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#!/usr/bin/env python
#
# Author: GILLES Lionel aka topotam (@topotam77)
#
# Greetz : grenadine(@Greynardine), skar(@__skar), didakt(@inf0sec1), plissken, pixis(@HackAndDo), shutd0wn(@ _nwodtuhs)
# "Most of" the code stolen from dementor.py from @3xocyte ;)
import sys
import argparse
from impacket import system_errors
from impacket.dcerpc.v5 import transport
from impacket.dcerpc.v5.ndr import NDRCALL, NDRSTRUCT
from impacket.dcerpc.v5.dtypes import UUID, ULONG, WSTR, DWORD, NULL, BOOL, UCHAR, PCHAR, RPC_SID, LPWSTR
from impacket.dcerpc.v5.rpcrt import DCERPCException
from impacket.uuid import uuidtup_to_bin
show_banner = '''
___ _ _ _ ___ _
| _ \ ___ | |_ (_) | |_ | _ \ ___ | |_ __ _ _ __
| _/ / -_) | _| | | | _| | _/ / _ \ | _| / _` | | ' \
_|_|_ \___| _\__| _|_|_ _\__| _|_|_ \___/ _\__| \__,_| |_|_|_|
_| """ |_|"""""|_|"""""|_|"""""|_|"""""|_| """ |_|"""""|_|"""""|_|"""""|_|"""""|
"`-0-0-'"`-0-0-'"`-0-0-'"`-0-0-'"`-0-0-'"`-0-0-'"`-0-0-'"`-0-0-'"`-0-0-'"`-0-0-'
PoC to elicit machine account authentication via some MS-EFSRPC functions
by topotam (@topotam77)
Inspired by @tifkin_ & @elad_shamir previous work on MS-RPRN
'''
################################################################################
# STRUCTURES
################################################################################
################################################################################
# RPC CALLS
################################################################################
#class EfsRpcQueryProtectors(NDRCALL):
# opnum = 21
# structure = (
# ('FileName', WSTR),
# ('ppProtectorList', PENCRYPTION_PROTECTOR_LIST),
# )
#class EfsRpcQueryProtectorsResponse(NDRCALL):
# structure = (
# ('ErrorCode', ULONG),
# )
################################################################################
# OPNUMs and their corresponding structures
################################################################################
OPNUMS = {
0 : (EfsRpcOpenFileRaw, EfsRpcOpenFileRawResponse),
4 : (EfsRpcEncryptFileSrv, EfsRpcEncryptFileSrvResponse),
5 : (EfsRpcDecryptFileSrv, EfsRpcDecryptFileSrvResponse),
6 : (EfsRpcQueryUsersOnFile, EfsRpcQueryUsersOnFileResponse),
7 : (EfsRpcQueryRecoveryAgents, EfsRpcQueryRecoveryAgentsResponse),
8 : (EfsRpcRemoveUsersFromFile, EfsRpcRemoveUsersFromFileResponse),
9 : (EfsRpcAddUsersToFile, EfsRpcAddUsersToFileResponse),
12 : (EfsRpcFileKeyInfo, EfsRpcFileKeyInfoResponse),
13 : (EfsRpcDuplicateEncryptionInfoFile, EfsRpcDuplicateEncryptionInfoFileResponse),
15 : (EfsRpcAddUsersToFileEx, EfsRpcAddUsersToFileExResponse),
16 : (EfsRpcFileKeyInfoEx, EfsRpcFileKeyInfoExResponse),
18 : (EfsRpcGetEncryptedFileMetadata, EfsRpcGetEncryptedFileMetadataResponse),
19 : (EfsRpcSetEncryptedFileMetadata, EfsRpcSetEncryptedFileMetadataResponse),
21 : (EfsRpcEncryptFileExSrv, EfsRpcEncryptFileExSrvResponse),
# 22 : (EfsRpcQueryProtectors, EfsRpcQueryProtectorsResponse),
}
if __name__ == '__main__':
main()
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3419,
198
] | 2.1752 | 1,621 |
import torch
from torch import nn
import torchvision.transforms as transforms
import matplotlib.pyplot as plt
from data_loader import data_load
from torch.autograd import Variable
import numpy as np
# torch.manual_seed(1) # reproducible
# Hyper Parameters
EPOCH = 20 # train the training data n times, to save time, we just train 1 epoch
BATCH_SIZE = 6400
TIME_STEP = 4 # rnn time step / image height
INPUT_SIZE = 4 # rnn input size / image width
global LR;
LR = 0.001 # learning rate\
if __name__ == '__main__':
main()
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220,
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] | 2.705607 | 214 |
# pylint: disable = attribute-defined-outside-init, too-few-public-methods
"""Module for serializing IIIF Annotation Lists"""
import json
from django.core.serializers import serialize
from django.core.serializers.base import SerializerDoesNotExist
from .base import Serializer as JSONSerializer
from django.contrib.auth import get_user_model
from django.db.models import Q
import config.settings.local as settings
USER = get_user_model()
class Serializer(JSONSerializer):
"""
IIIF V2 Annotation List https://iiif.io/api/presentation/2.1/#annotation-list
"""
class Deserializer:
"""Deserialize IIIF Annotation List
:raises SerializerDoesNotExist: Not yet implemented.
"""
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from .tranco import Tranco | [
6738,
764,
2213,
47699,
1330,
833,
47699
] | 3.714286 | 7 |
"""
This function implements 1d Monte Carlo integration
"""
import numpy as np
def monte_1d(x, f, trials):
"""
Compute a 1D definite integral
Parameters
----------
f : function
User defined function.
x : numpy array
Integration domain.
trials : integer
Total number of generated random samples.
Returns
-------
I : float
Integration result.
"""
a = x[0]
b = x[1]
d = (b - a) * np.random.rand(1, trials) + a
y = f(d)
print('Test addition')
return (b-a) * np.sum(y) / trials
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7,
88,
8,
1220,
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198
] | 2.42616 | 237 |
import os
import tensorflow.compat.v1 as tf
import time
import numpy as np
# np.random._bit_generator = np.random.bit_generator
from augment import augment
| [
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from keras_retinanet.bin.train import train_main
from keras_retinanet import models
import glob
import numpy as np
from sklearn.metrics import f1_score
import os
if __name__ == '__main__':
os.chdir("../")
model_name = 'resnet101'
train_main(0, None, ["csv", "data/trn1.csv", "data/classes.csv",
"--val-annotations", "data/val1.csv"])
# model_name = 'resnet50'
# h5s = glob.glob("run1_resnet_50/*.h5")
# results = []
# best_f1 = 0
# for h5 in h5s:
# y_true, y_pred = train_main(1, h5, ["csv", "data/trn1.csv", "data/classes.csv",
# "--val-annotations", "data/val1.csv"])
# f1_max = 0
# th_max = 0
# pr_cnt_max = 0
# for th in np.linspace(0.0, 1.0, num=21):
# for pr_cnt in range(1, 7):
# y_pred_new = []
# for prd in y_pred:
# ref_p = prd[(np.argsort(prd))[-pr_cnt]]
# dec = (prd >= ref_p) & (prd >= th)
# y_pred_new.append(dec)
# f1_cur = f1_score(y_true, np.array(y_pred_new, dtype='int'), average='macro')
# if f1_cur >= f1_max:
# f1_max = f1_cur
# th_max = th
# pr_cnt_max = pr_cnt
# results.append((h5, th_max, pr_cnt_max, f1_max))
# print([h5, th_max, pr_cnt_max, f1_max])
# if f1_max >= best_f1:
# best_f1 = f1_max
# print("current best = ", best_f1)
#
# results = sorted(results, key=lambda x:x[-1], reverse=True)
# for r in results:
# print(r)
#[('snapshots\\resnet50_csv_44.h5', 0.05, 0.44536340852130324), ('snapshots\\resnet50_csv_48.h5', 0.05, 0.445054945054945), ('snapshots\\resnet50_csv_34.h5', 0.05, 0.437181855500821), ('snapshots\\resnet50_csv_49.h5', 0.0, 0.4327235488525811), ('snapshots\\resnet50_csv_45.h5', 0.05, 0.42369674185463657), ('snapshots\\resnet50_csv_28.h5', 0.0, 0.41797258297258294), ('snapshots\\resnet50_csv_22.h5', 0.1, 0.40782312925170067), ('snapshots\\resnet50_csv_30.h5', 0.05, 0.40745030745030747), ('snapshots\\resnet50_csv_50.h5', 0.1, 0.4013157894736842), ('snapshots\\resnet50_csv_37.h5', 0.0, 0.39436633627810097), ('snapshots\\resnet50_csv_47.h5', 0.0, 0.3908092403628118), ('snapshots\\resnet50_csv_41.h5', 0.2, 0.38839285714285715), ('snapshots\\resnet50_csv_35.h5', 0.15000000000000002, 0.38822228496141536), ('snapshots\\resnet50_csv_36.h5', 0.1, 0.38399981614267326), ('snapshots\\resnet50_csv_43.h5', 0.05, 0.3828025149453721), ('snapshots\\resnet50_csv_17.h5', 0.15000000000000002, 0.3746598639455782), ('snapshots\\resnet50_csv_21.h5', 0.05, 0.37316799237981496), ('snapshots\\resnet50_csv_29.h5', 0.0, 0.3672226582940869), ('snapshots\\resnet50_csv_32.h5', 0.1, 0.3669642857142857), ('snapshots\\resnet50_csv_39.h5', 0.05, 0.3659983291562239), ('snapshots\\resnet50_csv_33.h5', 0.05, 0.36450650157546705), ('snapshots\\resnet50_csv_46.h5', 0.1, 0.3637418137418137), ('snapshots\\resnet50_csv_42.h5', 0.0, 0.3635427827546054), ('snapshots\\resnet50_csv_25.h5', 0.05, 0.36262793405650545), ('snapshots\\resnet50_csv_11.h5', 0.05, 0.3579434337837699), ('snapshots\\resnet50_csv_27.h5', 0.05, 0.3495562586818953), ('snapshots\\resnet50_csv_40.h5', 0.0, 0.3492804814233386), ('snapshots\\resnet50_csv_31.h5', 0.05, 0.348015873015873), ('snapshots\\resnet50_csv_38.h5', 0.0, 0.3360606404724052), ('snapshots\\resnet50_csv_18.h5', 0.05, 0.3308032303830623), ('snapshots\\resnet50_csv_16.h5', 0.1, 0.32845804988662136), ('snapshots\\resnet50_csv_14.h5', 0.05, 0.32814818234986304), ('snapshots\\resnet50_csv_26.h5', 0.1, 0.3254329004329004), ('snapshots\\resnet50_csv_19.h5', 0.05, 0.3204281712685074), ('snapshots\\resnet50_csv_15.h5', 0.0, 0.3152310924369747), ('snapshots\\resnet50_csv_20.h5', 0.1, 0.29930213464696226), ('snapshots\\resnet50_csv_10.h5', 0.05, 0.2901406742663109), ('snapshots\\resnet50_csv_13.h5', 0.1, 0.27293083900226756), ('snapshots\\resnet50_csv_24.h5', 0.1, 0.2708245722531437), ('snapshots\\resnet50_csv_12.h5', 0.1, 0.2673262853528508), ('snapshots\\resnet50_csv_23.h5', 0.1, 0.2638221955448846), ('snapshots\\resnet50_csv_04.h5', 0.25, 0.24969474969474967), ('snapshots\\resnet50_csv_09.h5', 0.05, 0.24739891704177416), ('snapshots\\resnet50_csv_05.h5', 0.2, 0.24424342105263158), ('snapshots\\resnet50_csv_06.h5', 0.15000000000000002, 0.23761446886446885), ('snapshots\\resnet50_csv_07.h5', 0.15000000000000002, 0.233078231292517), ('snapshots\\resnet50_csv_03.h5', 0.15000000000000002, 0.21793958962895502), ('snapshots\\resnet50_csv_01.h5', 0.05, 0.19410188317751345), ('snapshots\\resnet50_csv_02.h5', 0.05, 0.19065212731754366), ('snapshots\\resnet50_csv_08.h5', 0.15000000000000002, 0.18758503401360543)] | [
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220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
875,
796,
357,
1050,
67,
18189,
1006,
62,
79,
8,
1222,
357,
1050,
67,
18189,
294,
8,
198,
220,
220,
220,
1303,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
331,
62,
28764,
62,
3605,
13,
33295,
7,
12501,
8,
198,
220,
220,
220,
1303,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
277,
16,
62,
22019,
796,
277,
16,
62,
26675,
7,
88,
62,
7942,
11,
45941,
13,
18747,
7,
88,
62,
28764,
62,
3605,
11,
288,
4906,
11639,
600,
33809,
2811,
11639,
20285,
305,
11537,
198,
220,
220,
220,
1303,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
611,
277,
16,
62,
22019,
18189,
277,
16,
62,
9806,
25,
198,
220,
220,
220,
1303,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
277,
16,
62,
9806,
796,
277,
16,
62,
22019,
198,
220,
220,
220,
1303,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
294,
62,
9806,
796,
294,
198,
220,
220,
220,
1303,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
778,
62,
66,
429,
62,
9806,
796,
778,
62,
66,
429,
198,
220,
220,
220,
1303,
220,
220,
220,
220,
2482,
13,
33295,
19510,
71,
20,
11,
294,
62,
9806,
11,
778,
62,
66,
429,
62,
9806,
11,
277,
16,
62,
9806,
4008,
198,
220,
220,
220,
1303,
220,
220,
220,
220,
3601,
26933,
71,
20,
11,
294,
62,
9806,
11,
778,
62,
66,
429,
62,
9806,
11,
277,
16,
62,
9806,
12962,
198,
220,
220,
220,
1303,
220,
220,
220,
220,
611,
277,
16,
62,
9806,
18189,
1266,
62,
69,
16,
25,
198,
220,
220,
220,
1303,
220,
220,
220,
220,
220,
220,
220,
220,
1266,
62,
69,
16,
796,
277,
16,
62,
9806,
198,
220,
220,
220,
1303,
220,
220,
220,
220,
3601,
7203,
14421,
1266,
796,
33172,
1266,
62,
69,
16,
8,
198,
220,
220,
220,
1303,
198,
220,
220,
220,
1303,
2482,
796,
23243,
7,
43420,
11,
1994,
28,
50033,
2124,
25,
87,
58,
12,
16,
4357,
9575,
28,
17821,
8,
198,
220,
220,
220,
1303,
329,
374,
287,
2482,
25,
198,
220,
220,
220,
1303,
220,
220,
220,
220,
3601,
7,
81,
8,
198,
198,
2,
58,
10786,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
2598,
13,
71,
20,
3256,
657,
13,
2713,
11,
657,
13,
43489,
2623,
23601,
5332,
2481,
22572,
1731,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
2780,
13,
71,
20,
3256,
657,
13,
2713,
11,
657,
13,
2598,
31654,
2920,
17885,
44966,
2231,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
2682,
13,
71,
20,
3256,
657,
13,
2713,
11,
657,
13,
43284,
1507,
1507,
2816,
4059,
23,
2481,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
2920,
13,
71,
20,
3256,
657,
13,
15,
11,
657,
13,
3559,
1983,
22370,
2780,
5332,
25600,
1157,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
2231,
13,
71,
20,
3256,
657,
13,
2713,
11,
657,
13,
43356,
3388,
45385,
21652,
3510,
2623,
3553,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
2078,
13,
71,
20,
3256,
657,
13,
15,
11,
657,
13,
38547,
5607,
25600,
26561,
25600,
27696,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
1828,
13,
71,
20,
3256,
657,
13,
16,
11,
657,
13,
1821,
3695,
1954,
18741,
1495,
1558,
405,
3134,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
1270,
13,
71,
20,
3256,
657,
13,
2713,
11,
657,
13,
1821,
4524,
1120,
1270,
4524,
1120,
22996,
2857,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
1120,
13,
71,
20,
3256,
657,
13,
16,
11,
657,
13,
21844,
27936,
40401,
2857,
27412,
3682,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
2718,
13,
71,
20,
3256,
657,
13,
15,
11,
657,
13,
34626,
32459,
29211,
25870,
3064,
5607,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
2857,
13,
71,
20,
3256,
657,
13,
15,
11,
657,
13,
25964,
34583,
16102,
2623,
2078,
16817,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
3901,
13,
71,
20,
3256,
657,
13,
17,
11,
657,
13,
30460,
2670,
2078,
3553,
1415,
2078,
3553,
1314,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
2327,
13,
71,
20,
3256,
657,
13,
1314,
8269,
10535,
17,
11,
657,
13,
30460,
1828,
23815,
37747,
1415,
1314,
2623,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
2623,
13,
71,
20,
3256,
657,
13,
16,
11,
657,
13,
2548,
28771,
4089,
1433,
1415,
2075,
4790,
2075,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
3559,
13,
71,
20,
3256,
657,
13,
2713,
11,
657,
13,
2548,
21033,
1495,
19442,
2231,
2718,
2481,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
1558,
13,
71,
20,
3256,
657,
13,
1314,
8269,
10535,
17,
11,
657,
13,
31020,
2996,
49087,
2670,
2231,
3553,
6469,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
2481,
13,
71,
20,
3256,
657,
13,
2713,
11,
657,
13,
34770,
21940,
2079,
1954,
43240,
1415,
4846,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
1959,
13,
71,
20,
3256,
657,
13,
15,
11,
657,
13,
27824,
1828,
2075,
3365,
1959,
26200,
3388,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
2624,
13,
71,
20,
3256,
657,
13,
16,
11,
657,
13,
2623,
3388,
2414,
2078,
3553,
1415,
2078,
3553,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
2670,
13,
71,
20,
3256,
657,
13,
2713,
11,
657,
13,
24760,
2079,
5999,
1959,
21599,
1828,
2670,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
2091,
13,
71,
20,
3256,
657,
13,
2713,
11,
657,
13,
26780,
1120,
2996,
25150,
2425,
3510,
34801,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
3510,
13,
71,
20,
3256,
657,
13,
16,
11,
657,
13,
2623,
31020,
1507,
1485,
4524,
1507,
19708,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
3682,
13,
71,
20,
3256,
657,
13,
15,
11,
657,
13,
2623,
32182,
25870,
1983,
4051,
1899,
4051,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
1495,
13,
71,
20,
3256,
657,
13,
2713,
11,
657,
13,
2623,
2075,
1983,
6052,
1821,
3980,
31654,
2231,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
1157,
13,
71,
20,
3256,
657,
13,
2713,
11,
657,
13,
2327,
3720,
47101,
2091,
3695,
32128,
2079,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
1983,
13,
71,
20,
3256,
657,
13,
2713,
11,
657,
13,
27371,
37864,
25600,
3104,
1507,
49649,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
1821,
13,
71,
20,
3256,
657,
13,
15,
11,
657,
13,
2682,
5892,
1795,
2780,
1415,
1954,
2091,
4521,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
3132,
13,
71,
20,
3256,
657,
13,
2713,
11,
657,
13,
28978,
486,
3365,
4790,
486,
3365,
4790,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
2548,
13,
71,
20,
3256,
657,
13,
15,
11,
657,
13,
2091,
1899,
1899,
31102,
2857,
1731,
37841,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
1507,
13,
71,
20,
3256,
657,
13,
2713,
11,
657,
13,
26073,
1795,
2624,
1270,
2548,
20548,
1954,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
1433,
13,
71,
20,
3256,
657,
13,
16,
11,
657,
13,
34256,
2231,
1795,
2920,
3459,
39380,
20809,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
1415,
13,
71,
20,
3256,
657,
13,
2713,
11,
657,
13,
34256,
18294,
1507,
1954,
2920,
4521,
21288,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
2075,
13,
71,
20,
3256,
657,
13,
16,
11,
657,
13,
26582,
3559,
1959,
405,
3559,
1959,
22914,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
1129,
13,
71,
20,
3256,
657,
13,
2713,
11,
657,
13,
18,
18638,
2078,
1558,
1065,
3104,
1120,
4524,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
1314,
13,
71,
20,
3256,
657,
13,
15,
11,
657,
13,
27936,
1954,
14454,
1731,
2623,
5607,
2857,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
1238,
13,
71,
20,
3256,
657,
13,
16,
11,
657,
13,
22579,
22709,
19880,
2414,
38205,
24909,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
940,
13,
71,
20,
3256,
657,
13,
2713,
11,
657,
13,
1959,
486,
1821,
3134,
42780,
5066,
14454,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
1485,
13,
71,
20,
3256,
657,
13,
16,
11,
657,
13,
1983,
1959,
21495,
2670,
405,
24909,
38219,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
1731,
13,
71,
20,
3256,
657,
13,
16,
11,
657,
13,
1983,
2919,
1731,
3553,
18182,
33638,
2718,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
1065,
13,
71,
20,
3256,
657,
13,
16,
11,
657,
13,
2075,
4790,
2075,
26279,
2327,
2078,
33042,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
1954,
13,
71,
20,
3256,
657,
13,
16,
11,
657,
13,
2075,
2548,
1828,
1129,
2816,
2598,
3459,
3510,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
3023,
13,
71,
20,
3256,
657,
13,
1495,
11,
657,
13,
21626,
3388,
2857,
2920,
3388,
2857,
2920,
3134,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
2931,
13,
71,
20,
3256,
657,
13,
2713,
11,
657,
13,
23753,
2670,
4531,
1558,
3023,
1558,
4524,
1433,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
2713,
13,
71,
20,
3256,
657,
13,
17,
11,
657,
13,
25707,
1731,
31575,
13348,
29558,
21273,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
3312,
13,
71,
20,
3256,
657,
13,
1314,
8269,
10535,
17,
11,
657,
13,
1954,
4304,
18444,
34427,
29173,
3104,
5332,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
2998,
13,
71,
20,
3256,
657,
13,
1314,
8269,
10535,
17,
11,
657,
13,
1954,
1270,
3695,
1954,
18741,
1495,
1558,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
3070,
13,
71,
20,
3256,
657,
13,
1314,
8269,
10535,
17,
11,
657,
13,
17,
21738,
2670,
3365,
4846,
2078,
3865,
35126,
828,
19203,
45380,
20910,
6852,
411,
3262,
1120,
62,
40664,
62,
486,
13,
71,
20,
3256,
657,
13,
2713,
11,
657,
13,
1129,
3901,
486,
3459,
34125,
2425,
1485,
2231,
828,
19203,
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13,
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11,
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13,
19782,
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828,
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] | 1.990814 | 2,395 |
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
from enum import Enum
__all__ = [
'IntegrationConnectorType',
'IntegrationMarketoConnectorOperator',
'IntegrationOperatorPropertiesKeys',
'IntegrationS3ConnectorOperator',
'IntegrationSalesforceConnectorOperator',
'IntegrationScheduledTriggerPropertiesDataPullMode',
'IntegrationServiceNowConnectorOperator',
'IntegrationTaskType',
'IntegrationTriggerType',
'IntegrationZendeskConnectorOperator',
'ObjectTypeFieldContentType',
'ObjectTypeKeyStandardIdentifiersItem',
]
class ObjectTypeFieldContentType(str, Enum):
"""
The content type of the field. Used for determining equality when searching.
"""
STRING = "STRING"
NUMBER = "NUMBER"
PHONE_NUMBER = "PHONE_NUMBER"
EMAIL_ADDRESS = "EMAIL_ADDRESS"
NAME = "NAME"
| [
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] | 2.98773 | 326 |
import numpy as np
import pickle
objects = ['cow', 'dog', 'person', 'horse', 'sheep', 'aeroplane', 'bird', 'bicycle', 'cat', 'motorbike', 'car']
for object_name in objects:
with open(object_name + '_part_separated_labels', 'rb') as f:
label = pickle.load(f)
with open(object_name + '_part_separated_bbx', 'rb') as f:
box = pickle.load(f)
with open(object_name + '_part_separated_masks', 'rb') as f:
mask = pickle.load(f)
with open(object_name + '_images', 'rb') as f:
o_images = pickle.load(f)
size = len(label)
train_split = int((75/100)*size)
validation_split = int((10/100)*size)
test_split = int((15/100)*size)
#train
with open(object_name+'_train_label', 'wb') as f:
pickle.dump(label[0:train_split], f)
with open(object_name+'_train_bbx', 'wb') as f:
pickle.dump(box[0:train_split], f)
with open(object_name+'_train_masks', 'wb') as f:
pickle.dump(mask[0:train_split], f)
with open(object_name+'_train_images', 'wb') as f:
pickle.dump(o_images[0:train_split], f)
#vaidation
with open(object_name+'_validation_label', 'wb') as f:
pickle.dump(label[train_split:train_split+validation_split], f)
with open(object_name+'_validation_bbx', 'wb') as f:
pickle.dump(box[train_split:train_split+validation_split], f)
with open(object_name+'_validation_masks', 'wb') as f:
pickle.dump(mask[train_split:train_split+validation_split], f)
with open(object_name+'_validation_images', 'wb') as f:
pickle.dump(o_images[train_split:train_split+validation_split], f)
#test
with open(object_name+'_test_label', 'wb') as f:
pickle.dump(label[train_split+validation_split::], f)
with open(object_name+'_test_bbx', 'wb') as f:
pickle.dump(box[train_split+validation_split::], f)
with open(object_name+'_test_masks', 'wb') as f:
pickle.dump(mask[train_split+validation_split::], f)
with open(object_name+'_test_images', 'wb') as f:
pickle.dump(o_images[train_split+validation_split::], f)
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] | 2.264801 | 929 |
# Copyright (c) 2012 OpenStack Foundation.
# All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
from neutron_lib.api.definitions import provider_net
from neutron_lib.api import extensions
from neutron_lib.api import validators
from neutron_lib import exceptions as n_exc
from neutron._i18n import _
def _raise_if_updates_provider_attributes(attrs):
"""Raise exception if provider attributes are present.
