transactions – 18: bad-txns-input-consumed – Bitcoin Stack Exchange

I want sendRawtransactoin to be sent to the testnet. I received the error "18: bad-txns-input-consumed".
My input is not output in the testnet, help!

{
"Version 1",
"LockTime": "0",
"Vin": [
        {
            "TxId": "ed34d4d2b9953a4ef585a13454a00501783675752b640b8cc68235afe5495498",
            "Vout": "1",
            "ScriptSig": {
                "Asm": "3045022100aa4cfe7482c52e961b617658d8029b524f8fe2a33ae3a4acd1d4f46684e8703f022077db4cd5b21413761b44e5511ddb45a91f2cbff52537677c2703a6f1f2cea6e4[ALL] 02763d72701702a421c464eb3a8dad8bd653d5fc2bddd1b08f1563d14952fda861 ",
"Hex": "483045022100aa4cfe7482c52e961b617658d8029b524f8fe2a33ae3a4acd1d4f46684e8703f022077db4cd5b21413761b44e5511ddb45a91f2cbff52537677c2703a6f1f2cea6e4012102763d72701702a421c464eb3a8dad8bd653d5fc2bddd1b08f1563d14952fda861"
},
"CoinBase": zero,
"TxInWitness": null,
Sequence: 4294967295
},
{
TxId: 1838578c8d25a5febc846720fb0a41d2d8a7790ab78eb88ea34c8cf95456808a,
"Vout": "12",
"ScriptSig": {
"Asm": "30450221008f7f898041cc6d7f71f110d29bfef37b880e0bc3290cbe958ed8a8321f8d34a0022034ddcbc93f9470a92da47cc667d1afe1f913ef5ded3d23b1c013954543[ALL] 03c2c30029d7b3b386f335cfee7ee1973d2f835837a5bc74c57a6e2300b4e06c60 ",
"Hex": "4830450221008f7f898041cc6d7f71f110d29bfef37b880e0bc3290cbe958ed8a8321f8d34a0022034ddcbc93f9470a92da47cc667d1afe1f913ef5ded3d23b1c018639e1ea1558e012103c2c30029d7b3b386f335cfee7ee1973d2f835837a5bc74c57a6e2300b4e06c60"
},
"CoinBase": zero,
"TxInWitness": null,
Sequence: 4294967295
}
],
"Vout": [
        {
            "Value": 0.00000546,
            "N": 0,
            "ScriptPubKey": {
                "Asm": "OP_DUP OP_HASH160 967d51a069067fe51f61ffc68cb9a785da0232a0 OP_EQUALVERIFY OP_CHECKSIG",
                "Hex": "76a914967d51a069067fe51f61ffc68cb9a785da0232a088ac",
                "ReqSigs": 1,
                "Type": "pubkeyhash",
                "Addresses": [
                    "muEfn8o5UAe7unSgAos5kjfJyuP7bf7j6R"
                ]
            }
},
{
"Value": 0,
"N": 1,
"ScriptPubKey": {
"Asm": "OP_RETURN 6f6d6e6900000000000000000000000000000f4240",
"Hex": "6a146f6d6e69000000000000000000000000000f4240",
"ReqSigs": 0,
"Type": "nulldata",
"Addresses": null
}
},
{
"Value": 0,00013667
"N": 2,
"ScriptPubKey": {
"Asm": "OP_DUP OP_HASH160 4fe9fd815c8bcc5138b876f3f82056638a09893d OP_EQUALVERIFY OP_CHECKSIG",
"Hex": 76a9144fe9fd815c8bcc5138b876f3f82056638a09893d88ac,
"ReqSigs": 1,
"Type": "pubkeyhash",
"Addresses": [
                    "mnoVz8sgcofzGGdq54aqFUUtJBD99zXiYB"
                ]
            }
}
],
TxId: 3a66d9e4bcfc130dd93c691ba3c6c80a170f8d4344f30d46cced6da7c3daeb78
}

asd

Exchange assets when cryptocurrency (as Bitcoin SV or Bitcoin Cash) is lost?

From Krakens blog about their BSV delisting: –

The deposits will be deactivated on April 22. Trading will be discontinued for all trading couples on April 29th. Payouts will continue until 31st May.

The cessation of all trading pairs logically implies the closure of all positions that you have not closed yourself. If you want to know whether to settle for perpetual swaps on the last trading day or on the last rollover day before, you have to ask the stock exchange because they have the choice.

After the last payout date, you should assume that the stock exchange no longer has a wallet for the good listed in the list. For a while, they may still have the private keys, but if they have multiple customers who have forgotten to retire, they can not reasonably hand over those keys to just one customer – so that would be the only fair process either Sell ​​the coins and donate the proceeds to charity or destroy the keys

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Postgresql – TimescaleDB Performance Database Administrators Stack Exchange

I try to optimize some queries at a large table, but can not speed it up. I was wondering if it is possible to run TimescaleDB even faster?

