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9d9f309fdaec76e01eb90543f1f5080dbde7cba5 | a8b16f1c88c184e1154405a3d0561e4a9e1d83c7 | /HW 1/Identification/dist_module.py | 8982c9dfa2466d6d4244508f01ba66a825450e56 | [] | no_license | dan-trappolini/ADVANCE-MACHINE-LEARNING | 32b8c6798318cffc6728a16c0555e0f742956f43 | 6cd90f131618d74c22cc5955e196bb3888d424f1 | refs/heads/main | 2023-01-13T02:56:41.763188 | 2020-11-19T22:27:22 | 2020-11-19T22:27:22 | 308,064,457 | 0 | 2 | null | null | null | null | UTF-8 | Python | false | false | 2,413 | py | dist_module.py | import numpy as np
import math
# Compute the intersection distance between histograms x and y
# Return 1 - hist_intersection, so smaller values correspond to more similar histograms
# Check that the distance range in [0,1]
def dist_intersect(x,y):
# First part of the formula is sum(minimum(x_i, y_i)) for eac... |
982e648c257c995e993973b5c85dff2ab9a9dc54 | 9384e00e1d701c477160ea96f859429b918c84dc | /leetcode/142_环形链表2.py | 18b0ed0e3ee8a43dce8e0cd5d2a12724939150c1 | [] | no_license | tenqaz/crazy_arithmetic | dfc79b95f35af0f9e449f53e7c7bfac3cb6c080a | c0dd577481b46129d950354d567d332a4d091137 | refs/heads/master | 2023-07-20T17:25:57.014785 | 2023-07-16T17:07:55 | 2023-07-16T17:07:55 | 225,174,173 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,082 | py | 142_环形链表2.py | # -*- coding: utf-8 -*-
"""
@author: Jim
@project: crazy_arithmetic
@time: 2019/12/5 10:23
@desc:
获取探测环相交节点
"""
from __future__ import annotations
class ListNode(object):
"""
链表节点
"""
def __init__(self, x):
self.val = x
self.next = None
class Solution(object):
def de... |
935351bd51cf3d78d8e4a6d23e4a88ab585f1252 | 972638bb14075e6050a0d49e47581ba796b53a7d | /dolfyn/rotate/awac.py | efb5fa98b5358c079966168c6453d933aa647ae2 | [
"Apache-2.0"
] | permissive | MRE-Code-Hub/dolfyn | 080b39ac0f59c052c54d7bb634af86822ec756cd | d807d0188f9e5f11845bc3f9efc7d154f729850a | refs/heads/master | 2023-05-05T05:22:26.915404 | 2021-04-29T18:41:06 | 2021-04-29T18:41:06 | 253,632,814 | 0 | 0 | NOASSERTION | 2021-11-10T08:50:51 | 2020-04-06T22:46:18 | Python | UTF-8 | Python | false | false | 75 | py | awac.py | from .vector import inst2earth, earth2principal
from .rdi import beam2inst
|
89948d90de977251562ad9a3c8aecb1a3ef2b7d2 | c293cd595a8ea624975915045d82cf5e666a582a | /dipole_surface_roughness/find_surf_atoms.py | 4e8df621e6962ca42397d05a0b96c490eb738e47 | [] | no_license | scmartin/python_utilities | 0a40efcc2699889ac7347e281c77bd9e3f8a00f3 | 3001af7c74dcf63cf92f645df0cb43b9d809f1d8 | refs/heads/master | 2022-09-19T12:17:49.717371 | 2022-09-18T18:55:44 | 2022-09-18T18:55:44 | 226,124,983 | 0 | 0 | null | 2021-04-28T21:14:18 | 2019-12-05T14:49:40 | Python | UTF-8 | Python | false | false | 3,071 | py | find_surf_atoms.py | import numpy as np
import freud
import lammps_reader as lammps
import argparse
from scipy.spatial import Delaunay, distance
import matplotlib.pyplot as plt
parser = argparse.ArgumentParser(description="Analyze a LAMMPS snapshot to find surface atoms.")
parser.add_argument('-f','--file',type=str, required=True)
parser.... |
c3c28b0f4ac013c3b5e3811dd9322941941e65af | 1cd8a33f4b8209e857b59ff1175f769fc89fb7d2 | /blog/models.py | 0c6089f4690a5274c66a3f47aafe26e6fe1a0a85 | [] | no_license | MahfuzKhandaker/personal_website | a9543037fae1e2777ad611c53af986e7b5d7949b | daba056ce52cd3126e0e33176f5c06abc99e443c | refs/heads/master | 2022-12-21T06:32:03.631728 | 2020-06-13T17:03:35 | 2020-06-13T17:03:35 | 250,972,087 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,955 | py | models.py | from django.db import models
from django.contrib.contenttypes.fields import GenericForeignKey
from django.contrib.contenttypes.models import ContentType
from django.conf import settings
from django.urls import reverse
from django.db.models.signals import pre_save
from blog.utils import get_read_time
from django.... |
3a8f0352a59ea73951d976f02fb0fa57660f4900 | eb87c8b1ce8591d207643d3924b7939228f1a4fe | /conformance_suite/test_typed_swap_nested_2.py | d5c61d25ccd9d547e1507f0659f7772a59d3f92e | [] | no_license | brownplt/insta-model | 06543b43dde89913c219d476ced0f51a439add7b | 85e2c794ec4b1befa19ecb85f2c8d2509ec8cf42 | refs/heads/main | 2023-08-30T19:06:58.083150 | 2023-05-03T18:53:58 | 2023-05-10T22:29:18 | 387,500,638 | 5 | 0 | null | 2022-04-23T23:06:52 | 2021-07-19T14:53:09 | Racket | UTF-8 | Python | false | false | 511 | py | test_typed_swap_nested_2.py | # test_typed_swap_nested_2.py
# This should pass.
def test(a):
x: int
y: str
z: str
((x, y), z) = (1, a), 'foo'
# def test_typed_swap_nested_2(self):
# codestr = """
# def test(a):
# x: int
# y: str
# z: str
# ((x, y), z) = (1, a), 'foo'
# ... |
d536b311912d78ab30677b2303485c259cdef1c1 | 86e0f12d789a23768fb21a5c6f5540ac351fadcb | /unused/misc/benchmark/gpuVScpu.py | 4b9076ad769d897897bf70caa04751e458df7943 | [] | no_license | byq-luo/bosch | 3b83d9cf00c6f87e81d2a20ddd404cf4ea3b712d | c5e63e40e050ce2fa1eb23c3a8beff7a69b36c89 | refs/heads/master | 2022-04-26T03:31:02.197892 | 2020-04-23T01:37:21 | 2020-04-23T01:37:21 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 734 | py | gpuVScpu.py | from tqdm import tqdm
import time
from Video import Video
#### How much faster is gpu processing vs cpu processing? ####
# Times to process an 11 second clip from the dataset
# Detectron | YOLO
# GPU 01:45 | 00:22
# CPU 1:00:00 | 12:00
#
# in terms of fps reported by tqmd
# Detectron | YOLO
# GPU ... |
157fae56472c03322527f8d2e3b62ce53dec8cc3 | 005b9d67aa14a374d03897f83282d2dcbb37f828 | /pycon/simple/exceptions.py | ee9cd9e9120cbe919211dc1dfa53e20844396e2f | [] | no_license | devangmehta123/pycon-uk-2019 | 6e1e7da419ba3b8ec2518889ceea607cddb419ec | 526dbbfeee321fbcaca63f501cbc78a992ee3af6 | refs/heads/master | 2020-07-02T19:21:30.345746 | 2019-09-14T09:11:13 | 2019-09-14T09:11:13 | 201,636,416 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,690 | py | exceptions.py | from rest_framework import exceptions
class APIGeneralException(exceptions.APIException):
pass
class APIValidationException(exceptions.APIException):
serializer = None
valid = False
class APIException(exceptions.APIException):
"""
General exception for our API
"""
error_code = None
... |
5e6700f0024a72eb59b51b043b3c924ce93f76fd | e78427d46943e746cb56f9675112319ecf58d0f0 | /heap.py | 8f64a41b3c048d36943c170e085ebc96393ab500 | [] | no_license | Jiongxiao/Algorithm_Practice | fbc40657defc5130f6eb8803dfb5ff20a4d216f4 | 36b1a0992116863707741ebdb7af987119518587 | refs/heads/master | 2021-05-04T10:14:50.497482 | 2016-08-15T13:20:09 | 2016-08-15T13:20:09 | 49,481,558 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,550 | py | heap.py | class PriorityQueue:
"""Heap-based priority queue implementation."""
def __init__(self):
"""initially empty priority queue."""
self.queue=[None]
def append(self,key):
if key is None:
raise ValueError('Cannot insert None in the queue')
i=self.size()
... |
fee6ac729ed478abf9cd1a96f620242504b9b8ff | bcf3898719f526a8de92974ff8081f5354236217 | /folder_size.py | 1e8b3438e427f56250e6f21a3c31cfe5a667e4ef | [] | no_license | Cosine42/Folder-Size-Calculator | fb1ae4067cb50b0fa81988dbc20d40262bec9b34 | bbff212bfb956f9fe463d0c821fe5b24627799be | refs/heads/master | 2022-07-14T22:46:06.792476 | 2020-05-17T08:16:38 | 2020-05-17T08:16:38 | 264,613,476 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 284 | py | folder_size.py | import os
# folder whose size is to be calculated
print("Enter folder path")
path = os.path.abspath(input())
total=0
for folder, subfolders, files in os.walk(path):
for file in files:
total += os.stat(os.path.join( folder,file )).st_size
print(str(total)+' bytes')
|
0fce31e26d028b14a77fae8cd5336f63fd2d2766 | 7da5cb2f473e2c289e12770cc55186791e419554 | /student/models.py | 2ca117764b8b2c2b5dcf4699197d4698df166f97 | [] | no_license | edithjepletingketer/djangoStudent | 8b7f33967f8f2c76636bd5d2105781fccf520d6a | fe060f7e0506aa53d2719556fd48316fc8a94e0c | refs/heads/master | 2020-05-28T00:48:31.245349 | 2019-05-27T12:17:13 | 2019-05-27T12:17:13 | 188,835,705 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 537 | py | models.py | from django.db import models
