I am trying to pass an array of arrays from routes to view page. My data that I am trying to pass is :
[
[10, 10],
[20, 50],
[30, 120],
[40, 80],
[50, 90],
[60, 50],
[70, 70],
[80, 90],
[90, 150],
[100, 50],
[110, 40],
[120, 70],
[130, 20],
[140, 40],
[200, 30]
]
I am getting it in below format:
["10,10,20,50,30,120,40,80,50,90,60,50,70,70,80,90,90,150,100,50,110,40,120,70,130,20,140,40,200,30"]
but I need it in the same format I am sending.
My index.js(routes file) is:
router.get('/', function(req, res, next) {
var dataset = [
[10, 10],
[20, 50],
[30, 120],
[40, 80],
[50, 90],
[60, 50],
[70, 70],
[80, 90],
[90, 150],
[100, 50],
[110, 40],
[120, 70],
[130, 20],
[140, 40],
[200, 30]
];
console.log(dataset);
res.render('index',{"data" : [dataset]});
});
module.exports = router;
and in my view file, I am trying to get it like:
<div class="hold_data" data-info={{data}}></div>
Please suggest if anyone knows how this can be achieved. Thanks in advance :)
Try JSON.stringify as below -
res.render('index',{"data" : JSON.stringify(dataset)});
Hope this helps.
Related
Here is the config file of the paraphrase mpnet transformer model and I would like to understand the meaning with examples of the hidden_size and num_hidden_layers parameters.
{
"_name_or_path": "old_models/paraphrase-mpnet-base-v2/0_Transformer",
"architectures": [
"MPNetModel"
],
"attention_probs_dropout_prob": 0.1,
"bos_token_id": 0,
"eos_token_id": 2,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"initializer_range": 0.02,
"intermediate_size": 3072,
"layer_norm_eps": 1e-05,
"max_position_embeddings": 514,
"model_type": "mpnet",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 1,
"relative_attention_num_buckets": 32,
"transformers_version": "4.7.0",
"vocab_size": 30527
}
Model type should be one of BartConfig, PLBartConfig, BigBirdPegasusConfig, M2M100Config, LEDConfig, BlenderbotSmallConfig, MT5Config, T5Config, PegasusConfig, MarianConfig, MBartConfig, BartConfig, BlenderbotConfig, FSMTConfig, XLMProphetNetConfig, ProphetNetConfig, EncoderDecoderConfig.
I am trying to load a fine-tuned Bert model for machine translation using AutoModelForSeq2SeqLM but it can't recognize the configuration class.
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, Seq2SeqTrainingArguments, Seq2SeqTrainer
model = AutoModelForSeq2SeqLM.from_pretrained('/content/drive/MyDrive/Models/CSE498')
Config File
{
"_name_or_path": "ckiplab/albert-tiny-chinese",
"architectures": [
"BertForMaskedLM"
],
"attention_probs_dropout_prob": 0.0,
"bos_token_id": 101,
"classifier_dropout": null,
"classifier_dropout_prob": 0.1,
"down_scale_factor": 1,
"embedding_size": 128,
"eos_token_id": 102,
"gap_size": 0,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.0,
"hidden_size": 312,
"initializer_range": 0.02,
"inner_group_num": 1,
"intermediate_size": 1248,
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"net_structure_type": 0,
"num_attention_heads": 12,
"num_hidden_groups": 1,
"num_hidden_layers": 4,
"num_memory_blocks": 0,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"tokenizer_class": "BertTokenizerFast",
"torch_dtype": "float32",
"transformers_version": "4.18.0",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 30522
}
This is because BERT itself is not a seq2seq model. You can consider using a pre-trained BART instead.