This method is used for plugins that do not support
updating provider networks.
"""
if any(validators.is_attr_set(attrs.get(a))
for a in provider_net.ATTRIBUTES):
msg = _("Plugin does not support updating provider attributes")
raise n_exc.InvalidInput(error_message=msg)
class Providernet(extensions.ExtensionDescriptor):
"""Extension class supporting provider networks.
This class is used by neutron's extension framework to make
metadata about the provider network extension available to
clients. No new resources are defined by this extension. Instead,
the existing network resource's request and response messages are
extended with attributes in the provider namespace.
With admin rights, network dictionaries returned will also include
provider attributes.
"""
@classmethod
@classmethod
@classmethod
@classmethod
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] | 3.43956 | 546 |
import pytest
import asyncio
import os
import sys
# Workaround so we don't have to create a setup.py file for the project and
# install an editable version
sys.path.append(os.path.join(os.path.dirname(__file__), os.pardir))
from essential_cosmic.app import make_app
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] | 3.202381 | 84 |
# Copyright (c) 2009 The Foundry Visionmongers Ltd. All Rights Reserved.
import nuke
import os, re, sys, math, time
from nukescripts import execute_panel
from nukescripts import panels
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] | 3.381818 | 55 |
# Copyright (C) 2013 Evan Ochsner
#
# This program is free software; you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by the
# Free Software Foundation; either version 2 of the License, or (at your
# option) any later version.
#
# This program is distributed in the hope that it will be useful, but
# WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General
# Public License for more details.
#
# You should have received a copy of the GNU General Public License along
# with this program; if not, write to the Free Software Foundation, Inc.,
# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
"""
A collection of routines to manage Condor workflows (DAGs).
"""
import os, sys
import numpy as np
from time import time
from hashlib import md5
from glue import pipeline
__author__ = "Evan Ochsner <[email protected]>, Chris Pankow <[email protected]>"
# Taken from
# http://pythonadventures.wordpress.com/2011/03/13/equivalent-of-the-which-command-in-python/
def generate_job_id():
"""
Generate a unique md5 hash for use as a job ID.
Borrowed and modified from the LAL code in glue/glue/pipeline.py
"""
t = str( int( time() * 1000 ) )
r = str( int( np.random.random() * 100000000000000000 ) )
return md5(t + r).hexdigest()
# From https://github.com/lscsoft/lalsuite/blob/master/lalinference/python/lalinference/lalinference_pipe_utils.py
def write_integrate_likelihood_extrinsic_grid_sub(tag='integrate', exe=None, log_dir=None, ncopies=1, **kwargs):
"""
Write a submit file for launching jobs to marginalize the likelihood over
extrinsic parameters.
Like the other case (below), but modified to use the sim_xml
and loop over 'event'
Inputs:
- 'tag' is a string to specify the base name of output files. The output
submit file will be named tag.sub, and the jobs will write their
output to tag-ID.out, tag-ID.err, tag.log, where 'ID' is a unique
identifier for each instance of a job run from the sub file.
- 'cache' is the path to a cache file which gives the location of the
data to be analyzed.
- 'sim' is the path to the XML file with the grid
- 'channelH1/L1/V1' is the channel name to be read for each of the
H1, L1 and V1 detectors.
- 'psdH1/L1/V1' is the path to an XML file specifying the PSD of
each of the H1, L1, V1 detectors.
- 'ncopies' is the number of runs with identical input parameters to
submit per condor 'cluster'
Outputs:
- An instance of the CondorDAGJob that was generated for ILE
"""
assert len(kwargs["psd_file"]) == len(kwargs["channel_name"])
exe = exe or which("integrate_likelihood_extrinsic")
ile_job = pipeline.CondorDAGJob(universe="vanilla", executable=exe)
# This is a hack since CondorDAGJob hides the queue property
ile_job._CondorJob__queue = ncopies
ile_sub_name = tag + '.sub'
ile_job.set_sub_file(ile_sub_name)
#
# Logging options
#
uniq_str = "$(macromassid)-$(cluster)-$(process)"
ile_job.set_log_file("%s%s-%s.log" % (log_dir, tag, uniq_str))
ile_job.set_stderr_file("%s%s-%s.err" % (log_dir, tag, uniq_str))
ile_job.set_stdout_file("%s%s-%s.out" % (log_dir, tag, uniq_str))
if "output_file" in kwargs and kwargs["output_file"] is not None:
#
# Need to modify the output file so it's unique
#
ofname = kwargs["output_file"].split(".")
ofname, ext = ofname[0], ".".join(ofname[1:])
ile_job.add_file_opt("output-file", "%s-%s.%s" % (ofname, uniq_str, ext))
del kwargs["output_file"]
if "save_samples" in kwargs and kwargs["save_samples"] is True:
ile_job.add_opt("save-samples", None)
del kwargs["save_samples"]
#
# Add normal arguments
# FIXME: Get valid options from a module
#
for opt, param in list(kwargs.items()):
if isinstance(param, list) or isinstance(param, tuple):
# NOTE: Hack to get around multiple instances of the same option
for p in param:
ile_job.add_arg("--%s %s" % (opt.replace("_", "-"), str(p)))
elif param is True:
ile_job.add_opt(opt.replace("_", "-"), None)
elif param is None or param is False:
continue
else:
ile_job.add_opt(opt.replace("_", "-"), str(param))
#
# Macro based options
#
ile_job.add_var_opt("event")
ile_job.add_condor_cmd('getenv', 'True')
ile_job.add_condor_cmd('request_memory', '2048')
try:
ile_job.add_condor_cmd('accounting_group',os.environ['LIGO_ACCOUNTING'])
ile_job.add_condor_cmd('accounting_group_user',os.environ['LIGO_USER_NAME'])
except:
print(" LIGO accounting information not available. You must add this manually to integrate.sub !")
###
### SUGGESTION FROM STUART (for later)
# request_memory = ifthenelse( (LastHoldReasonCode=!=34 && LastHoldReasonCode=!=26), InitialRequestMemory, int(1.5 * NumJobStarts * MemoryUsage) )
# periodic_release = ((HoldReasonCode =?= 34) || (HoldReasonCode =?= 26))
# This will automatically release a job that is put on hold for using too much memory with a 50% increased memory request each tim.e
return ile_job, ile_sub_name
# FIXME: Keep in sync with arguments of integrate_likelihood_extrinsic
def write_integrate_likelihood_extrinsic_sub(tag='integrate', exe=None, log_dir=None, ncopies=1, **kwargs):
"""
Write a submit file for launching jobs to marginalize the likelihood over
extrinsic parameters.
Inputs:
- 'tag' is a string to specify the base name of output files. The output
submit file will be named tag.sub, and the jobs will write their
output to tag-ID.out, tag-ID.err, tag.log, where 'ID' is a unique
identifier for each instance of a job run from the sub file.
- 'cache' is the path to a cache file which gives the location of the
data to be analyzed.
- 'coinc' is the path to a coincident XML file, from which masses and
times will be drawn FIXME: remove this once it's no longer needed.
- 'channelH1/L1/V1' is the channel name to be read for each of the
H1, L1 and V1 detectors.
- 'psdH1/L1/V1' is the path to an XML file specifying the PSD of
each of the H1, L1, V1 detectors.
- 'ncopies' is the number of runs with identical input parameters to
submit per condor 'cluster'
Outputs:
- An instance of the CondorDAGJob that was generated for ILE
"""
assert len(kwargs["psd_file"]) == len(kwargs["channel_name"])
exe = exe or which("integrate_likelihood_extrinsic")
ile_job = pipeline.CondorDAGJob(universe="vanilla", executable=exe)
# This is a hack since CondorDAGJob hides the queue property
ile_job._CondorJob__queue = ncopies
ile_sub_name = tag + '.sub'
ile_job.set_sub_file(ile_sub_name)
#
# Logging options
#
uniq_str = "$(macromassid)-$(cluster)-$(process)"
ile_job.set_log_file("%s%s-%s.log" % (log_dir, tag, uniq_str))
ile_job.set_stderr_file("%s%s-%s.err" % (log_dir, tag, uniq_str))
ile_job.set_stdout_file("%s%s-%s.out" % (log_dir, tag, uniq_str))
if "output_file" in kwargs and kwargs["output_file"] is not None:
#
# Need to modify the output file so it's unique
#
ofname = kwargs["output_file"].split(".")
ofname, ext = ofname[0], ".".join(ofname[1:])
ile_job.add_file_opt("output-file", "%s-%s.%s" % (ofname, uniq_str, ext))
del kwargs["output_file"]
if "save_samples" in kwargs and kwargs["save_samples"] is True:
ile_job.add_opt("save-samples", None)
del kwargs["save_samples"]
#
# Add normal arguments
# FIXME: Get valid options from a module
#
for opt, param in list(kwargs.items()):
if isinstance(param, list) or isinstance(param, tuple):
# NOTE: Hack to get around multiple instances of the same option
for p in param:
ile_job.add_arg("--%s %s" % (opt.replace("_", "-"), str(p)))
elif param is True:
ile_job.add_opt(opt.replace("_", "-"), None)
elif param is None:
continue
else:
ile_job.add_opt(opt.replace("_", "-"), str(param))
#
# Macro based options
#
ile_job.add_var_opt("mass1")
ile_job.add_var_opt("mass2")
ile_job.add_condor_cmd('getenv', 'True')
ile_job.add_condor_cmd('request_memory', '2048')
return ile_job, ile_sub_name
def write_result_coalescence_sub(tag='coalesce', exe=None, log_dir=None, output_dir="./", use_default_cache=True):
"""
Write a submit file for launching jobs to coalesce ILE output
"""
exe = exe or which("ligolw_sqlite")
sql_job = pipeline.CondorDAGJob(universe="vanilla", executable=exe)
sql_sub_name = tag + '.sub'
sql_job.set_sub_file(sql_sub_name)
#
# Logging options
#
uniq_str = "$(cluster)-$(process)"
sql_job.set_log_file("%s%s-%s.log" % (log_dir, tag, uniq_str))
sql_job.set_stderr_file("%s%s-%s.err" % (log_dir, tag, uniq_str))
sql_job.set_stdout_file("%s%s-%s.out" % (log_dir, tag, uniq_str))
if use_default_cache:
sql_job.add_opt("input-cache", "ILE_$(macromassid).cache")
else:
sql_job.add_arg("$(macrofiles)")
#sql_job.add_arg("*$(macromassid)*.xml.gz")
sql_job.add_opt("database", "ILE_$(macromassid).sqlite")
#if os.environ.has_key("TMPDIR"):
#tmpdir = os.environ["TMPDIR"]
#else:
#print >>sys.stderr, "WARNING, TMPDIR environment variable not set. Will default to /tmp/, but this could be dangerous."
#tmpdir = "/tmp/"
tmpdir = "/dev/shm/"
sql_job.add_opt("tmp-space", tmpdir)
sql_job.add_opt("verbose", None)
sql_job.add_condor_cmd('getenv', 'True')
sql_job.add_condor_cmd('request_memory', '1024')
return sql_job, sql_sub_name
def write_posterior_plot_sub(tag='plot_post', exe=None, log_dir=None, output_dir="./"):
"""
Write a submit file for launching jobs to coalesce ILE output
"""
exe = exe or which("plot_like_contours")
plot_job = pipeline.CondorDAGJob(universe="vanilla", executable=exe)
plot_sub_name = tag + '.sub'
plot_job.set_sub_file(plot_sub_name)
#
# Logging options
#
uniq_str = "$(cluster)-$(process)"
plot_job.set_log_file("%s%s-%s.log" % (log_dir, tag, uniq_str))
plot_job.set_stderr_file("%s%s-%s.err" % (log_dir, tag, uniq_str))
plot_job.set_stdout_file("%s%s-%s.out" % (log_dir, tag, uniq_str))
plot_job.add_opt("show-points", None)
plot_job.add_opt("dimension1", "mchirp")
plot_job.add_opt("dimension2", "eta")
plot_job.add_opt("input-cache", "ILE_all.cache")
plot_job.add_opt("log-evidence", None)
plot_job.add_condor_cmd('getenv', 'True')
plot_job.add_condor_cmd('request_memory', '1024')
return plot_job, plot_sub_name
def write_tri_plot_sub(tag='plot_tri', injection_file=None, exe=None, log_dir=None, output_dir="./"):
"""
Write a submit file for launching jobs to coalesce ILE output
"""
exe = exe or which("make_triplot")
plot_job = pipeline.CondorDAGJob(universe="vanilla", executable=exe)
plot_sub_name = tag + '.sub'
plot_job.set_sub_file(plot_sub_name)
#
# Logging options
#
uniq_str = "$(cluster)-$(process)"
plot_job.set_log_file("%s%s-%s.log" % (log_dir, tag, uniq_str))
plot_job.set_stderr_file("%s%s-%s.err" % (log_dir, tag, uniq_str))
plot_job.set_stdout_file("%s%s-%s.out" % (log_dir, tag, uniq_str))
plot_job.add_opt("output", "ILE_triplot_$(macromassid).png")
if injection_file is not None:
plot_job.add_opt("injection", injection_file)
plot_job.add_arg("ILE_$(macromassid).sqlite")
plot_job.add_condor_cmd('getenv', 'True')
#plot_job.add_condor_cmd('request_memory', '2048')
return plot_job, plot_sub_name
def write_1dpos_plot_sub(tag='1d_post_plot', exe=None, log_dir=None, output_dir="./"):
"""
Write a submit file for launching jobs to coalesce ILE output
"""
exe = exe or which("postprocess_1d_cumulative")
plot_job = pipeline.CondorDAGJob(universe="vanilla", executable=exe)
plot_sub_name = tag + '.sub'
plot_job.set_sub_file(plot_sub_name)
#
# Logging options
#
uniq_str = "$(cluster)-$(process)"
plot_job.set_log_file("%s%s-%s.log" % (log_dir, tag, uniq_str))
plot_job.set_stderr_file("%s%s-%s.err" % (log_dir, tag, uniq_str))
plot_job.set_stdout_file("%s%s-%s.out" % (log_dir, tag, uniq_str))
plot_job.add_opt("save-sampler-file", "ILE_$(macromassid).sqlite")
plot_job.add_opt("disable-triplot", None)
plot_job.add_opt("disable-1d-density", None)
plot_job.add_condor_cmd('getenv', 'True')
plot_job.add_condor_cmd('request_memory', '2048')
return plot_job, plot_sub_name
def write_CIP_sub(tag='integrate', exe=None, input_net='all.net',output='output-ILE-samples',universe="vanilla",out_dir=None,log_dir=None, use_eos=False,ncopies=1,arg_str=None,request_memory=8192,arg_vals=None, no_grid=False,**kwargs):
"""
Write a submit file for launching jobs to marginalize the likelihood over intrinsic parameters.
Inputs:
Outputs:
- An instance of the CondorDAGJob that was generated for ILE
"""
exe = exe or which("util_ConstructIntrinsicPosterior_GenericCoordinates.py")
ile_job = pipeline.CondorDAGJob(universe=universe, executable=exe)
# This is a hack since CondorDAGJob hides the queue property
ile_job._CondorJob__queue = ncopies
# no grid
if no_grid:
ile_job.add_condor_cmd("+DESIRED_SITES",'"nogrid"')
ile_job.add_condor_cmd("+flock_local",'true')
requirements=[]
if universe=='local':
requirements.append("IS_GLIDEIN=?=undefined")
ile_sub_name = tag + '.sub'
ile_job.set_sub_file(ile_sub_name)
#
# Add options en mass, by brute force
#
arg_str = arg_str.lstrip() # remove leading whitespace and minus signs
arg_str = arg_str.lstrip('-')
ile_job.add_opt(arg_str,'') # because we must be idiotic in how we pass arguments, I strip off the first two elements of the line
# ile_job.add_opt(arg_str[2:],'') # because we must be idiotic in how we pass arguments, I strip off the first two elements of the line
ile_job.add_opt("fname", input_net)
ile_job.add_opt("fname-output-samples", out_dir+"/"+output)
ile_job.add_opt("fname-output-integral", out_dir+"/"+output)
#
# Macro based options.
# - select EOS from list (done via macro)
# - pass spectral parameters
#
# ile_job.add_var_opt("event")
if use_eos:
ile_job.add_var_opt("using-eos")
#
# Logging options
#
uniq_str = "$(macroevent)-$(cluster)-$(process)"
ile_job.set_log_file("%s%s-%s.log" % (log_dir, tag, uniq_str))
ile_job.set_stderr_file("%s%s-%s.err" % (log_dir, tag, uniq_str))
ile_job.set_stdout_file("%s%s-%s.out" % (log_dir, tag, uniq_str))
if "fname_output_samples" in kwargs and kwargs["fname_output_samples"] is not None:
#
# Need to modify the output file so it's unique
#
ofname = kwargs["fname_output_samples"].split(".")
ofname, ext = ofname[0], ".".join(ofname[1:])
ile_job.add_file_opt("output-file", "%s-%s.%s" % (ofname, uniq_str, ext))
if "fname_output_integral" in kwargs and kwargs["fname_output_integral"] is not None:
#
# Need to modify the output file so it's unique
#
ofname = kwargs["fname_output_integral"].split(".")
ofname, ext = ofname[0], ".".join(ofname[1:])
ile_job.add_file_opt("output-file", "%s-%s.%s" % (ofname, uniq_str, ext))
#
# Add normal arguments
# FIXME: Get valid options from a module
#
for opt, param in list(kwargs.items()):
if isinstance(param, list) or isinstance(param, tuple):
# NOTE: Hack to get around multiple instances of the same option
for p in param:
ile_job.add_arg("--%s %s" % (opt.replace("_", "-"), str(p)))
elif param is True:
ile_job.add_opt(opt.replace("_", "-"), None)
elif param is None or param is False:
continue
else:
ile_job.add_opt(opt.replace("_", "-"), str(param))
ile_job.add_condor_cmd('getenv', 'True')
ile_job.add_condor_cmd('request_memory', str(request_memory))
# To change interactively:
# condor_qedit
# for example:
# for i in `condor_q -hold | grep oshaughn | awk '{print $1}'`; do condor_qedit $i RequestMemory 30000; done; condor_release -all
ile_job.add_condor_cmd('requirements', '&&'.join('({0})'.format(r) for r in requirements))
ile_job.add_condor_cmd("stream_error",'True')
ile_job.add_condor_cmd("stream_output",'True')
try:
ile_job.add_condor_cmd('accounting_group',os.environ['LIGO_ACCOUNTING'])
ile_job.add_condor_cmd('accounting_group_user',os.environ['LIGO_USER_NAME'])
except:
print(" LIGO accounting information not available. You must add this manually to integrate.sub !")
###
### SUGGESTION FROM STUART (for later)
# request_memory = ifthenelse( (LastHoldReasonCode=!=34 && LastHoldReasonCode=!=26), InitialRequestMemory, int(1.5 * NumJobStarts * MemoryUsage) )
# periodic_release = ((HoldReasonCode =?= 34) || (HoldReasonCode =?= 26))
# This will automatically release a job that is put on hold for using too much memory with a 50% increased memory request each tim.e
return ile_job, ile_sub_name
def write_puff_sub(tag='puffball', exe=None, input_net='output-ILE-samples',output='puffball',universe="vanilla",out_dir=None,log_dir=None, use_eos=False,ncopies=1,arg_str=None,request_memory=1024,arg_vals=None, no_grid=False,**kwargs):
"""
Perform puffball calculation
Inputs:
Outputs:
- An instance of the CondorDAGJob that was generated for ILE
"""
exe = exe or which("util_ParameterPuffball.py")
ile_job = pipeline.CondorDAGJob(universe=universe, executable=exe)
requirements=[]
if universe=='local':
requirements.append("IS_GLIDEIN=?=undefined")
# no grid
if no_grid:
ile_job.add_condor_cmd("+DESIRED_SITES",'"nogrid"')
ile_job.add_condor_cmd("+flock_local",'true')
ile_sub_name = tag + '.sub'
ile_job.set_sub_file(ile_sub_name)
#
# Add options en mass, by brute force
#
arg_str = arg_str.lstrip() # remove leading whitespace and minus signs
arg_str = arg_str.lstrip('-')
ile_job.add_opt(arg_str,'') # because we must be idiotic in how we pass arguments, I strip off the first two elements of the line
ile_job.add_opt("inj-file", input_net)
ile_job.add_opt("inj-file-out", output)
#
# Logging options
#
uniq_str = "$(macroevent)-$(cluster)-$(process)"
ile_job.set_log_file("%s%s-%s.log" % (log_dir, tag, uniq_str))
ile_job.set_stderr_file("%s%s-%s.err" % (log_dir, tag, uniq_str))
ile_job.set_stdout_file("%s%s-%s.out" % (log_dir, tag, uniq_str))
#
# Add normal arguments
# FIXME: Get valid options from a module
#
for opt, param in list(kwargs.items()):
if isinstance(param, list) or isinstance(param, tuple):
# NOTE: Hack to get around multiple instances of the same option
for p in param:
ile_job.add_arg("--%s %s" % (opt.replace("_", "-"), str(p)))
elif param is True:
ile_job.add_opt(opt.replace("_", "-"), None)
elif param is None or param is False:
continue
else:
ile_job.add_opt(opt.replace("_", "-"), str(param))
ile_job.add_condor_cmd('getenv', 'True')
ile_job.add_condor_cmd('request_memory', str(request_memory))
# To change interactively:
# condor_qedit
# for example:
# for i in `condor_q -hold | grep oshaughn | awk '{print $1}'`; do condor_qedit $i RequestMemory 30000; done; condor_release -all
ile_job.add_condor_cmd('requirements', '&&'.join('({0})'.format(r) for r in requirements))
try:
ile_job.add_condor_cmd('accounting_group',os.environ['LIGO_ACCOUNTING'])
ile_job.add_condor_cmd('accounting_group_user',os.environ['LIGO_USER_NAME'])
except:
print(" LIGO accounting information not available. You must add this manually to integrate.sub !")
return ile_job, ile_sub_name
def write_ILE_sub_simple(tag='integrate', exe=None, log_dir=None, use_eos=False,simple_unique=False,ncopies=1,arg_str=None,request_memory=4096,request_gpu=False,request_disk=False,arg_vals=None, transfer_files=None,transfer_output_files=None,use_singularity=False,use_osg=False,use_simple_osg_requirements=False,singularity_image=None,use_cvmfs_frames=False,frames_dir=None,cache_file=None,fragile_hold=False,max_runtime_minutes=None,condor_commands=None,**kwargs):
"""
Write a submit file for launching jobs to marginalize the likelihood over intrinsic parameters.
Inputs:
Outputs:
- An instance of the CondorDAGJob that was generated for ILE
"""
if use_singularity and (singularity_image == None) :
print(" FAIL : Need to specify singularity_image to use singularity ")
sys.exit(0)
if use_singularity and (frames_dir == None) and (cache_file == None) :
print(" FAIL : Need to specify frames_dir or cache_file to use singularity (at present) ")
sys.exit(0)
if use_singularity and (transfer_files == None) :
print(" FAIL : Need to specify transfer_files to use singularity at present! (we will append the prescript; you should transfer any PSDs as well as the grid file ")
sys.exit(0)
exe = exe or which("integrate_likelihood_extrinsic")
frames_local = None
if use_singularity:
path_split = exe.split("/")
print((" Executable: name breakdown ", path_split, " from ", exe))
singularity_base_exe_path = "/opt/lscsoft/rift/MonteCarloMarginalizeCode/Code/" # should not hardcode this ...!
if 'SINGULARITY_BASE_EXE_DIR' in list(os.environ.keys()) :
singularity_base_exe_path = os.environ['SINGULARITY_BASE_EXE_DIR']
else:
# singularity_base_exe_path = "/opt/lscsoft/rift/MonteCarloMarginalizeCode/Code/" # should not hardcode this ...!
singularity_base_exe_path = "/usr/bin/" # should not hardcode this ...!
exe=singularity_base_exe_path + path_split[-1]
if not(frames_dir is None):
frames_local = frames_dir.split("/")[-1]
elif use_osg: # NOT using singularity!
if not(frames_dir is None):
frames_local = frames_dir.split("/")[-1]
path_split = exe.split("/")
exe=path_split[-1] # pull out basename
exe_here = 'my_wrapper.sh'
if transfer_files is None:
transfer_files = []
transfer_files += ['../my_wrapper.sh']
with open(exe_here,'w') as f:
f.write("#! /bin/bash \n")
f.write(r"""
#!/bin/bash
# Modules and scripts run directly from repository
# Note the repo and branch are self-referential ! Not a robust solution long-term
# Exit on failure:
# set -e
export INSTALL_DIR=research-projects-RIT
export ILE_DIR=${INSTALL_DIR}/MonteCarloMarginalizeCode/Code
export PATH=${PATH}:${ILE_DIR}
export PYTHONPATH=${PYTHONPATH}:${ILE_DIR}
export GW_SURROGATE=gwsurrogate
git clone https://git.ligo.org/richard-oshaughnessy/research-projects-RIT.git
pushd ${INSTALL_DIR}
git checkout temp-RIT-Tides-port_master-GPUIntegration
popd
ls
cat local.cache
echo Starting ...