# Create your models here.
class Students(models.Model):
first_name=models.CharField(max_length=50)
last_name=models.CharField(max_length=50)
date_of_birth=models.DateField()
registeration_number=models.CharField(max_length=50)
place_of_residence=models.CharField(max_length=50... |
a9e0516b39009267e6d8d6458dc13fb65a687284 | 74b416e92a3da8bc7308ab2cc4b20e7b8a006e58 | /src/spotify/model/song.py | 81345d60a83dd1728522599d545ab720cf6e86ad | [
"MIT"
] | permissive | awersching/spotify-backup | 2dabdf6ceea599983cae2817b1c89e61b9268024 | ddf24092f66e1040971baa08062836e21f9546b3 | refs/heads/master | 2021-06-05T19:42:51.453532 | 2019-10-22T07:53:25 | 2019-10-22T07:53:25 | 149,810,564 | 1 | 0 | MIT | 2021-06-01T23:08:49 | 2018-09-21T19:48:19 | Python | UTF-8 | Python | false | false | 417 | py | song.py | class Song:
def __init__(self, json):
# playlist tracks not queryable over API
if not json:
raise LookupError
self.name = json['name']
self.artists = list(map(lambda artist: artist['name'], json['artists']))
self.album = json['album']['name']
def __str__(se... |
f559ccac40d5ba621a39ce32da851abd711b223c | 3d95af817d4cb3390dac41efd9e1173732394f34 | /zdo2021/main.py | 4a15b359ff7103a32d42ef15000756deba6e93ca | [
"MIT"
] | permissive | JiriVales/zdo2021-vales | 04693fdcdb8585adac1be8ad7043f41d90c65ef7 | 8cf22097d926b42814b4d366dfe49f1de70093a7 | refs/heads/main | 2023-05-28T14:57:31.962029 | 2021-06-09T12:48:27 | 2021-06-09T12:48:27 | 371,068,098 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,489 | py | main.py | import numpy as np
import skimage
from skimage import data
from skimage.morphology import label
from skimage.color import rgb2gray
from skimage import data
from skimage.filters import gaussian
from skimage.segmentation import active_contour
import skimage.segmentation
import scipy
import numpy as np
import scipy
from s... |
b583faf45be5cb7da6202e13def5f68a2f0f4ef3 | ffbb69f3b623886df0c38455d4ae4759beeea107 | /test.py | a4365dc5940d940a4da709bf55e648360cc552b3 | [] | no_license | adam-weiler/GA-OOP-Class-Methods-and-Class-Variables-Book-Lending | 2b874f50f773359b2d71b1b848a238cffbba0a13 | d346f15c5e58adcac08ce4887e5e15dc4e0a253b | refs/heads/master | 2020-06-21T13:21:19.718854 | 2019-07-21T21:20:57 | 2019-07-21T21:20:57 | 197,464,348 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,924 | py | test.py | from Book import *
print('Adding new books to the library:')
sister_outsider = Book.create('Sister Outsider', 'Audre Lorde', '9781515905431', 'Nonfiction')
aint_i = Book.create('Ain\'t I a Woman?', 'Bell Hooks', '9780896081307', 'Nonfiction')
if_they_come = Book.create('If They Come in the Morning', 'Angela Y. Davis',... |
27bbc44e5b76aee7cae721f7ff5506d9a0d33a39 | bdec4b918f22353d35c5ba8c70d1c4d0c2fd9923 | /models/basic_model.py | 7c3de700c00da647e0aa440548db441c214e27f0 | [] | no_license | ctorresmx/tensorflow-mnist-v2 | 82ca5672d9a45b1c07c2a8ae2a6477e122180710 | c18f2be777ff6d9e07a2e6d6a92bd3de3b40f9eb | refs/heads/master | 2021-05-06T18:39:31.355131 | 2017-12-10T20:35:27 | 2017-12-10T20:35:27 | 112,035,373 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 346 | py | basic_model.py | import tensorflow as tf
class BasicModel:
def infer(self, input, train):
raise NotImplementedError()
def cost(self, logits, labels):
raise NotImplementedError()
def optimize(self, cost, learning_rate):
raise NotImplementedError()
def evaluate(self, logits, labels):
ra... |
df3a16f3b85d0d363fade7724463c8a7577e7a47 | 8f50c262f89d3dc4f15f2f67eb76e686b8f808f5 | /Trigger/TrigHypothesis/TrigHLTJetHypo/python/testChainDictMaker.py | b60f1b83b9fea7c282242895b9822829884758ff | [
"Apache-2.0"
] | permissive | strigazi/athena | 2d099e6aab4a94ab8b636ae681736da4e13ac5c9 | 354f92551294f7be678aebcd7b9d67d2c4448176 | refs/heads/master | 2022-12-09T02:05:30.632208 | 2020-09-03T14:03:18 | 2020-09-03T14:03:18 | 292,587,480 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,510 | py | testChainDictMaker.py | # Copyright (C) 2002-2020 CERN for the benefit of the ATLAS collaboration
"""Make chain dicts for testing jet hypo config modules"""
from __future__ import print_function
from TriggerMenuMT.HLTMenuConfig.Menu.Physics_pp_run3_v1 import (
SingleJetGroup,
MultiJetGroup)
from TriggerMenuMT.HLTMenuConfig.... |
b22e10d9823f8557c6fd14af1face1ea5e67bea6 | 31f1a589c4e7ae63c2a555f08c24422b7a8cb1a5 | /my_site/Demo/wdtest.py | eb76d508e4f3bf2e31ba87e3b3fd7b8909cda551 | [] | no_license | CaramelYo/SentimentAnalysis | 455f0c1a6199e2cd4954135bc8d12908a3188e14 | 93f15d5ac61e6d80fc882b4695b607d6d9528a82 | refs/heads/master | 2021-01-04T02:42:16.182510 | 2017-01-17T04:29:05 | 2017-01-17T04:29:05 | 76,097,368 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 108 | py | wdtest.py |
import wdcloud as wd
wd.word_cloud(q = 'Trump', number = 1000, since = '2017-01-13', until = '2017-01-14') |
1861e1ed166f7f6d31c4b3a6169e46413636c1b5 | 9433ec7afbb22998f3e74be5f8f8ddbc2d98d6e8 | /client.py | 8cea1779bebd068f94f69f1b88fd69528ae41e79 | [] | no_license | escs34/ml_client_cluster | 2a7de1313b84db4f2de8dd2ee3698b957e8e0c1b | 42cc330ff2ca8140682d3b3b17d6780a23c923dc | refs/heads/main | 2023-03-18T05:40:59.752301 | 2021-03-17T04:53:51 | 2021-03-17T04:53:51 | 340,218,620 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,555 | py | client.py | #server : ec2-cluster
from socket import *
import numpy as np
import json
import time
import ast
port = 9999
#global serverSock
serverSock = socket(AF_INET, SOCK_STREAM)
#for port already used error
serverSock.setsockopt(SOL_SOCKET, SO_REUSEADDR, 1)
serverSock.bind(('0.0.0.0', port)) #(host, port)
serverSock.... |
2493a1b94935aa2e64fd33e5f61daab458c551fc | 5f309cf8d0dda65cbe76f79f78cedddd548e1130 | /lambda_functions/v1/tests/other/test_helpers.py | e11e3b0c997348a119b859679d575e3b20e059ef | [] | no_license | uk-gov-mirror/ministryofjustice.opg-data-lpa-codes | 70b5d9d6149f5d143a666bd732ad232909685689 | 4c833b0dd1f4c68834d3d416e9d59f334ca7296f | refs/heads/master | 2023-04-09T07:43:55.800778 | 2021-03-10T11:41:14 | 2021-03-10T11:41:14 | 356,784,391 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,262 | py | test_helpers.py | from lambda_functions.v1.functions.lpa_codes.app.api.helpers import (
date_formatter,
calculate_expiry_date,
custom_logger,
)
import datetime
def test_date_formatter():
test_date = datetime.datetime(
year=2020,
month=5,
day=26,
hour=10,
minute=0,
second=... |
e67accfbed82f2df3465eedc611df732b34dd26c | 8b4f8f67b3836ec7ca71342d37cc210e117ce725 | /ray_tune.py | ade0158f223ac970f0dad5d19a492f84886413cb | [] | no_license | xiaohanhan1019/CAN | b82328c2860e651e123fb5595d1b90fbcdc01855 | cec46c04a14c65c292c9f4a2d7b4d2650a3c77b0 | refs/heads/master | 2023-06-06T02:22:02.501676 | 2021-06-28T06:25:10 | 2021-06-28T06:25:10 | 380,927,801 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,401 | py | ray_tune.py | from ray import tune
from ray.tune.schedulers import ASHAScheduler
from ray.tune import CLIReporter
import ray
import torch
from utils.path import ROOT_DIR
from utils.tune_configs import get_tune_config
from trainer import trainer
import os
def get_metric_columns(metrics):
metric_columns = []
for k in metr... |
5216e91889e6e00f8aed1b3ad0f1af35544e3a24 | c2af1cecf1150ccbe4faddb39bb1906aab5c5859 | /eyes.py | 2a8e752b5cc921bbdeb71561d0bae5a2acaf322a | [] | no_license | MAINAK007-YO/HEALTHY-PROGRAMMER | 5f2ae99724d79820f92412853620a17fdc7c0093 | c5677332d92a6eb318ef2c6dc6620604e88a1dae | refs/heads/main | 2023-04-01T22:53:36.973274 | 2021-04-09T16:03:28 | 2021-04-09T16:03:28 | 356,326,154 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 346 | py | eyes.py | from gtts import gTTS
from playsound import playsound
def play_audio(play_audio):
playsound(play_audio)
def convert_to_audio(text):
my_audio=gTTS(text)
my_audio.save('hello.mp3')
play_audio('hello.mp3')
convert_to_audio("hey mainak now this is the time to take a eye exercise break, hurry up ma... |
5066053729c4bebe9b88c0bc9c2e47934749c789 | e71833fb4bbf157e05e761233fcbf31673b8e465 | /datxchain/tutorials/datx-bios-tutorial/delete_account.py | ce6f577a5297ae03ea19228b108eaea9d4f86492 | [
"MIT"
] | permissive | DATx-Protocol/DATx | 0cf7f34ea8f2e7879d4aa83151b0c3a6d8612975 | b2bc2b45d584036669900bd1728ec10701113d66 | refs/heads/master | 2021-06-04T19:09:13.279652 | 2019-01-05T08:31:47 | 2019-01-05T08:31:47 | 129,366,622 | 11 | 5 | null | 2018-11-09T13:53:12 | 2018-04-13T07:37:09 | C++ | UTF-8 | Python | false | false | 208 | py | delete_account.py | import json
with open('accounts.json','r') as f:
a = json.load(f)
del a['users'][10:] # 4
del a['producers'][5:] # 5
with open('new_accounts.json','w') as f:
json.dump(a,f)
|
b99224a9d00639fe96f1f1f47723c30a9e33321d | 2dbd0f8cfb74656b10886d4feb266d957c35a8ed | /Gun_5/ornek_sayiyi_yaziya_cevir_2.py | a0d7c82df481cc9685580e61916397e10196fe4d | [] | no_license | kadirturan0/PythonKampi | ae38843e3d128796398717c841f86d0f1dd4ea6a | b44105d6d95c5a0b6117311022db49db7893d99b | refs/heads/master | 2020-03-23T15:04:29.233145 | 2018-08-03T16:05:41 | 2018-08-03T16:05:41 | 141,720,646 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 482 | py | ornek_sayiyi_yaziya_cevir_2.py |
birler = ["sıfır","bir","iki","üç","dört","beş","altı","yedi","sekiz","dokuz"]
onlar = ["on","yirmi","otuz","kırk","elli","altmış","yetmiş","seksen","doksan"]
sayi = "123"
sayi = sayi[::-1]
okunus = []
okunus.append(birler[int(sayi[0])])
if len(sayi) >= 2:
okunus.append(onlar[int(sayi[1])])
if len(sayi) >= 3:
... |
8b74e109425422e503265dade800c8c8ee0963e4 | 9aaed9124be9e544ca0b7d5626caddd54652c126 | /pymunk_scripts/segment.py | eceaeac14f4c257d3709fa41ce2e1147016e8c01 | [] | no_license | victhepythonista/pygame_n_pymunk | eb9fcd787d7e7af3f3d4ee33ea8a602b023bf2b0 | c33fdb8c798fd69985019a92fa73e069b6427d03 | refs/heads/main | 2023-04-30T20:56:02.644518 | 2021-04-27T20:53:40 | 2021-04-27T20:53:40 | 349,515,247 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 82 | py | segment.py |
import pymunk
class MovingSegment:
def __init__(self):
|
e5becd4e42b58a66fced0bd99ad8e596f454de89 | f31ce25d68f1d63a0443d0d5cb3d91ef189477e5 | /main.py | 8c656dbfa24978afb9d9d9ec28c963ef50f5f682 | [] | no_license | pierresegonne/funky-attractors | 1a767d1e1d31ace2f30d11d0d8b36ecca264b633 | ff41e09df46aeead4cfb61cd75734df577cb2eca | refs/heads/main | 2023-08-26T23:46:20.889528 | 2021-11-06T23:20:20 | 2021-11-06T23:20:20 | 345,453,827 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 2,521 | py | main.py | import argparse
from warnings import warn
import numpy as np
import pandas as pd
from attractors import Attractors, trajectory_steps
from plot import plot_2d_attractor, plot_3d_attractor
def main(attractor, args: argparse.Namespace) -> None:
assert args.attractor in [a.value.name for a in Attractors]
# Gene... |
2fdac88430608c70095e13230c50f2a2c244ec5e | db12b990924703cd74748d8585cd9c11fafa6746 | /h2o-py/tests/testdir_misc/pyunit_factoring.py | b2a1bb044109803d131262857f2cf8b4594d3fa9 | [
"Apache-2.0"
] | permissive | h2oai/h2o-3 | 919019a8f297eec676011a9cfd2cc2d97891ce14 | d817ab90c8c47f6787604a0b9639b66234158228 | refs/heads/master | 2023-08-17T18:50:17.732191 | 2023-08-17T16:44:42 | 2023-08-17T16:44:42 | 17,371,412 | 6,872 | 2,345 | Apache-2.0 | 2023-09-14T18:05:40 | 2014-03-03T16:08:07 | Jupyter Notebook | UTF-8 | Python | false | false | 2,221 | py | pyunit_factoring.py | from builtins import zip
import sys
sys.path.insert(1,"../../")
import h2o
from tests import pyunit_utils
from h2o import H2OFrame
from h2o.exceptions import H2OTypeError, H2OValueError
def compare_frames(expected, actual):
assert actual.shape == expected.shape
assert actual.columns == expected.columns, "Colum... |
c5b012f687c3bb2180142b44c52b74e69d12750e | 74f53222dcbbd183b870ee00bfc565d5305a686d | /Project_Euler_006/Project_Euler_6.py | 955797cdf4743d8a22f354924cbc71c0efb757ef | [] | no_license | Obj-V/Project-Euler | 6c1afafab3c9d5dd772eb3298095750ddd68d139 | eaed73ec4c82ec672ee134c763d910f6796aaad8 | refs/heads/master | 2021-06-02T09:34:36.985515 | 2016-08-21T04:17:04 | 2016-08-21T04:17:04 | 44,230,384 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 773 | py | Project_Euler_6.py | #Project_Euler_6.py
#Virata Yindeeyoungyeon
"""
The sum of the squares of the first ten natural numbers is,
12 + 22 + ... + 102 = 385
The square of the sum of the first ten natural numbers is,
(1 + 2 + ... + 10)2 = 552 = 3025
Hence the difference between the sum of the squares of the first ten natural numbers and th... |
0265b0fcc8f296b2260e5bd80afa4e70f742bacd | 6e7419db51c9240e26e84c3d7d58f8565ac52f82 | /GenBankToLib/genbank.py | 95369e81d3d5e9f33d4873423fae812b32e72512 | [
"MIT"
] | permissive | linsalrob/genbank_to | 95f8f0fb12e8860594a25f8c305a09f89fe4a269 | fb951ef922e907bc0b9485d3f3cdd8786e23db3d | refs/heads/main | 2023-08-04T02:08:27.740852 | 2023-07-22T10:48:55 | 2023-07-22T10:48:55 | 481,464,683 | 6 | 1 | null | null | null | null | UTF-8 | Python | false | false | 13,196 | py | genbank.py | """
Read a genbank file and do things with it!
