Build failed on seqera.io/containers web app

Hello, I'm not sure if this is the right place to submit errors for creating containers on the web app but I didn't see a support link on the website. I tried building a container on seqera.io/containers for bioconda::deepsig=1.2.5 https://github.com/BolognaBiocomp/deepsig. I got the following build error: ``` #1 [internal] load build definition from Containerfile #1 transferring dockerfile: 511B 0.0s done #1 DONE 0.1s #2 [internal] load metadata for docker.io/mambaorg/micromamba:1.5.10-noble #2 DONE 1.1s #3 [internal] load .dockerignore #3 transferring context: 2B done #3 DONE 0.0s #4 [auth] sharing credentials for private.cr.seqera.io #4 DONE 0.0s #5 importing cache manifest from private.cr.seqera.io/wave/build/cache:4c3835498aaf1d53 #5 ERROR: failed to configure registry cache importer: private.cr.seqera.io/wave/build/cache:4c3835498aaf1d53: not found #6 [1/3] FROM docker.io/mambaorg/micromamba:1.5.10-noble@sha256:a0a4da2d5315f0d5b9d98196f2e9ecf50152c750bed4023bb127baade7e8faca #6 resolve docker.io/mambaorg/micromamba:1.5.10-noble@sha256:a0a4da2d5315f0d5b9d98196f2e9ecf50152c750bed4023bb127baade7e8faca 0.0s done #6 DONE 0.2s #7 [internal] load build context #7 transferring context: 111B done #7 DONE 0.1s #6 [1/3] FROM docker.io/mambaorg/micromamba:1.5.10-noble@sha256:a0a4da2d5315f0d5b9d98196f2e9ecf50152c750bed4023bb127baade7e8faca #6 sha256:030a47592a0a4d4536afb78188ecab3ff9fa7ee5771b2f6a5ee0d8ed139729e9 346B / 346B 0.1s done #6 sha256:bb36d6c3110d8825cd64743566e94bb2a65c4c898a8a0cd05569cbcb5689af07 686B / 686B 0.2s done #6 sha256:0ea1a16bbe82e9a9906f98df703f99bb84f50b7a973057784bce54a4275781b2 0B / 648B 0.2s #6 sha256:17dc7ea432cc5ad24408dee199f29d0cdad597274cb11bd37352261849c241b2 0B / 217B 0.2s #6 sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1 0B / 32B 0.2s #6 sha256:0ea1a16bbe82e9a9906f98df703f99bb84f50b7a973057784bce54a4275781b2 648B / 648B 0.3s done #6 sha256:17dc7ea432cc5ad24408dee199f29d0cdad597274cb11bd37352261849c241b2 217B / 217B 0.3s done #6 sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1 32B / 32B 0.2s done #6 sha256:10b8c00c10a554f94856546f418480a7d9c8136644c0fb97c725046bd6fdb578 4.08kB / 4.08kB 0.1s done #6 sha256:403f74b0f85e9834f9d27943e5e2d26d191e619160f5477ad99adc52a4122764 284B / 284B 0.1s done #6 sha256:92dc97a3ef369828f8d35d2242b165660dada3e3496ceef9ccb9ac3290e82bf9 524B / 524B 0.1s done #6 sha256:dec6b097362e7c8d80e31302367f54d610b0e84d5c9cd5ccd300729608a54b18 126.56kB / 126.56kB 0.1s done #6 sha256:dafa2b0c44d2cfb0be6721f079092ddf15dc8bc537fb07fe7c3264c15cb2e8e6 2.10MB / 29.75MB 0.2s #6 sha256:f88da01cff0bc1129f1ae80576be8f3f715d1d3394d6ba35a93aa77f9a115733 6.20MB / 6.20MB 0.1s done #6 sha256:dafa2b0c44d2cfb0be6721f079092ddf15dc8bc537fb07fe7c3264c15cb2e8e6 20.97MB / 29.75MB 0.5s #6 sha256:dafa2b0c44d2cfb0be6721f079092ddf15dc8bc537fb07fe7c3264c15cb2e8e6 28.31MB / 29.75MB 0.6s #6 sha256:dafa2b0c44d2cfb0be6721f079092ddf15dc8bc537fb07fe7c3264c15cb2e8e6 29.75MB / 29.75MB 0.7s done #6 extracting sha256:dafa2b0c44d2cfb0be6721f079092ddf15dc8bc537fb07fe7c3264c15cb2e8e6 #6 extracting sha256:dafa2b0c44d2cfb0be6721f079092ddf15dc8bc537fb07fe7c3264c15cb2e8e6 