_halo_catalog import CachedHaloCatalog, InvalidCacheLogEntry
slow = pytest.mark.slow
ap... |
079316b0ee6f96a77223925fe91189e0b4bf11fe | d8c3f841d63636a2fb9d9ad703405e55eaf39d7e | /evaluate.py | 942ee532c85e92756c82cfebe90714a4bdaaffee | [] | no_license | makomoco/wordnet | ef25cc66d7695c3d36a24f73f260e99b872f510b | 48714558c667f0ae1b3935a590d11193a22c6961 | refs/heads/main | 2023-03-03T10:29:32.736707 | 2021-02-12T05:54:14 | 2021-02-12T05:54:14 | 319,501,689 | 0 | 1 | null | 2020-12-21T23:46:28 | 2020-12-08T02:23:30 | Python | UTF-8 | Python | false | false | 335 | py | evaluate.py | import numpy as np
# コサイン類似度
def cosine_similarity(x, y):
return np.dot(x, y) / (np.sqrt(np.dot(x, x)) * np.sqrt(np.dot(y, y)))
# コサイン類似度（正規化）
def cosine_similarity_normalized(x, y):
return np.dot(x, y)
# ベクトル正規化
def vector_normalized(x):
return x / np.linalg.norm(x)
|
eea5e2e8b7b2ce8f7b0b56aac362c9dba7c7abe8 | 9f74b821f2abaaf5ad389a86c13e46373fc7cd65 | /Day01/Demo05/Demo03ListMethods.py | 1fd5e1a2f72a51cd90aa38fe36894b8158557b1b | [] | no_license | Shanchance/PythonLearnDemos | 3a63d0141f82758fffe0ea4539b6fc919cbea02e | 9c368baf3aff735a76c7d69756e61c176640bf6f | refs/heads/master | 2022-11-18T14:43:11.774923 | 2020-07-12T10:23:47 | 2020-07-12T10:23:47 | 279,038,057 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 217 | py | Demo03ListMethods.py | a = [10,20,30,20,40,10,50,80]
print(a[2])
print(a.index(20))
print(a.index(20,2,5))
print(a.count(20))
print(20 in a)
print(20 not in a)
b = a[1:5:2]
print(b)
c = a[-3:]
print(c)
for i in a:
print(i,end=" ")
|
dae2ede11243eb086bc93801c7ec25e635dda47d | bdd5ed594c63f5ff1dec9e0be7db4f985cfe0527 | /fontes/modularity_analysis.py | 61a5ed392b506ef092ee3f798c37111f3a8a61f4 | [] | no_license | concatto/ttc-univali | aa7d3a4aaddc579178963cc0ef0fca79085766e8 | da157740e97265d36594d9b72de6b46988823c20 | refs/heads/master | 2020-05-30T23:36:51.825550 | 2019-11-19T16:07:01 | 2019-11-19T16:07:01 | 190,019,992 | 0 | 2 | null | null | null | null | UTF-8 | Python | false | false | 1,601 | py | modularity_analysis.py | import pandas as pd
import numpy as np
import preprocessing
import community_detection
import network_utils
import modularity_analysis
import networkx as nx
def export_result(G, communities, file_name=None):
nodes = {
'Id': list(G.nodes()),
'Label': list(G.nodes()),
'ModularityClass': communities
}
... |
2d17b8d90a3c74d5b4e198d7aeb84cec5d90d169 | 6c456b7ae9a02218114d3f538f06bbbfcff8f6b1 | /scripts/models/speech_data.py | fd5dcaf347e9a63022a8fc917e31f1456dca3f68 | [] | no_license | bryandeng/f0-cm | d8cff37513db9666393e6fb65e2182518b7634f9 | 9ddb25390d69cea29f4a4b7e34cbb80003954077 | refs/heads/master | 2020-04-14T23:17:39.531800 | 2016-08-22T08:43:03 | 2016-08-22T08:43:03 | 52,429,709 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,536 | py | speech_data.py | #!/usr/bin/env python3
import math
import os
import numpy as np
import pandas as pd
from sklearn import cross_validation, preprocessing
from sklearn.externals import joblib
hdf5_basedir = "/home/bdeng/datasets"
def load_dataframe(method):
hdf5_path = os.path.join(hdf5_basedir, "features_data_" + method + ".h5"... |
d8973a21636e669240ae804eff58b88e8a15bef5 | a9b1c650689467a285bf49cf8ac80c3c85e3cc0a | /lisa/main.py | 102b20644c98a4e20e0e05c5a79fa4185b83f8b9 | [] | no_license | kwarwp/kesha | 4653c1383b7b1f08ea035c3ee3bdf1e62b3dddd8 | f563d6280875ec4752f2a40cc832f27bc37c659c | refs/heads/master | 2021-06-02T02:26:44.487585 | 2020-07-24T23:31:16 | 2020-07-24T23:31:16 | 131,900,604 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,186 | py | main.py | # kesha.lisa.main.py
# kesha.kellee.main.py
from _spy.vitollino.main import Cena, Elemento, Texto, STYLE, INVENTARIO
from browser import html, document, alert, doc
from _spy.vpython.main import *
STYLE["width"] = 700
STYLE["height"] = "600px"
FUNDO = "https://i.imgur.com/EzWk7Jl.jpg"
QAZUL = "https://i.imgur.com/lWDGIv... |
f6bc0354ec8bba1e94f88ad9ba5cb223a230a1b7 | cdec16a6c4cd4e7793a83c2a583a6e110c9e619e | /flask_fun/ninja_gold.py | 4e45c979079fece4fff6cf420142ae35bebf68d6 | [] | no_license | tClark93/pythonSmall | a65dc7cbbeee13b9b7f70ae40417324412fa0a64 | 5c0b36d549c3a96b7eccbd0624dc1e6932287ed6 | refs/heads/master | 2020-03-28T19:03:16.556699 | 2018-09-15T21:06:05 | 2018-09-15T21:06:05 | 148,939,867 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,546 | py | ninja_gold.py | from flask import Flask, render_template, request, redirect, session
from random import randint
from datetime import datetime
app = Flask(__name__)
app.secret_key = 'gold_secret'
# secret keys encrypt sessions, you can't start without it
@app.route('/')
def index():
if 'gold' not in session:
session['gold'... |
17252d219030872f8044661d07363e59a63678f0 | 56979675da487ea8ec4d5ec432f04465f04c23ec | /AutoQueuing/DriverApp/migrations/0004_auto_20171219_1617.py | f5c97cb20ab6820025b9c40c2c274cd188033e57 | [] | no_license | pnagle/AutoQueuing | abc5b68e7adddc7a34714d0ae271e6093b716126 | 8a2375cc2e726ab98ce2e17e9c5d94c6c5e84eba | refs/heads/master | 2021-09-01T10:53:11.632317 | 2017-12-26T16:08:35 | 2017-12-26T16:08:35 | 114,856,739 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 566 | py | 0004_auto_20171219_1617.py | # -*- coding: utf-8 -*-