"""
from typing import Any
import sys
import re
import binascii
import gzip
from Bio import SeqIO
from BCBio import GFF # bcbio-gff package
import pandas as pd
from io import StringIO
import logging
__author__ = 'Rob Edwards'
__copyright__ = 'Copyright 2... |
d379b00f162720f1e691e5247c6b48e8f89f6e39 | 67a9e9c86a233d101efa9f2b786f2ebad881e92a | /interpolate.py | 3f2efa9d6febc2d4f864718d0421698f3bb3c38a | [] | no_license | phamanhtai0410/Interpolating_Python | 1aaeb2c35b220aaabc5a1c44d47fd56dbf2c46b7 | a01d58616c5f0586c74960c8c2bc7c91b452fd86 | refs/heads/master | 2022-11-23T17:22:11.658564 | 2020-07-28T17:04:08 | 2020-07-28T17:04:08 | 282,849,293 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,904 | py | interpolate.py | import numpy as np
import math
import time
# import tkinter as tk
class coordinates_3D:
def __init__(self, x, y, z):
self.x = x
self.y = y
self.z = z
# def __del__(self):
# del self.x, self.y, self.z
class coordinates_2D:
def __init__(self, x, y):
self.x = x
self.y = y
# def __del__... |
ced0cc0509d44c56540526114607b424b5807b50 | 6ce29dae54a967f080a1858110ad52bd2003aeb3 | /brainImaging/mri/fmri/qc/mriqc/compile_mriqc_outputs.py | ce3570581bcf0e63cd589e6fe61842be28bf2462 | [] | no_license | daelsaid/scsnlScripts | d9299cd175ca874c17935a3bfcd90cd3264c05e4 | 026634e00f3643740e9153fb93797785301b4ccb | refs/heads/master | 2020-05-02T22:52:21.780069 | 2019-04-29T23:29:37 | 2019-04-29T23:29:37 | 178,264,889 | 0 | 0 | null | 2019-03-28T18:55:44 | 2019-03-28T18:55:44 | null | UTF-8 | Python | false | false | 3,196 | py | compile_mriqc_outputs.py | '''
This script takes as input the path to a folder full of html reports outputed from mriqc. It pulls all the quantitative data
from those reports and compiles them into a csv "compiled_mriqc_data.csv" which it places in the same fodler as the report.
To Run:
source activate
python compile_mriqc_outputs.py /full/path... |
f5ba2e60460d78f47a58ac2e954d919805cd7782 | 2c296f525308ee2f7e1205b6b7eb392c53bbc14d | /pyamg/relaxation/utils.py | 2352cc7329099e9572c047c74b82c77b39831369 | [
"MIT"
] | permissive | pyamg/pyamg | 939f2b73153518f482401c1b2363e1abed880b4d | 4f604ef7d7765dc8c20f643650bf60bcc3c7207c | refs/heads/main | 2023-09-01T07:10:42.995125 | 2023-07-18T13:35:08 | 2023-07-18T13:47:34 | 10,866,320 | 466 | 125 | MIT | 2023-07-18T13:47:35 | 2013-06-22T14:24:24 | Python | UTF-8 | Python | false | false | 2,669 | py | utils.py | """Relaxation-centric utilities."""
import numpy as np
from scipy.sparse.linalg import LinearOperator
from ..multilevel import MultilevelSolver
from .. import relaxation
def relaxation_as_linear_operator(method, A, b):
"""Create a linear operator that applies a relaxation method to a right-hand-side.
Parame... |
73e35df76f19b20fc24fc1dc3a7e16f234a015bf | 640e8cc5ee98bbd7d383ddeb8a523afcfe64d731 | /extract.py | c54075a7306f2267ec21fa0a538443276f19abb5 | [
"MIT"
] | permissive | learningequality/sushi-chef-better-world-ed | 9fa59096ba48d66399ea90c576350a23f74314cb | dd2757324b5dd965910409fb85f7ab87a947a975 | refs/heads/master | 2022-04-09T22:17:16.916014 | 2020-03-25T13:53:38 | 2020-03-25T13:53:38 | 105,912,729 | 1 | 3 | MIT | 2019-02-22T21:50:36 | 2017-10-05T16:19:16 | Python | UTF-8 | Python | false | false | 3,167 | py | extract.py | #!/usr/bin/env python
import csv
import pickle
import os.path
from googleapiclient.discovery import build
from google_auth_oauthlib.flow import InstalledAppFlow
from google.auth.transport.requests import Request
# Creds
CLIENT_SECRET_FILE = 'credentials/client_secret.json' # server application -- this will request ... |
8ca00e22a89a3b9086a567b847fded82208eb783 | 8c1e65850d715bd49de8799f38e9730b942d5752 | /pyiso/ercot.py | 446e898cba8844efefcab67f87e3ebfbfcc436a8 | [
"Apache-2.0"
] | permissive | egeriicw/pyiso | 9198c71538ee131184ff9847a3b6b618f46be5f9 | ca88573f966e21cabdb01302ba2f1370b3cb2660 | refs/heads/master | 2021-01-16T21:13:04.758729 | 2014-07-04T21:39:00 | 2014-07-04T21:39:00 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,952 | py | ercot.py | from datetime import timedelta
import copy
from bs4 import BeautifulSoup
from pyiso.base import BaseClient
class ERCOTClient(BaseClient):
NAME = 'ERCOT'
base_report_url = 'http://mis.ercot.com'
report_type_ids = {
'wind_5min': '13071',
'wind_hrly': '13028',
'gen_hrly':... |
153644e7792a6915f98a7d53266e69337e324934 | e6ea2c3dda3e5f8f2e4a279a7c8d27c41b71bad2 | /unseal/vault/__main__.py | 2b5ba77a5a3e6518d840077c2b016ae1e7f57054 | [] | no_license | bbrfkr/docker-vault | 0b6ee053880813ae36d677d50254cec6004c13b1 | d8d83f77be6ebd64bf6104451d8ab112332aabae | refs/heads/master | 2022-04-17T06:12:39.063814 | 2020-04-19T08:23:42 | 2020-04-19T08:23:42 | 256,948,801 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 77 | py | __main__.py | from vault.init import init
from vault.unseal import unseal
init()
unseal()
|
71d736dda3766cea7b53a503a8023a9b7f79bb90 | 4461f05a695ee9de6144022541ad824be93655fb | /IID/reflectance_filtering/networks/networks.py | 9f7f841084add953b49033a1d8bcd8aec2659959 | [] | no_license | youngminpark2559/ml_cv_p | baeff7b8f6bab1ef4d32477fbc4c469c9e34e165 | 98ecf02eb34021483ea81a18d560d6c2f537fbe9 | refs/heads/master | 2020-03-30T15:48:14.425430 | 2019-06-18T11:54:46 | 2019-06-18T11:54:46 | 151,379,682 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,497 | py | networks.py | import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.optim import lr_scheduler
from torch.autograd import Variable
from torch.utils.data import Dataset, DataLoader
import torchvision
import torchvision.transforms as transforms
from torchvision import datasets, models... |
dea4709c21bea2631c741cb3d1dcf9734e504ec5 | 3ecbcb05ff20a2d0df6ddd6772e5fc39e3a49c15 | /pi-commute-dashboard/transport/__init__.py | becd34091e1254eca0eceb72022c2fe4639ac1c9 | [] | no_license | cjheppell/pi-commute-dashboard | f886d370de7b9b5b9c23e26606ebc707d432ccd8 | 9e4fd192dcef13b202090a745e62e2fde2bf3909 | refs/heads/master | 2020-05-21T21:46:23.677292 | 2019-05-12T17:35:26 | 2019-05-12T17:35:26 | 186,160,896 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 132 | py | __init__.py | from .road_traffic import RoadTraffic
from .trains import Trains
from .transport_api import TrainStatus
from .types import Transport |
195b49a314b1e58014277629cffee30deb6c5603 | 03ff89c04cd325d3f7b4266c59e39011f5b466ba | /head_ogs_vs_gw-model/confined/conf_head_ogs_vs_gw-model.py | abf705d73fb1083480a7c312091f02f4fdb280cf | [] | no_license | timohouben/python_scripts | dabd35a7778fc459beddd5286141d405af32be1c | 15c622645725560c6450cd31ff194aa95394bfc9 | refs/heads/master | 2021-02-03T21:14:29.916525 | 2020-02-27T15:02:04 | 2020-02-27T15:02:04 | 243,537,745 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,282 | py | conf_head_ogs_vs_gw-model.py | #!/usr/bin/env pythonw
# -*- coding: utf-8 -*-
########################################
# the following must be considered:
# - initial conditions in OGS must be switched off (saturation will be = 1 in whole domain)
# - script not yet functioning for transient analysis
# -
import matplotlib.pyplot as plt
from mpl_to... |
9951b737276e7589d5b3cb01889b631d159f3c2e | 959d3ff7725dfc8d6eb71d55e161917576ea2552 | /databaseAPI.py | 2dd87f1e073eba1f0e6e729522bd8b2c02ab36c9 | [] | no_license | cucou0313/gangyue | 09a15ace880b23f6b47f651cf56c07a44befa4ee | 1c2b10a1cd54a82d4bf8a638a29a9abea5d6b7f7 | refs/heads/master | 2021-05-18T13:05:48.374901 | 2020-04-29T07:38:15 | 2020-04-29T07:38:15 | 251,254,720 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 13,236 | py | databaseAPI.py | import pymysql
import time
sqlconn = {
'host': 'localhost',
'user': 'root',
'password': '123456',
'database': 'gangyue'
}
pymysql_db = pymysql.connect(host=sqlconn['host'],
user=sqlconn['user'],
password=sqlconn['password'],
... |
