1. Strict ❯ /home/sln/.local/bin/micromamba config list -a | grep channel_priority channel_priority: strict ❯ /home/sln/.local/bin/micromamba create --yes --prefix /tmp/tmp2urgrafd/prefix --dry-run -c defaults pydantic-settings==2.1.0 sqlalchemy==2.0.28 matplotlib transformers==4.41.2 nltk==3.8.1 spacy==3.7.4 openai-clip==1.0.1 numpy==1.24.0 python==3.9.13 sentence-transformers==3.0.1 pydantic==2.5.3 "boto3>=1.14.0" jsonschema==4.22.0 pytorch pandas==1.5.3 urllib3==1.26.18 pillow==10.1.0 joblib==1.2.0 langchain==0.2.5 langchain-openai==0.1.17 pgvector-python==0. 2.5 pycaret==3.3.1 seaborn==0.11.2 xgboost==2.0.3 "requests>=2.31.0" psycopg2-binary==2.9.9 fastapi alembic==1.13.1 -r /home/sln/micromamba --json critical libmamba Could not solve for environment specs { "solver_problems": [ "package jsonschema-4.22.0-pyhd8ed1ab_0 is excluded by strict repo priority", "package numpy-1.24.0-py39hb10b683_0 is excluded by strict repo priority", "package pillow-10.1.0-py39hcf8a34e_0 is excluded by strict repo priority", "package sqlalchemy-2.0.28-py39hf860d4a_0 is excluded by strict repo priority", "package spacy-3.7.4-py39he5d7314_0 is excluded by strict repo priority", "package alembic-1.13.1-pyhd8ed1ab_1 is excluded by strict repo priority", "package langchain-openai-0.1.17-pyhd8ed1ab_0 requires tiktoken >=0.7,<1, but none of the providers can be installed", "nothing provides openssl >=3.2.0,<3.2.0a0 needed by libpq-15.4-hdb747bd_4", "package python-3.9.13-haa1d7c7_1 requires openssl >=1.1.1q,<1.1.2a, but none of the providers can be installed" ], "success": false } 2. CONDA_CHANNEL_PRIORITY=flexible ❯ CONDA_CHANNEL_PRIORITY=flexible /home/sln/.local/bin/micromamba create --yes --prefix /tmp/tmp2urgrafd/prefix --dry-run -c defaults pydantic-settings==2.1.0 sqlalchemy==2.0.28 matplotlib transformers==4.41.2 nltk==3.8.1 spacy==3.7.4 openai-clip==1.0.1 numpy==1.24.0 python==3.9.13 sentence-transformers==3.0.1 pydantic==2.5.3 "boto3>=1.14.0" jsonschema==4.22.0 pytorch pandas==1.5.3 urllib3==1.26.18 pillow==10.1.0 joblib==1.2.0 langchain==0.2.5 langchain-openai==0.1.17 pgvector-python==0.2.5 pycaret==3.3.1 seaborn==0.11.2 xgboost==2.0.3 "requests>=2.31.0" psycopg2-binary==2.9.9 fastapi alembic==1.13.1 -r /home/sln/micromamba --json critical libmamba Could not solve for environment specs { "solver_problems": [ "package jsonschema-4.22.0-pyhd8ed1ab_0 is excluded by strict repo priority", "package numpy-1.24.0-py39hb10b683_0 is excluded by strict repo priority", "package pillow-10.1.0-py39hcf8a34e_0 is excluded by strict repo priority", "package sqlalchemy-2.0.28-py39hf860d4a_0 is excluded by strict repo priority", "package spacy-3.7.4-py39he5d7314_0 is excluded by strict repo priority", "package alembic-1.13.1-pyhd8ed1ab_1 is excluded by strict repo priority", "package langchain-openai-0.1.17-pyhd8ed1ab_0 requires tiktoken >=0.7,<1, but none of the providers can be installed", "nothing provides openssl >=3.2.0,<3.2.0a0 needed by libpq-15.4-hdb747bd_4", "package python-3.9.13-haa1d7c7_1 requires openssl >=1.1.1q,<1.1.2a, but none of the providers can be installed" ], "success": false } 3. CMD line /home/sln/.local/bin/micromamba create --yes --prefix /tmp/tmp2urgrafd/prefix --dry-run -c defaults pydantic-settings==2.1.0 sqlalchemy==2.0.28 matplotlib transformers==4.41.2 nltk==3.8.1 spacy==3.7.4 openai-clip==1.0.1 numpy==1.24.0 python==3.9.13 sentence-transformers==3.0.1 