# Generated by Django 1.9.5 on 2017-12-19 10:47
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('DriverApp', '0003_auto_20171218_1932'),
]
operation... |
db70db95775108f9d77c04851a6e353ecaf17aea | 0e4b15850af7fc896d9e0e1830d09952742d3fff | /Get Images/move_images.py | 2f9f41ce76ac7a3af4a74d158a398da3a81d99d4 | [] | no_license | Vivek06Sharma11/Yolov3 | fe7d46916e9227070b1e8299f24741080be6568c | 85e7a0960c1c4689e3e7ccff7e8004932027aed3 | refs/heads/master | 2022-11-15T10:40:21.998228 | 2020-07-16T18:14:48 | 2020-07-16T18:14:48 | 280,069,802 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 319 | py | move_images.py | import os
imgList=os.listdir('images')
path = os.path.join("/home",os.getlogin(),"YOLOv3-Series","OpenLabelling","images")
makeDirectoryCommand = "mkdir -p \"{}\"".format(path)
os.system(makeDirectoryCommand)
for image in imgList:
os.rename(os.path.join("images", image), os.path.join(path, image))
print("Done") |
87579ced5d78f55fe8884a208dcf491740e6d4b9 | 68cfbd0ab0e30cf8735c4babd18f5d95cc9a3fdb | /pocket-PLA.py | 44f0aac54dced445447e08b1d6fdc99264694482 | [] | no_license | damirseit/pocket-PLA | 434cb886a6dd95fb962dd940b1e1cd06e2e816ec | 0fa1bce4301fee351b44409487e750484beebaf4 | refs/heads/main | 2023-03-22T09:39:53.168299 | 2021-03-19T09:25:11 | 2021-03-19T09:25:11 | 349,365,017 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,012 | py | pocket-PLA.py | import numpy as np
import matplotlib.pyplot as plt
import random
N = 100
l1 = [N/2, random.randint(0, N/2)]
l2 = [0, random.randint(0, N/2)]
t = 1000
wbest = np.array([[1, 1, 1]])
werrin = N
def perceptron(x, y, w, T, wbest, werr):
upd = 0
j = 0
while j < t:
cnt = 0
for i in range(x.shape[0]):
... |
fbbe964cb201e72df65b6bf22b69a51289786a14 | 8cc11a2209c37e0bedb87b5179dd3d059a95ae40 | /tester/searching_engine.py | a9b45f8a387bd1bb88926c01c675586523e3318a | [] | no_license | victorianorton/team-five | 481060a2d8bbe83cc108edf40bc61647a9a9d609 | 7d83a538ea8c14936fe20357f871bd6c9bb3f5b8 | refs/heads/master | 2020-03-30T03:15:27.594603 | 2015-02-11T19:29:31 | 2015-02-11T19:29:31 | 32,226,830 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,717 | py | searching_engine.py | __author__ = 'xi'
import sqlite3
from DBconnector import AddressBookDB
db_name = "yellowpagersdb.db"
def show_address_book():
with sqlite3.connect(db_name) as conn:
conn.cursor()
cur_addressbook = conn.execute('select unique_id from people')
conn.commit()
for row in cur_addressbook:
... |
a70bb9955047279785c9bfcc22fd3b7ccfa28086 | 07f81f8c2cec8c369d863d0b7b28c2044c529360 | /Tools/normalize_sentence.py | 0df51eccff5cc320251c78312a21742f8dd58cb0 | [] | no_license | DayLAI/SemEval2018-Task8 | f9e295d098b259c52088e205c27722d3a3ed5add | 6e34d9320c95f43fa493a396a93ddae2f0b84de5 | refs/heads/master | 2022-03-12T16:14:26.026560 | 2017-09-20T11:32:12 | 2017-09-20T11:32:12 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 245 | py | normalize_sentence.py | import os
import sys
# Manage imports above this line
def normalize(input_sentence):
print(input_sentence)
return 0 # End of main
if __name__ == '__main__':
sentence = " ".join(sys.argv[1:])
print(sentence)
sys.exit(0)
|
c8e092632c3dd533d39c8bdd37689e5f526274f0 | 99c9b4db267c6044f60396cb05640f5e252aa9f1 | /demo.py | 5ebb8f208636ce7918994d160a2cd65b760d5ab3 | [] | no_license | TristanTrim/shapeRelations | 6ef8b9ba1a010f679d11c7e2a209fa2005188b26 | 9f92a816fd3fe6a95e5a51f8e45347db406f3498 | refs/heads/master | 2021-12-09T03:47:30.374374 | 2021-11-18T14:39:01 | 2021-11-18T14:39:01 | 43,736,014 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,014 | py | demo.py |
import pygame
import random
import shapes
# Window dimensions
width = 640
height = 400
screen = pygame.display.set_mode((width, height))
clock = pygame.time.Clock()
running = True
bigCircle = shapes.Bob()
bigCircleCopy = shapes.Circle()
smallCircle = shapes.Circle(radius=25)
square = shapes.Square(position=(250,25... |
174791bbc58187aac2d44e799c1f6f1346c83ca4 | ca50867149a2b1bf95ed5233466e6bfcfcb95e28 | /day_14/page6.py | db2d1f17026d9886a46330193bdfbb9181e2eaef | [] | no_license | pythoncpp/Python01 | f89e3b57cb0b35d4506db42d2a31d7ad1794ec13 | d61f98f50426c2cd57daac36abbdcb6f6179aa87 | refs/heads/master | 2020-08-03T22:23:37.377176 | 2019-10-20T14:59:04 | 2019-10-20T14:59:04 | 211,903,538 | 4 | 3 | null | null | null | null | UTF-8 | Python | false | false | 822 | py | page6.py | # import admin.faculty