0ffa47c7be704e10e712147e7d66cd2348ccc1ec | ae31de7dd99cfab17f282a3b9509a6ae5f88b84a | /10_并发编程/02_多线程/PYTHON线程池及其原理和使用（超级详细）/01_为什么使用线程池.py | 41074000a40ba8b2523df8e6ef752214e10bbfa4 | [] | no_license | 806334175/pystudy | fe7b1279d558c74c2db744fc14b14674c0f3c26d | 0d0c9d6ed7f22088c91a99feaa3b2386da8798e0 | refs/heads/master | 2020-09-30T12:13:05.725820 | 2020-04-17T06:07:14 | 2020-04-17T06:07:14 | 227,285,389 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,068 | py | 01_为什么使用线程池.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2020/1/9 上午11:43
# @Author : Ryu
# @Site :
# @File : 01_为什么使用线程池.py
# @Software: PyCharm
# 系统启动一个新线程的成本是比较高的，因为它涉及与操作系统的交互。在这种情形下，
# 使用线程池可以很好地提升性能，尤其是当程序中需要创建大量生存期很短暂的线程时，更应该考虑使用线程池。
#
# 线程池在系统启动时即创建大量空闲的线程，程序只要将一个函数提交给线程池，
# 线程池就会启动一个空闲的线程来执行它。当该函数执行... |
b94fb7667d99a3282b9563b3200618ab0130c752 | 07886b44740b73ef72c27fe716df9e72bcec73b9 | /component/effect_component.py | c8cbd7375910c6b7d51af3be144e275b5cc971b9 | [] | no_license | PedalPi/Raspberry-P1 | 965e054b7b748899c1c3787bdfe3684c22af975c | 026b19e6ab537822cfe69ad9cde93dd19aca000a | refs/heads/master | 2021-01-13T10:05:58.803057 | 2018-10-26T20:51:51 | 2018-10-26T20:51:51 | 72,132,456 | 0 | 0 | null | 2017-05-25T20:56:44 | 2016-10-27T17:36:35 | Python | UTF-8 | Python | false | false | 1,031 | py | effect_component.py | # -*- coding: utf-8 -*-
from gpiozero import Button, LED
class EffectComponent(object):
def __init__(self, pin_button, pin_led, pull_up=False):
self.button = Button(pin_button, pull_up=pull_up)
self.led = LED(pin_led)
self._effect = None
@property
def action(self):
return... |
4b8827150d5c3e5bffd2f45eec238dfae43e9756 | 0415935e5d624b88ed45ebbbd406a5d0f658379b | /3D classification/MBB/Data Generation/DataGen.py | dfeb23c65e0e5887df9a732ddda22a1bfb53e1cb | [] | no_license | me17b016/Part-Classification-using-ML | 2abf95f2638480c09fabe7d033ecc1da0127f866 | 5e652997f7766b57038794157482a9e07e92b2e7 | refs/heads/main | 2023-04-21T04:25:33.548210 | 2021-05-20T15:31:15 | 2021-05-20T15:31:15 | 368,851,810 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,092 | py | DataGen.py | import os
import vtk
import csv
folders = ['BOLTS AND SCREW', 'NUTS']
directory = "/content/drive/My Drive/DATASET_FOR_3D/"
data = [("label", "R1", "R2", "R3", "D")]
# "length", "breadth", "height",
for foldername in folders:
tem_directory = directory + foldername
for filename in os.listdir(tem_directory):
... |
8139b2b3b01b7da71419c3975a14a127d8d8a773 | d24a6e0be809ae3af8bc8daa6dacfc1789d38a84 | /ABC/ABC306/D.py | 69b32dd2974097a4a119809be7afa6ca64e02498 | [] | no_license | k-harada/AtCoder | 5d8004ce41c5fc6ad6ef90480ef847eaddeea179 | 02b0a6c92a05c6858b87cb22623ce877c1039f8f | refs/heads/master | 2023-08-21T18:55:53.644331 | 2023-08-05T14:21:25 | 2023-08-05T14:21:25 | 184,904,794 | 9 | 0 | null | 2023-05-22T16:29:18 | 2019-05-04T14:24:18 | Python | UTF-8 | Python | false | false | 716 | py | D.py | def solve(n, xy_list):
dp = [[0] * 2 for _ in range(n + 1)]
for i in range(n):
x, y = xy_list[i]
if x == 0:
dp[i + 1][0] = max(dp[i][0] + max(0, y), dp[i][1] + y)
dp[i + 1][1] = dp[i][1]
else:
dp[i + 1][0] = dp[i][0]
dp[i + 1][1] = max(dp[i... |
377b8b5ab1ed7063005050c1f145539d4690403e | abf1abf94bd3661b494ff8e5c96433ba62eb90f9 | /GetDeleteGroupMembers.py | 187a45023f396b9f2db9ccf68dd9737161a9f51c | [
"MIT"
] | permissive | thales007/Jive-Community-Management | 8634f6064ffc1dbfea090ab29397d8ca13709c0a | ae80baef13f42d45fa5bcf7a74b3f4c30b0a0e91 | refs/heads/master | 2021-01-22T23:58:29.252824 | 2014-10-24T19:02:53 | 2014-10-24T19:02:53 | 24,770,881 | 5 | 1 | null | 2014-10-17T14:43:20 | 2014-10-03T19:26:11 | Python | UTF-8 | Python | false | false | 2,857 | py | GetDeleteGroupMembers.py | #######################################
# Title: Get and Delete group members
# Description: Gets a list of member IDs and deletes them from the group.
# Update community base URL, username, and password.
# Author: Timothy Hales
# Date: 10/7/2014
# Version: 1.0
# Python Version: 2.7
# Jive Rest API: v3
# GitHub R... |
e62f02e90ca7b076f638c31028a77d6b1568aca5 | 5c1c1e23c5dbae2a54d2aaab79ade95b0cb80a8a | /src/theory/language_reference/lexical_analysis/line_structure.py | ce56f7b2fe7e46446a31651b198eca3fd3f8221a | [] | no_license | anhnh23/PythonLearning | 186486475fc8fc0b67938e69d73e89d38990bdbe | b6e3d43e8ab47c2a68028a1fc30878e1a6cc9baf | refs/heads/master | 2020-06-13T20:54:33.359053 | 2017-07-20T08:32:26 | 2017-07-20T08:32:26 | 75,555,321 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 47 | py | line_structure.py | '''
Created on Dec 5, 2016
@author: ToOro
'''
|
d1ab0b73989fb8a5a1b320247dbeacd3da560271 | 8dc6c12b862205c2f15f89e93bb722cd6ae5fa4d | /registros/programa testes/parse.py | 5f5692fe39cfff5c776d9e91cc93eb7c7d030b35 | [] | no_license | fabio-stdio/BBM-Vufind_others | 2b6293c9405a3df2a2806c4e4c95f78a9ec1cf33 | f353fbdaf60293874a19d11a250ddd702da0ca1e | refs/heads/master | 2020-04-05T01:20:22.436007 | 2018-11-29T15:33:05 | 2018-11-29T15:33:05 | 156,432,428 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,161 | py | parse.py |
'''Este arquivo é parte do programa marc2dc
marc2dc é um software livre; você pode redistribuí-lo e/ou
modificá-lo dentro dos termos da Licença Pública Geral GNU como
publicada pela Fundação do Software Livre (FSF); na versão 3 da
Licença, ou (a seu critério) qualquer versão posterior.
Este programa é distribuído na... |
8fd99931f8c7ded41e6a69bd055c9ab941c95be2 | aa52a0f6f6ad93c97718c216b668106687d23fd5 | /pir2_control/scripts/head_command_real_world.py | f322ad2f7b3d61c3fc1ffe141fe18445ef3b41a2 | [] | no_license | ais-lab/pir2_core | 49d05e46978d5b22a0810a3ef8e03951db2044e4 | ba3fd8d4a7715bd2059c1037a3b94ab39a016b2f | refs/heads/master | 2020-06-27T19:52:50.478313 | 2020-02-09T02:49:33 | 2020-02-09T02:49:33 | 200,034,619 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,563 | py | head_command_real_world.py | #!/usr/bin/env python
import rospy
import numpy as np
import math
from sensor_msgs.msg import JointState
from std_msgs.msg import String, Bool, Float64
from trajectory_msgs.msg import JointTrajectory, JointTrajectoryPoint
from pir2_msgs.srv import HeadCommand
from pir2_msgs.srv import HeadCommandResponse
MAX_PAN_PO... |
a1bd96f055e4e2638e9bee07723705a69fa39682 | eb51081f92d38b77ba5026eca42183731dbf7208 | /HW1/object.py | 0e891635c27520ef6ed1df8781b2a9b8bb908276 | [] | no_license | harrgrigory/ACA-Machine-Learning | f1b45157eaa9cb283e1ed46ff7e2a71f4ddfa4c3 | a2bd066ba870d689a60664ef339189c20219ec29 | refs/heads/master | 2022-12-12T21:26:22.956745 | 2020-08-24T17:55:29 | 2020-08-24T17:55:29 | 271,998,450 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 521 | py | object.py |
class Item:
def __init__(self, property_1=None, property_2=None, property_3=None,
property_4=None, property_5=None):
self.property_1 = property_1
self.property_2 = property_2
self.property_3 = property_3
self.property_4 = property_4
self.property... |
c12bd196f501d5c5503704d1f278a154584f614d | 7e561a427a26d34c776c38af8ce98e6a0089c827 | /speed/api/serializers.py | 8aac8dfcb8c2e1868ee5e172ac7735b8796108c7 | [] | no_license | furkalokbu/reportpage | 2772993858f16f287f069e2d2eefe0e42d2e569d | 1f50612dede962f52ecb06e0fafbf1a73733afeb | refs/heads/master | 2023-07-22T00:22:04.942273 | 2021-09-03T06:35:49 | 2021-09-03T06:35:49 | 401,259,028 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 815 | py | serializers.py | from django.db.models import fields
from rest_framework import serializers
from speed.models import UserData
from rest_framework.response import Response
from speed.models import SpeedUserData, ReportDate
class UserDateSerializer(serializers.ModelSerializer):
average_speed = serializers.SerializerMethodField()
... |
c8b6647dacdcc00b9121308d1a3fd10359500e00 | 685cb6ad7ea3bd6d9f088f2175e4ffd6d972fabf | /core/admin.py | e1778ee48bb15c0ac0e164438187f1fb742773fa | [] | no_license | nurmatovvw/poster | 071ec38e6fc897615365b4197606be3c9f423fd1 | e4f2af95073e01e302da288f3a970867e01e7aec | refs/heads/main | 2023-08-21T07:53:03.613689 | 2021-10-22T11:00:46 | 2021-10-22T11:00:46 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 118 | py | admin.py | from django.contrib import admin
