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Description
Here's a way to start analyzing what packages are causing the build to explode.
import json
from pathlib import Path
import pandas as pd
pkg_files = Path("/opt/conda/conda-meta/").glob("*.json")
paths = []
for pkg_file in pkg_files:
with pkg_file.open() as f:
pkg = json.load(f)
paths += pkg["paths_data"]["paths"]
df = pd.DataFrame(paths)
df = df.drop(
[
"path_type",
"sha256",
"sha256_in_prefix",
"no_link",
"file_mode",
"prefix_placeholder",
],
axis=1,
)
df = df.dropna()
df = df.sort_values("size_in_bytes", ascending=False) $ df.head(20)
_path size_in_bytes
37480 lib/python3.9/site-packages/tensorflow/python/... 271301744.0
25649 lib/libavcodec.a 152533588.0
25258 lib/libLLVM-11.so 105929424.0
74839 x86_64-conda-linux-gnu/sysroot/usr/lib64/local... 99188496.0
85596 lib/librsvg-2.so 97415432.0
85597 lib/librsvg-2.so.2 97415432.0
85598 lib/librsvg-2.so.2.47.0 97415432.0
91707 lib/libLLVM-10.so 95685352.0
50318 lib/libQt5WebEngineCore.so.5 92408776.0
50320 lib/libQt5WebEngineCore.so.5.12.9 92408776.0
50317 lib/libQt5WebEngineCore.so 92408776.0
50319 lib/libQt5WebEngineCore.so.5.12 92408776.0
122433 bin/pandoc 76341040.0
25661 lib/libavformat.a 47442464.0
33070 site-packages/compliance_checker/tests/data/ma... 42981152.0
40321 lib/libgdal.so 35682192.0
40323 lib/libgdal.so.28.0.1 35682192.0
40322 lib/libgdal.so.28 35682192.0
80393 lib/libclang.so.11.1 35233816.0
80392 lib/libclang.so 35233816.0Caching some of the build with #23
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