#
# f_1 = admin.faculty.Faculty('faculty 1', 'subject 1')
# print(f_1)
# import admin.faculty as faculty
#
# f_2 = faculty.Faculty('faculty 2', 'subject 2')
# print(f_2)
# from admin.faculty import Faculty
#
# f_3 = Faculty('faculty 3', 'subject 3')
# print(f_3)
# from admin.faculty import Fa... |
842eccded8bc62c7289bf3a4b0555716c264c359 | 7287476cf52b95090a250b4768e029636f7a5dfe | /spider3/weekly/webapp.py | d7c59869f733182cfd10f78905bcd5530ec67b16 | [] | no_license | francishcheng/temp | 5bd206eea9b0becf6c595e92ad7f223eb5b56d02 | 34134ec0f79c9b7a8f98125c13a10d6072375300 | refs/heads/main | 2023-08-26T03:24:28.672451 | 2021-10-13T15:13:47 | 2021-10-13T15:13:47 | 416,791,530 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,294 | py | webapp.py | import pymongo
import time
import configparser
from datetime import datetime as dt
import datetime
from collections import defaultdict
import json
import os
from pathlib import Path
import pathlib
import requests
import numpy as np
import pandas as pd
import hmac
import hashlib
import base64
import urllib.parse
import ... |
1a49beaaf83f27d044342031d13e79a9def8eee7 | b97fa7ac0fd430be1d7ddf1effcf0e0414c70ea7 | /exercise/Array/80/solution.py | dbd569459396861dbf32dda523f138854f128a09 | [] | no_license | zizhazhu/leetcode | a22aa55d045e7e54ff4cb661262e7832fff5b6ee | b28702d2a2a4d2c18f92b83eb7e6287603fe92d3 | refs/heads/master | 2021-11-24T19:32:59.127336 | 2021-11-03T06:26:36 | 2021-11-03T06:26:36 | 159,351,863 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 349 | py | solution.py | class Solution:
def removeDuplicates(self, nums: List[int]) -> int:
if len(nums) <= 2:
return len(nums)
pre = 1
for i in range(2, len(nums)):
if nums[pre] == nums[pre-1] and nums[i] == nums[pre]:
continue
pre += 1
nums[pre] = nu... |
d4572b877e1002e0e4a4035c50e3ef98dc3b1160 | 3cee528b424e4ab6cc2333a16082011c82ff962d | /src/spicy/core/siteskin/templatetags/sk.py | 2a30904b015e5d3ee12db372498d90c5e9556e0d | [] | no_license | SkyForger79/spicy.core | 0de54d35fcce74bba649d521875c9715fb443d27 | 3a0318dab45cd4843af6a874918b15185c73ed1b | refs/heads/master | 2020-03-11T11:38:18.110278 | 2018-04-17T23:11:49 | 2018-04-17T23:11:49 | 129,974,623 | 0 | 0 | null | 2018-04-17T23:02:12 | 2018-04-17T23:02:11 | null | UTF-8 | Python | false | false | 3,852 | py | sk.py | import datetime
from django import template
from django.template.defaultfilters import stringfilter
from django.utils.html import conditional_escape
from django.utils.safestring import mark_safe
from spicy.core.siteskin import utils
register = template.Library()
class GenericSSINode(template.Node):
def __init... |
31ced3b67139a25b83df881145498439421279f5 | a74babd851bad505fa2af1baaa5714a844cadaa4 | /w2MediumTwo.py | 36cbed9658c07df84530989a9636fe724401df7e | [] | no_license | Mattie-07/DCWork.python | 5efedd29ac562354b6dbfc0529ce9e5b12d411a7 | 95964371ebf5b9a29ee94540763e347ad6fe2c7e | refs/heads/main | 2023-01-14T08:35:45.142216 | 2020-11-19T04:45:58 | 2020-11-19T04:45:58 | 311,861,863 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 269 | py | w2MediumTwo.py | def word_histogram(word):
count = {}
newWord = word.lower().split()
print(newWord)
for x in newWord:
if x not in count:
count[x] = 1
else:
count[x] += 1
return count
print(word_histogram("To be or not to be")) |
b1af1d6525af92d6c94523abdb9194b33776c7b4 | e6a9757d19e166871b0decbf25dc9ebef3a5ef55 | /app.py | 9105fda434caa9210443747192d3dd68d5fd80bc | [] | no_license | Omkar0/Drive | 0d6932e88463832b70f094c26eab38a0e6839bbd | 55cddd394f2198865739b4b721057359c7b33e84 | refs/heads/master | 2020-09-11T07:42:05.822061 | 2019-11-15T19:51:05 | 2019-11-15T19:51:05 | 221,986,678 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,339 | py | app.py | #import dependencies
from flask import Flask, request, session, make_response,jsonify, send_from_directory, send_file
from flask_restplus import Resource, Api, fields, reqparse
from flask_pymongo import PyMongo
import werkzeug
import os
#instantiate app
app = Flask(__name__)
#instatiate api-object
api = Api(app)
emai... |
2aa5bc4bba37dca15bac0b493b7856dc7b602675 | 4383a48f993250842684ebdfaa69745d8e305604 | /dbcall.py | 6d548b815623e07660b2cb78a9d6273d78d91825 | [] | no_license | stopmissing/login-kivy-sqlite-python3-gui | 16d8183e61e52ff2deb5334324b77f938a393002 | e0b177f9681138c7692851a1c2d33db9c1d0fa5b | refs/heads/master | 2023-05-06T02:12:54.945472 | 2019-06-29T04:22:07 | 2019-06-29T04:22:07 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,160 | py | dbcall.py | import sqlite3
import random
import string
def random_16_digit_genrator(n):
string_pass = ''.join(random.choice(string.ascii_uppercase + string.digits) for _ in range(n))
return string_pass
def insertintologin(username,password):
conn = sqlite3.connect('login.db')
c = conn.cursor()
userflag = False
... |
6bec8d62cbe3f700300522d8298580e003a40b77 | 807305b8aefbd7aac4f44c67deed06c059ca02d9 | /tests/molecular/molecules/molecule/fixtures/polymer/linear.py | 63cdba6e8ef7202e5ec7c8a61ea411291ca8b963 | [
"MIT"
] | permissive | supramolecular-toolkit/stk | c40103b4820c67d110cbddc7be30d9b58d85f7af | 46f70cd000890ca7c2312cc0fdbab306565f1400 | refs/heads/master | 2022-11-27T18:22:25.187588 | 2022-11-16T13:23:11 | 2022-11-16T13:23:11 | 129,884,045 | 22 | 5 | MIT | 2019-08-19T18:16:41 | 2018-04-17T09:58:28 | Python | UTF-8 | Python | false | false | 3,417 | py | linear.py | import pytest