from .models import Poster
# Register your models here.
admin.site.register(Poster)
|
4b7992077b0450df38f1cf1293761ba2b8a23c53 | 033f5ecf914d8805554a9ebda0845927ff53181c | /Problem102.py | c228c0a7b0fc3f9fb5e20a8f4142489f7e35dc5d | [] | no_license | AtieDag/Project-Euler | dea5c9fb841cc6e17caee28049806afc71055dcd | fd2856425af31aba2effbf1f05a63b386c67174e | refs/heads/master | 2021-07-16T12:12:06.301233 | 2021-05-14T15:00:27 | 2021-05-14T15:00:27 | 60,209,610 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,357 | py | Problem102.py | import math
import numpy as np
from numpy import genfromtxt
class Point(object):
def __init__(self, x=0, y=0):
self.x = x
self.y = y
def distance(self, p2):
range_x = self.x - p2.x
range_y = self.y - p2.y
return math.sqrt(range_x * range_x + range_y * range_y)
class ... |
4f3a6c3afbbb30fbf5be9782df24cc32a0fc9476 | 2a69a57db833e1d824eb0b13820449ee1d207110 | /scikit/logistic_regression.py | f1d8091581f952ddc6362f6d8aadfe2cdc815117 | [] | no_license | antonmi/python_ml | 4120dd80f6291e3ab56306a7a95f679d0b643bf6 | 534a0e787414f5045ce582d79a4e2bcfe791b8f0 | refs/heads/master | 2020-03-27T06:07:53.399087 | 2018-08-25T09:02:30 | 2018-08-25T09:02:30 | 146,081,117 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,227 | py | logistic_regression.py | from sklearn import datasets
import numpy as np
iris = datasets.load_iris()
X = iris.data[:, [2, 3]]
y = iris.target
from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=1, stratify=y)
from sklearn.preprocessing import StandardScal... |
2f5be025648e5acb02761197d5e31a915132caea | 29ec896c44f8c44d458c3878c3810b1e35304974 | /notebooks/notebook_solutions/cluster_weights.py | 1e209b183fcfe9bb97534a3ac7226b8988e45330 | [
"MIT"
] | permissive | tapanmishra/text-mining-class | 74b947160536d12bf8d2c26d1722344c3e110688 | 01014a2d033564bab9fdcd33bb414e520e289714 | refs/heads/master | 2021-01-13T19:13:05.003272 | 2019-06-21T15:29:51 | 2019-06-21T15:29:51 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 269 | py | cluster_weights.py | import pandas as pd
feature_names = tfidf_vectorizer.get_feature_names()
for i, center in enumerate(kmeans.cluster_centers_):
print(f"Cluster #{i}:")
df = pd.DataFrame({"word": feature_names, "weight": center})
print(df.nlargest(10, "weight"))
print()
|
59f560e2abb7d54da1be1df175c57af4febe97e7 | 1c5d970306c2dc820f628d8cb14311eb8afedbf4 | /2020/09_encoding_error/solution.py | 1ba03707c9722afbfd36effe5a47b09298a53057 | [] | no_license | Levis92/advent-of-code | 35d2ba648aae78cefb19d1adf7727753b7363ce5 | d3a1b8d8793882e2ae5db332be9b49eb6a0ca19b | refs/heads/master | 2022-12-28T07:58:25.545439 | 2022-12-06T23:12:56 | 2022-12-06T23:12:56 | 159,952,978 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 784 | py | solution.py | from itertools import combinations
from typing import List, Tuple
# Format data
with open("data.txt") as f:
numbers = [int(n) for n in f.readlines()]
"""
--- Part One ---
"""
for i, n in enumerate(numbers[25:], start=25):
sums = [m + k for m, k in combinations(numbers[i - 25 : i], 2)]
if n not in sums:... |
4a01547ad57b548b6d4009b0b93c412ed72ae157 | d70e71fcfd3ed3c40ba803d6c6342dbe4845b67e | /game_agent.py | 0cb02da3d929621eb2881a0c181da08456359eea | [] | no_license | zachhilbert/AIND-Isolation | 0b1b3e38d2f1d6b398fa96c0bb7dc9fc324d4d9b | 2680e185d7e61c96344bb666b7435ac138ad7f46 | refs/heads/master | 2021-01-22T21:53:21.711820 | 2017-06-15T22:26:57 | 2017-06-15T22:26:57 | 92,741,591 | 0 | 0 | null | 2017-05-29T13:15:46 | 2017-05-29T13:15:46 | null | UTF-8 | Python | false | false | 18,225 | py | game_agent.py | """Finish all TODO items in this file to complete the isolation project, then
test your agent's strength against a set of known agents using tournament.py
and include the results in your report.
"""
import random
class SearchTimeout(Exception):
"""Subclass base exception for code clarity. """
pass
def is_m... |
e6f7506295718680e4c75e61fa9ff4a463063ba9 | 58a9aefc7ef2c13eee4b2c779ae64b66584d6598 | /rotate.py | 3482a2b24b1dd25aa10e541c65c91327d982d48c | [] | no_license | RishabhPatil/GalaxyMorphologyPrediction | 1590cbe856d24eea7df65db68b4c54fddfc4990b | 312f5890cc18460f04e019dc072c88d072f9b009 | refs/heads/master | 2020-03-11T18:48:28.807256 | 2018-12-26T20:47:08 | 2018-12-26T20:47:08 | 130,188,754 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 972 | py | rotate.py | from PIL import Image
import os
import matplotlib.pyplot as plt
from multiprocessing import Pool
import numpy as np
INPUT_FOLDER = "l_resized_images/"
OUTPUT_FOLDER = "l_rotated_images/"
files = os.listdir(INPUT_FOLDER)
def rotator(start):
files_out = os.listdir(OUTPUT_FOLDER)
count = 0
total_count = len... |
904cbb3f71acaf3c5ddb919e588f30a18dc5dc3e | c9ff278b7cef06140dcaa950b94be7c00726040d | /docx.py | 23f3a25239349bda49aa21219838a7c3a2752920 | [] | no_license | baylism/docx_tools | ac65d41b57ef751a20bc745927901206118bf51b | 6453bb9f3ef102ea2f72111bf8b5f47d2a4497a1 | refs/heads/master | 2021-03-16T10:27:16.894762 | 2018-01-30T21:29:58 | 2018-01-30T21:29:58 | 109,160,225 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,323 | py | docx.py | import zipfile
from parsers import parse, parse_notes
# Define XML document schema tags
TEXT_NAMESPACE = '{http://schemas.openxmlformats.org/wordprocessingml/2006/main}'
PARA = TEXT_NAMESPACE + 'p'
FOOTNOTE = TEXT_NAMESPACE + 'footnote'
ENDNOTE = TEXT_NAMESPACE + 'endnote'
TABLE = TEXT_NAMESPACE + 'tbl'
cla... |
0b6bfa193fd1982766e729bf61d1191f94687f52 | 1a3ada591f1180b48d273d2c5d00ff4f7a8668ba | /Greenhouse_3_MakeTimeSeriesFigure.py | 365cd988b949b09428c557c7027df9eebf38175e | [] | no_license | cjetter/hello-world | b860ed2217c6f85d7e3a5266accbfab0abffccb5 | 1e4795d6f73bbbefbe836cb6ee71a13df15f1aaf | refs/heads/master | 2021-01-18T20:19:01.409026 | 2017-10-19T15:27:10 | 2017-10-19T15:27:10 | 86,954,133 | 0 | 0 | null | 2017-04-02T20:40:48 | 2017-04-02T01:21:32 | null | UTF-8 | Python | false | false | 3,272 | py | Greenhouse_3_MakeTimeSeriesFigure.py | # Script to generate figures and widgets for plotting of temperature, humidity, pH, etc.
#import libraries
from bokeh.plotting import figure
from bokeh.models import NumeralTickFormatter, Range1d, DatetimeTickFormatter
from bokeh.models import ResetTool, PanTool, WheelZoomTool, BoxAnnotation
from math import radians
... |
253fa493c17a7bcd95b3179cb26f3f5ef5241558 | 7db26a8ebb1aedea72fdc840cb7c0f49de961344 | /line_plot.py | 0aab3392f3a2fabd0a1fee7fda76be978f3a6316 | [
"MIT"
] | permissive | Yatharth9607/lid_driven_cavity_python | 52a87ddfbc601506254444078fa08852c10ad659 | dd7cee80607eceebc314894ff4428155facea941 | refs/heads/master | 2022-12-22T00:49:59.553360 | 2020-09-26T03:55:41 | 2020-09-26T03:55:41 | 273,360,971 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 844 | py | line_plot.py | # line plot with matplotlib
import numpy as np
import matplotlib.pyplot as plt
def plot_convergence(u_res, v_res, p_res):
"""receives total residual values"""
# step 1: create data to plot
p = np.count_nonzero(u_res)
q = np.count_nonzero(v_res)
r = np.count_nonzero(p_res)
iterations = max(p, q,... |
bacfdb91157ac96c9f0ba37b9bf0911b9cd2bdfc | 874b03a2f96bd6ebdfa21b61d6c4a703ea4d3032 | /py_sedyield.py | 04ef039692d20438eaaed7e682728bfd00d2e990 | [] | no_license | chunyaoyang/dissertation | b026c53eee38ca4c071d454fdd279a4a9a8fdca7 | 21768336b6913629235a8cd0e40f1205b511509f | refs/heads/master | 2020-04-23T18:11:05.174417 | 2019-02-18T21:48:26 | 2019-02-18T21:48:26 | 171,357,326 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,023 | py | py_sedyield.py | # -*- coding: utf-8 -*-
"""
Created on Fri Jan 18 14:50:57 2019
@author: cyyang
"""
import statsmodels.api as sm
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from scipy.special import gamma
from scipy.optimize import fsolve
import scipy.stats as sp
def trainLinear(x,T):
"""Linear regre... |
a63318f89ed68f1b796a862733702c783969787e | f0e43d42c43eec374134ca829baba8a645e8cc7c | /agent.py | 5dae1c75f29013861359e53f2f9d2d0683c83951 | [] | no_license | strollcata/games-ai-spike-7 | ed6ff8b9064e35a708b4fc79a70c454ae357af4d | b8f895c01d426b03cb68094b77f40bc97d468553 | refs/heads/master | 2020-03-11T01:02:16.302391 | 2018-04-17T04:51:48 | 2018-04-17T04:51:48 | 129,679,513 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 20,001 | py | agent.py | '''An agent with Seek, Flee, Arrive, Pursuit behaviours
Created for COS30002 AI for Games by Clinton Woodward cwoodward@swin.edu.au
'''
from vector2d import Vector2D
from vector2d import Point2D
from graphics import egi, KEY
from math import sin, cos, radians
from random import random, randrange, uniform
from path i... |
1b5bffa7651dde12be87561825f66aadeb55a0bd | 2a46e03777a3a25b226e082ae8e30561ca9ead6a | /backend/apps/book/models.py | 6f8a3a2b6eec24c256bd4a36e86cc51c465f4c10 | [] | no_license | Alex-Just/uo | cff2981663909deef5584bc8f2badd040b544e58 | 8a384bc40a5580105eea337d40ceab4ba0514846 | refs/heads/master | 2021-01-01T06:02:39.155286 | 2018-01-20T13:00:10 | 2018-01-20T13:00:50 | 97,339,865 | 0 | 0 | null | 2018-07-21T13:01:02 | 2017-07-15T20:13:05 | JavaScript | UTF-8 | Python | false | false | 1,251 | py | models.py | from django.db import models
from django.utils.translation import ugettext_lazy as _
from apps.common.behaviors import Publishable
from apps.common.fields import CustomForeignKey
class Topic(Publishable):
pos = models.PositiveSmallIntegerField(_('Position'), unique=True)
title = models.CharField(_('Title of... |
50b02dc63429f870bd85b4f136722027e2f3e317 | f60617e714fc01a5960fb69163c4df3200704426 | /mini_gplus/resources/comments.py | 1604f41c8c8ad55c6098c261c41cb678916311a9 | [
"MIT"
] | permissive | baronrustamov/pill-city | 97d1063f60766623ddfe95c8486bdd3de0ccdb1e | 196635e7d0019def1d5ee3b38f82e270085201a0 | refs/heads/master | 2023-08-18T21:11:11.978403 | 2021-10-13T17:55:50 | 2021-10-13T17:55:50 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,072 | py | comments.py | from flask_restful import reqparse, Resource, fields, marshal_with
from flask_jwt_extended import jwt_required, get_jwt_identity
from mini_gplus.daos.user import find_user