Test results:




Select tracker => number (*) from clicks where click_at is between & # 39; 2019-04-15 00: 00: 00 & # 39; and & # 39; 2019-04-17 23: 59: 59 & # 39 ;;;
number
----------
31385884
(1st row)

Time: 2306.110 ms (00: 02.306)

When I try to group the results, it gets a little worse:




select tracker => time_bucket (& # 39; 1 day & # 39 ;, click_at) as ts, (*) count from clicks, where click_at is between & # 39; 2019-04-15 00: 00: 00 & # 39; and & # 39; 2019-04-17 23: 59: 59 & # 39; group after ts;
ts | number
------------------------ + ----------
2019-04-15 02: 00: 00 + 02 | 28855475
2019-04-14 02: 00: 00 + 02 | 2530409
(2 rows)

Time: 3453,420 ms (00: 03.453)

Both queries execute a parallel index or seq scan, depending on the block size.

It was expected that a piece has at least 100 million records.

Can you do it faster or not?

The clicks table structure is below.

Thank you in advance!

        
        
        
        Column | Type | Sorting | Nullable |
default
----------------------- + -------------------------- + ----------- + ---------- + ------
-------------------------------
id | bigint | | not null | NexTV
al (& # 39; clicks_id_seq1 & # 39;; regclass)
click_at | Timestamp with time zone | | not null | now()
hash_id | Characters vary | | not null |
offer_id | Integer | | not null |
affiliate_id | Integer | | not null |
affiliate_sub | Text | | |
affiliate_sub2 | Text | | |
affiliate_sub3 | Text | | |
affiliate_sub4 | Text | | |
affiliate_sub5 | Text | | |
Source | Text | | |
ip | inet | | |
country_iso | Characters vary | | |
Connection type | smallint | | |
asn | Integer | | |
long | Characters vary | | |
referer | Text | | |
device_types_id | Integer | | |
browsers_id | Integer | | |
offer_payout_types_id | Integer | | |
offer_urls_id | Integer | | |
offer_files_id | Integer | | |
affiliate_click_id | Text | | |
affiliate_unique1 | Text | | |
affiliate_unique2 | Text | | |
affiliate_unique3 | Text | | |
affiliate_unique4 | Text | | |
affiliate_unique5 | Text | | |
user_variables | Text | | |
devices_id | Integer | | |
ip_proxy | inet | | |
tracking_users_id | Integer | | |
Conversion status | smallint | | |
indices:
"clicks_affiliate_id_idx" btree (affiliate_id)
"clicks_click_at_idx" btree (click_at DESC)
"clicks_hash_id_idx" btree (hash_id)
"clicks_id_idx" btree (id)
"clicks_offer_id_idx" btree (offer_id)
"clicks_tracking_users_id_idx" btree (tracking_users_id)
Triggers:
ts_insert_blocker BEFORE INSERTING INCLUDE Click _ti for each series execution method
mescaledb_internal.insert_blocker ()

Derivation of the polygamma function – Mathematics Stack Exchange

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Memory Interface Issue – Computer Science Stack Exchange

I've learned that the problem of memory connectivity is used when a memory with a smaller number of memory locations needs to be connected to a processor with more address lines.
For example, for connecting memory chips with a net memory of 8 KB to a CPU that can handle 64 KB.

Can someone please explain or explain what that is? Why can not I just connect a chip with a smaller memory size to a CPU with more address lines?

Irreducible Polynomials in the R – Mathematics Stack Exchange

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python – Simple Web Crawler – Code Review Stack Exchange

Hello, that's just my WebCrawler feature for small sites. I would like to know what I am doing wrong. I am grateful for all points

Import BS4 as BS
import urllib.request
of urllib.parse import urlparse, urljoin
Import pprint


Class page (object):
def __init __ (self, base_url, url):
self.url = url
self.base_url = base_url
def soup (self):
sauce = urllib.request.urlope (self.url) .read ()
return (bs.BeautifulSoup (sauce, & # 39; lxml & # 39;))
def title (self):
Soup = Auto Soup ()
Back supp.title.string
def left (self):
URLs = []
        Soup = Auto Soup ()
href = [i.get('href') for i in soup.findAll('a') ]
        left = [i for i in (list(map((lambda url : url if bool(urlparse(url).netloc) == True else urljoin (self.base_url, url)),href))) if i.startswith(self.base_url)]
        Return links
def map_page (self):
map = {self.url: {# title #: self.title (), links left #: set (self.links ())}}
Return the card

def site_map (base_url):
map_pages = {}
left_to_map = [base_url]

    def check_and_add (url):
If the URL does not exist in map_pages:
            [links_to_map.append(i) for i in Page(base_url,url).links()]
            (map_pages.update (Page (base_url, url) .map_page ()))
left_to_map.remove (url)
otherwise:
left_to_map.remove (url)

while left_to_map! = []:
url = left_to_map[0]
        check_and_add (url)

pprint.pprint (map_pages)

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