import stk
from ...case_data import CaseData
@pytest.fixture(
scope="session",
params=(
lambda name: CaseData(
molecule=stk.ConstructedMolecule(
topology_graph=stk.polymer.Linear(
building_blocks=(
stk.BuildingBloc... |
cb4e20879c59c6c8eb7ef91c558037396b17c0c4 | 13b31d0bc43cb9add11865b272e904e70df8a26d | /app/forms/SizeTableForm.py | c709b8249870c23c0f8bbcd146eb16707ac7d9b7 | [] | no_license | psamborski/czzk-v.2019 | 2e9a2c47e261f7a0874612e39e1d4e18b8d9d50f | 90c3b18a31db89e85b3244dbd06fb730ff269994 | refs/heads/master | 2021-06-13T19:45:58.685620 | 2020-03-13T23:34:16 | 2020-03-13T23:34:16 | 165,959,916 | 1 | 0 | null | 2021-03-20T00:31:42 | 2019-01-16T02:33:20 | HTML | UTF-8 | Python | false | false | 559 | py | SizeTableForm.py | from flask_wtf import FlaskForm
from wtforms import SubmitField, TextAreaField
from wtforms.validators import DataRequired, Length
class SizeTableForm(FlaskForm):
content = TextAreaField(label='Tabela',
validators=[
DataRequired(message='To pole nie może... |
0d5ad8b8612ae03dab619713b1d32def95b63205 | cc127d59b62bba9d6ce5e32b1a6f7fb13fe45115 | /palindrome_number.py | d544da590596bf530cc46de423d4f9346d292f65 | [] | no_license | dsnowb/leetcode | 5049fe69e82ba1631631473c3bd5eb93ae41c33c | b49f96e22e25cafae75f2fdcded971c4c6677fdf | refs/heads/master | 2020-03-19T22:51:43.238122 | 2018-09-27T19:15:28 | 2018-09-27T19:15:28 | 136,984,177 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 530 | py | palindrome_number.py | class Solution:
def isPalindrome(self, val):
"""
:type x: int
:rtype: bool
"""
if val < 0:
return False
if val < 10:
return True
lst = []
while True:
lst.append(val % 10)
if val < 10:
brea... |
3d860dc49c9cbc7f75f48672b15f75633d7365ae | 6397692bade269ca38ee6f8a9f8d5a87ca7e8d3f | /app/api/v2/views/usersviews.py | 87abd1a2eaba0a1ca997d0f0da4048a9283c45e1 | [] | no_license | Philipotieno/Questioner-API | 2a60df5b23f6e9de5aa1f21943ac5dd17ee1c022 | 51e5f479aba526959ac0b9f512e13c11ae282287 | refs/heads/develop | 2022-12-11T04:20:39.796022 | 2019-02-15T08:28:13 | 2019-02-15T08:28:13 | 164,468,288 | 1 | 0 | null | 2022-12-08T01:31:37 | 2019-01-07T17:37:58 | Python | UTF-8 | Python | false | false | 2,268 | py | usersviews.py | from flask import Blueprint, jsonify, request
from werkzeug.security import generate_password_hash, check_password_hash
from flask_jwt_extended import create_access_token
#local imports
from app.api.v2.models.usersmodels import User
from app.api.v2.views.validator import validate_register
from app.api.v2.models.db imp... |
61867cee2b3378116974ea20feeef32aa1c1af79 | 0d39e91482abe7f40523e9e225ede5464295888f | /ansible_mitogen/transport_config.py | aa4a16d0172848930e006bd4c612a0817cbbba79 | [
"BSD-3-Clause"
] | permissive | eamanu/python-mitogen | bdccdd7ceca4f1b114bf3e28556eb0d959b008e8 | e93c7aae83b130abe1ef2dcf829d32e40f9fe8b1 | refs/heads/master | 2022-04-29T17:01:32.451975 | 2019-10-24T00:30:20 | 2019-10-24T00:45:18 | 217,181,829 | 1 | 0 | BSD-3-Clause | 2022-03-29T21:58:20 | 2019-10-24T01:02:03 | Python | UTF-8 | Python | false | false | 22,185 | py | transport_config.py | # Copyright 2019, David Wilson
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# 1. Redistributions of source code must retain the above copyright notice,
# this list of conditions and the following disclaimer.
#
# 2.... |
959f477179e17882d4d1540fdda1c95629cb7e1f | bef493674cb6cd58817bd75d14f9169f2ba0741c | /MathCurious/Num142857.py | 730916d16b63a30241d9a188d58f663fd34136e5 | [] | no_license | gazstao/PythonCourse | ed2d2e9ab327592ff6a02b1c0034be49ba31dd4f | 30cc034bf7d82cec39e73ee7fcceaa7f69513828 | refs/heads/master | 2022-10-07T04:17:30.216349 | 2022-09-19T22:24:54 | 2022-09-19T22:24:54 | 232,926,339 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 968 | py | Num142857.py | #from numba import jit, cuda
from datetime import datetime
import numpy as np
print("Gazstao (f) 2019-12-31 00h19")
for i in range (15):
print("i = {} x 142857 = {}".format(i, i*142857))
for i in range (19):
print("i = {} x 0588235294117647 = {}".format(i, i*588235294117647))
#calcula pi
#@jit(target ="cuda")... |
3ba21882636328df2888aa972042d9b656ac7ad1 | bc68ad77c933a502c11abbc92c9c1e2ce565d426 | /preprocess_scipy/utils.py | 8e27d3d18d6fa14e3c1bf55dcb38d5dbf3b2fba0 | [] | no_license | wuzhenyusjtu/SRCNN | 9a79ec74857d2a3bbd551bd8525f13f320528000 | 9260b800809fffdd6c1e38e7384fb534bccf0bc5 | refs/heads/master | 2020-03-28T02:23:18.193145 | 2018-09-05T19:16:20 | 2018-09-05T19:16:20 | 147,566,849 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,884 | py | utils.py | """
Scipy version > 0.18 is needed, due to 'mode' option from scipy.misc.imread function
"""
import os
import glob
import random
import matplotlib.pyplot as plt
from PIL import Image # for loading images as YCbCr format
import scipy.misc
import scipy.ndimage
import numpy as np
import cv2
import tensorflow as tf
try:... |