from mini_gplus.daos.post import dangerously_get_post
from mini_gplus.daos.comment import create_comment, dangerously_get_comment, delete_comment
fr... |
48550faaaaff1dab09ac82053f21d67cd500fde6 | b63062e7720fd33e5da70e1709b31bb818030efa | /Controllers/StudentAuthorizationController.py | 94cc7c69fdc27b95fcf39eb222b88a055d65d850 | [
"MIT"
] | permissive | GreatHorizon/library | c5b88ce20682f55c902ba8f54068eaa4c9a1b986 | a1370b94c2aa51825732bacecb161fe54f43124d | refs/heads/main | 2023-02-12T13:00:47.221893 | 2021-01-12T11:00:58 | 2021-01-12T11:00:58 | 304,581,443 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 805 | py | StudentAuthorizationController.py | from Models.StartPageModel import StartPageModel
from Models.StudentPageModel import StudentPageModel
class StudentAuthorizationController:
def __init__(self, master, model, view):
self._master = master
self._model = model
self._view = view
def BackToStartPage(self):
from Views... |
b185072195f99ca5182a320a3625556718dbd4bc | 1186962282437311286711570713b2881c445d2a | /Aliens/flask_app.py | 2b934af436e2064e0174f9b29225157bfe15e4d5 | [] | no_license | venis4/GWC-Hack-Solstice-Flask-Workshop- | bc0e27faca2c72270ec16cf0bd309a2db517b55e | f6ee66c039d25733a904bc4124b47bc946582db6 | refs/heads/main | 2023-02-25T06:16:51.297344 | 2021-01-16T01:28:25 | 2021-01-16T01:28:25 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 478 | py | flask_app.py | from flask import Flask, render_template, request
from jinja2 import escape, Markup
app=Flask(__name__)
@app.route('/')
def upload():
return render_template("beamup.html")
@app.route('/success', methods = ['POST'])
def success():
if request.method == 'POST':
file = request.files['file'] ... |
cc1e48367d432548d0a54cfbe96d9e47b10dc53c | 6056a1191228cae3f31b9a92772ff3c23cab06d8 | /In/image/imager.py | dc4c0ebe3c63358ee908907a4d332655adcdf9ca | [
"Apache-2.0"
] | permissive | vinoth3v/In | 2e98f941f4367cf3e0dcbbc56dc30a359bc3f564 | d5b3651ff909c55a48566f7b8b33d38103ff09b1 | refs/heads/master | 2021-01-22T14:38:58.870835 | 2016-01-15T07:53:58 | 2016-01-15T07:53:58 | 41,109,563 | 3 | 1 | null | null | null | null | UTF-8 | Python | false | false | 4,588 | py | imager.py | import os
import PIL
from PIL import Image, ImageOps
class InvalidImageStyleException(Exception):
'''InvalidImageStyleException'''
class Imager:
'''IN imager'''
def __init__(self):
self.config_style_filters = IN.APP.config.image_style_filters
self.filters = {
'resize' : self.resize,
'resize_cro... |
3cf615534b80ea84d11bf311ee4b56863df32712 | 0060b5bfb1aee0b7ecd530042d4422f1703c54b9 | /JaapIDEFiles/FSwap_OnePath_Pattern.py | da78a5e9df2a4a5f03947f83722672ab17c98f8d | [] | no_license | paulberinde/fruitvliegen | 7745188f805fc0b15558866e27d582f8dcd406ea | e203cf8f9b75468ff745614037065caf853f0157 | refs/heads/master | 2021-01-01T04:05:33.086669 | 2016-05-24T22:47:49 | 2016-05-24T22:47:49 | 56,596,661 | 0 | 1 | null | 2016-04-19T13:41:13 | 2016-04-19T12:56:23 | Python | UTF-8 | Python | false | false | 4,821 | py | FSwap_OnePath_Pattern.py | """""""""""""""""""""""""""
Gene Swapping Algorithm
"""""""""""""""""""""""""""
"""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""
Team Melanogaster
Jaap Nieuwenhuizen, Paul Berinde-Tampanariu, Merel van de Hurk
"""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""
# import
import random
impo... |
0e35784888ee4e1d2679cbc37e6f27ba3bd4b630 | b7afa87e9b382199219d6e533419654a8ff670bb | /mamonsu/plugins/__init__.py | bf49b68e2d1a111a532b83aff22b7859af4c086c | [
"BSD-3-Clause"
] | permissive | postgrespro/mamonsu | a7f63421ecadb5e11a54f0307022525ef89079da | dd372df24c4bc356a7aafd89135187c21146681d | refs/heads/master | 2023-09-01T01:06:38.146729 | 2023-06-13T08:42:11 | 2023-06-13T08:42:11 | 50,690,011 | 207 | 48 | BSD-3-Clause | 2022-12-20T11:43:58 | 2016-01-29T20:42:24 | Python | UTF-8 | Python | false | false | 110 | py | __init__.py | __import__("mamonsu.plugins.common")
__import__("mamonsu.plugins.pgsql")
__import__("mamonsu.plugins.system")
|
6c71b24336c3922737522c70e68d38d940be7350 | 034663a4ca7d48eb0342ae00475d806f754ef83e | /oops_Mini_project.py | 6f09ec644eee47029a3bf55c73a1ad16ad15a4ab | [] | no_license | shweta0236/Library-Managment-System | 4c12c89eb1f6101cab7638579a846b0368462270 | 86d5b9a2cdc195968fe8c4bb553213508a202de2 | refs/heads/master | 2023-01-04T18:15:29.490255 | 2020-11-01T15:17:52 | 2020-11-01T15:17:52 | 221,454,370 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,836 | py | oops_Mini_project.py | # Create a library class
# display book
# lend book - (who owns the book if not present)
# add book
# return book
# HarryLibrary = Library(listofbooks, library_name)
# dictionary (books-nameofperson)
# create a main function and run an infinite while loop asking
# users for their input
class Librar... |
ac0ff1fc6e0652504450a6b1247413054be932bb | 69657f612c5522eaaa6f85587703d41c7783e956 | /trainModelBackground.py | b5e7823ef05e6b658cb235919814857dd93b15de | [] | no_license | ryanbaldini/MineSweeperNeuralNet | f5be9777960e1bc6eff25e3b5ae8f9397bf3d5b6 | 7c9b32ee23ca2f618ae3117cca94a386e0b65388 | refs/heads/master | 2023-04-06T13:12:45.492346 | 2020-04-13T15:13:31 | 2020-04-13T15:13:31 | 100,531,321 | 13 | 7 | null | 2023-03-25T00:17:00 | 2017-08-16T20:48:14 | Python | UTF-8 | Python | false | false | 1,599 | py | trainModelBackground.py | from MineSweeperLearner import MineSweeperLearner
import imp
import sys, getopt
from keras.models import load_model
#called like this:
#python trainModelBackground.py -o [option] -m [model] -b [batches] -g [gamesPerBatch]
def main(argv):
option = ''
modelChoice = ''
nBatches = 1000
nSamples = 1000
... |
c03ada63eec052382e902865d8790b10f5da037f | 93c08cd7dc8dd1879406aff7597c2c7874e9a738 | /python/PATconfig/vertex_cff.py | 29c8f8dcdef03d932c94255970995c3c5691dfc3 | [] | no_license | delaere/zbb_louvain | 22b39e85695070c626fe1360d71bcc05b6703069 | d84f90d9a068b623e2b5eabb3e0dcf0cda9e5498 | refs/heads/master | 2021-01-25T08:54:34.292865 | 2015-05-09T11:45:55 | 2015-05-09T11:45:55 | 10,745,430 | 1 | 4 | null | null | null | null | UTF-8 | Python | false | false | 2,108 | py | vertex_cff.py | import FWCore.ParameterSet.Config as cms
from CommonTools.ParticleFlow.goodOfflinePrimaryVertices_cfi import goodOfflinePrimaryVertices
def setupGoodVertex (process):
process.goodPV = goodOfflinePrimaryVertices.clone(filter=cms.bool(True))
def changeVertexCollection (process,seqName='patDefaultSequence'):
... |
56476c9289480173fe31d8a3deb5a2998bc04e98 | 5028aa063f6069ae46eef327bef6c438d1106e92 | /classes/roles.py | 4729bd720f723fa3f3f0d11e2a276cc17ef68567 | [] | no_license | BdogUSU/ToZion | 19cdc3f00ff616246397c1bddfb4395a187d3475 | fab169ead6360eb9474faa84a4a3fbd0a1bddc95 | refs/heads/master | 2021-01-21T09:02:30.301011 | 2014-08-31T02:57:33 | 2014-08-31T03:02:13 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,695 | py | roles.py | class Role(object):
def __init__(self, **kwargs):
#TODO: these values need to be initialized by some historical stats
super(Role, self).__init__()
self._stamina = kwargs.pop('stamina', 0)
self._leadership = kwargs.pop('leadership', 0)
self._power = kwargs.pop('power', 0)
... |
cdf0e49b73e3060b41872e89e9f0ced2ecae0d40 | 3813d7640dee47095dd6eb12d53818006ec09154 | /tdds/collections.py | 903409025e583226a2aaae340dff3c8578c68528 | [] | no_license | saintamh/tdds | 23b329bd8f0ed22c606bfbe974ded73ae8c6f761 | c03004a380aff705c8951d1ea6cf46813d12d8e1 | refs/heads/master | 2023-08-22T20:00:39.320808 | 2021-10-19T10:44:14 | 2021-10-19T10:44:14 | 211,058,908 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,734 | py | collections.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#----------------------------------------------------------------------------------------------------------------------------------
# includes
# 2+3 compat
from __future__ import absolute_import, division, print_function, unicode_literals
# tdds
from .basics import Field... |
475aa2a9973d940936313ac22e041ef2a55a2c46 | ca55dcaa64ea9db4068e13091321cfebecc0ff41 | /codeUp/codeUpBasic/1564.py | ccb44826d26bad9b0f9fd18e0a1f724f4332653d | [] | no_license | gomtinQQ/algorithm-python | 8fb8343594b945099ae2a4dfa794ecb47e54ab0b | 751562922b66e335f621d366bb73dacdc7125140 | refs/heads/master | 2022-12-07T23:05:44.535593 | 2020-08-21T12:29:58 | 2020-08-21T12:29:58 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 537 | py | 1564.py | '''
1564 : [기초-함수작성] 함수로 최대공약수 리턴하기
int 형 자연수 두 개를 입력받아
최대공약수(GCD, Greatest Common Divisor)를 출력하시오.
단, 함수형 문제이므로 함수gcd()만 작성하여 제출하시오.
'''
def gcd(x, y):
num = 0
if(x > y):
max = x
min = y
else:
max = y
min = x
for i in range(1, min+1):
if(x%i==0 and y%i==0):
... |
cefc33f65bddaddbddc0121a8744b13cb8178096 | c5729ddd11a522a8e2ef45653d4017ff8fc429cf | /examples/fit_cartpole_ppo_multi.py | 6f8d3d443ee009d6af97c283a5df0a3a6eb72ab8 | [] | no_license | afcarl/trickster | 6a3b4a7f693fc8fbfb2005896f3a2db38a0b471f | 398585de7a92dd5578e45ed00803b31ddaede529 | refs/heads/master | 2020-08-28T07:43:32.641110 | 2019-09-15T20:00:40 | 2019-09-15T20:00:40 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 864 | py | fit_cartpole_ppo_multi.py | from trickster.agent import PPO
from trickster.rollout import MultiRolling, Trajectory, RolloutConfig
from trickster.model import mlp
from trickster.utility import gymic
envs = [gymic.rwd_scaled_env() for _ in range(8)]
input_shape = envs[0].observation_space.shape
num_actions = envs[0].action_space.n
actor, critic =... |
11bfaa2cf2c04bd4d2623f96f51f19cf00aa8a66 | 8fdcd12cfb91b2245da8b3c65fb937b1d72dd4c5 | /tissuelab/omero/gateway_ome500_ice351/omero_api_IAdmin_ice.py | 47d408f481068ac44acc5e5501811c5ab0f7cbda | [] | no_license | VirtualPlants/tissuelab | 569a334deab0b73acc8b43f313efc3f4c4e552fd | 8c064a34b91127806848f4992d1e4767574863cf | refs/heads/master | 2021-01-11T01:32:19.830778 | 2017-05-04T09:42:53 | 2017-05-04T09:42:53 | 70,694,783 | 2 | 1 | null | 2017-01-05T14:21:50 | 2016-10-12T11:49:10 | Python | UTF-8 | Python | false | false | 53,186 | py | omero_api_IAdmin_ice.py | # **********************************************************************