function createData(collegeName, registrarName, phoneNumber, emailAddress, action) {
return {collegeName , registrarName, phoneNumber, emailAddress, action };
}
var rows = [
createData("data", 305, 3.7, 67, 4.3),
createData('Donut', 452, 25.0, 51, 4.9),
createData('Eclair', 262, 16.0, 24, 6.0),
createData('Frozen yoghurt', 159, 6.0, 24, 4.0),
createData('Gingerbread', 356, 16.0, 49, 3.9),
createData('Honeycomb', 408, 3.2, 87, 6.5),
createData('Ice cream sandwich', 237, 9.0, 37, 4.3),
createData('Jelly Bean', 375, 0.0, 94, 0.0),
createData('KitKat', 518, 26.0, 65, 7.0),
createData('Lollipop', 392, 0.2, 98, 0.0),
createData('Marshmallow', 318, 0, 81, 2.0),
createData('Nougat', 360, 19.0, 9, 37.0),
createData('Oreo', 437, 18.0, 63, 4.0),
];
this is static data (you can check using full code for table ) but i want to feed rows by dynamic data :this is the response of database
You shoul use a Map to generate an input for your table rows property:
let list = (data && data.profiles != null) ? data.profiles.map((value, index, array) => {
return {
id: value.id,
key: value.id,
name: value.name,
})
Above code is an example, change variables to your owns.
I have a problem...again. It is related to my previous question in Cron. I've got JSON value and I want to enter it in database. I need help in getting values in this nested dict. Plz help!
JSON
{'folders': [{'id': 94, 'name': 'Retargeting January 2021', 'totalBlacklisted': 606, 'uniqueSubscribers': 19988, 'totalSubscribers': 19382},
{'id': 90, 'name': 'Leads', 'totalBlacklisted': 0, 'uniqueSubscribers': 0, 'totalSubscribers': 0},
{'id': 84, 'name': 'Retargeting Year End', 'totalBlacklisted': 1367, 'uniqueSubscribers': 18847, 'totalSubscribers': 17480},
{'id': 79, 'name': 'CRM Folder', 'totalBlacklisted': 0, 'uniqueSubscribers': 3, 'totalSubscribers': 3},
{'id': 56, 'name': 'Curioo P', 'totalBlacklisted': 282, 'uniqueSubscribers': 3279, 'totalSubscribers': 2997}]}
Python
res = simplejson.loads(response.text)
self.env['get.folders'].create({
'id' : self.id,
'name': res['name'],
'email_blacklist': res['totalBlacklisted'],
'email_subscribers': res['totalSubscribers'],
'unique_subscribers': res['uniqueSubscribers'],
'foldersId': res['id'],
})
EDIT
At last it works. I try to spell out the values and I don't know how but it works this way. Thanks #Jack Dane for your help.
for folder in folders.get("folders"):
names = folder['name']
ids = folder['id']
blacklist = folder['totalBlacklisted']
subscribe = folder['totalSubscribers']
unique = folder['uniqueSubscribers']
self.env['sendinblue.get_folders'].create({
# 'id' : folder['id'],
'name_folder': names,
'email_blacklist': blacklist,
'email_subscribers': subscribe,
'unique_subscribers': unique,
'foldersId': ids,
})
You can loop through the folders using a foreach loop call the create function:
folders = {'folders': [{'id': 94, 'name': 'Retargeting January 2021', 'totalBlacklisted': 606, 'uniqueSubscribers': 19988, 'totalSubscribers': 19382},
{'id': 90, 'name': 'Leads', 'totalBlacklisted': 0, 'uniqueSubscribers': 0, 'totalSubscribers': 0},
{'id': 84, 'name': 'Retargeting Year End', 'totalBlacklisted': 1367, 'uniqueSubscribers': 18847, 'totalSubscribers': 17480},
{'id': 79, 'name': 'CRM Folder', 'totalBlacklisted': 0, 'uniqueSubscribers': 3, 'totalSubscribers': 3},
{'id': 56, 'name': 'Curioo P', 'totalBlacklisted': 282, 'uniqueSubscribers': 3279, 'totalSubscribers': 2997}]}
for folder in folders.get("folders"):
self.env['get.folders'].create({
'id' : self.id,
'name': folder['name'],
'email_blacklist': folder['totalBlacklisted'],
'email_subscribers': folder['totalSubscribers'],
'unique_subscribers': folder['uniqueSubscribers'],
'foldersId': folder['id'],
})
In my case, I have used folders as the variable which will be returned as a JSON.