./research-projects-RIT/MonteCarloMarginalizeCode/Code/""" + exe + " $@ \n")
os.system("chmod a+x "+exe_here)
exe = exe_here # update executable
ile_job = pipeline.CondorDAGJob(universe="vanilla", executable=exe)
# This is a hack since CondorDAGJob hides the queue property
ile_job._CondorJob__queue = ncopies
ile_sub_name = tag + '.sub'
ile_job.set_sub_file(ile_sub_name)
#
# Add options en mass, by brute force
#
arg_str = arg_str.lstrip() # remove leading whitespace and minus signs
arg_str = arg_str.lstrip('-')
ile_job.add_opt(arg_str,'') # because we must be idiotic in how we pass arguments, I strip off the first two elements of the line
# ile_job.add_opt(arg_str[2:],'') # because we must be idiotic in how we pass arguments, I strip off the first two elements of the line
#
# Macro based options.
# - select EOS from list (done via macro)
# - pass spectral parameters
#
# ile_job.add_var_opt("event")
if use_eos:
ile_job.add_var_opt("using-eos")
requirements =[]
#
# Logging options
#
uniq_str = "$(macroevent)-$(cluster)-$(process)"
if simple_unique:
uniq_str = "$(macroevent)"
ile_job.set_log_file("%s%s-%s.log" % (log_dir, tag, uniq_str))
ile_job.set_stderr_file("%s%s-%s.err" % (log_dir, tag, uniq_str))
ile_job.set_stdout_file("%s%s-%s.out" % (log_dir, tag, uniq_str))
# Add lame initial argument
if "output_file" in kwargs and kwargs["output_file"] is not None:
#
# Need to modify the output file so it's unique
#
ofname = kwargs["output_file"].split(".")
ofname, ext = ofname[0], ".".join(ofname[1:])
ile_job.add_file_opt("output-file", "%s-%s.%s" % (ofname, uniq_str, ext))
del kwargs["output_file"]
if "save_samples" in kwargs and kwargs["save_samples"] is True:
ile_job.add_opt("save-samples", None)
del kwargs["save_samples"]
#
# Add normal arguments
# FIXME: Get valid options from a module
#
for opt, param in list(kwargs.items()):
if isinstance(param, list) or isinstance(param, tuple):
# NOTE: Hack to get around multiple instances of the same option
for p in param:
ile_job.add_arg("--%s %s" % (opt.replace("_", "-"), str(p)))
elif param is True:
ile_job.add_opt(opt.replace("_", "-"), None)
elif param is None or param is False:
continue
else:
ile_job.add_opt(opt.replace("_", "-"), str(param))
if cache_file:
ile_job.add_opt("cache-file",cache_file)
ile_job.add_var_opt("event")
if not use_osg:
ile_job.add_condor_cmd('getenv', 'True')
ile_job.add_condor_cmd('request_memory', str(request_memory))
if not(request_disk is False):
ile_job.add_condor_cmd('request_disk', str(request_disk))
nGPUs =0
if request_gpu:
nGPUs=1
ile_job.add_condor_cmd('request_GPUs', str(nGPUs))
if use_singularity:
# Compare to https://github.com/lscsoft/lalsuite/blob/master/lalinference/python/lalinference/lalinference_pipe_utils.py
ile_job.add_condor_cmd('request_CPUs', str(1))
ile_job.add_condor_cmd('transfer_executable', 'False')
ile_job.add_condor_cmd("+SingularityBindCVMFS", 'True')
ile_job.add_condor_cmd("+SingularityImage", '"' + singularity_image + '"')
requirements = []
requirements.append("HAS_SINGULARITY=?=TRUE")
# if not(use_simple_osg_requirements):
# requirements.append("HAS_CVMFS_LIGO_CONTAINERS=?=TRUE")
#ile_job.add_condor_cmd("requirements", ' (IS_GLIDEIN=?=True) && (HAS_LIGO_FRAMES=?=True) && (HAS_SINGULARITY=?=TRUE) && (HAS_CVMFS_LIGO_CONTAINERS=?=TRUE)')
if use_cvmfs_frames:
requirements.append("HAS_LIGO_FRAMES=?=TRUE")
ile_job.add_condor_cmd('use_x509userproxy','True')
if 'X509_USER_PROXY' in list(os.environ.keys()):
print(" Storing copy of X509 user proxy -- beware expiration! ")
cwd = os.getcwd()
fname_proxy = cwd +"/my_proxy" # this can get overwritten, that's fine - just renews, feature not bug
os.system("cp ${X509_USER_PROXY} " + fname_proxy)
# ile_job.add_condor_cmd('x509userproxy',os.environ['X509_USER_PROXY'])
ile_job.add_condor_cmd('x509userproxy',fname_proxy)
if use_osg:
if not(use_simple_osg_requirements):
requirements.append("IS_GLIDEIN=?=TRUE")
# avoid black-holing jobs to specific machines that consistently fail. Uses history attribute for ad
ile_job.add_condor_cmd('periodic_release','(HoldReasonCode == 45) && (HoldReasonSubCode == 0)')
ile_job.add_condor_cmd('job_machine_attrs','Machine')
ile_job.add_condor_cmd('job_machine_attrs_history_length','4')
# for indx in [1,2,3,4]:
# requirements.append("TARGET.GLIDEIN_ResourceName=!=MY.MachineAttrGLIDEIN_ResourceName{}".format(indx))
if "OSG_DESIRED_SITES" in os.environ:
ile_job.add_condor_cmd('+DESIRED_SITES',os.environ["OSG_DESIRED_SITES"])
if "OSG_UNDESIRED_SITES" in os.environ:
ile_job.add_condor_cmd('+UNDESIRED_SITES',os.environ["OSG_UNDESIRED_SITES"])
# Some options to automate restarts, acts on top of RETRY in dag
if fragile_hold:
ile_job.add_condor_cmd("periodic_release","(NumJobStarts < 5) && ((CurrentTime - EnteredCurrentStatus) > 600)")
ile_job.add_condor_cmd("on_exit_hold","(ExitBySignal == True) || (ExitCode != 0)")
if use_singularity or use_osg:
# Set up file transfer options
ile_job.add_condor_cmd("when_to_transfer_output",'ON_EXIT')
# Stream log info
ile_job.add_condor_cmd("stream_error",'True')
ile_job.add_condor_cmd("stream_output",'True')
# Create prescript command to set up local.cache, only if frames are needed
# if we have CVMFS frames, we should be copying local.cache over directly, with it already populated !
if not(frames_local is None) and not(use_cvmfs_frames): # should be required for singularity or osg
try:
lalapps_path2cache=os.environ['LALAPPS_PATH2CACHE']
except KeyError:
print("Variable LALAPPS_PATH2CACHE is unset, assume default lalapps_path2cache is appropriate")
lalapps_path2cache="lalapps_path2cache"
cmdname = 'ile_pre.sh'
if transfer_files is None:
transfer_files = []
transfer_files += ["../ile_pre.sh", frames_dir] # assuming default working directory setup
with open(cmdname,'w') as f:
f.write("#! /bin/bash -xe \n")
f.write( "ls "+frames_local+" | {lalapps_path2cache} 1> local.cache \n".format(lalapps_path2cache=lalapps_path2cache)) # Danger: need user to correctly specify local.cache directory
# Rewrite cache file to use relative paths, not a file:// operation
f.write(" cat local.cache | awk '{print $1, $2, $3, $4}' > local_stripped.cache \n")
f.write("for i in `ls " + frames_local + "`; do echo "+ frames_local + "/$i; done > base_paths.dat \n")
f.write("paste local_stripped.cache base_paths.dat > local_relative.cache \n")
f.write("cp local_relative.cache local.cache \n")
os.system("chmod a+x ile_pre.sh")
ile_job.add_condor_cmd('+PreCmd', '"ile_pre.sh"')
# if use_osg:
# ile_job.add_condor_cmd("+OpenScienceGrid",'True')
if use_cvmfs_frames:
transfer_files += ["../local.cache"]
# To change interactively:
# condor_qedit
# for example:
# for i in `condor_q -hold | grep oshaughn | awk '{print $1}'`; do condor_qedit $i RequestMemory 30000; done; condor_release -all
# Write requirements
# From https://github.com/lscsoft/lalsuite/blob/master/lalinference/python/lalinference/lalinference_pipe_utils.py
ile_job.add_condor_cmd('requirements', '&&'.join('({0})'.format(r) for r in requirements))
try:
ile_job.add_condor_cmd('accounting_group',os.environ['LIGO_ACCOUNTING'])
ile_job.add_condor_cmd('accounting_group_user',os.environ['LIGO_USER_NAME'])
except:
print(" LIGO accounting information not available. You must add this manually to integrate.sub !")
if not transfer_files is None:
if not isinstance(transfer_files, list):
fname_str=transfer_files
else:
fname_str = ','.join(transfer_files)
fname_str=fname_str.strip()
ile_job.add_condor_cmd('transfer_input_files', fname_str)
ile_job.add_condor_cmd('should_transfer_files','YES')
if not transfer_output_files is None:
if not isinstance(transfer_output_files, list):
fname_str=transfer_output_files
else:
fname_str = ','.join(transfer_output_files)
fname_str=fname_str.strip()
ile_job.add_condor_cmd('transfer_output_files', fname_str)
# Periodic remove: kill jobs running longer than max runtime
# https://stackoverflow.com/questions/5900400/maximum-run-time-in-condor
if not(max_runtime_minutes is None):
remove_str = 'JobStatus =?= 2 && (CurrentTime - JobStartDate) > ( {})'.format(60*max_runtime_minutes)
ile_job.add_condor_cmd('periodic_remove', remove_str)
###
### SUGGESTION FROM STUART (for later)
# request_memory = ifthenelse( (LastHoldReasonCode=!=34 && LastHoldReasonCode=!=26), InitialRequestMemory, int(1.5 * NumJobStarts * MemoryUsage) )
# periodic_release = ((HoldReasonCode =?= 34) || (HoldReasonCode =?= 26))
# This will automatically release a job that is put on hold for using too much memory with a 50% increased memory request each tim.e
if condor_commands is not None:
for cmd, value in condor_commands.iteritems():
ile_job.add_condor_cmd(cmd, value)
return ile_job, ile_sub_name
def write_consolidate_sub_simple(tag='consolidate', exe=None, base=None,target=None,universe="vanilla",arg_str=None,log_dir=None, use_eos=False,ncopies=1,no_grid=False, **kwargs):
"""
Write a submit file for launching a consolidation job
util_ILEdagPostprocess.sh # suitable for ILE consolidation.
arg_str # add argument (used for NR postprocessing, to identify group)
"""
exe = exe or which("util_ILEdagPostprocess.sh")
ile_job = pipeline.CondorDAGJob(universe=universe, executable=exe)
# This is a hack since CondorDAGJob hides the queue property
ile_job._CondorJob__queue = ncopies
requirements=[]
if universe=='local':
requirements.append("IS_GLIDEIN=?=undefined")
ile_sub_name = tag + '.sub'
ile_job.set_sub_file(ile_sub_name)
# Add manual options for input, output
ile_job.add_arg(base) # what directory to load
ile_job.add_arg(target) # where to put the output (label), in CWD
#
# NO OPTIONS
#
# arg_str = arg_str.lstrip() # remove leading whitespace and minus signs
# arg_str = arg_str.lstrip('-')
# ile_job.add_opt(arg_str,'') # because we must be idiotic in how we pass arguments, I strip off the first two elements of the line
# ile_job.add_opt(arg_str[2:],'') # because we must be idiotic in how we pass arguments, I strip off the first two elements of the line
#
# Logging options
#
uniq_str = "$(macromassid)-$(cluster)-$(process)"
ile_job.set_log_file("%s%s-%s.log" % (log_dir, tag, uniq_str))
ile_job.set_stderr_file("%s%s-%s.err" % (log_dir, tag, uniq_str))
ile_job.set_stdout_file("%s%s-%s.out" % (log_dir, tag, uniq_str))
#
# Add normal arguments
# FIXME: Get valid options from a module
#
for opt, param in list(kwargs.items()):
if isinstance(param, list) or isinstance(param, tuple):
# NOTE: Hack to get around multiple instances of the same option
for p in param:
ile_job.add_arg("--%s %s" % (opt.replace("_", "-"), str(p)))
elif param is True:
ile_job.add_opt(opt.replace("_", "-"), None)
elif param is None or param is False:
continue
else:
ile_job.add_opt(opt.replace("_", "-"), str(param))
ile_job.add_condor_cmd('getenv', 'True')
# To change interactively:
# condor_qedit
# for example:
# for i in `condor_q -hold | grep oshaughn | awk '{print $1}'`; do condor_qedit $i RequestMemory 30000; done; condor_release -all
ile_job.add_condor_cmd('requirements', '&&'.join('({0})'.format(r) for r in requirements))
# no grid
if no_grid:
ile_job.add_condor_cmd("+DESIRED_SITES",'"nogrid"')
ile_job.add_condor_cmd("+flock_local",'true')
try:
ile_job.add_condor_cmd('accounting_group',os.environ['LIGO_ACCOUNTING'])
ile_job.add_condor_cmd('accounting_group_user',os.environ['LIGO_USER_NAME'])
except:
print(" LIGO accounting information not available. You must add this manually to integrate.sub !")
###
### SUGGESTION FROM STUART (for later)
# request_memory = ifthenelse( (LastHoldReasonCode=!=34 && LastHoldReasonCode=!=26), InitialRequestMemory, int(1.5 * NumJobStarts * MemoryUsage) )
# periodic_release = ((HoldReasonCode =?= 34) || (HoldReasonCode =?= 26))
# This will automatically release a job that is put on hold for using too much memory with a 50% increased memory request each tim.e
return ile_job, ile_sub_name
def write_unify_sub_simple(tag='unify', exe=None, base=None,target=None,universe="vanilla",arg_str=None,log_dir=None, use_eos=False,ncopies=1,no_grid=False, **kwargs):
"""
Write a submit file for launching a consolidation job
util_ILEdagPostprocess.sh # suitable for ILE consolidation.
arg_str # add argument (used for NR postprocessing, to identify group)
"""
exe = exe or which("util_CleanILE.py") # like cat, but properly accounts for *independent* duplicates. (Danger if identical). Also strips large errors
# Write unify.sh
# - problem of globbing inside condor commands
# - problem that *.composite files from intermediate results will generally NOT be present
cmdname ='unify.sh'
base_str = ''
if not (base is None):
base_str = ' ' + base +"/"
with open(cmdname,'w') as f:
f.write("#! /usr/bin/env bash\n")
f.write( "ls " + base_str+"*.composite 1>&2 \n") # write filenames being concatenated to stderr
f.write( exe + base_str+ "*.composite \n")
st = os.stat(cmdname)
import stat
os.chmod(cmdname, st.st_mode | stat.S_IEXEC)
ile_job = pipeline.CondorDAGJob(universe=universe, executable=base_str+cmdname) # force full prefix
requirements=[]
if universe=='local':
requirements.append("IS_GLIDEIN=?=undefined")
ile_sub_name = tag + '.sub'
ile_job.set_sub_file(ile_sub_name)
# Add manual options for input, output
# ile_job.add_arg('*.composite') # what to do
#
# Logging options
#
uniq_str = "$(macromassid)-$(cluster)-$(process)"
ile_job.set_log_file("%s%s-%s.log" % (log_dir, tag, uniq_str))
ile_job.set_stderr_file("%s%s-%s.err" % (log_dir, tag, uniq_str))
ile_job.set_stdout_file(target)
ile_job.add_condor_cmd('getenv', 'True')
# To change interactively:
# condor_qedit
# for example:
# for i in `condor_q -hold | grep oshaughn | awk '{print $1}'`; do condor_qedit $i RequestMemory 30000; done; condor_release -all
ile_job.add_condor_cmd('requirements', '&&'.join('({0})'.format(r) for r in requirements))
# no grid
if no_grid:
ile_job.add_condor_cmd("+DESIRED_SITES",'"nogrid"')
ile_job.add_condor_cmd("+flock_local",'true')
try:
ile_job.add_condor_cmd('accounting_group',os.environ['LIGO_ACCOUNTING'])
ile_job.add_condor_cmd('accounting_group_user',os.environ['LIGO_USER_NAME'])
except:
print(" LIGO accounting information not available. You must add this manually to integrate.sub !")
return ile_job, ile_sub_name
def write_convert_sub(tag='convert', exe=None, file_input=None,file_output=None,universe="vanilla",arg_str='',log_dir=None, use_eos=False,ncopies=1, no_grid=False,**kwargs):
"""
Write a submit file for launching a 'convert' job
convert_output_format_ile2inference
"""
exe = exe or which("convert_output_format_ile2inference") # like cat, but properly accounts for *independent* duplicates. (Danger if identical). Also strips large errors
ile_job = pipeline.CondorDAGJob(universe=universe, executable=exe)
requirements=[]
if universe=='local':
requirements.append("IS_GLIDEIN=?=undefined")
ile_sub_name = tag + '.sub'
ile_job.set_sub_file(ile_sub_name)
if not(arg_str is None or len(arg_str)<2):
arg_str = arg_str.lstrip() # remove leading whitespace and minus signs
arg_str = arg_str.lstrip('-')
ile_job.add_opt(arg_str,'') # because we must be idiotic in how we pass arguments, I strip off the first two elements of the line
# ile_job.add_opt(arg_str[2:],'') # because we must be idiotic in how we pass arguments, I strip off the first two elements of the line
ile_job.add_arg(file_input)
#
# Logging options
#
uniq_str = "$(macromassid)-$(cluster)-$(process)"
ile_job.set_log_file("%s%s-%s.log" % (log_dir, tag, uniq_str))
ile_job.set_stderr_file("%s%s-%s.err" % (log_dir, tag, uniq_str))
ile_job.set_stdout_file(file_output)
ile_job.add_condor_cmd('getenv', 'True')
# To change interactively:
# condor_qedit
# for example:
# for i in `condor_q -hold | grep oshaughn | awk '{print $1}'`; do condor_qedit $i RequestMemory 30000; done; condor_release -all
ile_job.add_condor_cmd('requirements', '&&'.join('({0})'.format(r) for r in requirements))
# no grid
if no_grid:
ile_job.add_condor_cmd("+DESIRED_SITES",'"nogrid"')
ile_job.add_condor_cmd("+flock_local",'true')
try:
ile_job.add_condor_cmd('accounting_group',os.environ['LIGO_ACCOUNTING'])
ile_job.add_condor_cmd('accounting_group_user',os.environ['LIGO_USER_NAME'])
except:
print(" LIGO accounting information not available. You must add this manually to integrate.sub !")
return ile_job, ile_sub_name
def write_test_sub(tag='converge', exe=None,samples_files=None, base=None,target=None,universe="target",arg_str=None,log_dir=None, use_eos=False,ncopies=1, **kwargs):
"""
Write a submit file for launching a convergence test job
"""
exe = exe or which("convergence_test_samples.py")
ile_job = pipeline.CondorDAGJob(universe=universe, executable=exe)
requirements=[]
if universe=='local':
requirements.append("IS_GLIDEIN=?=undefined")
ile_sub_name = tag + '.sub'
ile_job.set_sub_file(ile_sub_name)
arg_str = arg_str.lstrip() # remove leading whitespace and minus signs
arg_str = arg_str.lstrip('-')
ile_job.add_opt(arg_str,'') # because we must be idiotic in how we pass arguments, I strip off the first two elements of the line
# ile_job.add_opt(arg_str[2:],'') # because we must be idiotic in how we pass arguments, I strip off the first two elements of the line
# Add options for two parameter files
for name in samples_files:
# ile_job.add_opt("samples",name) # do not add in usual fashion, because otherwise the key's value is overwritten
ile_job.add_opt("samples " + name,'')
# Logging options
#
uniq_str = "$(macromassid)-$(cluster)-$(process)"
ile_job.set_log_file("%s%s-%s.log" % (log_dir, tag, uniq_str))
ile_job.set_stderr_file("%s%s-%s.err" % (log_dir, tag, uniq_str))
ile_job.set_stdout_file(target)
ile_job.add_condor_cmd('getenv', 'True')
# To change interactively:
# condor_qedit
# for example:
# for i in `condor_q -hold | grep oshaughn | awk '{print $1}'`; do condor_qedit $i RequestMemory 30000; done; condor_release -all
ile_job.add_condor_cmd('requirements', '&&'.join('({0})'.format(r) for r in requirements))
try:
ile_job.add_condor_cmd('accounting_group',os.environ['LIGO_ACCOUNTING'])
ile_job.add_condor_cmd('accounting_group_user',os.environ['LIGO_USER_NAME'])
except:
print(" LIGO accounting information not available. You must add this manually to integrate.sub !")
return ile_job, ile_sub_name
def write_plot_sub(tag='converge', exe=None,samples_files=None, base=None,target=None,arg_str=None,log_dir=None, use_eos=False,ncopies=1, **kwargs):
"""
Write a submit file for launching a final plot. Note the user can in principle specify several samples (e.g., several iterations, if we want to diagnose them)
"""
exe = exe or which("plot_posterior_corner.py")
ile_job = pipeline.CondorDAGJob(universe="vanilla", executable=exe)
ile_sub_name = tag + '.sub'
ile_job.set_sub_file(ile_sub_name)
arg_str = arg_str.lstrip() # remove leading whitespace and minus signs
arg_str = arg_str.lstrip('-')
ile_job.add_opt(arg_str,'') # because we must be idiotic in how we pass arguments, I strip off the first two elements of the line
# ile_job.add_opt(arg_str[2:],'') # because we must be idiotic in how we pass arguments, I strip off the first two elements of the line
# Add options for two parameter files
for name in samples_files:
# ile_job.add_opt("samples",name) # do not add in usual fashion, because otherwise the key's value is overwritten
ile_job.add_opt("posterior-file " + name,'')
# Logging options
#
uniq_str = "$(macromassid)-$(cluster)-$(process)"
ile_job.set_log_file("%s%s-%s.log" % (log_dir, tag, uniq_str))
ile_job.set_stderr_file("%s%s-%s.err" % (log_dir, tag, uniq_str))
ile_job.set_stdout_file(target)
ile_job.add_condor_cmd('getenv', 'True')
# To change interactively:
# condor_qedit
# for example:
# for i in `condor_q -hold | grep oshaughn | awk '{print $1}'`; do condor_qedit $i RequestMemory 30000; done; condor_release -all
try:
ile_job.add_condor_cmd('accounting_group',os.environ['LIGO_ACCOUNTING'])
ile_job.add_condor_cmd('accounting_group_user',os.environ['LIGO_USER_NAME'])
except:
print(" LIGO accounting information not available. You must add this manually to integrate.sub !")
return ile_job, ile_sub_name
def write_init_sub(tag='gridinit', exe=None,arg_str=None,log_dir=None, use_eos=False,ncopies=1, **kwargs):
"""
Write a submit file for launching a grid initialization job.