#
# Copyright (c) 2003-2013 ZeroC, Inc. All rights reserved.
#
# This copy of Ice is licensed to you under the terms described in the
# ICE_LICENSE file included in this distribution.
#
# ***********************************************************... |
fb9a66f42b3d7c2afae7480af9c017b0fca4fd2b | 50407a80247d88989426b6f9d2584a042f519cc1 | /scripts/image_crop_and_visualize.py | b3433c3b8f3a6847ba9607dba242ba773cae3b39 | [] | no_license | yiwang454/BoxCars_copy | 57b52d5edae98d53a17bf00b64b486e605704374 | 7948e2561cb9ca37b462880a934635484acfa84e | refs/heads/master | 2020-06-26T01:37:24.217023 | 2019-08-06T15:48:04 | 2019-08-06T15:48:04 | 199,484,808 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,666 | py | image_crop_and_visualize.py | import csv
import cv2
import os
import json
from math import tan, pi
dir = 'cropped_img'
try:
os.mkdir(dir)
except:
pass
class_dict = {
'4': 'taxi',
'6': 'minibus',
'2': 'motorbike',
'10': 'emergency car',
'11': 'emergency van',
'8': 'rigid',
'5': 'van',
'9': 'truck',
'12': 'fire engine',
'3': 'c... |
bd9d3f111bd5a0b39f4dd1d6d80316f5e63bfdff | 82e210419648d7c644b57105af8d98f904a5cd8e | /poetry/apps/migrations/0002_auto_20180812_0005.py | f80973461403f5d8d1f2d3acfef24830d414397c | [] | no_license | Gaterny/Tang-Poetry-Song-Ci | 09169735a6e32faa62a57bb9442517c77e917b11 | 0491385456d470e5055e35c7a35957fbb5c41ecc | refs/heads/master | 2020-03-26T03:58:39.252774 | 2018-10-09T14:12:01 | 2018-10-09T14:12:01 | 144,480,155 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 621 | py | 0002_auto_20180812_0005.py | # Generated by Django 2.0.4 on 2018-08-11 16:05
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('apps', '0001_initial'),
]
operations = [
migrations.AlterModelOptions(
name='poems',
options={},
),
migratio... |
380815d3b036cb9a43b9ce56a696da79e3b0ed33 | dc814b71879331678f1c7f164d55624f07b1b212 | /strands_qsr_random_classifier/src/random_classification_client.py | 77e0c386f48ec7e4f3d532271af879720b61d335 | [] | no_license | strands-project/strands_qsr | 4fc70af13f507099511b26b359c03aee66acaf01 | 2c3882baaa267e10ec935c15a4bd01325d5f9664 | refs/heads/master | 2021-08-28T17:48:51.528813 | 2014-03-06T08:53:54 | 2014-03-06T08:53:54 | 13,800,703 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,407 | py | random_classification_client.py | #!/usr/bin/env python
import roslib; roslib.load_manifest('strands_qsr_random_classifier')
import sys
import rospy
from strands_qsr_msgs.msg import *
from strands_qsr_msgs.srv import *
from geometry_msgs.msg import *
def random_classification_client(request):
service_name = 'group_classification'
rospy.wait_... |
35512764c389550728370e7264e3ff75766d5e31 | 21ba72b3d6c72355f84aa7e254b076841ff6f141 | /ojos_ca/domain/value_object/sys.py | 015c5aaee3406c98c523330f134a27c3f7fba764 | [
"MIT"
] | permissive | ojos/python-ca | eef268fcd564b799cf31122e3977ccfcbe6b892d | dba9e9c61fd997c8c2ed60a6bd6f076c5f216265 | refs/heads/master | 2021-07-25T13:50:10.906269 | 2020-09-21T15:16:52 | 2020-09-21T15:16:52 | 219,331,540 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,837 | py | sys.py | from typing import Any, Optional
import sys
from ojos_ca.domain.value_object.core import Length
from ojos_ca.domain.value_object.num import Range
class SeqId(Length):
MIN = 1
MAX = 64
MIN_EQUAL = True
MAX_EQUAL = True
class SeqCount(Range):
CLASS_INFO = int
MIN = 0
MAX... |
9945d9ed4ba77a0a6ec27477b2f3517fe2c98711 | 589ed6d1aaeffd29626241db028e5d201fa7ce3d | /Excel2List/Excel2List.py | 6a4cdd478db3aa997f6179e4415b99a42357e412 | [] | no_license | shanghaobo/Tools | 1464fa3df05538adebb64b762bf4109b8471e353 | 8d5407c1f9534614772047cd0f4e84b844e2a150 | refs/heads/master | 2020-12-08T08:50:45.497779 | 2020-01-17T05:39:52 | 2020-01-17T05:39:55 | 232,939,741 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 629 | py | Excel2List.py | import xlrd
class Excel2List:
"""读Excel转为二维数组"""
def __init__(self,path,tab_index):
"""
:param path: excel路径
:param tab_index: 标签下标 0开始
"""
self.data=xlrd.open_workbook(path)
self.sheet=self.data.sheet_by_index(tab_index)
self.rows=self.sheet.nrows
... |
e337c336ec5b2654b2220993a9a1b016eca7e0d1 | 0e75bda5ab68d8d69b63d8e0a3f0af2ebcf5e5b8 | /temp_code/movefile.py | 1e202bae8d306653ea42a5ecfaab939b213f2e88 | [
"Apache-2.0"
] | permissive | tsing90/matting_data | ff5bef2cd30f6756b5042f2d3e772d3e6c9ea8d4 | 93131d19689e5ed5b069807229947ba953a2d2e1 | refs/heads/master | 2020-04-22T22:59:26.233060 | 2019-12-28T22:23:58 | 2019-12-28T22:23:58 | 170,725,712 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 250 | py | movefile.py | import os
import shutil
allimg = os.listdir('new')
src = '/home/kevin/git/Deep Image Matting/Deep-Image-Matting/Combined_Dataset/Training_set/Other/alpha/'
for name in allimg:
shutil.move(src + name, '/home/kevin/git/matting_data/DIM/alpha/')
|
ade8281c23810f705902b862d767fb024bae0e6f | cd5746f8cc7aee1f20606a65b4fae0d5e8ee78dc | /Python Books/Machine-Learning-Python/9781118961742_all code files/02/rVMSummaryStats.py | f4ad301b62fa8a1f57bdddb99446bb94c4eee839 | [] | no_license | theGreenJedi/Path | df24fca355590efef0c6cb5c52e7216c6b5d2464 | b5ed2805dbb046480929e49e550bfd8af5bb4d6f | refs/heads/master | 2023-07-27T14:23:37.694546 | 2021-07-16T01:38:55 | 2021-07-16T01:38:55 | 87,686,563 | 8 | 2 | null | 2023-07-11T22:49:03 | 2017-04-09T05:57:30 | Jupyter Notebook | UTF-8 | Python | false | false | 1,952 | py | rVMSummaryStats.py | __author__ = 'mike_bowles'
import urllib2
import sys
import numpy as np
#read data from uci data repository
target_url = ("https://archive.ics.uci.edu/ml/machine-learning-"
"databases/undocumented/connectionist-bench/sonar/sonar.all-data")
data = urllib2.urlopen(target_url)
#arrange data into list for lab... |
8a3c97c3d9ba844181fc22230a44039150a0d999 | b309c1a36ee069acd19e2d20c32c1554be346f42 | /examples/basic_monosynth.py | 85bebe138924d872c3919b28b32335dc8deeff52 | [] | no_license | interstar/Gates-Of-Dawn | 31c2c19a8ae73cedc3c8a9e9277355658c0740c9 | 654ff5419c11da973cf2d09ca966db2e4d310080 | refs/heads/master | 2021-01-23T03:54:21.125440 | 2015-02-26T23:26:23 | 2015-02-26T23:26:23 | 9,902,592 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 630 | py | basic_monosynth.py | from god import *
def twin_osc(freq,id=1,diff=None) :
if diff is None : diff = slider("$0_twin_pitch_diff_%s"%id,0,20)
diff = add_(freq,diff)
return add_(
add_(phasor_(freq),-0.5),
add_(phasor_(diff),-0.5)
)
def basic_synth(src,id=1) :
return vol(
s... |
c271ec2b2089f2d154aa553216b49c46ad5c7b9d | 158c2655754e4b05b7b7fce1aef7acc0b26db10c | /plant_gallery/migrations/0001_initial.py | ebc081f2f3bfd36938176e38d08c76b17398ebc0 | [] | no_license | plantonmars/plant-life | 984fc35d1d7f95d036b77cd5baf7e72483494e0d | 99b53470f90f4c2e565f1832f8a6c63c23fdc481 | refs/heads/master | 2021-09-23T18:55:54.567727 | 2020-03-11T19:14:44 | 2020-03-11T19:14:44 | 246,660,158 | 0 | 0 | null | 2021-09-22T18:43:26 | 2020-03-11T19:18:45 | Python | UTF-8 | Python | false | false | 1,545 | py | 0001_initial.py | # Generated by Django 3.0.3 on 2020-02-22 17:14
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Lighting',
fields=[
... |
22397964fccef5f1f0060338b0bdd7e7ee37d2ed | 010279e2ba272d09e9d2c4e903722e5faba2cf7a | /contrib/python/Pillow/py3/PIL/IcoImagePlugin.py | a188f8fdcea46e5cb9423a3c4572d88d93890fc6 | [
"Apache-2.0",
"LicenseRef-scancode-warranty-disclaimer",
"LicenseRef-scancode-other-permissive",
"HPND"
] | permissive | catboost/catboost | 854c1a1f439a96f1ae6b48e16644be20aa04dba2 | f5042e35b945aded77b23470ead62d7eacefde92 | refs/heads/master | 2023-09-01T12:14:14.174108 | 2023-09-01T10:01:01 | 2023-09-01T10:22:12 | 97,556,265 | 8,012 | 1,425 | Apache-2.0 | 2023-09-11T03:32:32 | 2017-07-18T05:29:04 | Python | UTF-8 | Python | false | false | 11,622 | py | IcoImagePlugin.py | #
# The Python Imaging Library.
# $Id$
#
# Windows Icon support for PIL
#
# History:
# 96-05-27 fl Created
#
# Copyright (c) Secret Labs AB 1997.
# Copyright (c) Fredrik Lundh 1996.
#
# See the README file for information on usage and redistribution.
#
# This plugin is a refactored version of Win32IconImageP... |
54265dbaac725bf7518110f41dcfc8ec8678d401 | d11eddfe4a0993a5dded911956573b0577d73ffc | /code/pdbatom.py | 3e79acdeb93313cfbbdc60d525f41ae73648b9f8 | [] | no_license | doxeylab/evoclust3d | a5d1defd6f3ae4e1b6b02a389f6d5831afb88465 | 2ce0fa1d86cada095d218f4fc7e19432961a2169 | refs/heads/master | 2021-07-09T21:46:27.279576 | 2016-11-06T17:43:38 | 2016-11-06T17:43:38 | 56,700,261 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 2,958 | py | pdbatom.py | ####################################################################################################
# #
# PROJECT Protein Adaptation #
# CL... |
fd3ba7732bd73c028d8b453e9a0aef809a619dcf | 255e19ddc1bcde0d3d4fe70e01cec9bb724979c9 | /dockerized-gists/5194475/snippet.py | 2317a745d654b2ec5663f667e8f5bc536b49dacb | [
"MIT"
] | permissive | gistable/gistable | 26c1e909928ec463026811f69b61619b62f14721 | 665d39a2bd82543d5196555f0801ef8fd4a3ee48 | refs/heads/master | 2023-02-17T21:33:55.558398 | 2023-02-11T18:20:10 | 2023-02-11T18:20:10 | 119,861,038 | 76 | 19 | null | 2020-07-26T03:14:55 | 2018-02-01T16:19:24 | Python | UTF-8 | Python | false | false | 1,989 | py | snippet.py | import cssutils
from xml.sax import saxutils
from lxml.html import tostring, fromstring, clean
from lxml import etree
import logging
class Cleaner(clean.Cleaner):
def clean_html(self, html):
if not isinstance(html, unicode):
raise ValueError('We only support cleaning unicode HTML fragments')
... |
375a32ca50b114688fe96f5efbb3b87de646815c | a1730d0ff534159077a7413402356aaa0f02993f | /SVM/SVM.py | 5eae4dbb189c963433347c393de1aa76d4a467f9 | [
"MIT"
] | permissive | ripplesaround/ML4E | d4e5e88704a19fea3740e065147af8212980bbc1 | 29800f94e48d46548a3ca476711ad0adfee8a10a | refs/heads/master | 2021-03-29T10:54:16.197278 | 2020-06-25T16:53:18 | 2020-06-25T16:53:18 | 247,947,634 | 0 | 0 | null | 2020-06-25T16:53:19 | 2020-03-17T11:02:24 | Python | UTF-8 | Python | false | false | 20,230 | py | SVM.py | # coding=utf-8
'''
Author: ripples
Email: ripplesaround@sina.com
date: 2020/3/25 13:38
desc: 采用一对一法
'''
# done 单个svm训练
# done 训练全部的，这个要在svm_oago里面写 svm_oago 训练成功，值得注意的是决策便捷的点
# done 超级绘图
import sys
import copy
import data_process
import numpy as np
import matplotlib.pyplot as plt
import cvxopt.solvers
import loggin... |
332f2465fbec51f5a704582c27519b6bc0848f34 | 02550c8d7fc6b612bb56e5aa657a89b3fa4eb649 | /grab_quadrant.py | 8ff5eaca042ef175f2a1441d6421076816803bcb | [] | no_license | jwcunha/test | 05ea0e27a8271641190f2d1489c4d473c491a1dc | 120cd98253cf3fb2b3dac24541eda070b02ef9a4 | refs/heads/master | 2020-06-01T03:58:24.921936 | 2013-03-08T22:18:16 | 2013-03-08T22:18:16 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,240 | py | grab_quadrant.py | """
Get the quadrant you want from a .csv of 384 well reader plate data.