aef2f16fc1a54d883fc4a921fe6e8fa6c6cc91a0 | 31220b0d257d9dc71fef028aba988bc66a6672d4 | /Programacion 1/Ejercicios/Clases y Objetos - Ejercicio 7.py | 95754eef8d7018aafc7bc2482637272e32919a7a | [] | no_license | adriannovoatagle/Carrera-Tecnico-Superior-en-Soporte-de-Infraestructuras | 3a580c83d79e830978b2ed51fb17a7b61510af93 | 3360f157d6e586a8157fd0d96615baa0bf8bd689 | refs/heads/master | 2023-01-10T11:58:02.171663 | 2020-11-03T21:11:34 | 2020-11-03T21:11:34 | 309,794,210 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 280 | py | Clases y Objetos - Ejercicio 7.py | class ej7:
def __init__ (self,x,n):
self.x = x
self.n = n
def funcion(self):
a = self.x
b = self.n
print('Salida: ',pow(a, b))
x1 = ej7(int(input('Ingrese base: ')),int(input('Ingrese exponente: ')))
x1.funcion()
|
8134cadb199fe5f9423c9eff5182fe4631d4b714 | f08fba610124ef57cb42c2bffe98158420169ded | /jtab/__main__.py | 0d6c7db09f3a497c265821239a2efa708e6c471a | [
"MIT"
] | permissive | jonathangjertsen/jtab | c9976488b727df6b55b68f0032dc1d65ce396c29 | 69d24bfd6aba05be23fcbaed9520a625f19cd95b | refs/heads/master | 2020-12-13T19:24:41.694451 | 2020-01-17T20:06:08 | 2020-01-17T20:06:08 | 234,509,269 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 830 | py | __main__.py | from jtab import (
get_empty_grid_string,
get_notes,
get_relative_note,
get_standard_tuning,
TabGrid,
)
if __name__ == "__main__":
tuning = get_standard_tuning()
example = """
|--------0-------|--------0-------|--------0-------|--------0-------
|------3---3-----|------3---3-----|---... |
17608aac04fd8200942482e0ac5152c13f61b300 | 2e1bf52e3bfeb6c565c91235f8559e4f2a12090a | /Samples/python/brian.py | 3f21688c3867188fc52b8299c35e880f4bf41385 | [
"BSD-3-Clause",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | sci-visus/OpenVisus | 198c6f81327a14645290ee331161c2c34b228e21 | 4b120b3d32a4785636b4fd8a30ffd1814e8d59c7 | refs/heads/master | 2023-07-19T17:14:04.565357 | 2023-07-07T15:08:56 | 2023-07-07T15:08:56 | 128,863,320 | 26 | 21 | NOASSERTION | 2023-09-08T13:15:41 | 2018-04-10T02:41:55 | C | UTF-8 | Python | false | false | 6,310 | py | brian.py | import os
import sys
from OpenVisus import *
from OpenVisus.gui import *
# Scripting Node to remove the white-sh (TO TRY)
"""
import numpy
input=Array.toNumPy(input)
R,G,B=SplitChannels(input)
A=ConvertToGrayScale([R,G,B])
# remove white-ish
A[A>245]=0
output=InterleaveChannels([R,G,B,A])
... |
1fb9bd86be5f9274f41abac1dc2af98a1d2daf7a | 47e5ad752748d42739aae3135bcea5c047ec4178 | /src/train.py | 1b4770fa6fa2af931e85534126a1be2a7522a9d9 | [] | no_license | xingjiliang/fuck-you | 588d89b24d2944c075b1490c3f22333557f7294f | 075578567a2d41f6636017299af194cc8143a500 | refs/heads/master | 2020-07-25T09:24:38.008030 | 2019-08-27T06:12:17 | 2019-08-27T06:12:17 | 201,259,658 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,110 | py | train.py | # coding=utf-8
"""
通过data_utils得到样本
训练模型
保存模型参数
通过使用make_initializable_iterator方便地切换数据集……
"""
import os
import time
from importlib import import_module
import numpy as np
import tensorflow as tf
from absl import app
from absl import flags
import data_utils
import config
FLAGS = flags.FLAGS
LOG = config.logging.getLog... |
67e071c9263a73e12c9f23945ceeb24c51d8d966 | cf5e07cac7561bc8b34430e61e97643abbb3d4e9 | /01-benson/challenges/nick/benson/benson_challenge_1.py | e22f73085bf54e4dffefd2cd5b249be3a39b204a | [
"MIT"
] | permissive | marcolunardi/GetData_Assignment | f6672d8b16fa45b51ebbaa2019973dcea1d8652f | 82528702e0d52ce6a5b9a81a4225aa5bd459b37c | refs/heads/master | 2016-09-06T07:57:04.103602 | 2015-04-30T13:10:52 | 2015-04-30T13:10:52 | 22,233,564 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 375 | py | benson_challenge_1.py | import csv
with open("turnstile_150404.txt", "r") as turn_data:
reader=csv.reader(turn_data)
my_hash={}
for row in reader:
key = tuple(row[0:4])
val = row[4:-1]
# check if the key, val exists
if key in my_hash:
my_hash[key].append( val )
else:
... |
47e2fbeb989aacb06a9866e03eeb3e1f4cadf9de | b682c1191c6e7833d3884a8f474279f8a013889e | /programming-challenges/mc821/09-13/modularEquations.py | 1318d54ad9d20e0f9ef54160714184ea37bba740 | [] | no_license | joaopmt/competitive-programming | 5969c9428918ba67768648211e5c5f8c6fce9c82 | 0bf8c9a9a852d674b368cf08833903f04b0ed2a8 | refs/heads/master | 2020-04-21T15:47:32.236011 | 2020-04-05T00:52:37 | 2020-04-05T00:52:37 | 169,679,947 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 403 | py | modularEquations.py | a, b = [int(x) for x in input().split()]
if a < b:
print(0)
elif a == b:
print("infinity")
else:
x = a-b
i = 1
ans = 0
while(i*i <= x):
if not x%i:
if x//i == i and i > b:
ans += 1
else:
if i > b:
ans += 1
... |
8f61f0a6ebe3dbf69b277d2e409b697a6a480904 | b27bb88e9d661993d207ce5b0e1f1873f6e76cb2 | /madrid/views.py | 910a4931830fc08fde93cfd364ed5c0f79df4b83 | [] | no_license | aliciapj/madrid_geodjango | 9d6b315e3187935ac33ffb21f4ee7816b6d94246 | f9dd91eef94fcce108027e930fb87e538d1a5eb3 | refs/heads/master | 2022-12-10T13:39:04.408557 | 2020-03-31T11:02:44 | 2020-03-31T11:02:44 | 130,117,919 | 1 | 1 | null | 2022-12-08T00:58:55 | 2018-04-18T20:24:58 | Python | UTF-8 | Python | false | false | 1,249 | py | views.py | from django.shortcuts import render