If you need any clarification let me know,
Thanks,
With the following javascript request:
navigator.credentials.create({
publicKey: {
// random, cryptographically secure, at least 16 bytes
challenge: new Uint8Array(16),
// relying party
rp: {
id: 'localhost',
name: 'My website'
},
user: {
id: new Uint8Array(16),
name: 'Tang',
displayName: 'Tang'
},
pubKeyCredParams: [
{
type: "public-key", alg: -7
}
],
attestation: "direct"
}
})
a FIDO2-compatible Yubikey 5 NFC systematically returns a "fido-u2f" attestation statement:
%{
"attStmt" => %{
"sig" => <<48, 69, 2, 33, 0, 132, 31, 225, 91, 58, 61, 190, 47, 66, 168, 8,
177, 18, 136, 106, 100, 219, 54, 52, 255, 103, 106, 156, 230, 141, 240,
82, 130, 167, 204, 128, 100, 2, 32, 61, 159, 126, 9, 244, 55, 100, 123,
169, ...>>,
"x5c" => [
<<48, 130, 2, 188, 48, 130, 1, 164, 160, 3, 2, 1, 2, 2, 4, 3, 173, 240,
18, 48, 13, 6, 9, 42, 134, 72, 134, 247, 13, 1, 1, 11, 5, 0, 48, 46, 49,
44, 48, 42, 6, 3, 85, 4, 3, 19, ...>>
]
},
"authData" => <<73, 150, 13, 229, 136, 14, 140, 104, 116, 52, 23, 15, 100,
118, 96, 91, 143, 228, 174, 185, 162, 134, 50, 199, 153, 92, 243, 186, 131,
29, 151, 99, 65, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...>>,
"fmt" => "fido-u2f"
}
How to receive a FIDO2 "packed" attestation statement instead?
Per the current spec/standard I don't think you (acting as a Relying Party) can "select" which attestation statement format you receive from the Authenticator (i.e. "the device"). That is a decision made by the Authenticator.
I think MacBook Pro TouchID platform authenticator via Chrome Desktop is sending "packed" attestation statements, if that helps.
There is no way to select the attestation using such simple keys. To test my implementation for both attestations I simply bought two different keys one from Yibico and one from Nitrokey. Yubico sends fido-u2f, while the Nitrokey sends packed attestations.
And if someone likes to know, this is how I implemented that:
let verifyAuthenticatorAttestationResponse = (webAuthnResponse) => {
let attestationBuffer =
base64url.toBuffer(webAuthnResponse.response.attestationObject);
let ctapMakeCredResp = cbor.decodeAllSync(attestationBuffer)[0];
let authrDataStruct = parseMakeCredAuthData(ctapMakeCredResp.authData);
let response = {'verified': false };
if(ctapMakeCredResp.fmt === 'fido-u2f' || ctapMakeCredResp.fmt === 'packed') {
if(!(authrDataStruct.flags & U2F_USER_PRESENTED))
throw new Error('User was NOT presented durring authentication!');
let clientDataHash =
hash(base64url.toBuffer(webAuthnResponse.response.clientDataJSON))
let publicKey = COSEECDHAtoPKCS(authrDataStruct.COSEPublicKey)
let PEMCertificate = ASN1toPEM(ctapMakeCredResp.attStmt.x5c[0]);
let signature = ctapMakeCredResp.attStmt.sig;
let signatureBase;
if(ctapMakeCredResp.fmt === 'fido-u2f') {
signatureBase = Buffer.concat([Buffer.from([0x00]), authrDataStruct.rpIdHash, clientDataHash, authrDataStruct.credID, publicKey]);
} else {
signatureBase = Buffer.concat([ctapMakeCredResp.authData, clientDataHash]);
}
response.verified = verifySignature(signature, signatureBase, PEMCertificate)
if(response.verified) {
response.authrInfo = {
fmt: `${ctapMakeCredResp.fmt}`,
publicKey: base64url.encode(publicKey),
counter: authrDataStruct.counter,
credID: base64url.encode(authrDataStruct.credID)
}
}
}
return response
}
By default the browser might select U2F. Try forcing UV by setting it to "required". This will force browser to use FIDO2 as U2F does not support UV.