Note this routine MUST create whatever files are needed by the ILE iteration
"""
exe = exe or which("util_ManualOverlapGrid.py")
ile_job = pipeline.CondorDAGJob(universe="vanilla", executable=exe)
ile_sub_name = tag + '.sub'
ile_job.set_sub_file(ile_sub_name)
arg_str = arg_str.lstrip() # remove leading whitespace and minus signs
arg_str = arg_str.lstrip('-')
ile_job.add_opt(arg_str,'') # because we must be idiotic in how we pass arguments, I strip off the first two elements of the line
# ile_job.add_opt(arg_str[2:],'') # because we must be idiotic in how we pass arguments, I strip off the first two elements of the line
# Logging options
#
uniq_str = "$(macromassid)-$(cluster)-$(process)"
ile_job.set_log_file("%s%s-%s.log" % (log_dir, tag, uniq_str))
ile_job.set_stderr_file("%s%s-%s.err" % (log_dir, tag, uniq_str))
ile_job.set_stdout_file("%s%s-%s.out" % (log_dir, tag, uniq_str))
ile_job.add_condor_cmd('getenv', 'True')
# To change interactively:
# condor_qedit
# for example:
# for i in `condor_q -hold | grep oshaughn | awk '{print $1}'`; do condor_qedit $i RequestMemory 30000; done; condor_release -all
try:
ile_job.add_condor_cmd('accounting_group',os.environ['LIGO_ACCOUNTING'])
ile_job.add_condor_cmd('accounting_group_user',os.environ['LIGO_USER_NAME'])
except:
print(" LIGO accounting information not available. You must add this manually to integrate.sub !")
return ile_job, ile_sub_name
def write_psd_sub_BW_monoblock(tag='PSD_BW_mono', exe=None, log_dir=None, ncopies=1,arg_str=None,request_memory=4096,arg_vals=None, transfer_files=None,transfer_output_files=None,use_singularity=False,use_osg=False,singularity_image=None,frames_dir=None,cache_file=None,psd_length=4,srate=4096,data_start_time=None,event_time=None,universe='local',no_grid=False,**kwargs):
"""
Write a submit file for constructing the PSD using BW
Modern argument syntax for BW
Note that *all ifo-specific results must be set outside this loop*, to work sensibly, and passed as an argument
Inputs:
- channel_dict['H1'] = [channel_name, flow_ifo]
Outputs:
- An instance of the CondorDAGJob that was generated for BW
"""
exe = exe or which("BayesWave")
if exe is None:
print(" BayesWave not available, hard fail ")
sys.exit(0)
frames_local = None
ile_job = pipeline.CondorDAGJob(universe=universe, executable=exe)
# This is a hack since CondorDAGJob hides the queue property
ile_job._CondorJob__queue = ncopies
ile_sub_name = tag + '.sub'
ile_job.set_sub_file(ile_sub_name)
# no grid
if no_grid:
ile_job.add_condor_cmd("+DESIRED_SITES",'"nogrid"')
ile_job.add_condor_cmd("+flock_local",'true')
requirements =[]
#
# Logging options
#
uniq_str = "$(macroevent)-$(cluster)-$(process)"
ile_job.set_log_file("%s%s-%s.log" % (log_dir, tag, uniq_str))
ile_job.set_stderr_file("%s%s-%s.err" % (log_dir, tag, uniq_str))
ile_job.set_stdout_file("%s%s-%s.out" % (log_dir, tag, uniq_str))
#
# Loop over IFOs
# You should only have one, in the workflow for which this is intended
# Problem:
ile_job.add_arg("$(macroargument0)")
#
# Add mandatory options
ile_job.add_opt('Niter', '1000100')
ile_job.add_opt('Nchain', '20')
ile_job.add_opt('Dmax', '200') # limit number of dimensions in model
ile_job.add_opt('resume', '')
ile_job.add_opt('progress', '')
ile_job.add_opt('checkpoint', '')
ile_job.add_opt('bayesLine', '')
ile_job.add_opt('cleanOnly', '')
ile_job.add_opt('updateGeocenterPSD', '')
ile_job.add_opt('dataseed', '1234') # make reproducible
ile_job.add_opt('trigtime', str(event_time))
ile_job.add_opt('psdstart', str(event_time-(psd_length-2)))
ile_job.add_opt('segment-start', str(event_time-(psd_length-2)))
ile_job.add_opt('seglen', str(psd_length))
ile_job.add_opt('psdlength', str(psd_length))
ile_job.add_opt('srate', str(srate))
ile_job.add_opt('outputDir', 'output_$(ifo)')
# Add lame initial argument
if "output_file" in kwargs and kwargs["output_file"] is not None:
#
# Need to modify the output file so it's unique
#
ofname = kwargs["output_file"].split(".")
ofname, ext = ofname[0], ".".join(ofname[1:])
ile_job.add_file_opt("output-file", "%s-%s.%s" % (ofname, uniq_str, ext))
del kwargs["output_file"]
if "save_samples" in kwargs and kwargs["save_samples"] is True:
ile_job.add_opt("save-samples", None)
del kwargs["save_samples"]
#
# Add normal arguments
# FIXME: Get valid options from a module
#
for opt, param in list(kwargs.items()):
if isinstance(param, list) or isinstance(param, tuple):
# NOTE: Hack to get around multiple instances of the same option
for p in param:
ile_job.add_arg("--%s %s" % (opt.replace("_", "-"), str(p)))
elif param is True:
ile_job.add_opt(opt.replace("_", "-"), None)
elif param is None or param is False:
continue
else:
ile_job.add_opt(opt.replace("_", "-"), str(param))
ile_job.add_condor_cmd('getenv', 'True')
ile_job.add_condor_cmd('request_memory', str(request_memory))
# Write requirements
# From https://github.com/lscsoft/lalsuite/blob/master/lalinference/python/lalinference/lalinference_pipe_utils.py
ile_job.add_condor_cmd('requirements', '&&'.join('({0})'.format(r) for r in requirements))
try:
ile_job.add_condor_cmd('accounting_group',os.environ['LIGO_ACCOUNTING'])
ile_job.add_condor_cmd('accounting_group_user',os.environ['LIGO_USER_NAME'])
except:
print(" LIGO accounting information not available. You must add this manually to integrate.sub !")
return ile_job, ile_sub_name
def write_psd_sub_BW_step1(tag='PSD_BW_post', exe=None, log_dir=None, ncopies=1,arg_str=None,request_memory=4096,arg_vals=None, transfer_files=None,transfer_output_files=None,use_singularity=False,use_osg=False,singularity_image=None,frames_dir=None,cache_file=None,channel_dict=None,psd_length=4,srate=4096,data_start_time=None,event_time=None,**kwargs):
"""
Write a submit file for launching jobs to marginalize the likelihood over intrinsic parameters.
Inputs:
- channel_dict['H1'] = [channel_name, flow_ifo]
Outputs:
- An instance of the CondorDAGJob that was generated for ILE
"""
exe = exe or which("BayesWavePost")
if exe is None:
print(" BayesWavePost not available, hard fail ")
import sys
sys.exit(0)
frames_local = None
ile_job = pipeline.CondorDAGJob(universe="vanilla", executable=exe)
# This is a hack since CondorDAGJob hides the queue property
ile_job._CondorJob__queue = ncopies
ile_sub_name = tag + '.sub'
ile_job.set_sub_file(ile_sub_name)
requirements =[]
#
# Logging options
#
uniq_str = "$(macroevent)-$(cluster)-$(process)"
ile_job.set_log_file("%s%s-%s.log" % (log_dir, tag, uniq_str))
ile_job.set_stderr_file("%s%s-%s.err" % (log_dir, tag, uniq_str))
ile_job.set_stdout_file("%s%s-%s.out" % (log_dir, tag, uniq_str))
#
# Add mandatory options
ile_job.add_opt('checkpoint', '')
ile_job.add_opt('bayesLine', '')
ile_job.add_opt('cleanOnly', '')
ile_job.add_opt('updateGeocenterPSD', '')
ile_job.add_opt('Nchain', '20')
ile_job.add_opt('Niter', '4000000')
ile_job.add_opt('Nbayesline', '2000')
ile_job.add_opt('dataseed', '1234') # make reproducible
ile_job.add_opt('trigtime', str(event_time))
ile_job.add_opt('psdstart', str(event_time-(psd_length-2)))
ile_job.add_opt('segment-start', str(event_time-(psd_length-2)))
ile_job.add_opt('seglen', str(psd_length))
ile_job.add_opt('srate', str(srate))
#
# Loop over IFOs
# Not needed, can do one job per PSD
# ile_job.add_opt("ifo","$(ifo)")
# ile_job.add_opt("$(ifo)-cache",cache_file)
for ifo in channel_dict:
channel_name, channel_flow = channel_dict[ifo]
ile_job.add_arg("--ifo "+ ifo) # need to prevent overwriting!
ile_job.add_opt(ifo+"-channel", ifo+":"+channel_name)
ile_job.add_opt(ifo+"-cache", cache_file)
ile_job.add_opt(ifo+"-flow", str(channel_flow))
# Add lame initial argument
if "output_file" in kwargs and kwargs["output_file"] is not None:
#
# Need to modify the output file so it's unique
#
ofname = kwargs["output_file"].split(".")
ofname, ext = ofname[0], ".".join(ofname[1:])
ile_job.add_file_opt("output-file", "%s-%s.%s" % (ofname, uniq_str, ext))
del kwargs["output_file"]
if "save_samples" in kwargs and kwargs["save_samples"] is True:
ile_job.add_opt("save-samples", None)
del kwargs["save_samples"]
#
# Add normal arguments
# FIXME: Get valid options from a module
#
for opt, param in list(kwargs.items()):
if isinstance(param, list) or isinstance(param, tuple):
# NOTE: Hack to get around multiple instances of the same option
for p in param:
ile_job.add_arg("--%s %s" % (opt.replace("_", "-"), str(p)))
elif param is True:
ile_job.add_opt(opt.replace("_", "-"), None)
elif param is None or param is False:
continue
else:
ile_job.add_opt(opt.replace("_", "-"), str(param))
ile_job.add_condor_cmd('getenv', 'True')
ile_job.add_condor_cmd('request_memory', str(request_memory))
# Write requirements
# From https://github.com/lscsoft/lalsuite/blob/master/lalinference/python/lalinference/lalinference_pipe_utils.py
ile_job.add_condor_cmd('requirements', '&&'.join('({0})'.format(r) for r in requirements))
try:
ile_job.add_condor_cmd('accounting_group',os.environ['LIGO_ACCOUNTING'])
ile_job.add_condor_cmd('accounting_group_user',os.environ['LIGO_USER_NAME'])
except:
print(" LIGO accounting information not available. You must add this manually to integrate.sub !")
return ile_job, ile_sub_name
def write_psd_sub_BW_step0(tag='PSD_BW', exe=None, log_dir=None, ncopies=1,arg_str=None,request_memory=4096,arg_vals=None, transfer_files=None,transfer_output_files=None,use_singularity=False,use_osg=False,singularity_image=None,frames_dir=None,cache_file=None,channel_dict=None,psd_length=4,srate=4096,data_start_time=None,event_time=None,**kwargs):
"""
Write a submit file for launching jobs to marginalize the likelihood over intrinsic parameters.
Inputs:
- channel_dict['H1'] = [channel_name, flow_ifo]
Outputs:
- An instance of the CondorDAGJob that was generated for ILE
"""
exe = exe or which("BayesWave")
if exe is None:
print(" BayesWave not available, hard fail ")
sys.exit(0)
frames_local = None
ile_job = pipeline.CondorDAGJob(universe="vanilla", executable=exe)
# This is a hack since CondorDAGJob hides the queue property
ile_job._CondorJob__queue = ncopies
ile_sub_name = tag + '.sub'
ile_job.set_sub_file(ile_sub_name)
requirements =[]
#
# Logging options
#
uniq_str = "$(macroevent)-$(cluster)-$(process)"
ile_job.set_log_file("%s%s-%s.log" % (log_dir, tag, uniq_str))
ile_job.set_stderr_file("%s%s-%s.err" % (log_dir, tag, uniq_str))
ile_job.set_stdout_file("%s%s-%s.out" % (log_dir, tag, uniq_str))
#
# Add mandatory options
ile_job.add_opt('checkpoint', '')
ile_job.add_opt('bayesLine', '')
ile_job.add_opt('cleanOnly', '')
ile_job.add_opt('updateGeocenterPSD', '')
ile_job.add_opt('Nchain', '20')
ile_job.add_opt('Niter', '4000000')
ile_job.add_opt('Nbayesline', '2000')
ile_job.add_opt('dataseed', '1234') # make reproducible
ile_job.add_opt('trigtime', str(event_time))
ile_job.add_opt('psdstart', str(event_time-(psd_length-2)))
ile_job.add_opt('segment-start', str(event_time-(psd_length-2)))
ile_job.add_opt('seglen', str(psd_length))
ile_job.add_opt('srate', str(srate))
#
# Loop over IFOs
for ifo in channel_dict:
channel_name, channel_flow = channel_dict[ifo]
ile_job.add_arg("--ifo " + ifo)
ile_job.add_opt(ifo+"-channel", ifo+":"+channel_name)
ile_job.add_opt(ifo+"-cache", cache_file)
ile_job.add_opt(ifo+"-flow", str(channel_flow))
ile_job.add_opt(ifo+"-timeslide", str(0.0))
# Add lame initial argument
if "output_file" in kwargs and kwargs["output_file"] is not None:
#
# Need to modify the output file so it's unique
#
ofname = kwargs["output_file"].split(".")
ofname, ext = ofname[0], ".".join(ofname[1:])
ile_job.add_file_opt("output-file", "%s-%s.%s" % (ofname, uniq_str, ext))
del kwargs["output_file"]
if "save_samples" in kwargs and kwargs["save_samples"] is True:
ile_job.add_opt("save-samples", None)
del kwargs["save_samples"]
#
# Add normal arguments
# FIXME: Get valid options from a module
#
for opt, param in list(kwargs.items()):
if isinstance(param, list) or isinstance(param, tuple):
# NOTE: Hack to get around multiple instances of the same option
for p in param:
ile_job.add_arg("--%s %s" % (opt.replace("_", "-"), str(p)))
elif param is True:
ile_job.add_opt(opt.replace("_", "-"), None)
elif param is None or param is False:
continue
else:
ile_job.add_opt(opt.replace("_", "-"), str(param))
ile_job.add_condor_cmd('getenv', 'True')
ile_job.add_condor_cmd('request_memory', str(request_memory))
# Write requirements
# From https://github.com/lscsoft/lalsuite/blob/master/lalinference/python/lalinference/lalinference_pipe_utils.py
ile_job.add_condor_cmd('requirements', '&&'.join('({0})'.format(r) for r in requirements))
try:
ile_job.add_condor_cmd('accounting_group',os.environ['LIGO_ACCOUNTING'])
ile_job.add_condor_cmd('accounting_group_user',os.environ['LIGO_USER_NAME'])
except:
print(" LIGO accounting information not available. You must add this manually to integrate.sub !")
return ile_job, ile_sub_name
def write_resample_sub(tag='resample', exe=None, file_input=None,file_output=None,universe="vanilla",arg_str='',log_dir=None, use_eos=False,ncopies=1, no_grid=False,**kwargs):
"""
Write a submit file for launching a 'resample' job
util_ResampleILEOutputWithExtrinsic.py
"""
exe = exe or which("util_ResampleILEOutputWithExtrinsic.py") # like cat, but properly accounts for *independent* duplicates. (Danger if identical). Also strips large errors
ile_job = pipeline.CondorDAGJob(universe=universe, executable=exe)
requirements=[]
if universe=='local':
requirements.append("IS_GLIDEIN=?=undefined")
ile_sub_name = tag + '.sub'
ile_job.set_sub_file(ile_sub_name)
if not(arg_str is None or len(arg_str)<2):
arg_str = arg_str.lstrip() # remove leading whitespace and minus signs
arg_str = arg_str.lstrip('-')
ile_job.add_opt(arg_str,'') # because we must be idiotic in how we pass arguments, I strip off the first two elements of the line
# ile_job.add_opt(arg_str[2:],'') # because we must be idiotic in how we pass arguments, I strip off the first two elements of the line
ile_job.add_opt('fname',file_input)
ile_job.add_opt('fname-out',file_output)
#
# Logging options
#
uniq_str = "$(macromassid)-$(cluster)-$(process)"
ile_job.set_log_file("%s%s-%s.log" % (log_dir, tag, uniq_str))
ile_job.set_stderr_file("%s%s-%s.err" % (log_dir, tag, uniq_str))
ile_job.set_stdout_file(file_output)
ile_job.add_condor_cmd('getenv', 'True')
# To change interactively:
# condor_qedit
# for example:
# for i in `condor_q -hold | grep oshaughn | awk '{print $1}'`; do condor_qedit $i RequestMemory 30000; done; condor_release -all
ile_job.add_condor_cmd('requirements', '&&'.join('({0})'.format(r) for r in requirements))
# no grid
if no_grid:
ile_job.add_condor_cmd("+DESIRED_SITES",'"nogrid"')
ile_job.add_condor_cmd("+flock_local",'true')
try:
ile_job.add_condor_cmd('accounting_group',os.environ['LIGO_ACCOUNTING'])
ile_job.add_condor_cmd('accounting_group_user',os.environ['LIGO_USER_NAME'])
except:
print(" LIGO accounting information not available. You must add this manually to integrate.sub !")
return ile_job, ile_sub_name
def write_cat_sub(tag='cat', exe=None, file_prefix=None,file_postfix=None,file_output=None,universe="vanilla",arg_str='',log_dir=None, use_eos=False,ncopies=1, no_grid=False,**kwargs):
"""
Write a submit file for launching a 'resample' job
util_ResampleILEOutputWithExtrinsic.py
"""
exe = exe or which("find") # like cat, but properly accounts for *independent* duplicates. (Danger if identical). Also strips large errors
exe_switch = which("switcheroo") # tool for patterend search-replace, to fix first line of output file
cmdname = 'catjob.sh'
with open(cmdname,'w') as f:
f.write("#! /bin/bash\n")
f.write(exe+" . -name '"+file_prefix+"*"+file_postfix+"' -exec cat {} \; | sort -r | uniq > "+file_output+";\n")
f.write(exe_switch + " 'm1 ' '# m1 ' "+file_output) # add standard prefix
os.system("chmod a+x "+cmdname)
ile_job = pipeline.CondorDAGJob(universe=universe, executable='catjob.sh')
requirements=[]
if universe=='local':
requirements.append("IS_GLIDEIN=?=undefined")
# no grid
if no_grid:
ile_job.add_condor_cmd("+DESIRED_SITES",'"nogrid"')
ile_job.add_condor_cmd("+flock_local",'true')
ile_sub_name = tag + '.sub'
ile_job.set_sub_file(ile_sub_name)
# ile_job.add_arg(" . -name '" + file_prefix + "*" +file_postfix+"' -exec cat {} \; ")
#
# Logging options
#
uniq_str = "$(macromassid)-$(cluster)-$(process)"
ile_job.set_log_file("%s%s-%s.log" % (log_dir, tag, uniq_str))
ile_job.set_stderr_file("%s%s-%s.err" % (log_dir, tag, uniq_str))
ile_job.set_stdout_file("%s%s-%s.out" % (log_dir, tag, uniq_str))
ile_job.add_condor_cmd('getenv', 'True')
try:
ile_job.add_condor_cmd('accounting_group',os.environ['LIGO_ACCOUNTING'])
ile_job.add_condor_cmd('accounting_group_user',os.environ['LIGO_USER_NAME'])
except:
print(" LIGO accounting information not available. You must add this manually to integrate.sub !")
return ile_job, ile_sub_name
def write_convertpsd_sub(tag='convert_psd', exe=None, ifo=None,file_input=None,target_dir=None,arg_str='',log_dir=None, universe='local',**kwargs):
"""
Write script to convert PSD from one format to another. Needs to be called once per PSD file being used.
"""
exe = exe or which("convert_psd_ascii2xml") # like cat, but properly accounts for *independent* duplicates. (Danger if identical). Also strips large errors
ile_job = pipeline.CondorDAGJob(universe=universe, executable=exe)
ile_sub_name = tag + '.sub'
ile_job.set_sub_file(ile_sub_name)
ile_job.add_opt("fname-psd-ascii",file_input)
ile_job.add_opt("ifo",ifo)
ile_job.add_arg("--conventional-postfix")
#
# Logging options
#
uniq_str = "$(cluster)-$(process)"
ile_job.set_log_file("%s%s-%s.log" % (log_dir, tag, uniq_str))
ile_job.set_stderr_file("%s%s-%s.err" % (log_dir, tag, uniq_str))
ile_job.set_stdout_file("%s%s-%s.out" % (log_dir, tag, uniq_str))
if not (target_dir is None):
# Copy output PSD into place
ile_job.add_condor_cmd("+PostCmd", '" cp '+ifo+'-psd.xml.gz ' + target_dir +'"')
ile_job.add_condor_cmd('getenv', 'True')
try:
ile_job.add_condor_cmd('accounting_group',os.environ['LIGO_ACCOUNTING'])
ile_job.add_condor_cmd('accounting_group_user',os.environ['LIGO_USER_NAME'])
except:
print(" LIGO accounting information not available. You must add this manually to integrate.sub !")
return ile_job, ile_sub_name
def write_joingrids_sub(tag='join_grids', exe=None, universe='vanilla', input_pattern=None,target_dir=None,output_base=None,log_dir=None,n_explode=1, gzip="/usr/bin/gzip", old_add=True, **kwargs):
"""
Write script to convert PSD from one format to another. Needs to be called once per PSD file being used.
"""
exe = exe or which("ligolw_add") # like cat, but properly accounts for *independent* duplicates. (Danger if identical). Also strips large errors
# exe_here = "my_join.sh"
# with open(exe_here,'w') as f:
# f.write("#! /bin/bash \n")
# f.write(r"""
# #!/bin/bash
# # Modules and scripts run directly from repository
# # Note the repo and branch are self-referential ! Not a robust solution long-term
# # Exit on failure:
# # set -e
# {} {} > {}/{}.xml
# gzip {}.{}.xml""".format(exe,input_pattern,target_dir,output_base,target_dir,output_base) )
# os.system("chmod a+x "+exe_here)
# exe = exe_here # update executable
ile_job = pipeline.CondorDAGJob(universe=universe, executable=exe)
ile_sub_name = tag + '.sub'
ile_job.set_sub_file(ile_sub_name)
fname_out =target_dir + "/" +output_base + ".xml.gz"
ile_job.add_arg("--output="+fname_out)
working_dir = log_dir.replace("/logs", '') # assumption about workflow/naming! Danger!
#
# Logging options
#
uniq_str = "$(cluster)-$(process)"
ile_job.set_log_file("%s%s-%s.log" % (log_dir, tag, uniq_str))
ile_job.set_stderr_file("%s%s-%s.err" % (log_dir, tag, uniq_str))
ile_job.set_stdout_file("%s%s-%s.out" % (log_dir, tag, uniq_str))
# ile_job.set_stdout_file(fname_out)
# ile_job.add_condor_cmd("+PostCmd", ' "' + gzip + ' ' +fname_out + '"')
explode_str = ""
for indx in np.arange(n_explode):
explode_str+= " {}/{}-{}.xml.gz ".format(working_dir,output_base,indx)
explode_str += " {}/{}.xml.gz ".format(working_dir,output_base)
ile_job.add_arg(explode_str)
# ile_job.add_arg("overlap-grid*.xml.gz") # working in our current directory
if old_add:
ile_job.add_opt("ilwdchar-compat",'') # needed?
ile_job.add_condor_cmd('getenv', 'True')
try:
ile_job.add_condor_cmd('accounting_group',os.environ['LIGO_ACCOUNTING'])
ile_job.add_condor_cmd('accounting_group_user',os.environ['LIGO_USER_NAME'])
except:
print(" LIGO accounting information not available. You must add this manually to integrate.sub !")
return ile_job, ile_sub_name
def write_subdagILE_sub(tag='subdag_ile', exe=None, universe='vanilla', submit_file=None,input_pattern=None,target_dir=None,output_suffix=None,log_dir=None,sim_xml=None, **kwargs):
"""
Write script to convert PSD from one format to another. Needs to be called once per PSD file being used.
"""
exe = exe or which("create_ile_sub_dag.py")
subfile = submit_file or 'ILE.sub'
ile_job = pipeline.CondorDAGJob(universe=universe, executable=exe)
ile_sub_name = tag + '.sub'
ile_job.set_sub_file(ile_sub_name)
ile_job.add_arg("--target-dir "+target_dir)
ile_job.add_arg("--output-suffix "+output_suffix)
ile_job.add_arg("--submit-script "+subfile)
ile_job.add_arg("--macroiteration $(macroiteration)")
ile_job.add_arg("--sim-xml "+sim_xml)
working_dir = log_dir.replace("/logs", '') # assumption about workflow/naming! Danger!