from madrid.models import District, TrafficTicket, Neighborhood
def stats_by_district(request):
districts = District.objects.all()
result = []
for district in districts:
traffic_ticket = TrafficTicket.objects.filter(geom__intersects=district.geom)
re... |
d89bc96706a096dc5f2098ffcc43c7c3a3bd8b99 | 348ff52245a741898d848f31cace909091f9062b | /src/server/taskDriver.py | 3d02f088fe651c9f8134cd832754aa0267ed3723 | [] | no_license | carwestsam/SkyCI | b3a7e1b5651c217825e679ab119d162014f355df | b6dd5f59f50cbf5bdee53d47298b0ee6cb109849 | refs/heads/master | 2020-03-22T10:43:28.290659 | 2018-08-10T02:14:16 | 2018-08-10T02:14:16 | 139,922,835 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,313 | py | taskDriver.py | import atexit
import pika
from models.Task import Task
import json
from logs import log
cbConn = pika.BlockingConnection(pika.ConnectionParameters(host='localhost'))
cbChannel = cbConn.channel()
cbChannel.queue_declare(queue='default')
def callback(ch, method, properties, body):
print("Front Received %r" % body)
... |
f34cb99ed406510e38a9b267593efaf351d07e29 | 22c32b5112bce20cc9a4ba0a62ff3d18ac211eb4 | /scratchpad.py | 8c8ee7a22d8ea1f965c82580baedfe952a433ed1 | [] | no_license | perryjd/dataStructuresPy | e89649c72514c3488c2b0cbc022354bbc5d9f624 | d3177ae08720b9d6cc1019bd0ecc4f4b011a384c | refs/heads/master | 2021-01-21T07:58:00.444325 | 2015-03-16T19:08:49 | 2015-03-16T19:08:49 | 32,346,450 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 29 | py | scratchpad.py | for i=0; i<10; i+=1:
print i |
7e03ace6d1561054a6740f36278022797c58aad5 | 03b5d185f2173134b8d24785d54d9b14422ce0de | /BK.py | 4d5141657856361eefae6ff717ae54725805a44d | [] | no_license | aravindsankar28/NLP | 536ad75163f594a045e124460c79bea89bbce476 | 29baa7bbea11dbf45800d6a24368c875ea75523c | refs/heads/master | 2016-09-05T23:39:30.825780 | 2015-02-10T15:30:08 | 2015-02-10T15:30:08 | 23,582,824 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 4,905 | py | BK.py | import time
def editDistance(s1, s2):
# This function is designed for Psyco
if s1 == s2: return 0 # this is fast in Python
if len(s1) > len(s2):
s1, s2 = s2, s1
r1 = range(len(s2) + 1)
r2 = [0] * len(r1)
i = 0
for c1 in s1:
r2[0] = i + 1
j = 0
for c2 in s2:
... |
a1369cfbebaef1901d45a382fdc3c6e0a37e5744 | b369cd0491e1dc6925c29aaab3fe6fae80fa4115 | /src/base_changer.py | ef5dfa0c229b7741ead4f1c5b596e0e4e58549d5 | [] | no_license | juampiludu/number_base_changer | c98b2ff666467704586409ce33ce775dd299dcf6 | 38d821112da3d108697ce9c72a1352211f8abba4 | refs/heads/master | 2023-06-06T17:46:58.312302 | 2021-07-03T20:05:05 | 2021-07-03T20:05:05 | 366,896,401 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,422 | py | base_changer.py | from .has_letter import has_letter
from .number_it import number_it, check_letter, check_in_b
from .text import *
def base_changer(a, b, c):
check_a_b = check_letter(a, b)
check_number = check_in_b(a, b)
if check_number == False:
error_msg(
"Error: The number you've entered contains ... |
2ad9ab0fd9afd9df1d465f1765b02580bcaeafa3 | 85a965a177506ddfa0c2311ccbae93e68cafc044 | /framework/yaml_reader.py | 6269a53719302ae3e797c0568c8ca17bb7ec5e1d | [] | no_license | zandrewitte/pi-fun | d3554f1a3afdb5037c006f384ffea38c8449a16c | e15410194b0d108d1bce71fac8036fbe1a933832 | refs/heads/master | 2020-12-25T15:08:56.670633 | 2016-09-15T10:43:41 | 2016-09-15T10:43:41 | 67,128,834 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 276 | py | yaml_reader.py | import yaml
def read_yaml(file_name):
try:
with open(file_name, 'r') as f:
doc = yaml.load(f)
return {key: value for key, value in doc.items() if value is not None}
except IOError as e:
print 'File: %s does not exist' % file_name
|
f3074d8e6d9629e9fd6ee22498adc33697d97631 | 34f0853d3e2e2bafadc2095bf96d2ab93d415023 | /test/calc.py | 96121a242bd62ee7b603c84007a9111fc5db39e3 | [] | no_license | 85hzc/python_opencv | 528441d42e26cb194f8c84d50bf8fc24e1deba23 | c7e6b927c21896a79add49e7537068892146b0e7 | refs/heads/master | 2020-07-05T01:21:31.891070 | 2019-11-07T03:39:31 | 2019-11-07T03:39:31 | 202,480,205 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 346 | py | calc.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import math
import cmath
def sqrt(x, y):
try:
y = math.sqrt(y)
print(y)
except ValueError:
y = cmath.sqrt(y)
print(y)
def add(x, y):
return print(x + y)
def subduction(x, y):
return print(x - y)
def multiplication(x, y):
... |
f8703303d17aac660dbf9ec278bf04a5a12871c6 | 2b9d5d6acc3709c8455646a5436c09f6a283794d | /workerKong.py | 6e9c49d92d905939dd9d355e73eb7d670190b1c6 | [] | no_license | n-miletic/DRS2019 | c9aaca074a5c0439c85794174bb38b76e4940079 | 263686070ee96320308ce8f48d15d26ac2849bc6 | refs/heads/master | 2020-09-19T17:42:17.725137 | 2020-01-17T20:53:14 | 2020-01-17T20:53:14 | 224,255,483 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 567 | py | workerKong.py | from worker import Worker