0.6s done #6 DONE 1.9s #6 [1/3] FROM docker.io/mambaorg/micromamba:1.5.10-noble@sha256:a0a4da2d5315f0d5b9d98196f2e9ecf50152c750bed4023bb127baade7e8faca #6 extracting sha256:dec6b097362e7c8d80e31302367f54d610b0e84d5c9cd5ccd300729608a54b18 #6 extracting sha256:dec6b097362e7c8d80e31302367f54d610b0e84d5c9cd5ccd300729608a54b18 0.3s done #6 DONE 2.2s #6 [1/3] FROM docker.io/mambaorg/micromamba:1.5.10-noble@sha256:a0a4da2d5315f0d5b9d98196f2e9ecf50152c750bed4023bb127baade7e8faca #6 extracting sha256:f88da01cff0bc1129f1ae80576be8f3f715d1d3394d6ba35a93aa77f9a115733 #6 extracting sha256:f88da01cff0bc1129f1ae80576be8f3f715d1d3394d6ba35a93aa77f9a115733 0.4s done #6 DONE 2.6s #6 [1/3] FROM docker.io/mambaorg/micromamba:1.5.10-noble@sha256:a0a4da2d5315f0d5b9d98196f2e9ecf50152c750bed4023bb127baade7e8faca #6 extracting sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1 #6 extracting sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1 0.3s done #6 DONE 2.9s #6 [1/3] FROM docker.io/mambaorg/micromamba:1.5.10-noble@sha256:a0a4da2d5315f0d5b9d98196f2e9ecf50152c750bed4023bb127baade7e8faca #6 extracting sha256:92dc97a3ef369828f8d35d2242b165660dada3e3496ceef9ccb9ac3290e82bf9 #6 extracting sha256:92dc97a3ef369828f8d35d2242b165660dada3e3496ceef9ccb9ac3290e82bf9 0.3s done #6 DONE 3.2s #6 [1/3] FROM docker.io/mambaorg/micromamba:1.5.10-noble@sha256:a0a4da2d5315f0d5b9d98196f2e9ecf50152c750bed4023bb127baade7e8faca #6 extracting sha256:403f74b0f85e9834f9d27943e5e2d26d191e619160f5477ad99adc52a4122764 #6 extracting sha256:403f74b0f85e9834f9d27943e5e2d26d191e619160f5477ad99adc52a4122764 0.5s done #6 DONE 3.7s #6 [1/3] FROM docker.io/mambaorg/micromamba:1.5.10-noble@sha256:a0a4da2d5315f0d5b9d98196f2e9ecf50152c750bed4023bb127baade7e8faca #6 extracting sha256:10b8c00c10a554f94856546f418480a7d9c8136644c0fb97c725046bd6fdb578 #6 extracting sha256:10b8c00c10a554f94856546f418480a7d9c8136644c0fb97c725046bd6fdb578 0.4s done #6 DONE 4.1s #6 [1/3] FROM docker.io/mambaorg/micromamba:1.5.10-noble@sha256:a0a4da2d5315f0d5b9d98196f2e9ecf50152c750bed4023bb127baade7e8faca #6 extracting sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1 0.3s done #6 DONE 4.4s #6 [1/3] FROM docker.io/mambaorg/micromamba:1.5.10-noble@sha256:a0a4da2d5315f0d5b9d98196f2e9ecf50152c750bed4023bb127baade7e8faca #6 extracting sha256:17dc7ea432cc5ad24408dee199f29d0cdad597274cb11bd37352261849c241b2 #6 extracting sha256:17dc7ea432cc5ad24408dee199f29d0cdad597274cb11bd37352261849c241b2 0.6s done #6 DONE 5.0s #6 [1/3] FROM docker.io/mambaorg/micromamba:1.5.10-noble@sha256:a0a4da2d5315f0d5b9d98196f2e9ecf50152c750bed4023bb127baade7e8faca #6 extracting sha256:bb36d6c3110d8825cd64743566e94bb2a65c4c898a8a0cd05569cbcb5689af07 #6 extracting sha256:bb36d6c3110d8825cd64743566e94bb2a65c4c898a8a0cd05569cbcb5689af07 0.5s done #6 DONE 5.4s #6 [1/3] FROM docker.io/mambaorg/micromamba:1.5.10-noble@sha256:a0a4da2d5315f0d5b9d98196f2e9ecf50152c750bed4023bb127baade7e8faca #6 extracting sha256:0ea1a16bbe82e9a9906f98df703f99bb84f50b7a973057784bce54a4275781b2 #6 extracting sha256:0ea1a16bbe82e9a9906f98df703f99bb84f50b7a973057784bce54a4275781b2 0.6s done #6 DONE 6.1s #6 [1/3] FROM