#
# Logging options
#
uniq_str = "$(cluster)-$(process)"
ile_job.set_log_file("%s%s-%s.log" % (log_dir, tag, uniq_str))
ile_job.set_stderr_file("%s%s-%s.err" % (log_dir, tag, uniq_str))
ile_job.set_stdout_file("%s%s-%s.out" % (log_dir, tag, uniq_str))
# ile_job.set_stdout_file(fname_out)
# ile_job.add_condor_cmd("+PostCmd", ' "' + gzip + ' ' +fname_out + '"')
ile_job.add_condor_cmd('getenv', 'True')
try:
ile_job.add_condor_cmd('accounting_group',os.environ['LIGO_ACCOUNTING'])
ile_job.add_condor_cmd('accounting_group_user',os.environ['LIGO_USER_NAME'])
except:
print(" LIGO accounting information not available. You must add this manually to integrate.sub !")
return ile_job, ile_sub_name
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] | 2.315732 | 30,944 |
# coding: utf-8
from flask import Flask
import mysql,os,re
from mysql import Pool
import properties
# 定义WEB容器(同时防止json以ascii解码返回)
app=Flask(__name__)
app.config['JSON_AS_ASCII'] = False
# 处理各模块中的自动注入以及组装各蓝图
# dir_path中为蓝图模块路径,例如需要引入的蓝图都在routes文件夹中,则传入参数'/routes'
print('加载数据库模块')
mysql.pool = Pool.Pool()
# print('加载完毕')
print('蓝图初始化')
for path in properties.blueprint_path:
map_apps(path)
| [
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] | 1.352542 | 295 |
from setuptools import setup, find_packages
import os
with open("README.md", "r") as fh:
long_description = fh.read()
setup(
name='sysmontask',
version='1.3.9',
description='System Monitor With UI Like Windows',
url='https://github.com/KrispyCamel4u/SysMonTask',
author='Neeraj Kumar',
author_email='[email protected]',
license='BSD-3',
long_description=long_description,
long_description_content_type="text/markdown",
classifiers=[
"Programming Language :: Python :: 3",
"License :: OSI Approved :: BSD License",
"Operating System :: POSIX :: Linux",
'Topic :: System :: Monitoring',
],
include_package_data=True,
data_files=get_data_files(),
install_requires=['psutil>=5.7.2','PyGObject','pycairo'],
packages=find_packages(),
entry_points=dict(
console_scripts=[
'sysmontask=sysmontask.sysmontask:start',
'sysmontask.set_default=sysmontask.theme_setter:set_theme_default',
'sysmontask.set_light=sysmontask.theme_setter:set_theme_light',
'sysmontask.set_dark=sysmontask.theme_setter:set_theme_dark']
)
)
os.system("sudo glib-compile-schemas /usr/share/glib-2.0/schemas")
print("gschema Compiled") | [
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220,
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220,
220,
220,
220,
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62,
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220,
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220,
220,
220,
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220,
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62,
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13,
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62,
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25,
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62,
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62,
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20520,
198,
220,
220,
220,
1267,
198,
8,
198,
198,
418,
13,
10057,
7203,
24032,
1278,
571,
12,
5589,
576,
12,
1416,
4411,
292,
1220,
14629,
14,
20077,
14,
4743,
571,
12,
17,
13,
15,
14,
1416,
4411,
292,
4943,
198,
4798,
7203,
70,
15952,
2611,
3082,
3902,
4943
] | 2.399621 | 528 |
from typing import List
import random
from time import sleep
from tweepy import Client
from TwitterAPI import TwitterAPI
| [
198,
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] | 4.241379 | 29 |
result = non_start('Hello', 'There')
print(result)
result = non_start('java', 'code')
print(result)
result = non_start('shotl', '')
print(result) | [
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] | 2.862745 | 51 |
import socket
import os
os.system("clear")
import colorama
from colorama import Fore, Back, Style, init
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.settimeout(5)
print("""
_ _
| |__ __ ___ _| | __ _
| '_ \ / _` \ \ /\ / / |/ /| |_
| | | | (_| |\ V V /| <_ _|
|_| |_|\__,_| \_/\_/ |_|\_\|_|
^port tarama^
""")
host = input(Fore.RED + "LÜTFEN İP ADRESİNİ GİRİNİZ : ")
port = int(input(Fore.RED + "TARATILACAK PORT ADRESİNİ GİRİNİZ : "))
portScanner(port)
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57,
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366,
4008,
198,
198,
634,
33351,
1008,
7,
634,
8,
198
] | 1.767742 | 310 |
# As comparison, the misleading plot when not turning the population number into a density
districts.plot(column='population', figsize=(12, 6), legend=True) | [
2,
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] | 4.105263 | 38 |
#!/usr/bin/env python
'Checks for standard headers and update version and copyright info in python files'
__url__ = 'http://github.com/silnrsi/pysilfont'
__copyright__ = 'Copyright (c) 2016 SIL International (http://www.sil.org)'
__license__ = 'Released under the MIT License (http://opensource.org/licenses/MIT)'
__author__ = 'David Raymond'
cyear = "2016" # Year to use if no other copyright year present
from silfont.core import execute
import os,sys
argspec = [
('action',{'help': 'Action - report or update', 'nargs': '?', 'default': 'report', 'choices': ('report','update')},{}),
('-l','--log',{'help': 'Log file'}, {'type': 'outfile', 'def': 'local/update_headers.log'})]
execute(None,doit, argspec)
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198,
198,
41049,
7,
14202,
11,
4598,
270,
11,
1822,
16684,
8,
628
] | 3 | 240 |
import atexit
import logging
from inspect import isclass
from .common_executors import BaseExecutor
from .externel_executors import ExternalExecutorFabric
from .java import *
from .operations import Operation, Operations
from .python import *
from ..utils import isstring
logger = logging.getLogger(__name__)
atexit.register(_close_executors)
del _close_executors
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62,
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315,
669,
198
] | 3.435185 | 108 |
for i in range(201, 0, -2):
print(i)
for i in range(100, 0, -1):
print(i)
| [
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198,
220,
220,
220,
3601,
7,
72,
8,
198
] | 1.930233 | 43 |
dias = int(input("Insira os dias para virarem segundos: "))
horas = int(input("Insira as horas para virarem segundos: "))
minutos = int(input("Insira os minutos para virarem segundos: "))
segundos = int(input("Insira os segundos para serem somados aos anteriores: "))
segundos += (dias * 86400) + (horas * 3600) + (minutos * 60)
print("Total de dias, horas, minutos e segundos informados foram de: " + str(segundos) + " segundos") | [
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325,
70,
917,
418,
8,
1343,
366,
384,
70,
917,
418,
4943
] | 2.457143 | 175 |
import tkinter as tk
import os
import random
import datetime
root = tk.Tk()
root.title("Motivation")
root.configure(background='white')
command=os.getcwd()+'/motivate/motivate.py'
quote=os.popen(command).read()
color=random.choice(['green','blue','purple','red','orange','brown','magenta','violet','maroon','olive','lime','teal','navy','DarkSlateGray','m','indigo','crimson'])
label=tk.Label(root, text = quote ,fg=color, bg='white', font='Helvetica 10',wraplength=900).pack()
if datetime.datetime.today().weekday() == 4 :
label=tk.Label(root, text = "Timesheet!!" ,fg='red', bg='white', font='Helvetica 20',wraplength=900,pady=10).pack()
quit_btn=tk.Button(root,text="Quit",command=root.destroy)
quit_btn.pack(side="bottom")
root.mainloop()
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14809,
41707,
17585,
41707,
14225,
1154,
41707,
445,
41707,
43745,
41707,
33282,
41707,
19726,
29188,
41707,
85,
19194,
41707,
3876,
2049,
41707,
349,
425,
41707,
27299,
41707,
660,
282,
41707,
77,
2830,
41707,
17367,
11122,
378,
46130,
41707,
76,
41707,
521,
14031,
41707,
50086,
1559,
6,
12962,
198,
18242,
28,
30488,
13,
33986,
7,
15763,
11,
2420,
796,
9577,
837,
40616,
28,
8043,
11,
275,
70,
11639,
11186,
3256,
10369,
11639,
39,
32667,
3970,
838,
3256,
29988,
489,
3286,
28,
12865,
737,
8002,
3419,
198,
361,
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8079,
13,
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8079,
13,
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22446,
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820,
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6624,
604,
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198,
220,
220,
220,
6167,
28,
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13,
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7,
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11,
2420,
796,
366,
28595,
25473,
37160,
837,
40616,
11639,
445,
3256,
275,
70,
11639,
11186,
3256,
10369,
11639,
39,
32667,
3970,
1160,
3256,
29988,
489,
3286,
28,
12865,
11,
79,
4597,
28,
940,
737,
8002,
3419,
198,
47391,
62,
46118,
28,
30488,
13,
21864,
7,
15763,
11,
5239,
2625,
4507,
270,
1600,
21812,
28,
15763,
13,
41659,
8,
198,
47391,
62,
46118,
13,
8002,
7,
1589,
2625,
22487,
4943,
198,
15763,
13,
12417,
26268,
3419,
628
] | 2.729927 | 274 |
from django.apps import AppConfig
| [
6738,
42625,
14208,
13,
18211,
1330,
2034,
16934,
628
] | 3.888889 | 9 |
"""Test normalizing gesture recording data."""
import os
import numpy as np
from iotai_sensor_classification.recording import read_recordings
from iotai_sensor_classification.normalization import normalize_mean_std_dict
from data.gestures import linear_accelerometer
from iotai_sensor_classification.plot_util import column_histograms, plot_columns, \
plot_lines, histogram_overlay
SAMPLES_PER_RECORDING = 160
| [
37811,
14402,
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6489,
1546,
62,
18973,
62,
38827,
12532,
2751,
796,
13454,
628
] | 3.291339 | 127 |
import json
from random import choice
from typing import Set
import click
import sqlalchemy as sa
from faker import Faker
from schema import Book
from sqlalchemy.orm import sessionmaker
from pgsync.base import pg_engine
from pgsync.constants import DELETE, INSERT, TG_OP, TRUNCATE, UPDATE
from pgsync.utils import get_config, show_settings, Timer
FIELDS = {
"isbn": "isbn13",
"title": "sentence",
"description": "text",
"copyright": "word",
}
@click.command()
@click.option(
"--config",
"-c",
help="Schema config",
type=click.Path(exists=True),
)
@click.option("--daemon", "-d", is_flag=True, help="Run as a daemon")
@click.option("--nsize", "-n", default=5000, help="Number of samples")
@click.option(
"--tg_op",
"-t",
help="TG_OP",
type=click.Choice(
TG_OP,
case_sensitive=False,
),
)
if __name__ == "__main__":
main()
| [
11748,
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198,
31,
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7,
198,
220,
220,
220,
366,
438,
11250,
1600,
198,
220,
220,
220,
27444,
66,
1600,
198,
220,
220,
220,
1037,
2625,
27054,
2611,
4566,
1600,
198,
220,
220,
220,
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28,
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13,
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7,
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28,
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828,
198,
8,
198,
31,
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13,
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7203,
438,
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67,
1600,
318,
62,
32109,
28,
17821,
11,
1037,
2625,
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355,
257,
33386,
4943,
198,
31,
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13,
18076,
7203,
438,
5907,
1096,
1600,
27444,
77,
1600,
4277,
28,
27641,
11,
1037,
2625,
15057,
286,
8405,
4943,
198,
31,
12976,
13,
18076,
7,
198,
220,
220,
220,
366,
438,
25297,
62,
404,
1600,
198,
220,
220,
220,
27444,
83,
1600,
198,
220,
220,
220,
1037,
2625,
35990,
62,
3185,
1600,
198,
220,
220,
220,
2099,
28,
12976,
13,
46770,
7,
198,
220,
220,
220,
220,
220,
220,
220,
44121,
62,
3185,
11,
198,
220,
220,
220,
220,
220,
220,
220,
1339,
62,
30176,
28,
25101,
11,
198,
220,
220,
220,
10612,
198,
8,
628,
198,
361,
11593,
3672,
834,
6624,
366,
834,
12417,
834,
1298,
198,
220,
220,
220,
1388,
3419,
198
] | 2.558074 | 353 |
import requests
import json
aspace_url = 'http://localhost:8089'
username = 'admin'
password = 'admin'
repo_num = '2'
auth = requests.post(aspace_url+'/users/'+username+'/login?password='+password).json()
session = auth["session"]
headers = {'X-ArchivesSpace-Session':session}
for d in range(1,6):
resource_json = requests.get(aspace_url+'/repositories/'+repo_num+'/resources/'+str(d), headers=headers).json()
resource_title = resource_json['title']
print 'Current title is: ' +resource_title
if 'Papers' in resource_title:
resource_json["title"] = resource_json['title'].replace(" Papers"," papers")
updated = requests.post(aspace_url+'/repositories/'+repo_num+'/resources/'+str(d), headers=headers, data=json.dumps(resource_json))
print 'New title is: ' + resource_json["title"]
| [
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6,
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33491,
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2430,
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4943,
198,
197,
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7007,
13,
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7,
5126,
558,
62,
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10,
26488,
260,
1930,
270,
1749,
14,
6,
10,
260,
7501,
62,
22510,
10,
26488,
37540,
14,
6,
10,
2536,
7,
67,
828,
24697,
28,
50145,
11,
1366,
28,
17752,
13,
67,
8142,
7,
31092,
62,
17752,
4008,
198,
197,
197,
4798,
705,
3791,
3670,
318,
25,
705,
1343,
8271,
62,
17752,
14692,
7839,
8973,
198
] | 2.876812 | 276 |
__author__ = 'Akshay'
| [
834,
9800,
834,
796,
705,
32,
50133,
323,
6,
628,
198
] | 2.181818 | 11 |
# -*- coding: utf-8 -*-
"""
:copyright: (C) 2010-2013 by Contrail Consortium.
"""
from threading import Thread
from conpaas.core.expose import expose
from conpaas.core.manager import BaseManager
from conpaas.core.manager import ManagerException
from conpaas.core.https.server import HttpJsonResponse, HttpErrorResponse
from conpaas.services.xtreemfs.agent import client
import uuid
import base64
import subprocess
| [
2,
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334,
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198,
11748,
2779,
2414,
198,
11748,
850,
14681,
198
] | 3.125 | 136 |
import os
import sys
# enter path to the directory with the files
x = input('Absolute path of folder, from which empty subfolders are to be removed: ')
# check if path is valid
if not os.path.exists(x):
print('Invalid path\nTerminating program')
sys.exit()
# cleanup of empty subfolders
walk = list(os.walk('/home/naman/Desktop/del_folders/folder_struct'))
for path, folders, files in walk:
if (len(folders) == 0) and (len(files) == 0):
os.rmdir(path)
print(f'Removed empty directory: {path}')
| [
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7,
69,
6,
45975,
6565,
8619,
25,
1391,
6978,
92,
11537,
198
] | 2.919075 | 173 |
import unittest
import mock
from tempfile import NamedTemporaryFile
from pynxos.features.file_copy import FileCopy, FileTransferError
if __name__ == "__main__":
unittest.main() | [
11748,
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] | 3.155172 | 58 |
"""Jeff Bay's Object Calisthenics Rules."""
# 1. One level of indentation per method
# * Pylint's "checkers.refactoring", max-nested-blocks=1
# * Pylint's "checkers.design_analysis", max-branches=1
# * DONE
# 2. Don't use the ELSE keyword
import checkers.no_else
# * also Pylint's "checkers.refactoring", max-nested-blocks=1
# * DONE
# 3. Wrap all primitives and Strings
# 4. First class collections
import checkers.first_class_collections
# * knows [], (), list(), set() and comprehensions.
# TODO add support for more types of collections
# * (kind of) DONE
# 5. One dot per line
import checkers.one_dot_per_line
# * DONE
# 6. Don't abbreviate
# TODO short names
# * good-names=reset
# 7. Keep all entities small
import checkers.small_entities
# * no class over 45 statements, no module over 10 classes, no module over 45 statements.
# * (kind of) DONE
# 8. No classes with more than two instance variables
import checkers.two_instance_variables
# * also Pylint's "checkers.design_analysis", max-attributes=2
# * DONE
# 9. No getters/setters/properties
import checkers.no_properties
# TODO do not use manual getters/setters
# * (kind of) DONE
| [
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17,
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2,
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2,
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198,
2,
1635,
357,
11031,
286,
8,
360,
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198
] | 3.036842 | 380 |
# © 2020 Amgen Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# function to help parse query params from bokeh server url
DEFAULT_PLOT_HEIGHT = 500
DEFAULT_PLOT_WIDTH = 800
| [
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] | 3.509901 | 202 |
from .user import UserResource
from .movie import MovieResource,MovieAuthorResource
from .note import NoteResource, NoteAllResource
| [
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] | 4.551724 | 29 |
from Tkinter import *
from tkMessageBox import *
from tkFileDialog import *
from SQLinjector import *
import time
import websitedata
Home()
| [
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#!/usr/bin/env python3
# Copyright 2019 Mobvoi AI Lab, Beijing, China (author: Fangjun Kuang)
# Apache 2.0
import os
import sys
sys.path.insert(0, os.path.join(os.path.dirname(__file__), os.pardir))
import unittest
import numpy as np
import kaldi
if __name__ == '__main__':
unittest.main()
| [
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] | 2.576271 | 118 |
from flask import Blueprint, request, render_template, jsonify
from flask_login import current_user
from src.controllers.supporting_lists.manage_lists import manage, update_item
from src.models.type import TypeDataAccess
from src.models.tag import TagDataAccess
from src.models.research_group import *
from src.models.study_field import *
from src.models.employee import *
from src.models.db import get_db
bp = Blueprint('manage_lists', __name__)
@bp.route('/modify-lists', methods=["GET", "POST"])
def modify_lists():
"""
Handles the GET & POST request to '/modify-lists'.
GET: requests to render page
POST: request managing sent data
:return: Json with failure status / template rendering / function call to manage data
"""
if not current_user.is_authenticated or current_user.role == "student":
return jsonify({'success': False}), 400, {'ContentType': 'application/json'}
if request.method == "GET":
return render_template('supporting_lists.html')
else:
return manage(request.json)
@bp.route('/get-all-list-data', methods=['GET'])
def get_all_list_data():
"""
Handles the GET request to '/get-all-list-data'.
:return: Json with all list data
"""
conn = get_db()
all_types = TypeDataAccess(conn).get_types(False)
all_tags = TagDataAccess(conn).get_tags()
all_groups = ResearchGroupDataAccess(conn).get_research_groups(False)
all_employees = EmployeeDataAccess(conn).get_employees(False)
result = {
"types": [obj.to_dict() for obj in all_types],
"tags": all_tags,
"research groups": [obj.to_dict() for obj in all_groups],
"employees": [obj.to_dict() for obj in all_employees]
}
return jsonify(result)
@bp.route("/update-profile", methods=["POST"])
def update_profile():
"""
Handles the POST request to '/update-profile'.
:return: function call to update_item with sent data
"""
return update_item(request.json)
| [
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1441,
4296,
62,
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7,
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13,
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8,
198
] | 2.872464 | 690 |
# -*- coding: utf-8 -*-
# @Author: ander
# @Date: 2020-12-22 16:19:51
# @Last Modified by: ander
# @Last Modified time: 2020-12-22 16:25:49
import pdfplumber
from PyPDF2 import PdfFileReader, PdfFileWriter, PdfFileMerger
import os.path
from .utilities import mkdir
class PDFBot(object):
"""docstring for ExcelBot"""
| [
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] | 2.629032 | 124 |
# -*- coding: utf-8 -*-
###
# (C) Copyright [2019] Hewlett Packard Enterprise Development LP
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
###
from unittest import TestCase
import mock
from hpOneView.connection import connection
from hpOneView.resources.settings.backups import Backups
from hpOneView.resources.resource import ResourceClient
| [
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351,
262,
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13,
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2,
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743,
7330,
257,
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286,
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379,
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2,
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2,
220,
220,
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13,
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14,
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14,
43,
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12,
17,
13,
15,
198,
2,
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2,
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416,
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319,
281,
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1921,
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1,
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11,
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4911,
393,
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13,
198,
2,
4091,
262,
13789,
329,
262,
2176,
3303,
15030,
21627,
290,
198,
2,
11247,
739,
262,
13789,
13,
198,
21017,
198,
198,
6738,
555,
715,
395,
1330,
6208,
20448,
198,
198,
11748,
15290,
198,
198,
6738,
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3198,
7680,
13,
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1330,
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6738,
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3198,
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13,
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13,
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13,
1891,
4739,
1330,
5157,
4739,
198,
6738,
27673,
3198,
7680,
13,
37540,
13,
31092,
1330,
20857,
11792,
628
] | 3.767857 | 224 |
import zipcodes
import listings
import bnbcalendar
import finance
from pprint import pprint
if __name__ == "__main__":
region_average_revenue(zipcodes.get_all_cape_cod_zip_codes)
| [
11748,
19974,
40148,
198,
11748,
26890,
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275,
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62,
439,
62,
36435,
62,
19815,
62,
13344,
62,
40148,
8,
628
] | 2.811594 | 69 |
#
# demo_spam_classifier.py
#
# Multinomial Naive Bays Classifier.
#
# Based-on:
#
# https://www.udemy.com/data-science-and-machine-learning-with-python-hands-on/
# http://blog.datumbox.com/machine-learning-tutorial-the-naive-bayes-text-classifier/
#
import os
import io
import numpy
from pandas import DataFrame
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.naive_bayes import MultinomialNB
'''
Convenience functions to read the emails and store their messages and
classes in a pandas dataframe.
'''
'''
Read the data and store it in a pandas dataframe.
'''
data = DataFrame({'message': [], 'class': []})
data = data.append(dataFrameFromDirectory('../datasets/emails/ham', 'ham'))
data = data.append(dataFrameFromDirectory('../datasets/emails/spam', 'spam'))
'''
We pass an array of messages to vectorizer.fit_transform(), it will convert
each word to a global token and count the occurences across all emails.
'''
vectorizer = CountVectorizer()
counts = vectorizer.fit_transform(data['message'].values)
'''
Now we train a Multinomial Naive Bayes Classifier using the frequencies
obtained from last step. We'll use this variant of the algorithm because
our premise is that spams tend to contain certain words that can easily
identify the nefarious purpose of them.
'''
classifier = MultinomialNB()
targets = data['class'].values
classifier.fit(counts, targets)
'''
Run some examples to test the classifier.
'''
examples = ['Free Viagra now!!!', "Hi Bob, how about a game of golf tomorrow?", "Luke... I'm your father."]
example_counts = vectorizer.transform(examples)
predictions = classifier.predict(example_counts)
print(predictions)
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7,
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62,
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82,
8,
198,
198,
4798,
7,
28764,
9278,
8,
198
] | 3.206501 | 523 |
ports = [80, 433, 8080, 8000]
| [
3742,
796,
685,
1795,
11,
47407,
11,
4019,
1795,
11,
38055,
60,
628
] | 2.384615 | 13 |
#
# Copyright (c) nexB Inc. and others. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
# See http://www.apache.org/licenses/LICENSE-2.0 for the license text.
# See https://github.com/nexB/commoncode for support or download.
# See https://aboutcode.org for more information about nexB OSS projects.
#
import os
from datetime import datetime
from commoncode.system import on_posix
from commoncode.functional import memoize
"""
Low level file type utilities, essentially a wrapper around os.path and stat.
"""
def is_link(location):
"""
Return True if `location` is a symbolic link.
"""
return location and os.path.islink(location)
def is_file(location, follow_symlinks=False):
"""
Return True if `location` is a file.
"""
_is_file = location and os.path.isfile(location)
if follow_symlinks:
return _is_file
return _is_file and not is_link(location) and not is_broken_link(location)
def is_dir(location, follow_symlinks=False):
"""
Return True if `location` is a directory.
"""
_is_dir = location and os.path.isdir(location) and not is_file(location)
if follow_symlinks:
return _is_dir
return _is_dir and not is_link(location) and not is_broken_link(location)
def is_regular(location):
"""
Return True if `location` is regular. A regular location is a file or a
dir and not a special file or symlink.
"""
return location and (is_file(location) or is_dir(location))
def is_special(location):
"""
Return True if `location` is a special file . A special file is not a
regular file, i.e. anything such as a broken link, block file, fifo,
socket, character device or else.
"""
return not is_regular(location)
def is_broken_link(location):
"""
Return True if `location` is a broken link.
"""
# always false on windows, until Python supports junctions/links
if on_posix and is_link(location):
target = get_link_target(location)
target_loc = os.path.join(os.path.dirname(location), target)
return target and not os.path.exists(target_loc)
def get_link_target(location):
"""
Return the link target for `location` if this is a Link or an empty
string.
"""
target = ''
# always false on windows, until Python supports junctions/links
if on_posix and is_link(location):
try:
# return false on OSes not supporting links
target = os.readlink(location)
except UnicodeEncodeError:
# location is unicode but readlink can fail in some cases
pass
return target
# Map of type checker function -> short type code
# The order of types check matters: link -> file -> directory -> special
TYPES = dict([
(is_link, ('l', 'link',)),
(is_file, ('f', 'file',)),
(is_dir, ('d', 'directory',)),
(is_special, ('s', 'special',))
])
def get_type(location, short=True):
"""
Return the type of the `location` or None if it does not exist.
Return the short form (single character) or long form if short=False
"""
if location:
for type_checker in TYPES:
tc = type_checker(location)
if tc:
short_form, long_form = TYPES[type_checker]
return short and short_form or long_form
def is_readable(location):
"""
Return True if the file at location has readable permission set.
Does not follow links.
"""
if location:
if is_dir(location):
return os.access(location, os.R_OK | os.X_OK)
else:
return os.access(location, os.R_OK)
def is_writable(location):
"""
Return True if the file at location has writeable permission set.
Does not follow links.
"""
if location:
if is_dir(location):
return os.access(location, os.R_OK | os.W_OK | os.X_OK)
else:
return os.access(location, os.R_OK | os.W_OK)
def is_executable(location):
"""
Return True if the file at location has executable permission set.
Does not follow links.
"""
if location:
if is_dir(location):
return os.access(location, os.R_OK | os.W_OK | os.X_OK)
else:
return os.access(location, os.X_OK)
def is_rwx(location):
"""
Return True if the file at location has read, write and executable
permission set. Does not follow links.
"""
return is_readable(location) and is_writable(location) and is_executable(location)
def get_last_modified_date(location):
"""
Return the last modified date stamp of a file as YYYYMMDD format. The date
of non-files (dir, links, special) is always an empty string.
"""
yyyymmdd = ''
if is_file(location):
utc_date = datetime.isoformat(
datetime.utcfromtimestamp(os.path.getmtime(location))
)
yyyymmdd = utc_date[:10]
return yyyymmdd
counting_functions = {
'file_count': lambda _: 1,
'file_size': os.path.getsize,
}
@memoize
def counter(location, counting_function):
"""
Return a count for a single file or a cumulative count for a directory
tree at `location`.
Get a callable from the counting_functions registry using the
`counting_function` string. Call this callable with a `location` argument
to determine the count value for a single file. This allow memoization
with hashable arguments.
Only regular files and directories have a count. The count for a directory
is the recursive count sum of the directory file and directory
descendants.
Any other file type such as a special file or link has a zero size. Does
not follow links.
"""
if not (is_file(location) or is_dir(location)):
return 0
count = 0
if is_file(location):
count_fun = counting_functions[counting_function]
return count_fun(location)
elif is_dir(location):
count += sum(counter(os.path.join(location, p), counting_function)
for p in os.listdir(location))
return count
def get_file_count(location):
"""
Return the cumulative number of files in the directory tree at `location`
or 1 if `location` is a file. Only regular files are counted. Everything
else has a zero size.
"""
return counter(location, 'file_count')
def get_size(location):
"""
Return the size in bytes of a file at `location` or if `location` is a
directory, the cumulative size of all files in this directory tree. Only
regular files have a size. Everything else has a zero size.
"""
return counter(location, 'file_size')
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""" Script to send prediction request.
Usage:
python predict.py --url=YOUR_KF_HOST/models/coco --input_image=YOUR_LOCAL_IMAGE
--output_image=OUTPUT_IMAGE_NAME.
This will save the prediction result as OUTPUT_IMAGE_NAME.
The output image is the input image with the detected bounding boxes.