import multiprocessing as mp
class WorkerKong(Worker):
def __init__(self, pipe: mp.Pipe):
super().__init__()
self.pipe = pipe
def work(self):
self.pipe.send('go')
while True:
val = self.pipe.recv()
if val == 'end':
... |
e09a26a3175a049147ebe313b5cd6f62f965e59b | 2e38e1fc2ab50ebf89a570ad4ae195b174d804ea | /users/views.py | c676f1c073ffdb17d60754a4edfd17654895b2d3 | [] | no_license | coldwhiskeyman/library | dd4427a212a519755317c6205546447dd68de569 | 4c621a35955d7fb970a9cc25502175b36833c4c6 | refs/heads/master | 2023-03-06T22:08:51.891623 | 2021-02-20T10:42:27 | 2021-02-20T10:42:27 | 340,630,380 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 967 | py | views.py | from django.contrib.auth.forms import UserCreationForm
from django.contrib.auth.models import User
from django.contrib.auth.views import LoginView, LogoutView
from django.urls import reverse_lazy
from django.views.generic import CreateView
class UserLoginView(LoginView):
"""
Представление страницы авторизации... |
8b336c15cb112d15addaac98b49c2cc61c616814 | 03eb3f665c8c9830a6c06d359f3a7e998b781db9 | /scripts/test/hyriseBenchmarkJCCH_test.py | c2a27df7430bc16f99b02359f2075a71e714df29 | [
"MIT"
] | permissive | hyrise/hyrise | 25f8f396fcf3be2e4a4f7c3b432e3999ee0d6c60 | 46f13fa510aa7e8b232b3081ee1a25b7f0958e55 | refs/heads/master | 2023-09-01T10:35:56.802881 | 2023-08-25T07:18:08 | 2023-08-25T07:18:08 | 87,414,843 | 687 | 156 | MIT | 2023-09-14T21:17:51 | 2017-04-06T10:03:31 | C++ | UTF-8 | Python | false | false | 2,086 | py | hyriseBenchmarkJCCH_test.py | #!/usr/bin/env python3
from hyriseBenchmarkCore import close_benchmark, check_exit_status, initialize, run_benchmark
def main():
build_dir = initialize()
# Run JCC-H, validate its output using pexpect, and check if all queries were successfully verified with sqlite.
arguments = {}
arguments["--scale... |
5866abb6f618c8aa6c7ac8bc302d3212e90f33bc | 8fe6474f1fec58809fcdc1393ac4c4d0c28ccdef | /deepem/test/cv_utils.py | d0c18a0de8760212fee8b299cb976c7b609c4dfb | [
"MIT"
] | permissive | ZettaAI/DeepEM | 1aaabff7e7c7591669c13685ac6455480c44afce | 6b982b6986c2c0b61bb92fe0c977aef5fe759d8e | refs/heads/master | 2023-08-31T14:37:28.031360 | 2022-11-03T06:50:37 | 2022-11-03T06:50:37 | 249,042,114 | 0 | 0 | MIT | 2023-03-02T15:32:58 | 2020-03-21T19:02:49 | Python | UTF-8 | Python | false | false | 4,379 | py | cv_utils.py | import numpy as np
import cloudvolume as cv
from cloudvolume.lib import Vec, Bbox
from taskqueue import LocalTaskQueue
import igneous
from igneous.task_creation import create_downsampling_tasks
from deepem.utils import py_utils
def make_info(num_channels, layer_type, dtype, shape, resolution,
offset=(... |
01d041e60a18bc7342c4aec733070b1c4f49c3a7 | c10fb2d7208c6be3925367a2525b32b2f1aaa696 | /src/imitation/data/datasets.py | eb4ea7af02f5423d9d0d78250d4b2841ea727201 | [
"MIT"
] | permissive | zivzone/imitation | 8970bd12553b5e2342bd5f5ff428bee147fa0995 | c668cdaafceabac5249d65a7a4b7e516e4a6f220 | refs/heads/master | 2022-12-05T10:32:52.727532 | 2020-08-28T21:29:04 | 2020-08-28T21:29:04 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,504 | py | datasets.py | import abc
import dataclasses
from typing import Dict, Generic, Mapping, Optional, Tuple, Type, TypeVar
import numpy as np
from imitation.data import types
T = TypeVar("T")
class Dataset(abc.ABC, Generic[T]):
@abc.abstractmethod
def sample(self: "Dataset[T]", n_samples: int) -> T:
"""Return a batch... |
7bf5aa8be1b9bee33b3d15890cd1dd19171d5e99 | e8acb2881eb4009017e3f13646b5ee783a34bbdf | /tf/pred_10_weighted.py | a095786ea1c4cc1144aae3f458c3f1b49a11d1e6 | [
"MIT"
] | permissive | zxlzr/atec_back | a8097b49df5b261e6c4ba626f1d032d03dd74fc1 | dff0fd07fef1879ee6ad51b7907ee895ef308acb | refs/heads/master | 2020-04-19T21:27:12.213741 | 2019-02-06T07:34:30 | 2019-02-06T07:34:30 | 168,441,395 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,413 | py | pred_10_weighted.py | # !/usr/bin/env python
import sys
import os
#os.environ["CUDA_VISIBLE_DEVICES"] = "0"
import tensorflow as tf
import numpy as np
import lightgbm as lgb
from sklearn import metrics
import numpy as np
from dataset import Dataset
from train import FLAGS
FLAGS.model_dir = '../model/rcnn_50_cv/'
FLAGS.max_document_length =... |
a75c4ef3feaaad3532fdf30ece0d9e6a23288b7a | af5208c75b6fb519091f291396134b719ecfdad3 | /Comparison/main.py | 9bec5eb16b6fae1896e3f4c469e921c7bf0197da | [
"MIT"
] | permissive | Ikerlz/dcd | 6f6745754e10753548e989208d355c2c3369816e | 8f5c3bb15729060503c2f6a5def0ec98c33c2c37 | refs/heads/master | 2023-08-08T10:54:18.772395 | 2023-07-20T12:07:36 | 2023-07-20T12:07:36 | 279,934,955 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,240 | py | main.py | #!/usr/bin/env python
# -*- coding: UTF-8 -*-
'''
@Project ：dcd
@File ：main.py
@Author ：Iker Zhe
@Date ：2021/3/5 16:13
'''
from norm_based_method import *
from dcd_method import dcd_clustering
###############################################