docker.io/mambaorg/micromamba:1.5.10-noble@sha256:a0a4da2d5315f0d5b9d98196f2e9ecf50152c750bed4023bb127baade7e8faca #6 extracting sha256:030a47592a0a4d4536afb78188ecab3ff9fa7ee5771b2f6a5ee0d8ed139729e9 #6 extracting sha256:030a47592a0a4d4536afb78188ecab3ff9fa7ee5771b2f6a5ee0d8ed139729e9 0.5s done #6 DONE 6.6s #8 [2/3] COPY --chown=mambauser:mambauser conda.yml /tmp/conda.yml #8 DONE 0.6s #9 [3/3] RUN micromamba install -y -n base -f /tmp/conda.yml && micromamba install -y -n base conda-forge::procps-ng && micromamba env export --name base --explicit > environment.lock && echo ">> CONDA_LOCK_START" && cat environment.lock && echo "<< CONDA_LOCK_END" && micromamba clean -a -y #9 14.75 error libmamba Could not solve for environment specs #9 14.75 The following package could not be installed #9 14.75 └─ deepsig 1.2.5* is not installable because it requires #9 14.75 └─ tensorflow 2.2.0.* , which does not exist (perhaps a missing channel). #9 14.78 critical libmamba Could not solve for environment specs #9 ERROR: process "/usr/local/bin/_dockerfile_shell.sh micromamba install -y -n base -f /tmp/conda.yml && micromamba install -y -n base conda-forge::procps-ng && micromamba env export --name base --explicit > environment.lock && echo \">> CONDA_LOCK_START\" && cat environment.lock && echo \"<< CONDA_LOCK_END\" && micromamba clean -a -y" did not complete successfully: exit code: 1 ------ > importing cache manifest from private.cr.seqera.io/wave/build/cache:4c3835498aaf1d53: ------ ------ > [3/3] RUN micromamba install -y -n base -f /tmp/conda.yml && micromamba install -y -n base conda-forge::procps-ng && micromamba env export --name base --explicit > environment.lock && echo ">> CONDA_LOCK_START" && cat environment.lock && echo "<< CONDA_LOCK_END" && micromamba clean -a -y: 14.75 error libmamba Could not solve for environment specs 14.75 The following package could not be installed 14.75 └─ deepsig 1.2.5* is not installable because it requires 14.75 └─ tensorflow 2.2.0.* , which does not exist (perhaps a missing channel). 14.78 critical libmamba Could not solve for environment specs ------ Containerfile:3 -------------------- 2 | COPY --chown=$MAMBA_USER:$MAMBA_USER conda.yml /tmp/conda.yml 3 | >>> RUN micromamba install -y -n base -f /tmp/conda.yml \ 4 | >>> && micromamba install -y -n base conda-forge::procps-ng \ 5 | >>> && micromamba env export --name base --explicit > environment.lock \ 6 | >>> && echo ">> CONDA_LOCK_START" \ 7 | >>> && cat environment.lock \ 8 | >>> && echo "<< CONDA_LOCK_END" \ 9 | >>> && micromamba clean -a -y 10 | USER root -------------------- error: failed to solve: process "/usr/local/bin/_dockerfile_shell.sh micromamba install -y -n base -f /tmp/conda.yml && micromamba install -y -n base conda-forge::procps-ng && micromamba env export --name base --explicit > environment.lock && echo \">> CONDA_LOCK_START\" && cat environment.lock && echo \"<< CONDA_LOCK_END\" && micromamba clean -a -y" did not complete successfully: exit code: 1 ``` Not sure how to fix this since I think the pip version of deepsig doesn't show up as an option to build a container from. Thanks for your help in advance.