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A syncing issue with Outlook left me with hundreds, if not thousands of duplicate contacts. After managing to merge duplicates without Contacts crashing, I was left with 177 contacts, most of which with many repeat homepage entries. Rather than dying of boredom removing these by hand, I put together some AppleScript to do this for me, thinking that this would take a few minutes. It’s been a week now – the script starts well enough but soon slows down continually and also takes more and more memory from the system, until the spinning beachball of doom appears halting the script. One issue is that I seem to only be able to delete a contact’s urls one at a time in sequence, instead of all at once.
So the question is, what have I got wrong making this script near useless? Could it have something to do with iCloud syncing? Or is AppleScript inherently inefficient? (The constant saving is there because of the random times the script would cease functioning.):
tell application "Contacts" activate with timeout of 72000 seconds set myPeople to people set numPeople to (count of myPeople) repeat with i from 1 to numPeople set myGuy to item i of myPeople set myGuyName to get name of myGuy set personUrls to (the urls of myGuy whose value contains "outlook") set urlNum to count of personUrls if urlNum > 0 then repeat with j from urlNum to 1 by -1 log ((time string of (current date)) & " – [" & i & "/" & numPeople & "] " & myGuyName & " (" & j & "/" & urlNum & "): " & (the label of item j of personUrls)) delete item j of personUrls save end repeat else log "No problematic URLs found for " & myGuyName end if if note of myGuy is not missing value then set note of myGuy to "" end repeat save log "Final save" end timeout return end tell
I often have very limited space when creating reports and dashboards for users. I usually use Arial, or Arial Narrow, but UI isn’t my area of expertise, so I want to know, how do you determine an optimal font for fitting the most readable text in the smallest space?
Here is an example: Keep in mind this is just an example, as there are many times that space is limited, such as when you need to squeeze a million columns into a report, etc.
I have a raspberry pi (running raspbian) and a 5 year old hard disk (NTFS). Everything operates normally most of time until there is a massive read/write occurring on the disk. Example:
m@raspberrypi:~/backupdisk $ dd if=/dev/zero of=output bs=8k count=10k; rm -f output 10240+0 records in 10240+0 records out 83886080 bytes (84 MB, 80 MiB) copied, 3.26341 s, 25.7 MB/s m@raspberrypi:~/backupdisk $ dd if=/dev/zero of=output bs=8k count=10k; rm -f output ^C622+0 records in 622+0 records out 5095424 bytes (5.1 MB, 4.9 MiB) copied, 54.4939 s, 93.5 kB/s m@raspberrypi:~/backupdisk $ ^C m@raspberrypi:~/backupdisk $ dd if=/dev/zero of=output bs=8k count=10k; rm -f output 10240+0 records in 10240+0 records out 83886080 bytes (84 MB, 80 MiB) copied, 3.21822 s, 26.1 MB/s
When a slow down is experienced, the disk may not recover for 5-20 mins.
How can I figure out what is happening?
I have a DataFlow pipeline trying to build an index (key-value pairs) and compute some metrics (like a number of values per key). The input data is about 60 GB total, stored on GCS and the pipeline has about 126 workers allocated.
The pipeline seems to make no progress despite having 126 workers and based on the wall time the bottleneck seems to be a simple counting step that follows a group by. While all other steps have on average less than 1 hour spent in them, the counting step took already 50 days of the wall time. There seems to be no helpful information all warnings in the log.
The counting step was implemented following a corresponding step in the WordCount example:
def count_keywords_per_asin(self, key_and_group): key, group = key_and_group count = 0 for e in group: count += 1 self.stats.asin_counter.inc() self.stats.keywords_per_asin_dist.update(count) return (key, count)
The preceding step “Group keywords” is a simple beam.GroupByKey() transformation.
Please advise what might be the reason and how this can be optimized.
The pipeline steps including the counting one can be seen below:
I wanted to experiment with android mobile BTC wallets and stumbled upon Electrum.
I only have one transaction input to this wallet and that was from my Binance account.
I have a balance of 0.002BTC.
When trying to send the maximum value of my balance, I get a value of 0.001BTC (approx 2.89GBP).
The fee says 25 blocks.. 2.5 sat/byte.
I have no idea why it is costing 0.001BTC to send 0.001BTC?
I am searching for extremely high quality backlinks. If possible, preferably in the health sector. These can't solely be based off of DA/PA. They need to have sufficient traffic as well. Thank you!
In a recent answer, KRyan mentions that there are multiple tricks to get infinite caster level in 3.5. I’m not aware of very many, and those I am aware of require iffy rules interpretations:
- Greater Consumptive Field (SpC, p. 51) does not work on its own (even with a permissive reading of the spell, it caps out at twice your unimproved caster level). However, alternating castings of Greater Consumptive Field and Consumptive Field will work if you read “your original caster level” to mean “your caster level before you increase it with this casting” and not “your caster level before any temporary increases.”
- The other high-impact caster level trick I’m aware of is combining Ur-Priest (CD, p. 70) with Sublime Chord (CA, p. 60) to exploit their non-standard caster level calculations. This trick was popularized by the early optimization showcase The Wish and The Word. However, I believe this trick requires conflating “caster level” with “levels in spellcasting classes,” and therefore doesn’t actually work.
What other tricks exist to achieve infinite or extremely high caster levels (say, caster level >100 at character level 20)? Which ones require permissive readings of the rules, and which are more airtight?
I’m trying to unlock my HTC U11 and I’ve tried to run
fastboot both from the packages of my Ubuntu derivative (fastboot version 1:7.0.0+r33-2) and from the platform tools (fastboot version 28.0.1-4986621).
I can see my device both with
adb in normal operation and with
fastboot devices in download mode.
The output of
fastboot getvar all is:
(bootloader) kernel: lk (bootloader) product: htc_ocndugl (bootloader) version: 1.0 (bootloader) max-download-size: 1562400000 (bootloader) serialno: xxx (bootloader) slot-count: 0 (bootloader) current-slot: (bootloader) imei: xxx (bootloader) version-main: 1.27.401.11 (bootloader) boot-mode: download (bootloader) version-baseband: xxx (bootloader) version-bootloader: 1.0.0.0000 (bootloader) mid: 2PZC30000 (bootloader) cid: HTC__034 all: finished. total time: 0.005s
When I try to get a token in order to unlock the phone, the command doesn’t complete within any reasonable amount of time, e.g.,
fastboot oem get_identifier_token did not complete after hours and I unplugged the phone:
... (bootloader) [KillSwitch] : /dev/block/bootdevice/by-name/frp (bootloader) [KillSwitch] Last Byte is 0X01, enable unlock FAILED (status read failed (No such device)) finished. total time: 23223.012s
Has anyone seen this or can give me any pointers as to what I’m doing wrong?
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skin The symptoms of sensitive skin are extremely complex