I hereby claim:
- I am minimal on github.
- I am chrismcdevitt (https://keybase.io/chrismcdevitt) on keybase.
- I have a public key whose fingerprint is 9FF4 31C9 6AF3 1739 5300 2F71 03E4 4C93 6251 7D7B
To claim this, I am signing this object:
Error during redisplay: (eval (helm-show-candidate-number (car-safe helm-mode-line-string))) signaled (wrong-type-argument integer-or-marker-p nil) | |
read-from-minibuffer: Attempt to shape unibyte textError during redisplay: (eval (helm-show-candidate-number (car-safe helm-mode-line-string))) signaled (wrong-type-argument integer-or-marker-p ni\ | |
l) [52 times] | |
read-from-minibuffer: Attempt to shape unibyte text | |
Error during redisplay: (eval (helm-show-candidate-number (car-safe helm-mode-line-string))) signaled (wrong-type-argument integer-or-marker-p nil) | |
read-from-minibuffer: Attempt to shape unibyte textError during redisplay: (eval (helm-show-candidate-number (car-safe helm-mode-line-string))) signaled (wrong-type-argument integer-or-marker-p ni\ | |
l) [64 times] | |
read-from-minibuffer: Attempt to shape unibyte text |
I hereby claim:
To claim this, I am signing this object:
┌─────────────────┬─────────────────────┐ ┌─────────────────┐ | |
│*****************│*********************│ │*****************│ | |
│*****************│************** |
def strategy(*args, **kwargs): | |
return ss.StrategyTable().strategy(*args, **kwargs) | |
PagesTuple = namedtuple("PagesTuple", ("url", "url_hash", "description", | |
"title", "classified")) | |
def make_pages(tuples): | |
pages = pages_pb2.Pages() | |
for tup in tuples: |
At Skimlinks up until about 20 months ago our service monitoring consisted mostly of Icinga/Nagios checks that only ran about every 5 minutes. The Icinga dashboard was displayed on our monitor wall. While readying the release of a new version of SkimWords we thought we needed some monitoring closer to real-time. Since the API was CPU bound and latency sensitive we needed more insight into the state of the system, especially during new releases and traffic spikes.
As Clojure fans, we had recently come across
(ns transducers-exp.core | |
(:require [criterium.core :as cr]) | |
(:gen-class)) | |
(def xform (comp (map inc) | |
(filter even?) | |
(dedupe) | |
(mapcat range) | |
(partition-all 3) | |
(partition-by #(< (apply + %) 7)) |
nfuncs | thread | transducers | |
---|---|---|---|
17 | 28000 | 548 | |
6 | 3700 | 199 | |
2 | 21 | 50 |
transducers-exp.core> (cr/with-progress-reporting (cr/bench (sequence xform-small data))) | |
Warming up for JIT optimisations 10000000000 ... | |
compilation occured before 934629 iterations | |
Estimating execution count ... | |
Sampling ... | |
Final GC... | |
Checking GC... | |
Finding outliers ... | |
Bootstrapping ... | |
Checking outlier significance |
transducers-exp.core> (cr/bench (sequence xform data)) | |
WARNING: Final GC required 3.920999473301486 % of runtime | |
Evaluation count : 119337840 in 60 samples of 1988964 calls. | |
Execution time mean : 548.637437 ns | |
Execution time std-deviation : 85.741031 ns | |
Execution time lower quantile : 474.085845 ns ( 2.5%) | |
Execution time upper quantile : 732.818167 ns (97.5%) | |
Overhead used : 2.067067 ns | |
Found 5 outliers in 60 samples (8.3333 %) |