Adds zlib v1.3.1 into the base docker image

[vladimir-harrison]

As per this slack thread: https://harrison-ai.slack.com/archives/C03S32UBFL2/p1730757854360519

Benchmark on randomly chosen files from the CTC cache:

1.2.11
np.mean(times)=1.9286178301761645, np.std(times)=0.06485639280564721, np.min(times)=1.8074659667909145, np.max(times)=2.2263533268123865, len(times)=101

1.2.13
np.mean(times)=1.664339867079317, np.std(times)=0.08087228980916963, np.min(times)=1.5270744245499372, np.max(times)=2.0380705669522285, len(times)=101

1.3.1
np.mean(times)=1.6679777112780232, np.std(times)=0.05479970442945612, np.min(times)=1.5598770808428526, np.max(times)=1.8912039399147034, len(times)=101

[vladimir-harrison]

I have built and pushed the image here: annalise-registry.hpc.harrisonai.io/tmp_zlib_fix

Test results with this image:

np.mean(times)=1.6538614263887157, np.std(times)=0.04069674772039104, np.min(times)=1.5238033179193735, np.max(times)=1.7589446865022182, len(times)=101

Test results with the current latest image:

np.mean(times)=1.950177812303352, np.std(times)=0.03374697578064131, np.min(times)=1.8691252954304218, np.max(times)=2.103273082524538, len(times)=101

Test code:

from pathlib import Path
import gzip
import numpy as np
import time
from tqdm.auto import tqdm

times = []
paths = sorted(Path("/home/coder/repos/ctc-ai-dev/cache-tmp").glob("*.transform.gz"))

print(gzip.zlib.ZLIB_RUNTIME_VERSION)
for p in tqdm(paths):
    start = time.monotonic()
    with gzip.open(p, "rb") as f:
        t = f.read()
    times.append(time.monotonic() - start)

print(f"{np.mean(times)=}, {np.std(times)=}, {np.min(times)=}, {np.max(times)=}, {len(times)=}")