"""
### Maybe it would make sense to make this a method on the cell object - get your quadrant?
from well_conversion import *
## The x96_to_384 function returns a tuple of the well and well index (e.g. 'B5',283).
## I am going to build a for lo... |
a9640b0af286472a0aa8b9d41b2c7c5f8e8d527c | 5c306febe1f135a38c858c44e284b6ba57886390 | /web/exceptions.py | f535fdf21e8315f52e4caed2678cffdb5196b765 | [] | no_license | trungdung22/exchange_analysis | 5a895447ac6d43a3b0555e5c95aebf11cbdaa443 | a0aa2ff43cece6180606d7a7ec44057c2e4050c0 | refs/heads/master | 2022-11-19T20:45:18.226335 | 2020-07-12T04:54:52 | 2020-07-12T04:54:52 | 277,562,698 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 789 | py | exceptions.py | # -*- coding: utf-8 -*-
class InternalServerError(Exception):
pass
class InvalidUsage(Exception):
pass
class SchemaValidationError(Exception):
pass
class UnauthorizedError(Exception):
pass
class ValidationError(Exception):
pass
errors = {
"InternalServerError": {
"message": "... |
d56dd93e22be2ad87d0ca9c73ffc41ef60a1ad87 | 71ace56c9b6d341517306699fff0635c66974c64 | /code_archive/dt_recons.py | 425f52c8faa1499763deb261a65871d788a1bf9f | [] | no_license | mwaskom/Fluid_NiPype | 2ad34118db14dc7582fd3b0c1a51d29c8399bf2f | 27bdad8e3e6ee5b552e5b3672166c2faecb73cf8 | refs/heads/master | 2023-08-24T06:17:59.578829 | 2011-10-06T00:44:48 | 2011-10-06T00:44:48 | 831,271 | 5 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,181 | py | dt_recons.py | """Preprocess dwi data for the subjects we've already unpacked"""
import os
import sys
import numpy as np
from glob import glob
data_dir = "/mindhive/gablab/fluid/Data"
diffniftis = glob(os.path.join(data_dir, "gf??/dwi/diffusion.nii.gz"))
subjects = [p.split("/")[-3] for p in diffniftis]
def get_dwi_dicom(subj):
... |
6403b300df3e4739206cefad3b9e88c75b6ea5a3 | 79e607a063a0989f5563efb6b65321e38336566d | /1-PythonBasics/Aula06_Compara_Total_Exercicios.py | 0b78e19005123e5a0e29e84e55731d0fd26539ac | [] | no_license | viniciuskurt/LetsCode-PracticalProjects | 9e9c583e7ce72d06d26bc85fb6ff8ce7dfdfce75 | c49a44f76c9fe1dcb6c7b5b45a25f296929f3608 | refs/heads/main | 2023-06-30T21:37:21.708093 | 2021-07-29T00:58:16 | 2021-07-29T00:58:16 | 382,719,785 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 292 | py | Aula06_Compara_Total_Exercicios.py | exercicios = int(input('Quantos exercícios de Python vc já fez?'))
if exercicios > 30:
print('Já está ficando profissional!')
elif exercicios > 20:
print('Tá indo bem, bora fazer mais alguns!')
elif exercicios > 10:
print('Vamos tirar o atraso?')
else:
print('Xiiii...') |
1db78b5cf62996537a459f560fd1ba38879bc335 | bd791abf29cb5566a6578d426222e702f7fe3992 | /Step3_cleanUpStep2Result.py | c8de850c9e4ecbcbf63a523daeaaab2b0f76cb85 | [] | no_license | willDDDD/FWD-summer-keywordextraction-workflow | 36a1cd2c807e4a3adfccb8ad868c1041b5cfa21d | fd057fa3ba5823e11def0cebe29040bd96f19362 | refs/heads/main | 2023-08-14T01:12:14.206220 | 2021-09-15T13:33:22 | 2021-09-15T13:33:22 | 402,090,753 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 652 | py | Step3_cleanUpStep2Result.py | # clean up the result from step2, excluding the terms including symbols
import json
with open(r'C:\Users\\Desktop\AutoPhrase.txt', 'r', encoding='utf-8') as file2: # AutoPhrase/models/DBLP/AutoPhrase.txt
res_ = file2.readlines()
e = ["\\", "~", "$", "_", "-", "*", ":"] #exclude terms incuding symbols
target2 = ... |
8a93a1c5853d5ce6ab8a4c9747667b23c6234ffb | 9203b339cb9084dfc5f451a91bca3afb4f2f4781 | /05-Atari(keras).py | b547cb39fcad5c0f73a9c9109610846c9b57fc5d | [] | no_license | hamxahbhatti/Reinforcement_Learning | 286c1c68a494b2a359dc19af4ada481a0cbd646a | bbc5d3fc160c880b4cdb5e6297b073cc41bc34a5 | refs/heads/master | 2023-06-27T17:01:24.577633 | 2021-07-26T09:10:40 | 2021-07-26T09:10:40 | 389,573,325 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,927 | py | 05-Atari(keras).py | import gym
import matplotlib.pyplot as plt
import cv2
import numpy as np
from keras.layers import Dense,Conv2D,Flatten,Dropout
import keras
from collections import namedtuple
import random
# from keras_preprocessing.image import
# env = gym.make('SpaceInvaders-ramNoFrameskip-v0')
env = gym.make('TimePilotNoFrameskip... |
0e95247a3f841512bb08d0cf1e042e5b7af29eea | 237fee08ea40f970a4263be0385656690d452737 | /Homework1.py | c3bc54bebf355ac4d2411855c1a0d4eb61ad35b9 | [] | no_license | santithegreat/UniClass | 0efef34c2f323586d2efc73498f331b357733fc9 | bb78b13309d40922d15ba1e04e4d3fcd13b648a7 | refs/heads/master | 2020-07-23T09:15:45.837937 | 2019-09-17T09:53:30 | 2019-09-17T09:53:30 | 207,510,605 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 371 | py | Homework1.py | import math
name = input("What is your name: ")
print("Hello " + name)
number1 = int(input("write the first number: "))
number2 = int(input("write the second number: "))
print("The division of both numbers is: "+str(math.ceil(number1/number2)))
radius = int(input("Please enter radius of a circle: "))
print("The surfa... |
0c1461ae4b359c5cb603d2a61adfed00985da219 | a0568f7328cd8334ebf98d947458ae22aee1fcfa | /test/test_memoryindex.py | 6822c12b83afef8148f9ae29e09af998e6275446 | [] | no_license | Vardominator/search-engine | 12ab3835941f84a5f59c037cda1d4b061e1e1ce8 | 2a214b69932df26d45fd49ab0ebb4b00566424c2 | refs/heads/master | 2021-09-07T07:58:37.838969 | 2018-02-19T18:01:37 | 2018-02-19T18:01:37 | 103,597,348 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,760 | py | test_memoryindex.py | """Unit Tests for memoryindex file"""
import os
import json
import collections
import memoryindex
from unittest.mock import patch, mock_open
def process_documents():
"""Helper function to pre-process documents"""
docs = []
docs_dir = 'test/test_docs'
for root,dirs,files in os.walk(docs_dir):
f... |
b75db715621a89377357468089c8f2df97b021b7 | cf41bd8e03b7a9f29e441426df6275a01dd91b77 | /2019/fbctf/hr-console/sol.py | 73bb551c499a538bfaae685977d207e975ccbfdc | [] | no_license | daoduythuan/ctfs | 8939890ec39c805c4ae9a02e6e8453dfc6f3118d | 50b2408f3bd85cf319b2d95f49db1b1eea4e3be2 | refs/heads/master | 2023-01-24T10:44:38.780968 | 2020-10-11T09:21:04 | 2020-10-11T09:21:04 | 141,783,907 | 0 | 1 | null | 2023-01-11T01:06:36 | 2018-07-21T05:26:16 | PHP | UTF-8 | Python | false | false | 113 | py | sol.py | url = 'https://github.com/PDKT-Team/ctf/blob/master/fbctf2019/hr-admin-module/README.md'
print 'hr_admin_module'
|
b12a3593c049245c4d4765665275afbddd3cffb1 | 34ddb81af1be500841ba108775b63ff53afbb19e | /src/dilap/BROKEN/toremove/tform.py | ada3401aeb61d1e52a23b026cdd31c3e3b93b505 | [
"MIT"
] | permissive | W3SS/dilapidator | 0f84ce1dc5b70a3b826934d81c08a853bf98c6b3 | 323595364b934ea5d9f979603c0f49da8640d41f | refs/heads/master | 2021-06-21T07:08:55.461605 | 2017-07-04T14:33:23 | 2017-07-04T14:33:23 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,427 | py | tform.py | import dilap.core.base as db
import dilap.core.vector as dpv
import dilap.core.quaternion as dpq
__doc__ = '''A transform class which supports hierarchy'''
class tform(db.base):
'''tform represents a transform with
position, rotation, scale, parent, and children'''
def __str__(self,b = 0):
strr ... |
300712bee9718e05179cb5bee9e20d9f1eb80cb7 | e9f7af56a6b6e7dee23c0aa4d49fe3b4bff2ae38 | /script/text_generation.py | 7072b3b8bd1826e7590aa026b78a9183e6c61910 | [] | no_license | abevieiramota/challenge-webnlg | ee88d56f2a2c1622e3b8ff106683517f5f9a1fd0 | 42da2068d6356820d4811081f3ad76552dd74033 | refs/heads/master | 2021-06-16T11:46:53.555897 | 2019-07-12T13:56:57 | 2019-07-12T13:56:57 | 133,352,865 | 5 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,418 | py | text_generation.py | class TextGenerator():
def __init__(self,
content_selection_model,
sentence_generation_model,
lexicalization_model,
discourse_structuring_model,
sentence_aggregation_model):
self.content_selection_model = content_selec... |
1e94658f664373c905bc32a8e1d14299b082de53 | dc9b0f8e487b5e198ff648f94071ab1cea4c39ad | /apps/league/static.py | 031b10a7b6c7e096c573b8ac5b94b66aebd83578 | [] | no_license | mehdi1361/backend_aghigh | aadc37388c0606f20804cbab14f2171d495b93f3 | a95addbca0b25b99da920721c078f1c01466f09b | refs/heads/master | 2020-06-12T00:39:06.272492 | 2019-07-11T20:46:26 | 2019-07-11T20:46:26 | 194,138,167 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,453 | py | static.py | MIN_POINT_CITIZEN = -1
MIN_POINT_PROVINCIAL = -1
# MIN_POINT_NATIONALITY = 50000
MAX_SAME_POINT = 50
MIN_SAME_POINT = 50
# bartarin haye keshvari hich farghi ba 50 madrese bartar nadarad
list_column_league_student = [
{
"title": "50 مدرسه برتر",
"query_type": "top_school",
"locked": False
... |