"""
import argparse
import json
import requests
import numpy as np
from PIL import Image
import visualization_utils as vis_util
WIDTH = 1024
HEIGHT = 768
if __name__ == '__main__':
main()
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from selenium import webdriver
browser = webdriver.Firefox()
browser.get('http://0.0.0.0:8000')
print(browser.title)
assert 'Django' in browser.title
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# Generated by Django 2.2.13 on 2020-07-23 16:13
from django.db import migrations
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# Copyright (c) OpenMMLab. All rights reserved.
from .base import BaseWeightedLoss
from .binary_logistic_regression_loss import BinaryLogisticRegressionLoss
from .bmn_loss import BMNLoss
from .cross_entropy_loss import BCELossWithLogits, CrossEntropyLoss
from .hvu_loss import HVULoss
from .nll_loss import NLLLoss
from .ohem_hinge_loss import OHEMHingeLoss
from .ssn_loss import SSNLoss
from .slowfast_selfsupervised_loss import SlowFastSelfSupervisedLoss, ContrastiveLoss, SingleInstanceContrastiveLoss, SingleInstanceContrastiveLossv2
from .multiple_contrastive_loss import MultipleContrastiveLoss, MultipleContrastiveSingleInstanceLoss
from .moco_loss import MocoLoss
__all__ = [
'BaseWeightedLoss', 'CrossEntropyLoss', 'NLLLoss', 'BCELossWithLogits',
'BinaryLogisticRegressionLoss', 'BMNLoss', 'OHEMHingeLoss', 'SSNLoss',
'HVULoss', 'SlowFastSelfSupervisedLoss', 'MultipleContrastiveLoss',
'ContrastiveLoss', 'MocoLoss', 'SingleInstanceContrastiveLoss', 'MultipleContrastiveSingleInstanceLoss', 'SingleInstanceContrastiveLossv2'
]
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from flask import Flask, render_template, url_for, request, redirect, send_from_directory, session, flash
from functools import wraps
from .db import init_db
from .models.object import Object
from .controllers.object import ObjectController
from .controllers.user import UserController
from flask import jsonify
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/home/runner/.cache/pip/pool/3a/e8/d9/6b866f26f3d0047a518cb59b619be509f29a97d30cbaa9657343abd771 | [
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"""
Django REST Framework serializers for the User API Accounts sub-application
"""
import json
import logging
import re
from django.conf import settings
from django.contrib.auth.models import User # lint-amnesty, pylint: disable=imported-auth-user
from django.core.exceptions import ObjectDoesNotExist
from django.urls import reverse
from rest_framework import serializers
from edx_name_affirmation.toggles import is_verified_name_enabled
from common.djangoapps.student.models import (
LanguageProficiency,
PendingNameChange,
SocialLink,
UserPasswordToggleHistory,
UserProfile
)
from lms.djangoapps.badges.utils import badges_enabled
from openedx.core.djangoapps.site_configuration import helpers as configuration_helpers
from openedx.core.djangoapps.user_api import errors
from openedx.core.djangoapps.user_api.accounts.utils import is_secondary_email_feature_enabled
from openedx.core.djangoapps.user_api.models import RetirementState, UserPreference, UserRetirementStatus
from openedx.core.djangoapps.user_api.serializers import ReadOnlyFieldsSerializerMixin
from openedx.core.djangoapps.user_authn.views.registration_form import contains_html, contains_url
from . import (
ACCOUNT_VISIBILITY_PREF_KEY,
ALL_USERS_VISIBILITY,
BIO_MAX_LENGTH,
CUSTOM_VISIBILITY,
NAME_MIN_LENGTH,
PRIVATE_VISIBILITY,
VISIBILITY_PREFIX
)
from .image_helpers import get_profile_image_urls_for_user
from .utils import format_social_link, validate_social_link
PROFILE_IMAGE_KEY_PREFIX = 'image_url'
LOGGER = logging.getLogger(__name__)
class PhoneNumberSerializer(serializers.BaseSerializer): # lint-amnesty, pylint: disable=abstract-method
"""
Class to serialize phone number into a digit only representation
"""
def to_internal_value(self, data):
"""Remove all non numeric characters in phone number"""
return re.sub("[^0-9]", "", data) or None
class LanguageProficiencySerializer(serializers.ModelSerializer):
"""
Class that serializes the LanguageProficiency model for account
information.
"""
def get_identity(self, data):
"""
This is used in bulk updates to determine the identity of an object.
The default is to use the id of an object, but we want to override that
and consider the language code to be the canonical identity of a
LanguageProficiency model.
"""
try:
return data.get('code', None)
except AttributeError:
return None
class SocialLinkSerializer(serializers.ModelSerializer):
"""
Class that serializes the SocialLink model for the UserProfile object.
"""
def validate_platform(self, platform):
"""
Validate that the platform value is one of (facebook, twitter or linkedin)
"""
valid_platforms = ["facebook", "twitter", "linkedin"]
if platform not in valid_platforms:
raise serializers.ValidationError(
"The social platform must be facebook, twitter or linkedin"
)
return platform
class UserReadOnlySerializer(serializers.Serializer): # lint-amnesty, pylint: disable=abstract-method
"""
Class that serializes the User model and UserProfile model together.
"""
def to_representation(self, user): # lint-amnesty, pylint: disable=arguments-differ
"""
Overwrite to_native to handle custom logic since we are serializing three models as one here
:param user: User object
:return: Dict serialized account
"""
try:
user_profile = user.profile
except ObjectDoesNotExist:
user_profile = None
LOGGER.warning("user profile for the user [%s] does not exist", user.username)
try:
account_recovery = user.account_recovery
except ObjectDoesNotExist:
account_recovery = None
try:
activation_key = user.registration.activation_key
except ObjectDoesNotExist:
activation_key = None
accomplishments_shared = badges_enabled()
data = {
"username": user.username,
"url": self.context.get('request').build_absolute_uri(
reverse('accounts_api', kwargs={'username': user.username})
),
"email": user.email,
"id": user.id,
# For backwards compatibility: Tables created after the upgrade to Django 1.8 will save microseconds.
# However, mobile apps are not expecting microsecond in the serialized value. If we set it to zero the
# DRF JSONEncoder will not include it in the serialized value.
# https://docs.djangoproject.com/en/1.8/ref/databases/#fractional-seconds-support-for-time-and-datetime-fields
"date_joined": user.date_joined.replace(microsecond=0),
"last_login": user.last_login,
"is_active": user.is_active,
"activation_key": activation_key,
"bio": None,
"country": None,
"state": None,
"profile_image": None,
"language_proficiencies": None,
"name": None,
"gender": None,
"goals": None,
"year_of_birth": None,
"level_of_education": None,
"mailing_address": None,
"requires_parental_consent": None,
"accomplishments_shared": accomplishments_shared,
"account_privacy": self.configuration.get('default_visibility'),
"social_links": None,
"extended_profile_fields": None,
"phone_number": None,
"pending_name_change": None,
"is_verified_name_enabled": is_verified_name_enabled(),
}
if user_profile:
data.update(
{
"bio": AccountLegacyProfileSerializer.convert_empty_to_None(user_profile.bio),
"country": AccountLegacyProfileSerializer.convert_empty_to_None(user_profile.country.code),
"state": AccountLegacyProfileSerializer.convert_empty_to_None(user_profile.state),
"profile_image": AccountLegacyProfileSerializer.get_profile_image(
user_profile, user, self.context.get('request')
),
"language_proficiencies": LanguageProficiencySerializer(
user_profile.language_proficiencies.all().order_by('code'), many=True
).data,
"name": user_profile.name,
"gender": AccountLegacyProfileSerializer.convert_empty_to_None(user_profile.gender),
"goals": user_profile.goals,
"year_of_birth": user_profile.year_of_birth,
"level_of_education": AccountLegacyProfileSerializer.convert_empty_to_None(
user_profile.level_of_education
),
"mailing_address": user_profile.mailing_address,
"requires_parental_consent": user_profile.requires_parental_consent(),
"account_privacy": get_profile_visibility(user_profile, user, self.configuration),
"social_links": SocialLinkSerializer(
user_profile.social_links.all().order_by('platform'), many=True
).data,
"extended_profile": get_extended_profile(user_profile),
"phone_number": user_profile.phone_number,
}
)
try:
pending_name_change = PendingNameChange.objects.get(user=user)
data.update({"pending_name_change": pending_name_change.new_name})
except PendingNameChange.DoesNotExist:
pass
if is_secondary_email_feature_enabled():
data.update(
{
"secondary_email": account_recovery.secondary_email if account_recovery else None,
"secondary_email_enabled": True,
}
)
if self.custom_fields:
fields = self.custom_fields
elif user_profile:
fields = _visible_fields(user_profile, user, self.configuration)
else:
fields = self.configuration.get('public_fields')
return self._filter_fields(
fields,
data
)
def _filter_fields(self, field_whitelist, serialized_account):
"""
Filter serialized account Dict to only include whitelisted keys
"""
visible_serialized_account = {}
for field_name in field_whitelist:
visible_serialized_account[field_name] = serialized_account.get(field_name, None)
return visible_serialized_account
class UserAccountDisableHistorySerializer(serializers.ModelSerializer):
"""
Class that serializes User account disable history
"""
created_by = serializers.SerializerMethodField()
class AccountUserSerializer(serializers.HyperlinkedModelSerializer, ReadOnlyFieldsSerializerMixin):
"""
Class that serializes the portion of User model needed for account information.
"""
password_toggle_history = UserAccountDisableHistorySerializer(many=True, required=False)
class AccountLegacyProfileSerializer(serializers.HyperlinkedModelSerializer, ReadOnlyFieldsSerializerMixin):
"""
Class that serializes the portion of UserProfile model needed for account information.
"""
profile_image = serializers.SerializerMethodField("_get_profile_image")
requires_parental_consent = serializers.SerializerMethodField()
language_proficiencies = LanguageProficiencySerializer(many=True, required=False)
social_links = SocialLinkSerializer(many=True, required=False)
phone_number = PhoneNumberSerializer(required=False)
def validate_bio(self, new_bio):
""" Enforce maximum length for bio. """
if len(new_bio) > BIO_MAX_LENGTH:
raise serializers.ValidationError(
f"The about me field must be at most {BIO_MAX_LENGTH} characters long."
)
return new_bio
def validate_name(self, new_name):
""" Enforce minimum length for name. """
if len(new_name) < NAME_MIN_LENGTH:
raise serializers.ValidationError(
f"The name field must be at least {NAME_MIN_LENGTH} character long."
)
return new_name
def validate_language_proficiencies(self, value):
"""
Enforce all languages are unique.
"""
language_proficiencies = [language for language in value] # lint-amnesty, pylint: disable=unnecessary-comprehension
unique_language_proficiencies = {language["code"] for language in language_proficiencies}
if len(language_proficiencies) != len(unique_language_proficiencies):
raise serializers.ValidationError("The language_proficiencies field must consist of unique languages.")
return value
def validate_social_links(self, value):
"""
Enforce only one entry for a particular social platform.
"""
social_links = [social_link for social_link in value] # lint-amnesty, pylint: disable=unnecessary-comprehension
unique_social_links = {social_link["platform"] for social_link in social_links}
if len(social_links) != len(unique_social_links):
raise serializers.ValidationError("The social_links field must consist of unique social platforms.")
return value
def transform_gender(self, user_profile, value): # pylint: disable=unused-argument
"""
Converts empty string to None, to indicate not set. Replaced by to_representation in version 3.
"""
return AccountLegacyProfileSerializer.convert_empty_to_None(value)
def transform_country(self, user_profile, value): # pylint: disable=unused-argument
"""
Converts empty string to None, to indicate not set. Replaced by to_representation in version 3.
"""
return AccountLegacyProfileSerializer.convert_empty_to_None(value)
def transform_level_of_education(self, user_profile, value): # pylint: disable=unused-argument
"""
Converts empty string to None, to indicate not set. Replaced by to_representation in version 3.
"""
return AccountLegacyProfileSerializer.convert_empty_to_None(value)
def transform_bio(self, user_profile, value): # pylint: disable=unused-argument
"""
Converts empty string to None, to indicate not set. Replaced by to_representation in version 3.
"""
return AccountLegacyProfileSerializer.convert_empty_to_None(value)
def transform_phone_number(self, user_profile, value): # pylint: disable=unused-argument
"""
Converts empty string to None, to indicate not set. Replaced by to_representation in version 3.
"""
return AccountLegacyProfileSerializer.convert_empty_to_None(value)
@staticmethod
def convert_empty_to_None(value):
"""
Helper method to convert empty string to None (other values pass through).
"""
return None if value == "" else value
@staticmethod
def get_profile_image(user_profile, user, request=None):
"""
Returns metadata about a user's profile image.
"""
data = {'has_image': user_profile.has_profile_image}
urls = get_profile_image_urls_for_user(user, request)
data.update({
f'{PROFILE_IMAGE_KEY_PREFIX}_{size_display_name}': url
for size_display_name, url in urls.items()
})
return data
def get_requires_parental_consent(self, user_profile):
"""
Returns a boolean representing whether the user requires parental controls.
"""
return user_profile.requires_parental_consent()
def _get_profile_image(self, user_profile):
"""
Returns metadata about a user's profile image
This protected method delegates to the static 'get_profile_image' method
because 'serializers.SerializerMethodField("_get_profile_image")' will
call the method with a single argument, the user_profile object.
"""
return AccountLegacyProfileSerializer.get_profile_image(user_profile, user_profile.user)
def _update_social_links(self, instance, requested_social_links):
"""
Update the given profile instance's social links as requested.
"""
try:
new_social_links = []
deleted_social_platforms = []
for requested_link_data in requested_social_links:
requested_platform = requested_link_data['platform']
requested_link_url = requested_link_data['social_link']
validate_social_link(requested_platform, requested_link_url)
formatted_link = format_social_link(requested_platform, requested_link_url)
if not formatted_link:
deleted_social_platforms.append(requested_platform)
else:
new_social_links.append(
SocialLink(user_profile=instance, platform=requested_platform, social_link=formatted_link)
)
platforms_of_new_social_links = [s.platform for s in new_social_links]
current_social_links = list(instance.social_links.all())
unreplaced_social_links = [
social_link for social_link in current_social_links
if social_link.platform not in platforms_of_new_social_links
]
pruned_unreplaced_social_links = [
social_link for social_link in unreplaced_social_links
if social_link.platform not in deleted_social_platforms
]
merged_social_links = new_social_links + pruned_unreplaced_social_links
instance.social_links.all().delete()
instance.social_links.bulk_create(merged_social_links)
except ValueError as err:
# If we have encountered any validation errors, return them to the user.
raise errors.AccountValidationError({
'social_links': {
"developer_message": f"Error when adding new social link: '{str(err)}'",
"user_message": str(err)
}
})
def update(self, instance, validated_data):
"""
Update the profile, including nested fields.
Raises:
errors.AccountValidationError: the update was not attempted because validation errors were found with
the supplied update
"""
language_proficiencies = validated_data.pop("language_proficiencies", None)
# Update all fields on the user profile that are writeable,
# except for "language_proficiencies" and "social_links", which we'll update separately
update_fields = set(self.get_writeable_fields()) - {"language_proficiencies"} - {"social_links"}
for field_name in update_fields:
default = getattr(instance, field_name)
field_value = validated_data.get(field_name, default)
setattr(instance, field_name, field_value)
# Update the related language proficiency
if language_proficiencies is not None:
instance.language_proficiencies.all().delete()
instance.language_proficiencies.bulk_create([
LanguageProficiency(user_profile=instance, code=language["code"])
for language in language_proficiencies
])
# Update the user's social links
requested_social_links = self._kwargs['data'].get('social_links') # lint-amnesty, pylint: disable=no-member
if requested_social_links:
self._update_social_links(instance, requested_social_links)
instance.save()
return instance
class RetirementUserProfileSerializer(serializers.ModelSerializer):
"""
Serialize a small subset of UserProfile data for use in RetirementStatus APIs
"""
class RetirementUserSerializer(serializers.ModelSerializer):
"""
Serialize a small subset of User data for use in RetirementStatus APIs
"""
profile = RetirementUserProfileSerializer(read_only=True)
class RetirementStateSerializer(serializers.ModelSerializer):
"""
Serialize a small subset of RetirementState data for use in RetirementStatus APIs
"""
class UserRetirementStatusSerializer(serializers.ModelSerializer):
"""
Perform serialization for the RetirementStatus model
"""
user = RetirementUserSerializer(read_only=True)
current_state = RetirementStateSerializer(read_only=True)
last_state = RetirementStateSerializer(read_only=True)
class UserSearchEmailSerializer(serializers.ModelSerializer):
"""
Perform serialization for the User model used in accounts/search_emails endpoint.
"""
class UserRetirementPartnerReportSerializer(serializers.Serializer):
"""
Perform serialization for the UserRetirementPartnerReportingStatus model
"""
user_id = serializers.IntegerField()
student_id = serializers.CharField(required=False)
original_username = serializers.CharField()
original_email = serializers.EmailField()
original_name = serializers.CharField()
orgs = serializers.ListField(child=serializers.CharField())
orgs_config = serializers.ListField(required=False)
created = serializers.DateTimeField()
# Required overrides of abstract base class methods, but we don't use them
class PendingNameChangeSerializer(serializers.Serializer): # lint-amnesty, pylint: disable=abstract-method
"""
Serialize the PendingNameChange model
"""
new_name = serializers.CharField()
def get_extended_profile(user_profile):
"""
Returns the extended user profile fields stored in user_profile.meta
"""
# pick the keys from the site configuration
extended_profile_field_names = configuration_helpers.get_value('extended_profile_fields', [])
try:
extended_profile_fields_data = json.loads(user_profile.meta)
except ValueError:
extended_profile_fields_data = {}
extended_profile = []
for field_name in extended_profile_field_names:
extended_profile.append({
"field_name": field_name,
"field_value": extended_profile_fields_data.get(field_name, "")
})
return extended_profile
def get_profile_visibility(user_profile, user, configuration):
"""
Returns the visibility level for the specified user profile.
"""
if user_profile.requires_parental_consent():
return PRIVATE_VISIBILITY
# Calling UserPreference directly because the requesting user may be different from existing_user
# (and does not have to be is_staff).
profile_privacy = UserPreference.get_value(user, ACCOUNT_VISIBILITY_PREF_KEY)
if profile_privacy:
return profile_privacy
else:
return configuration.get('default_visibility')
def _visible_fields(user_profile, user, configuration=None):
"""
Return what fields should be visible based on user's preferences
:param user_profile: User profile object
:param user: User object
:param configuration: A visibility configuration dictionary.
:return: whitelist List of fields to be shown
"""
if not configuration:
configuration = settings.ACCOUNT_VISIBILITY_CONFIGURATION
profile_visibility = get_profile_visibility(user_profile, user, configuration)
if profile_visibility == ALL_USERS_VISIBILITY:
return configuration.get('bulk_shareable_fields')
elif profile_visibility == CUSTOM_VISIBILITY:
return _visible_fields_from_custom_preferences(user, configuration)
else:
return configuration.get('public_fields')
def _visible_fields_from_custom_preferences(user, configuration):
"""
Returns all fields that are marked to be shared with other users in the
given user's preferences. Includes fields that are always public.
"""
preferences = UserPreference.get_all_preferences(user)
fields_shared_with_all_users = [
field_name for field_name in configuration.get('custom_shareable_fields')
if preferences.get(f'{VISIBILITY_PREFIX}{field_name}') == 'all_users'
]
return set(fields_shared_with_all_users + configuration.get('public_fields'))
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] | 2.568663 | 8,782 |
from organize.utils import Path, find_unused_filename, splitglob, increment_filename_version
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] | 3.642857 | 28 |
from typing import Dict
import numpy as np
from actor.correspondence_actor import CorrespondenceActor
from shape.point_2d import Point2D
from shape.polyline_2d import Polyline2D
from shape.shape import Shape
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] | 3.5 | 60 |
#!/usr/bin/env python
# Copyright (c) 2018, Konstantinos Kamnitsas
#
# This program is free software; you can redistribute and/or modify
# it under the terms of the Apache License, Version 2.0. See the
# accompanying LICENSE file or read the terms at:
# http://www.apache.org/licenses/LICENSE-2.0
from __future__ import absolute_import, division, print_function
import logging
LOG = logging.getLogger('main')
import tensorflow as tf
from cclp.routines.schedules.schedules import apply_growth
from cclp.neuralnet.trainers import losses
# A class separate than the model, to keep separately the optimization state.
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198,
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220,
220,
220,
628,
628,
628,
628,
628,
628,
628,
628
] | 3.114286 | 210 |
import pygame
import numpy as np
import colorsys
from typing import List, Union, Tuple
import os
from PyEvolv.grid_creator.Sidebar import Sidebar
from PyEvolv.assets.font import FONT | [
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#import util_preparation as up
import pandas as pd
import random
import os
import csv
from .models import *
PREVENT_DURATION = 60
START_PREVENT_DURATION = 120
END_PREVENT_DURATION = 120
| [
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# -*- coding: utf-8 -*-
###############################################################################
#
# ZipFile
# Creates a zipped version of the specified Box file and returns a link to the new compressed file.
#
# Python versions 2.6, 2.7, 3.x
#
# Copyright 2014, Temboo Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,
# either express or implied. See the License for the specific
# language governing permissions and limitations under the License.
#
#
###############################################################################
from temboo.core.choreography import Choreography
from temboo.core.choreography import InputSet
from temboo.core.choreography import ResultSet
from temboo.core.choreography import ChoreographyExecution
import json
class ZipFileInputSet(InputSet):
"""
An InputSet with methods appropriate for specifying the inputs to the ZipFile
Choreo. The InputSet object is used to specify input parameters when executing this Choreo.
"""
def set_AccessToken(self, value):
"""
Set the value of the AccessToken input for this Choreo. ((required, string) The access token retrieved during the OAuth2 process.)
"""
super(ZipFileInputSet, self)._set_input('AccessToken', value)
def set_AsUser(self, value):
"""
Set the value of the AsUser input for this Choreo. ((optional, string) The ID of the user. Only used for enterprise administrators to make API calls for their managed users.)
"""
super(ZipFileInputSet, self)._set_input('AsUser', value)
def set_FileID(self, value):
"""
Set the value of the FileID input for this Choreo. ((required, string) The id of the file to zip.)
"""
super(ZipFileInputSet, self)._set_input('FileID', value)
def set_SharedLink(self, value):
"""
Set the value of the SharedLink input for this Choreo. ((conditional, json) A JSON object representing the item?s shared link and associated permissions. See documentation for formatting examples.)
"""
super(ZipFileInputSet, self)._set_input('SharedLink', value)
def set_ZipFileLocation(self, value):
"""
Set the value of the ZipFileLocation input for this Choreo. ((conditional, string) The id of the folder to put the new zip file in. When not specified, the zip file will be put in the root folder.)
"""
super(ZipFileInputSet, self)._set_input('ZipFileLocation', value)
def set_ZipFileName(self, value):
"""
Set the value of the ZipFileName input for this Choreo. ((required, string) The name of the zip file that will be created.)
"""
super(ZipFileInputSet, self)._set_input('ZipFileName', value)
class ZipFileResultSet(ResultSet):
"""
A ResultSet with methods tailored to the values returned by the ZipFile Choreo.
The ResultSet object is used to retrieve the results of a Choreo execution.
"""
def get_Response(self):
"""
Retrieve the value for the "Response" output from this Choreo execution. ((string) The response from Box. This contains the newly created zip file metadata.)
"""
return self._output.get('Response', None)
def get_URL(self):
"""
Retrieve the value for the "URL" output from this Choreo execution. ((string) The url for the newly created zip file.)
"""
return self._output.get('URL', None)
| [
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] | 3.122951 | 1,220 |
from telegram.ext import ConversationHandler
class ConversationHandlerExt(ConversationHandler):
"""Расширяет оригинальный :class:`telegram.ext.ConversationHandler` возможностью вручную
установить `state`. Переопределяет конструктор, теперь обязателен только 1 параметр (states).
"""
def set_state(self, update, state):
"""Устанавливает переданный state.
"""
# проверяем, что переданный state возможен
if state not in self.states.keys() and state != self.END:
raise ValueError(
"state=\"{}\" not exist in current ConversationHandlerExt".format(state))
key = self._get_key(update)
self.update_state(state, key)
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] | 1.758105 | 401 |
from __future__ import print_function
from __future__ import absolute_import
from __future__ import division
import compas_ghpython
from compas.artists import PrimitiveArtist
from .artist import GHArtist
class PointArtist(GHArtist, PrimitiveArtist):
"""Artist for drawing points.
Parameters
----------
point : :class:`compas.geometry.Point`
A COMPAS point.
"""
def draw(self):
"""Draw the point.