# Pandas options
pd.options.display.max_columns = None
pd.options.dis... |
e47a1b41aa2e0c3651eb963511fea3a62af14ba9 | dee5a06cc36e8079d736dd6417f57b089e219d85 | /tasks/templates/tasks/control.py | abcfff4cb132b9d419e6f5450b2c876cea2ad64a | [] | no_license | MarinaFedorenko/TaskManager | 270e877d2060614aff93071b06cfa2b32bca5aab | a4421f216b312c70ff1a4a0b1b1203ffa941a9a0 | refs/heads/main | 2023-01-13T08:50:42.944522 | 2020-11-12T21:24:12 | 2020-11-12T21:24:12 | 312,398,999 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,694 | py | control.py | import datetime
today = datetime.datetime.now()
currentMonth = today.month
currentYear = today.year
print(today)
print(currentMonth)
print(currentYear)
#
# selectYear = document.getElementById("year")
# selectMonth = document.getElementById("month")
#
months = ["Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", ... |
ca93581e22993d1a248a68515f56d46c6675a552 | e15963ba9a7d85424cd0eb8c1baba2c4d0a0e2f5 | /lib/web/base.py | 5ee9981d3fbdf84ef270fc42804be43aec3aa230 | [
"BSD-3-Clause",
"BSD-2-Clause"
] | permissive | Juniper/YAPT | a4b42da819f360c15c71b1033c8b7641079f0be2 | b1a54998867c70352001415d5e4b70408480dab9 | refs/heads/master | 2023-08-14T01:41:14.430260 | 2019-06-11T09:34:46 | 2019-06-11T09:34:46 | 95,455,696 | 34 | 8 | NOASSERTION | 2021-09-23T23:21:17 | 2017-06-26T14:31:52 | Python | UTF-8 | Python | false | false | 9,484 | py | base.py | # DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER
# Copyright (c) 2018 Juniper Networks, Inc.
# All rights reserved.
# Use is subject to license terms.
#
# Author: cklewar
import json
import os
import random
import threading
import cherrypy
from cherrypy._cpserver import Server
from cherrypy.lib import a... |
bcae1d9ab58884b91a34f11b6ddb01ad09ac6602 | 890acbb4ee1f81f73917a7d84a8c896383b6014f | /Shyna_speech/Shyna_PocketsphinxTrainned.py | 1abe129c685fdca27d70f9b956c5e3c8df469462 | [] | no_license | Shivam623/Shyna623 | f0d12344279dfc943563f9ed80b60850652534d5 | 7d7a58c227f402c564b799d129d477c5b166e8e2 | refs/heads/master | 2020-03-26T01:33:22.829045 | 2019-04-21T22:54:32 | 2019-04-21T22:54:32 | 144,372,168 | 3 | 3 | null | null | null | null | UTF-8 | Python | false | false | 454 | py | Shyna_PocketsphinxTrainned.py | from pocketsphinx import LiveSpeech, get_model_path, Decoder
from os import path
model_path = get_model_path()
print (model_path)
config = Decoder.default_config()
config.set_string('-hmm', path.join(model_path, 'en-us'))
config.set_string('-lm', path.join(model_path, 'en-us.lm.bin'))
config.set_string('-dict', path.... |
821230f295076146bf7c90b5e011bab899c2fee7 | 40b329b3aa3bfa5709495893bf78410d3b1a3136 | /PESConstruction/BayesianNN/BNN_Theano_Lasagne_PyMC3/NNInput.py | 44b74a7c1327c7d09c278083e24e120df7d5b5fa | [] | no_license | simoneventuri/Spebus | 0878d7713d73193574ed70fbfdf3c6aea6cfaa08 | 6b826a9c9b3cb1b3ae721930cf5864f697ebf74c | refs/heads/master | 2022-12-14T09:41:14.090049 | 2020-08-14T23:37:20 | 2020-08-14T23:37:20 | 181,975,667 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,807 | py | NNInput.py | import theano.tensor as T
import pymc3
import numpy
import lasagne
from DiatPot_O2_UMN import V_O2_UMN
from DiatPot_N2_DS import V_N2_DS, V_N2_LeRoy
class NNInput(object):
TrainFlg = True
TryNNFlg = True
ReadIniParamsFlg = False
SaveInference = False
Machine = 'ENTROPY'
i... |
04ade510b4cce6ab129e7c9ecd19125d4145f4fb | aae3c6fccb2296e4da5bb10310f5dd6baba8b7de | /activitysim/benchmarking/reader.py | f1da72d70634a0c3260e89e1a42a78e4380714ed | [
"BSD-3-Clause"
] | permissive | ActivitySim/activitysim | 3d938e616452be76db1bb0c8a1212e12b9216823 | a8e755f96d0e32633a6d3657c4878e3b6a37e59a | refs/heads/main | 2023-08-08T16:02:06.275693 | 2023-05-09T13:08:23 | 2023-05-09T13:08:23 | 20,981,950 | 118 | 89 | BSD-3-Clause | 2023-07-25T14:07:16 | 2014-06-18T23:57:40 | Jupyter Notebook | UTF-8 | Python | false | false | 651 | py | reader.py | import pandas as pd
import yaml
def read_results(json_file):
"""
Read benchmarking results from a single commit on a single machine.
Parameters
----------
json_file : str
Path to the json file containing the target results.
Returns
-------
pandas.DataFrame
"""
out_dat... |
201025ef15fcab36a56dbb05abb38106dcc5c4fc | 6ed6ec8ad745826702e274f223514d02f41995eb | /tools/parsers/corpora_sentiment/negation.py | 4b55ec10a282976674763ed8e64cce70a7a7673f | [] | no_license | polakluk/supreme-court-analysis | 69b374062ce92716db48787e4336f076ca89ceb2 | 505e4682261a93316482bdc4a6418955d0ee5327 | refs/heads/master | 2020-04-11T00:45:54.581979 | 2017-01-03T22:51:09 | 2017-01-03T22:51:09 | 52,023,631 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,272 | py | negation.py | from tools.parsers import basecorpus
import pandas as pd
import numpy as np
# this class reads list of negation words and transforms them into a proper CSV with their upper case representation
class Negation(basecorpus.BaseCorpus):
# constructor
def __init__(self):
basecorpus.BaseCorpus.__init__(self)
... |