Returns
-------
:class:`Rhino.Geometry.Point3d`
"""
points = [self._get_args(self.primitive)]
return compas_ghpython.draw_points(points)[0]
@staticmethod
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] | 2.659836 | 244 |
##Requires PIL (Pillow), and pytesseract
from PIL import Image
from pytesseract import image_to_string
img=Image.open('test.png')
print(image_to_string(img)) | [
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from datetime import datetime
import requests
import time
from etl import base
from utils.fence_helper import get_api_key, get_access_token
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# -*- coding: utf-8 -*-
'''
#-------------------------------------------------------------------------------
# NATIONAL UNIVERSITY OF SINGAPORE - NUS
# SINGAPORE INSTITUTE FOR NEUROTECHNOLOGY - SINAPSE
# Singapore
# URL: http://www.sinapseinstitute.org
#-------------------------------------------------------------------------------
# Neuromorphic Engineering Group
# Author: Rohan Ghosh, MSc
# Contact:
#-------------------------------------------------------------------------------
# Description: UR10 controller in python
#-------------------------------------------------------------------------------
'''
#-------------------------------------------------------------------------------
import socket
import numpy as np
from ur10_simulation import ur10_simulator
import time
import struct
import binascii
from copy import copy
import os.path
#-------------------------------------------------------------------------------
#-------------------------------------------------------------------------------
#class for managing UR10 poses and
#MANAGING POSES (POSITIONS OR JOINTS)
#save pose file
#filename should contain the full path for the file
#load pose file
#filename should contain the full path for the file
#move the UR robot to the specified pose
#get pose names
#get the joint position
#adding a new position
#WARNING: Adding a new position with the same name will overwrite any
#previous entry
#WARNING: position should be in m!!
#WARNING: joints should be in radians!!
#adding a new joint
#WARNING: Adding a new joint with the same name will overwrite any
#previous entry
#WARNING: joints should be in radians!!
#removing a position/joint
#this function remaps all the positions that have been saved to a new
#home position. necessary when remapping has changed. as long as it is
#possible to create positions relative to an origin or home position, this
#method can be used to convert all the stored positions to new values
#based on a new origin
#def conv2newHome(self,_home):
# print('ok')
#-------------------------------------------------------------------------------
if __name__ == '__main__':
port = 30003
ip1 = '10.1.1.6'
# ip2 = '10.1.1.6'
import os,sys
sys.path.append('../iLimb')
from iLimb import *
buffer_size = 1024
U1 = UR10Controller(ip1)
# U2 = UR10Controller(ip2)
# U1.read_joints()
# print(U1.joints)
# U1.read_joints()
# Sim = ur10_simulator()
# Sim.set_joints(U1.joints)
# U1.xyzR = Sim.joints2pose()
# print(U1.xyzR)
# new_joints = copy(U1.joints)
mult = 1
Sim = ur10_simulator()
U1.do_circular_pivot_motion(-40, 190,"z",3,20)
# time.sleep(3)
U1.do_circular_pivot_motion(40, 190,"z",3,-20)
# time.sleep(3)
U1.do_circular_pivot_motion(-40, 190,"z",3,20)
# time.sleep(3)
U1.do_circular_pivot_motion(-40, 190,"z",3,-20)
# time.sleep(3)
# for i in range(100):
# t1 = time.time()
# # U1.read_joints()
# U1.read_xyz()
# print(time.time() - t1)
# print(U1.joints)
# # time.sleep(5)
# print(U1.xyzR)
#rpy_change = np.deg2rad([0, -10, 0])
# l = iLimbController('COM16')
# l.connect()
# l.control(['thumb','index','middle'],['open']*3,[290]*3)
angle = -10
dist_pivot = 220
grasp_pivot = 25
# #open the fingers
# for i in range(6):
# #new_xyzR = U1.move_rpy_with_constraints(rpy_change, 175)
# #U1.movej(new_xyzR,2)
# # l.control(['thumb','index','middle'],['position']*3,[140,120,120])
# U1.read_joints()
# Sim.set_joints(U1.joints)
# U1.xyzR = Sim.joints2pose()
# old_xyzR = copy(U1.xyzR)
# print(U1.xyzR)
# new_joints = copy(U1.joints)
# new_joints[4] = new_joints[4] + angle
# new_xyzR = U1.move_joints_with_grasp_constraints(new_joints,dist_pivot,grasp_pivot,"z")
# U1.movej(new_xyzR,3)
# time.sleep(3.2)
#close the fingers
# #Bimanual
# l.control(['thumb','index','middle'],['open']*3,[290]*3)
# time.sleep(1)
# U1.movej(old_xyzR,3)
# print(mult, new_joints)
# old_XYZ = copy(U1.xyzR)
# # U2.read_xyz()
# print(U1.xyzR)
# print(old_XYZ)
# # Sim.tcp_vec = U1.xyzR
# mult = 1
# seconds = 2
# for i in range(100):
# Sim.tcp_vec = Sim.position_along_endaxis(-30)
# U1.movej(Sim.tcp_vec,seconds)
# time.sleep(seconds)
# Sim.tcp_vec = Sim.position_along_endaxis(30)
# U1.movej(Sim.tcp_vec,seconds)
# time.sleep(seconds)
# print(Sim.tcp_vec)
# # print(U2.xyzR)
# mult = 1
# for i in range(100):
# U1.xyzR[0] = U1.xyzR[0] + (20*mult)
# # U2.xyzR[0] = U2.xyzR[0] + (20*mult)
# U1.movej(U1.xyzR,1)
# # pause(0.05)
# # U2.movej(U2.xyzR,0.4)
# time.sleep(1)
# mult = mult*(-1)
# print("Joints from port", U.joints)
# Sim.set_joints(U.joints)
# Sim.tcp_vec = Sim.joints2pose()
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] | 2.190457 | 2,473 |
#!/usr/bin/python
import numpy as np
import IPython
from IPython.core.debugger import set_trace
NORTH = np.array([0, 1])
SOUTH = np.array([0, -1])
WEST = np.array([-1, 0])
EAST = np.array([1, 0])
STAY = np.array([0, 0])
TRANSLATION_TABLE = [
# [left, intended_direction, right]
[WEST, NORTH, EAST],
[EAST, SOUTH, WEST],
[SOUTH, WEST, NORTH],
[NORTH, EAST, SOUTH],
[STAY, STAY, STAY]
]
DIRECTION = np.array([[0.0, 1.0],
[0.0, -1.0],
[-1.0, 0.0],
[1.0, 0.0],
[0.0, 0.0]])
class Agent(object):
"""A base class of an agent whose movement path is generated by using astar alg"""
############################################################################
# helper functions
@staticmethod
class Agent_v1(Agent):
"""Move_To_Target macro-action is terminated by reaching the goal.
The low level controller automatically set the latest
obvserved tagrget's position as the goal. If the target is flicked, the
previous target's location is continuely implemented."""
def step(self, action, goal):
"""Depends on the input macro-action to run low-level controller to achieve
primitive action execution.
"""
if self.cur_action_done:
self.cur_action = action
else:
action = self.cur_action
self.cur_action_done = False
self.cur_action_time_left = -1.0
if action == 1:
self.cur_action_done = True
self.cur_action_time_left = 0.0
else:
if len(goal) > len(self.grid_dim) * 2:
goal = self._get_position_from_one_hot(goal[self.x_len*self.y_len:])
else:
goal = self._get_position_from_normalized(goal)
# target is flicked, then move towards the target position in previous obs
if all(goal==-1):
if all(self.pre_goal==-1):
self.cur_action_done = True
self.cur_action_time_left = 0.0
else:
self.astar_move(self.pre_goal)
else:
self.astar_move(goal)
self.pre_goal = goal
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] | 2.066364 | 1,100 |
#!/usr/bin/env python3
"""
__main__.py - The main module for processing data and creating visual summaries
for this study.
"""
import os
import sys
from pathlib import Path
import etl
import pandas as pd
import ui.cli as cli
from file import YAMLFile
# =========================================================================== #
# METADATA
# =========================================================================== #
__author__ = 'Robert (Bob) L. Jones'
__credits__ = ['Robert (Bob) L. Jones']
__created_date__ = 'Dec 29, 2020'
__modified_date__ = 'Dec 30, 2020'
# =========================================================================== #
# EXPORTS
# =========================================================================== #
# Define the module's API -- the list of exportable objects (classes,
# functions, etc.) -- when performing a "wild import" (`from field import *`).
__all__ = [
'DEBUG',
]
# =========================================================================== #
# CONSTANTS
# =========================================================================== #
# -- Debugging -- #
DEBUG = bool(os.getenv('DEBUG', default=False))
# -- Filesytem -- #
PREFIX = Path(os.getenv('PREFIX', default='.')).resolve()
DATA_DIR = PREFIX / 'data'
SOURCE_DIR = DATA_DIR / '01_raw'
RESULTS_DIR = PREFIX / 'results'
SOURCE_FILE = '%s_tripdata_%4d-%02d.csv'
# -- URLs -- #
SOURCE_URL = 'https://s3.amazonaws.com/nyc-tlc/trip+data'
# =========================================================================== #
# FUNCTIONS
# =========================================================================== #
# -- Data Analytics -- #
# -- Data Processing: Extract -- #
# -- Data Processing: Transform -- #
# -- Data Processing: Load -- #
# -- Utilities -- #
# -- Main Program -- #
def main():
"""
Runs the main set of functions that define the program.
"""
# Confirm debugging state.
DEBUG and print('DEBUG =', DEBUG)
# Confirm Python path.
DEBUG and print('sys.path =', sys.path)
# Print constants.
DEBUG and print('PREFIX =', PREFIX)
# Print CLI option values.
DEBUG and print('args.config =', args.config) # Ex: etc/settings/etl.cfg
# Read a configuration file.
cfg = YAMLFile(args.config).load()
DEBUG and print('cfg =', cfg)
DEBUG and print('type(cfg) =', type(cfg))
# Create a mini configuration dictionary.
sources_cfg = cfg['sources']
extract_data(sources_cfg)
# df = extract_data()
# df = transform_data(df)
# visualize_data(df)
# =========================================================================== #
# MAIN EXECUTION
# =========================================================================== #
# -- CLI option processing -- #
args = cli.read_args()
# -- Main Program -- #
# If this module is in the main module, call the main() function.
if __name__ == '__main__':
main()
# -- Housekeeping -- #
# Exit the program normally (i.e., with a POSIX exit code of 0).
sys.exit(0)
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] | 3.514451 | 865 |
# Fix paths for imports to work in unit tests ----------------
if __name__ == "__main__":
from _fix_paths import fix_paths
fix_paths()
# ------------------------------------------------------------
# Load libraries ---------------------------------------------
from typing import Dict
import numpy as np
from collections import namedtuple
from ssa_sim_v2.simulator.modules.simulator_module import SimulatorModule
# ------------------------------------------------------------
class AuctionAttributesModule(SimulatorModule):
"""
Base class for all click probability modules with segments.
:ivar np.random.RandomState rng: Random number generator.
:ivar dict prior: Dict with constant probabilities for every segment.
"""
Params = namedtuple('Params', ['p'])
"""
:param float p: Probability of selecting a user from a segment.
"""
def __init__(self, prior={(0,): Params(p=5)}, seed=9):
"""
:param dict prior: Dict with constant probabilities for every segment.
:param int seed: Seed for the random number generator.
"""
super().__init__(prior, seed)
self.prior = dict()
# Normalize prior and store in self.priors
total_p_values = 0
for key in prior.keys():
total_p_values += prior[key].p
for key in prior.keys():
self.prior[key] = AuctionAttributesModule.Params(p=prior[key].p / total_p_values)
self.rng = np.random.RandomState(seed)
def get_auction_attributes(self, n):
"""
Method that returns a dict of number of times each segment has been selected.
:param int n: Number of auctions for which to sample attributes.
:return: Dict of number of times each segment was present in n auctions.
:rtype: Dict[tuple, int]
"""
# This is used since np does not want to accept tuple as an item and throws error that 'a must be 1-dimensional'
# dict keys (tuples) are converted to strings, then random choice is made using strings versions of keys, then
# results are passed to a final dict where keys are of their original form
keys_dict = dict()
for key in self.prior.keys():
keys_dict[str(key)] = key
keys = list(self.prior)
keys = [str(key) for key in keys]
probabilities = [self.prior[keys_dict[key]].p for key in keys]
choices = self.rng.choice(a=keys, p=probabilities, size=n)
unique, counts = np.unique(choices, return_counts=True)
choices_dict_str = dict(zip(unique, counts))
for key in keys:
if key in choices_dict_str.keys():
pass
else:
choices_dict_str[key] = 0
choices_dict = dict()
for key in self.prior.keys():
choices_dict[key] = choices_dict_str[str(key)]
return choices_dict
if __name__ == "__main__":
import unittest
suite = unittest.TestSuite()
suite.addTest(unittest.makeSuite(TestAuctionsAttributes))
unittest.TextTestRunner().run(suite)
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] | 2.673557 | 1,161 |
# -*- coding: utf-8 -*- | [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12
] | 1.769231 | 13 |
import importlib
from parlai.core.agents import add_datapath_and_model_args
from parlai.core.build_data import modelzoo_path
from openchat.utils import (
inherit,
create_agent_from_opt_file_and_model_class,
)
from openchat.base import (
ParlaiGenerationAgent,
Seq2SeqLM,
ConvAI2Agent,
WizardOfWikipediaAgent,
)
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] | 2.607692 | 130 |
# Generated by Django 2.2.10 on 2020-04-12 13:56
import django.core.validators
from django.db import migrations, models
import django_countries.fields
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13,
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602,
11,
4981,
198,
11748,
42625,
14208,
62,
9127,
1678,
13,
25747,
628
] | 3.06 | 50 |
from setuptools import find_packages, setup
from pathlib import Path
NAME = 'model_lstm'
DESCRIPTION = 'LSTM model which classifies the sentiment of English sentences.'
URL = 'https://github.com/ofbennett/sentiment-analysis-app'
EMAIL = '[email protected]'
AUTHOR = 'Oscar Bennett'
REQUIRES_PYTHON = '>=3.7.0'
ROOT_DIR = Path(__file__).resolve().parent
PACKAGE_DIR = ROOT_DIR / 'model_lstm'
LONG_DESCRIPTION = (PACKAGE_DIR / 'README.md').read_text(encoding='utf-8')
with open(PACKAGE_DIR / 'VERSION') as f:
VERSION = f.read().strip()
setup(
name=NAME,
version=VERSION,
description=DESCRIPTION,
long_description=LONG_DESCRIPTION,
long_description_content_type='text/markdown',
author=AUTHOR,
author_email=EMAIL,
python_requires=REQUIRES_PYTHON,
url=URL,
packages=find_packages(exclude=('tests',)),
package_data={'model_lstm': ['VERSION',
'README.md',
f'trained_models/lstm_model_v{VERSION}.h5',
f'trained_models/lstm_pipeline_v{VERSION}.pkl']},
install_requires=list_reqs(),
extras_require={},
license='MIT',
classifiers=[
'License :: OSI Approved :: MIT License',
'Programming Language :: Python',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: Implementation :: CPython',
],
) | [
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7904,
46333,
7904,
16932,
7535,
3256,
198,
220,
220,
220,
16589,
198,
8
] | 2.320635 | 630 |
import gym
from gym import spaces
from ple import PLE
import numpy as np | [
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] | 3.789474 | 19 |
#!/usr/bin/env python
if __name__ == '__main__':
from argparse import ArgumentParser
from io import StringIO
import sys
arg_parser = ArgumentParser(description='I/O test')
arg_parser.add_argument('-o', dest='output', help='output file')
options = arg_parser.parse_args()
str_io = StringIO()
for line in ['abc', 'def', 'ghi']:
str_io.write(line + '\n')
if options.output:
output = open(options.output, 'w')
else:
output = sys.stdout
output.write(str_io.getvalue())
if options.output:
output.close()
| [
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198,
220,
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25,
198,
220,
220,
220,
220,
220,
220,
220,
5072,
13,
19836,
3419,
198
] | 2.46383 | 235 |
import json
from flask import Flask
from flasgger import Swagger
from globals import connected_devices, Oven
import os
import recipes
import ovens
import recipe_search_online
import db
from mqtt_shared import mqtt_manager, mqtt_topics
from constants import MONGO_URI, MONGO_URI_TEST
import argparse
from spec import SWAGGER_TEMPLATE, dump_apispecs_to_json
from flask_pymongo import PyMongo
swagger = None
# TODO have blueprints in a spepparate module
# Arguments
parser = argparse.ArgumentParser(description="SmartOven Flask server")
parser.add_argument('-t', '--test',
help='Run the server in testing mode',
action="store_true"
)
if __name__ == "__main__":
args = parser.parse_args()
create_app(testing=args.test)
app.run(debug=False)
| [
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13,
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7,
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28,
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] | 2.730375 | 293 |
tabela = {'2': 'a',
'3':'d',
'5':'j',
'4':'g',
'6':'m',
'7':'p',
'8':'t',
'9': 'w',
'0': ' ',
}
| [
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] | 1.255319 | 141 |
# location
location = input("Job Location:\n")
pay = input("Payment:\n")
# Prints For decisions
no = "No thanks,I can find something Better"
doubt = "Without a doubt I'll take it"
sure = "Sure, I can work with that"
no_way = "No way!"
# Try and Except
try:
location = str(location)
pay = float(pay)
except:
print("Error, Invalid input")
# After Except
if location == "Mbarara":
if pay == 4000000:
print(no)
else:
if pay > 4000000:
print(sure)
elif location == "Kampala":
if pay == 10000000:
print(no_way)
else:
if pay >= 10000000:
print(sure)
elif location == "space":
print(doubt)
else:
if pay >= 6000000:
print(sure)
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3601,
7,
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361,
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220,
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7,
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8,
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25,
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220,
220,
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25,
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220,
220,
220,
220,
220,
220,
220,
3601,
7,
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8,
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] | 2.384106 | 302 |
from slugify import slugify
from .resource import Resource
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6738,
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764,
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] | 4.357143 | 14 |
import tkinter as tk
from Data import Data
from EditClient import EditClient
#Arrumar!
#root = tk.Tk()
#app = SearchDate(master=root)
#app.mainloop()
#data = Data()
#data.db.close()
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import boto3
import json
session = boto3.session.Session( profile_name= 'jmcore' )
dynamodb = session.resource( 'dynamodb', region_name= 'eu-west-1' )
table = dynamodb.Table( 'serverless_workshop' )
with open( "user-sets-data.json" ) as json_file:
users = json.load( json_file )
for user in users:
userID = user[ 'userID' ]
sets = user[ 'sets' ]
response = table.put_item(
Item = {
'userID': userID,
'sets': sets
}
) | [
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220,
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] | 2.358586 | 198 |
from sarsa_skel import *
if __name__ == '__main__':
plot_softmax("MiniGrid-Empty-6x6-v0")
| [
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] | 2.227273 | 44 |
#
# @lc app=leetcode id=146 lang=python3
#
# [146] LRU Cache
#
# @lc code=start
# Your LRUCache object will be instantiated and called as such:
# obj = LRUCache(capacity)
# param_1 = obj.get(key)
# obj.put(key,value)
# @lc code=end
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] | 2.510638 | 94 |
#!/usr/bin/env python
#
# Merge multiple JavaScript source code files into one.
#
# Usage:
# This script requires source files to have dependencies specified in them.
#
# Dependencies are specified with a comment of the form:
#
# // @requires <file path>
#
# e.g.
#
# // @requires Geo/DataSource.js
#
# This script should be executed like so:
#
# mergejs.py <output.js> <directory> [...]
#
# e.g.
#
# mergejs.py openlayers.js Geo/ CrossBrowser/
#
# This example will cause the script to walk the `Geo` and
# `CrossBrowser` directories--and subdirectories thereof--and import
# all `*.js` files encountered. The dependency declarations will be extracted
# and then the source code from imported files will be output to
# a file named `openlayers.js` in an order which fulfils the dependencies
# specified.
#
#
# Note: This is a very rough initial version of this code.
#
# -- Copyright 2005-2008 MetaCarta, Inc. / OpenLayers project --
#
# TODO: Allow files to be excluded. e.g. `Crossbrowser/DebugMode.js`?
# TODO: Report error when dependency can not be found rather than KeyError.
import re, os, sys
SUFFIX_JAVASCRIPT = ".js"
RE_REQUIRE = "@requires:? (.*)\n" # TODO: Ensure in comment?
class SourceFile:
"""
Represents a Javascript source code file.
"""
def __init__(self, filepath, source):
"""
"""
self.filepath = filepath
self.source = source
self.requiredBy = []
def _getRequirements(self):
"""
Extracts the dependencies specified in the source code and returns
a list of them.
"""
# TODO: Cache?
return re.findall(RE_REQUIRE, self.source)
requires = property(fget=_getRequirements, doc="")
class Config:
"""
Represents a parsed configuration file.
A configuration file should be of the following form:
[first]
3rd/prototype.js
core/application.js
core/params.js
# A comment
[last]
core/api.js # Another comment
[exclude]
3rd/logger.js
All headings are required.
The files listed in the `first` section will be forced to load
*before* all other files (in the order listed). The files in `last`
section will be forced to load *after* all the other files (in the
order listed).
The files list in the `exclude` section will not be imported.
Any text appearing after a # symbol indicates a comment.
"""
def read(self, filename):
"""
Parses the content of the named file and stores the values.
:param filename: the path to a configuration file
:return none
"""
lines = [re.sub("#.*?$", "", line).strip() # Assumes end-of-line character is present
for line in open(filename)
if line.strip() and not line.strip().startswith("#")] # Skip blank lines and comments
self.forceFirst = lines[lines.index("[first]") + 1:lines.index("[last]")]
self.forceLast = lines[lines.index("[last]") + 1:lines.index("[include]")]
self.include = lines[lines.index("[include]") + 1:lines.index("[exclude]")]
self.exclude = lines[lines.index("[exclude]") + 1:]
def scanjs(sourceDirectory, config = None):
""" scans scanDirectory recursively and returns a list of paths to javascript files
:param sourceDirectory: the directory root
:return list object of all file paths
"""
allFiles = []
## Find all the Javascript source files
for root, dirs, files in os.walk(sourceDirectory):
for filename in files:
if filename.endswith(SUFFIX_JAVASCRIPT) and not filename.startswith("."):
filepath = os.path.join(root, filename)[len(sourceDirectory)+1:]
filepath = filepath.replace("\\", "/")
if config and config.include:
if filepath in config.include or filepath in config.forceFirst:
allFiles.append(filepath)
elif (not config) or (filepath not in config.exclude):
allFiles.append(filepath)
return allFiles
def merge (sourceDirectory, config = None):
""" Merges source files within a given directory according to a configuration
:param sourceDirectory: a string designating the path of the OpenLayers source
:param config: a mergejs.Config object
"""
from toposort import toposort
allFiles = scanjs(sourceDirectory, config)
## Header inserted at the start of each file in the output
HEADER = "/* " + "=" * 70 + "\n %s\n" + " " + "=" * 70 + " */\n\n"
files = {}
## Import file source code
## TODO: Do import when we walk the directories above?
for filepath in allFiles:
fullpath = os.path.join(sourceDirectory, filepath).strip()
content = open(fullpath, "U").read() # TODO: Ensure end of line @ EOF?
files[filepath] = SourceFile(filepath, content) # TODO: Chop path?
complete = False
resolution_pass = 1
while not complete:
order = [] # List of filepaths to output, in a dependency satisfying order
nodes = []
routes = []
## Resolve the dependencies
resolution_pass += 1
for filepath, info in files.items():
nodes.append(filepath)
for neededFilePath in info.requires:
routes.append((neededFilePath, filepath))
for dependencyLevel in toposort(nodes, routes):
for filepath in dependencyLevel:
order.append(filepath)
if not files.has_key(filepath):
fullpath = os.path.join(sourceDirectory, filepath).strip()
content = open(fullpath, "U").read() # TODO: Ensure end of line @ EOF?
files[filepath] = SourceFile(filepath, content) # TODO: Chop path?
# Double check all dependencies have been met
complete = True
try:
for fp in order:
if max([order.index(rfp) for rfp in files[fp].requires] +
[order.index(fp)]) != order.index(fp):
complete = False
except:
complete = False
## Move forced first and last files to the required position
if config:
order = config.forceFirst + [item
for item in order
if ((item not in config.forceFirst) and
(item not in config.forceLast))] + config.forceLast
## Output the files in the determined order
result = []
for fp in order:
f = files[fp]
result.append(HEADER % f.filepath)
source = f.source
result.append(source)
if not source.endswith("\n"):
result.append("\n")
return "".join(result)
if __name__ == "__main__":
from optparse import OptionParser
usage = "usage: mergejs.py <output.js> <source directory> [--config config filename]"
parser = OptionParser(usage=usage)
parser.add_option('-c', '--config', dest="config_filename", action="store",
help="Config file name")
(options, args) = parser.parse_args()
try:
outputFilename = sys.argv[0]
sourceDirectory = sys.argv[1]
except IndexError:
parser.print_help()
sys.exit()
if options.config_filename:
config = Config()
config.read(options.config_filename)
else:
config = None
output = merge(sourceDirectory, config)
file(outputFilename, "w").write(output)
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7,
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7,
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] | 2.524842 | 2,999 |
"""The test file for transformer DNN"""
import ehrudite.core.dnn.transformer as transformer
import random
import tensorflow as tf
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] | 3.45 | 40 |
from unittest.mock import Mock
from asimov import Asset, constant
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import unittest
from datetime import date
from datamatch.similarities import (
StringSimilarity, DateSimilarity, JaroWinklerSimilarity, AbsoluteNumericalSimilarity, RelativeNumericalSimilarity
)
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] | 3.474576 | 59 |
import pyeccodes.accessors as _
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] | 3 | 11 |
#!/usr/bin/env python
# -*- coding: utf8 -*-
"""
The MetadataWizard(pymdwizard) software was developed by the
U.S. Geological Survey Fort Collins Science Center.
See: https://github.com/usgs/fort-pymdwizard for current project source code
See: https://usgs.github.io/fort-pymdwizard/ for current user documentation
See: https://github.com/usgs/fort-pymdwizard/tree/master/examples
for examples of use in other scripts
License: Creative Commons Attribution 4.0 International (CC BY 4.0)
http://creativecommons.org/licenses/by/4.0/
PURPOSE
------------------------------------------------------------------------------
Module contains utility functions for interacting with XML FGDC records
SCRIPT DEPENDENCIES
------------------------------------------------------------------------------
This script is part of the pymdwizard package and is not intented to be
used independently. All pymdwizard package requirements are needed.
See imports section for external packages used in this script as well as
inter-package dependencies
U.S. GEOLOGICAL SURVEY DISCLAIMER
------------------------------------------------------------------------------
This software has been approved for release by the U.S. Geological Survey
(USGS). Although the software has been subjected to rigorous review,
the USGS reserves the right to update the software as needed pursuant to
further analysis and review. No warranty, expressed or implied, is made by
the USGS or the U.S. Government as to the functionality of the software and
related material nor shall the fact of release constitute any such warranty.
Furthermore, the software is released on condition that neither the USGS nor
the U.S. Government shall be held liable for any damages resulting from
its authorized or unauthorized use.
Any use of trade, product or firm names is for descriptive purposes only and
does not imply endorsement by the U.S. Geological Survey.
Although this information product, for the most part, is in the public domain,
it also contains copyrighted material as noted in the text. Permission to
reproduce copyrighted items for other than personal use must be secured from
the copyright owner.
------------------------------------------------------------------------------
"""
import json
from dateutil import parser
import defusedxml.lxml as lxml
import pandas as pd
from pymdwizard.core import xml_utils
from pymdwizard.core import utils
from collections import OrderedDict
FGDC_XSD_NAME = "FGDC/fgdc-std-001-1998-annotated.xsd"
BDP_XSD_NAME = "FGDC/BDPfgdc-std-001-1998-annotated.xsd"
def validate_xml(xml, xsl_fname="fgdc", as_dataframe=False):
"""
Parameters
----------
xml : lxml document
or
filename
or
string containing xml representation
xsl_fname : str (optional)
can be one of:
'fgdc' - uses the standard fgdc schema
../resources/FGDC/fgdc-std-001-1998-annotated.xsd
'bdp' = use the Biological Data profile schema,
../resources/FGDC/BDPfgdc-std-001-1998-annotated.xsd
full file path to another local schema.
if not specified defaults to 'fgdc'
as_dataframe : bool
used to specify return format (list of tuples or dataframe)
Returns
-------
list of tuples
(xpath, error message, line number)
or
pandas dataframe
"""
if xsl_fname.lower() == "fgdc":
xsl_fname = utils.get_resource_path(FGDC_XSD_NAME)
elif xsl_fname.lower() == "bdp":
xsl_fname = utils.get_resource_path(BDP_XSD_NAME)
else:
xsl_fname = xsl_fname
xmlschema = xml_utils.load_schema(xsl_fname)
xml_doc = xml_utils.xml_document_loader(xml)
xml_str = xml_utils.node_to_string(xml_doc)
tree_node = xml_utils.string_to_node(xml_str.encode("utf-8"))
lxml._etree._ElementTree(tree_node)
errors = []
srcciteas = []
src_xpath = "dataqual/lineage/srcinfo/srccitea"
src_nodes = tree_node.xpath(src_xpath)
for i, src in enumerate(src_nodes):
srcciteas.append(src.text)
if src.text is None:
if len(src_nodes) == 1:
errors.append(
(
"metadata/" + src_xpath,
"source citation abbreviation cannot be empty",
1,
)
)
else:
xpath = "metadata/dataqual/lineage/srcinfo[{}]/srccitea"
errors.append(
(
xpath.format(i + 1),
"source citation abbreviation cannot be empty",
1,
)
)
procstep_xpath = "dataqual/lineage/procstep"
procstep_nodes = tree_node.xpath(procstep_xpath)
for proc_i, proc in enumerate(procstep_nodes):
srcprod_nodes = proc.xpath("srcprod")
for srcprod_i, srcprod in enumerate(srcprod_nodes):
srcciteas.append(srcprod.text)
if srcprod.text is None:
error_xpath = procstep_xpath
if len(procstep_nodes) > 1:
error_xpath += "[{}]".format(proc_i + 1)
error_xpath += "/srcprod"
if len(srcprod_nodes) > 1:
error_xpath += "[{}]".format(proc_i + 1)
errors.append(
(
"metadata/" + error_xpath,
"source produced abbreviation cannot be empty",
1,
)
)
srcused_xpath = "dataqual/lineage/procstep/srcused"
srcused_nodes = tree_node.xpath(srcused_xpath)
for i, src in enumerate(srcused_nodes):
if src.text not in srcciteas:
if len(srcused_nodes) == 1:
errors.append(
(
"metadata/" + srcused_xpath,
"Source Used Citation Abbreviation {} "
"not found in Source inputs "
"used".format(src.text),
1,
)
)
else:
xpath = "metadata/dataqual/lineage/procstep[{}]/srcused"
errors.append(
(
xpath.format(i + 1),
"Source Used Citation Abbreviation {} "
"not found in Source inputs "
"used".format(src.text),
1,
)
)
if xmlschema.validate(tree_node) and not errors:
return []
line_lookup = dict(
[
(e.sourceline, tree_node.getroottree().getpath(e))
for e in tree_node.xpath(".//*")
]
)
sourceline = tree_node.sourceline
line_lookup[sourceline] = tree_node.getroottree().getpath(tree_node)
fgdc_lookup = get_fgdc_lookup()
for error in xmlschema.error_log:
error_msg = clean_error_message(error.message, fgdc_lookup)
try:
errors.append((line_lookup[error.line][1:], error_msg, error.line))
except KeyError:
errors.append(("Unknown", error_msg, error.line))
errors = list(OrderedDict.fromkeys(errors))
if as_dataframe:
cols = ["xpath", "message", "line number"]
return pd.DataFrame.from_records(errors, columns=cols)
else:
return errors
def get_fgdc_lookup():
"""
Loads the local resource, 'bdp_lookup' into a json object
Returns
-------
json fgdc item lookup
"""
annotation_lookup_fname = utils.get_resource_path("FGDC/bdp_lookup")
try:
with open(annotation_lookup_fname, encoding="utf-8") as data_file:
annotation_lookup = json.loads(data_file.read())
except TypeError:
with open(annotation_lookup_fname) as data_file:
annotation_lookup = json.loads(data_file.read())
return annotation_lookup
def clean_error_message(message, fgdc_lookup=None):
"""
Returns a cleaned up, more informative translation
of a raw xml schema error message.
Empty or missing elements are described in plain English
Parameters
----------
message : str
The raw message we will be cleaning up
Returns
-------
str : cleaned up error message
"""
parts = message.split()
if "Missing child element" in message:
clean_message = "The {} is missing the expected element(s) '{}'"
clean_message.format(parts[1][:-1], parts[-2])
elif (
r"' is not accepted by the pattern '\s*\S(.|\n|\r)*'" in message
or "'' is not a valid value of the atomic type" in message
):
shortname = parts[1][:-1].replace("'", "")
try:
longname = fgdc_lookup[shortname]["long_name"]
except (KeyError, TypeError):
longname = None
if longname is None:
name = shortname
else:
name = "{} ({})".format(longname, shortname)
clean_message = "The value for {} cannot be empty"
clean_message = clean_message.format(name)
else:
clean_message = message
return clean_message
def format_date(date_input):
"""
Convert a Python date object into an FGDC string format YYYYMMDD
Parameters
----------
date_input : str or datetime
if str provided must be in format that dateutil's parser can handle
Returns
-------
str : date formated in FGDC YYYYMMDD format
"""
if type(date_input) == str:
date_input = parser.parse(date_input)
return date_input.strftime("%Y%m%d")
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198
] | 2.264125 | 4,354 |
from treadmill.infra.setup import base_provision
from treadmill.infra import configuration, constants, instances
from treadmill.api import ipa
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] | 4.363636 | 33 |
"""Denmark specific Form helpers."""
from django.core.exceptions import ValidationError
from django.forms import fields, widgets
from django.utils.translation import gettext_lazy as _
from .dk_municipalities import DK_MUNICIPALITIES
from .dk_postalcodes import DK_POSTALCODES
class DKPostalCodeField(fields.CharField):
"""An Input widget that uses a list of Danish postal codes as valid input."""
default_validators = [postal_code_validator]
class DKMunicipalitySelect(widgets.Select):
"""A Select widget that uses a list of Danish municipalities (kommuner) as its choices."""
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] | 3.392045 | 176 |
import unittest
from unittest import TestCase
from acceptance.browser import Browser
if __name__ == '__main__':
unittest.main()
| [
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] | 3.090909 | 44 |
# (c) 2021 Ruggero Rossi
# Load a Robosoc2d game state log
# supported version: 1.0.0 | [
2,
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66,
8,
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] | 2.741935 | 31 |
import theano
import unittest
import numpy
from nose.plugins.skip import SkipTest
from theano import tensor as T
from theano.tensor.nnet import conv2d
from theano.sandbox import mkl
from theano.sandbox.mkl.basic_ops import U2IConv, I2U
from theano.sandbox.mkl.mkl_conv import Conv2D
numpy.random.seed(123)
if not mkl.mkl_available:
raise SkipTest('Optional package MKL disabled')
if theano.config.mode == 'FAST_COMPILE':
mode_with_mkl = theano.compile.mode.get_mode('FAST_RUN').including('mkl')
mode_without_mkl = theano.compile.mode.get_mode('FAST_RUN').excluding('mkl')
else:
mode_with_mkl = theano.compile.mode.get_default_mode().including('mkl')
mode_without_mkl = theano.compile.mode.get_default_mode().excluding('mkl')
if __name__ == '__main__':
unittest.main()
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555,
715,
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13,
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] | 2.594156 | 308 |
"""Unit tests for embedding Python code"""
import datetime
from pandas import DataFrame
from tests.utils import NormTestCase
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# This is a generated file! Please edit source .ksy file and use kaitai-struct-compiler to rebuild
from pkg_resources import parse_version
import kaitaistruct
from kaitaistruct import KaitaiStruct, KaitaiStream, BytesIO
import collections
from enum import Enum
if parse_version(kaitaistruct.__version__) < parse_version('0.9'):
raise Exception("Incompatible Kaitai Struct Python API: 0.9 or later is required, but you have %s" % (kaitaistruct.__version__))
class BitcoinTransaction(KaitaiStruct):
"""
.. seealso::
Source - https://bitcoin.org/en/developer-guide#transactions
https://en.bitcoin.it/wiki/Transaction
"""
SEQ_FIELDS = ["version", "num_vins", "vins", "num_vouts", "vouts", "locktime"]
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5269,
1600,
366,
5354,
2435,
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628,
628,
628,
198
] | 2.894531 | 256 |
import cv2
import numpy as np
| [
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628,
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] | 2.571429 | 14 |
from .base import BaseClient
from typing import Optional, Any, Dict, List, Union, Iterator
from .models import (
MarketHoliday,
MarketStatus,
Ticker,
TickerDetails,
TickerNews,
TickerTypes,
Sort,
Order,
AssetClass,
Locale,
Split,
Dividend,
DividendType,
Frequency,
Condition,
DataType,
SIP,
Exchange,
OptionsContract,
)
from urllib3 import HTTPResponse
from datetime import date
| [
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198,
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4818,
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1330,
3128,
628,
628,
628,
628
] | 2.470588 | 187 |
# -*- coding: utf-8 -*-
#
# Copyright (C) 2011-2018 Ben Kurtovic <[email protected]>
# Released under the terms of the MIT License. See LICENSE for details.
from __future__ import print_function, unicode_literals
from gitup import config
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] | 3.075 | 80 |
from cg import *
from random import randint
cg = CG()
n=20
c = [[Var("int") for i in range(n)] for i in range(n)]
a = [[Var("int") for i in range(n)] for i in range(n)]
b = [[Var("int") for i in range(n)] for i in range(n)]
m=100
for vs in a:
for v in vs:
cg.init(v, randint(0,m))
for vs in b:
for v in vs:
cg.init(v, randint(0,m))
for i in range(n):
for j in range(n):
cg.init(c[i][j], 0)
for k in range(n):
tmp = Var("int")
cg.op_mul(tmp, a[i][k], b[k][j])
cg.op_add(c[i][j], c[i][j], tmp)
cg.print_code()
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74,
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73,
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198,
220,
220,
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220,
220,
220,
220,
220,
220,
220,
220,
269,
70,
13,
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62,
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7,
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58,
72,
7131,
73,
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73,
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45218,
8,
198,
198,
66,
70,
13,
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62,
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198
] | 1.856698 | 321 |
import os.path
from typing import Dict
import matplotlib.pyplot as plt
import pandas as pd
from sklearn import metrics
from sklearn.ensemble import RandomForestRegressor
from hyperparameter_tuning.study_functions import load_study
from root import ROOT_DIR
from weighted_mean_prediction.data_setup import get_encoded_split_data
from weighted_mean_prediction.model_storage import load_model, save_model
from weighted_mean_prediction.regression_performance import plot_rf_feature_importances
if __name__ == "__main__":
study_dir = f"{ROOT_DIR}/weighted_mean_prediction/random_forest/studies"
study_name = f"rf_study2.joblib"
study_path = os.path.join(study_dir, study_name)
model_name = "rf2.joblib"
model_path = f"{ROOT_DIR}/weighted_mean_prediction/random_forest/models/{model_name}"
X_train, X_val, X_test, y_train, y_val, y_test = get_encoded_split_data()
X_train = pd.concat([X_train, X_val])
y_train = pd.concat([y_train, y_val])
study = load_study(study_path)
rf: RandomForestRegressor = load_model(model_path)
if rf is None:
rf = train_tuned_model(study.best_params, X_train, y_train["weighted_mean"], model_path)
else:
if not is_same_params(study.best_params, rf.get_params()):
rf = train_tuned_model(study.best_params, X_train, y_train["weighted_mean"], model_path)
train_acc = rf.score(X_train, y_train)
test_acc = rf.score(X_test, y_test)
print(train_acc, test_acc)
for idx, importance in enumerate(rf.feature_importances_):
print(f"{X_train.columns[idx]} : {importance}")
# plot_rf_feature_importances(rf.feature_importances_)
predictions = rf.predict(X_test)
mape = metrics.mean_absolute_percentage_error(predictions, y_test)
mse = metrics.mean_squared_error(predictions, y_test)
print("\nMAPE = ", mape)
print("MSE = ", mse)
plt.scatter(range(len(predictions[:100])), predictions[:100])
plt.scatter(range(len(y_test[:100])), y_test[:100])
plt.show() | [
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] | 2.506849 | 803 |
# -*- coding: utf-8 -*-
import cv2
import os
import copy
import numpy as np
import math
# import Levenshtein
from cv2 import VideoWriter, VideoWriter_fourcc
import json
from tqdm import tqdm
from PIL import Image, ImageDraw, ImageFont
import shutil
def Frames2Video(frames_dir=""):
''' 将frames_dir下面的所有视频帧合成一个视频 '''
img_root = frames_dir #'E:\\KSText\\videos_frames\\video_14_6'
image = cv2.imread(os.path.join(img_root,"1.jpg"))
h,w,_ = image.shape
out_root = frames_dir+".avi"
# Edit each frame's appearing time!
fps = 20
fourcc = VideoWriter_fourcc(*"MJPG") # 支持jpg
videoWriter = cv2.VideoWriter(out_root, fourcc, fps, (w, h))
im_names = os.listdir(img_root)
num_frames = len(im_names)
print(len(im_names))
for im_name in tqdm(range(1, num_frames+1)):
string = os.path.join( img_root, str(im_name) + '.jpg')
# print(string)
frame = cv2.imread(string)
# frame = cv2.resize(frame, (w, h))
videoWriter.write(frame)
videoWriter.release()
shutil.rmtree(img_root)
if __name__ == "__main__":
root = "/home/guoxiaofeng/.jupyter/wuweijia/VideoTextSpotting/MMVText_20S/New_Add/Video_Frame"
json_root = "/home/guoxiaofeng/.jupyter/wuweijia/VideoTextSpotting/MMVText_20S/New_Add/Annotation"
result_path_cls = "./vis"
seqs = ["48901770165" , "49004756658" , "49287498737", "49424491900", "49466537994", "49552222543","49983613955","Cls18_1","Cls26_1","demo"]
for video_name in tqdm(os.listdir(json_root)):
annotation_path_ = os.path.join(json_root, video_name)
video_path_ = os.path.join(root, video_name.split(".json")[0])
annotation = get_annotation(annotation_path_)
if video_name.split(".json")[0] in seqs:
continue
result_path_cls_video = os.path.join(result_path_cls, video_name.split(".json")[0])
if not os.path.exists(result_path_cls_video):
os.makedirs(result_path_cls_video)
else:
continue
for frame_id in annotation.keys():
frame_name = video_name.split(".json")[0] + "_" + frame_id.zfill(6) + ".jpg"
frame_path = os.path.join(video_path_,frame_name)
frame = cv2.imread(frame_path)
# print(frame_path)
annotatation_frame = annotation[frame_id]
for data in annotatation_frame:
x1,y1,x2,y2,x3,y3,x4,y4,ID, content,is_caption = data
# print(data)
id_content = str(content) + " " + str(ID)
# print(id_content)
# print(frame.shape)
if is_caption == "scene":
points = np.array([[x1, y1], [x2, y2], [x3, y3], [x4, y4]], np.int32)
cv2.polylines(frame, [points], True, (0, 0, 255), thickness=3)
frame=cv2AddChineseText(frame,id_content, (int(x1), int(y1) - 20),(0, 255, 0), 45)
else:
points = np.array([[x1, y1], [x2, y2], [x3, y3], [x4, y4]], np.int32)
cv2.polylines(frame, [points], True, (0, 255, 0), thickness=3)
frame=cv2AddChineseText(frame,id_content, (int(x1), int(y1) - 20),(0, 255, 0), 45)
# if not os.path.exists(result_path):
# os.makedirs(result_path)
frame_vis_path = os.path.join(result_path_cls_video, frame_id+".jpg")
cv2.imwrite(frame_vis_path, frame)
# video_vis_path = "./"
Frames2Video(frames_dir=result_path_cls_video)
# break
# break
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] | 1.889857 | 1,952 |
from datetime import datetime, timedelta
from typing import Dict, List, Optional
from pytz import timezone
from vnpy.trader.setting import SETTINGS
from vnpy.trader.constant import Exchange, Interval
from vnpy.trader.object import BarData, TickData, HistoryRequest
from vnpy.trader.utility import extract_vt_symbol
from vnpy.trader.datafeed import BaseDatafeed
from .pyTSL import Client, DoubleToDatetime
EXCHANGE_MAP: Dict[Exchange, str] = {
Exchange.SSE: "SH",
Exchange.SZSE: "SZ"
}
INTERVAL_MAP: Dict[Interval, str] = {
Interval.MINUTE: "cy_1m",
Interval.HOUR: "cy_60m",
Interval.DAILY: "cy_day",
}
SHIFT_MAP: Dict[Interval, timedelta] = {
Interval.MINUTE: timedelta(minutes=1),
Interval.HOUR: timedelta(hours=1),
}
CHINA_TZ = timezone("Asia/Shanghai")
class TinysoftDatafeed(BaseDatafeed):
"""天软数据服务接口"""
def __init__(self):
""""""
self.username: str = SETTINGS["datafeed.username"]
self.password: str = SETTINGS["datafeed.password"]
self.client: Client = None
self.inited: bool = False
def init(self) -> bool:
"""初始化"""
if self.inited:
return True
self.client = Client(
self.username,
self.password,
"tsl.tinysoft.com.cn",
443
)
n: int = self.client.login()
if n != 1:
return False
self.inited = True
return True
def query_bar_history(self, req: HistoryRequest) -> Optional[List[BarData]]:
"""查询K线数据"""
if not self.inited:
self.init()
symbol, exchange = extract_vt_symbol(req.vt_symbol)
tsl_exchange: str = EXCHANGE_MAP.get(exchange, "")
tsl_interval: str = INTERVAL_MAP[req.interval]
bars: List[BarData] = []
start_str: str = req.start.strftime("%Y%m%d")
end_str: str = req.end.strftime("%Y%m%d")
cmd: str = (
f"setsysparam(pn_cycle(),{tsl_interval}());"
"return select * from markettable "
f"datekey {start_str}T to {end_str}T "
f"of '{tsl_exchange}{symbol}' end;"
)
result = self.client.exec(cmd)
if not result.error():
data = result.value()
shift: timedelta = SHIFT_MAP.get(req.interval, None)
for d in data:
dt: datetime = DoubleToDatetime(d["date"])
if shift:
dt -= shift
bar: BarData = BarData(
symbol=symbol,
exchange=exchange,
datetime=CHINA_TZ.localize(dt),
interval=req.interval,
open_price=d["open"],
high_price=d["high"],
low_price=d["low"],
close_price=d["close"],
volume=d["vol"],
turnover=d["amount"],
gateway_name="TSL"
)
# 期货则获取持仓量字段
if not tsl_exchange:
bar.open_interest = d["sectional_cjbs"]
bars.append(bar)
return bars
def query_tick_history(self, req: HistoryRequest) -> Optional[List[TickData]]:
"""查询Tick数据"""
if not self.inited:
self.init()
symbol, exchange = extract_vt_symbol(req.vt_symbol)
tsl_exchange: str = EXCHANGE_MAP.get(exchange, "")
ticks: List[TickData] = []
dt: datetime = req.start
while dt <= req.end:
date_str: str = dt.strftime("%Y%m%d")
cmd: str = f"return select * from tradetable datekey {date_str}T to {date_str}T+16/24 of '{tsl_exchange}{symbol}' end ; "
result = self.client.exec(cmd)
if not result.error():
data = result.value()
for d in data:
dt: datetime = DoubleToDatetime(d["date"])
dt: datetime = CHINA_TZ.localize(dt)
tick: TickData = TickData(
symbol=symbol,
exchange=exchange,
name=d["StockName"],
datetime=dt,
open_price=d["sectional_open"],
high_price=d["sectional_high"],
low_price=d["sectional_low"],
last_price=d["price"],
volume=d["sectional_vol"],
turnover=d["sectional_amount"],
bid_price_1=d["buy1"],
bid_price_2=d["buy2"],
bid_price_3=d["buy3"],
bid_price_4=d["buy4"],
bid_price_5=d["buy5"],
ask_price_1=d["sale1"],
ask_price_2=d["sale2"],
ask_price_3=d["sale3"],
ask_price_4=d["sale4"],
ask_price_5=d["sale5"],
bid_volume_1=d["bc1"],
bid_volume_2=d["bc2"],
bid_volume_3=d["bc3"],
bid_volume_4=d["bc4"],
bid_volume_5=d["bc5"],
ask_volume_1=d["sc1"],
ask_volume_2=d["sc2"],
ask_volume_3=d["sc3"],
ask_volume_4=d["sc4"],
ask_volume_5=d["sc5"],
localtime=dt,
gateway_name="TSL"
)
# 期货则获取持仓量字段
if not tsl_exchange:
tick.open_interest = d["sectional_cjbs"]
ticks.append(tick)
dt += timedelta(days=1)
return ticks
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407,
256,
6649,
62,
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4378,
13,
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220,
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220,
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220,
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220,
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220,
220,
220,
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220,
36066,
13,
33295,
7,
42298,
8,
628,
220,
220,
220,
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220,
220,
220,
220,
220,
220,
220,
288,
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28805,
12514,
7,
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628,
220,
220,
220,
220,
220,
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1441,
36066,
198
] | 1.708995 | 3,402 |
inp = open('input_d8.txt').read()
arr = [[0 for i in range(50)] for j in range(6)]
for i in inp.split('\n')[:-1]:
if i.startswith('rotate row'):
rotaterow(int(i.split('y=')[1].split(' ')[0]), int(i.split('by ')[1]))
elif i.startswith('rotate column'):
print(i)
rotatecol(int(i.split('x=')[1].split(' ')[0]), int(i.split('by ')[1]))
else:
rect(int(i.split(' ')[1].split('x')[0]), int(i.split('x')[1]))
print(arr)
print(countpixels())
for i in arr:
print(' '.join(map(str,i)))
| [
259,
79,
796,
1280,
10786,
15414,
62,
67,
23,
13,
14116,
27691,
961,
3419,
198,
198,
3258,
796,
16410,
15,
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2837,
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1120,
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220,
220,
5724,
729,
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13,
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88,
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58,
16,
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10786,
705,
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10786,
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220,
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220,
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220,
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58,
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15,
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493,
7,
72,
13,
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10786,
1525,
705,
38381,
16,
60,
4008,
198,
220,
220,
220,
2073,
25,
198,
220,
220,
220,
220,
220,
220,
220,
13621,
7,
600,
7,
72,
13,
35312,
10786,
705,
38381,
16,
4083,
35312,
10786,
87,
11537,
58,
15,
46570,
493,
7,
72,
13,
35312,
10786,
87,
11537,
58,
16,
60,
4008,
198,
198,
4798,
7,
3258,
8,
198,
4798,
7,
9127,
79,
14810,
28955,
198,
1640,
1312,
287,
5240,
25,
198,
220,
220,
220,
3601,
10786,
45302,
22179,
7,
8899,
7,
2536,
11,
72,
22305,
198
] | 2.034749 | 259 |
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