pydantic==2.5.3 "boto3>=1.14.0" jsonschema==4.22.0 pytorch pandas==1.5.3 urllib3==1.26.18 pillow==10.1.0 joblib==1.2.0 langchain==0.2.5 langchain-openai==0.1.17 pgvector-python==0.2.5 pycaret==3.3.1 seaborn==0.11.2 xgboost==2.0.3 "requests>=2.31.0" psycopg2-binary==2.9.9 fastapi alembic==1.13.1 -r /home/sln/micromamba --json --channel-priority 1 "channel": "https://repo.anaconda.com/pkgs/main/linux-64", "constrains": [ "minijinja >=1.0", "fastcore >=1.3.27", "inquirerpy 0.3.4", "fastai >=2.4", "hf_transfer >=0.1.4", "keras <3.0" ], "depends": [ "requests", "filelock", "python >=3.9,<3.10.0a0", "pyyaml >=5.1", "typing-extensions >=3.7.4.3", "packaging >=20.9", "tqdm >=4.42.1", "fsspec >=2023.5.0" ], "fn": 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"track_features": "", "url": "https://repo.anaconda.com/pkgs/main/linux-64/boto3-1.34.154-py39h06a4308_0.conda", "version": "1.34.154" }, { "build": "py39h06a4308_0", "build_number": 0, "build_string": "py39h06a4308_0", "channel": "https://repo.anaconda.com/pkgs/main/linux-64", "constrains": null, "depends": [ "dash", "python >=3.9,<3.10.0a0" ], "fn": "trace-updater-0.0.9.1-py39h06a4308_0.conda", "license": "MIT", "md5": "5955d42a07842fc9f5e8b42048ddcec8", "name": "trace-updater", "sha256": "ab7e66d1771e28a0c5306c86b875f7b9f3b8cd565a5f87614f51904840bee581", "size": 173806, "subdir": "linux-64", "timestamp": 1682404698, "track_features": "", "url": "https://repo.anaconda.com/pkgs/main/linux-64/trace-updater-0.0.9.1-py39h06a4308_0.conda", "version": "0.0.9.1" }, { "build": "py39h06a4308_0", "build_number": 0, "build_string": "py39h06a4308_0", "channel": "https://repo.anaconda.com/pkgs/main/linux-64", "constrains": null, "depends": [ "requests", "ipython", "ipykernel", "flask", "nest-asyncio", "ansi2html", "dash", "retrying", "python >=3.9,<3.10.0a0" ], "fn": "jupyter-dash-0.4.2-py39h06a4308_0.conda", "license": "MIT", "md5": "60fbe31c7d791135b89b3b83d3912ff6", "name": "jupyter-dash", "sha256": "8fe01f757dbdab5412649d6aef7cdcf7751f3dd468f331ba96170d951baf49ff", "size": 27647, "subdir": "linux-64", "timestamp": 1679330999, "track_features": "", "url": "https://repo.anaconda.com/pkgs/main/linux-64/jupyter-dash-0.4.2-py39h06a4308_0.conda", "version": "0.4.2" }, { "build": "py39h06a4308_0", "build_number": 0, "build_string": "py39h06a4308_0", "channel": "https://repo.anaconda.com/pkgs/main/linux-64", "constrains": [ "pillow >=6.2.1", "apache-beam >=2.26.0", "soundfile >=0.12.1", "jax >=0.3.14", "jaxlib >=0.3.14", "tensorflow-base >=2.6.0" ], "depends": [ "packaging", "pandas", "filelock", "aiohttp", "multiprocess", "python-xxhash", "python >=3.9,<3.10.0a0", "pyyaml >=5.1", "numpy >=1.17,<2.0a0", "requests >=2.19.0", "tqdm >=4.62.1", "dill >=0.3.0,<0.3.9", "fsspec >=2023.1.0,<=2024.3.1", "huggingface_hub >=0.21.2", "pyarrow >=12.0.0" ], "fn": "datasets-2.19.1-py39h06a4308_0.conda", "license": "Apache-2.0", "md5": "8d98d3b59cfd8cc6a25bc99e83cd7d66", "name": "datasets", "sha256": "9220a87ace5f85b7eb349773bcdeffa2023184f5b09e4b53dd13effc2dccda70", "size": 721217, "subdir": "linux-64", "timestamp": 1716911683, "track_features": "", "url": "https://repo.anaconda.com/pkgs/main/linux-64/datasets-2.19.1-py39h06a4308_0.conda", "version": "2.19.1" }, { "build": "py39hff361bb_0", "build_number": 0, "build_string": "py39hff361bb_0", "channel": "https://repo.anaconda.com/pkgs/main/linux-64", "constrains": null, "depends": [ "libgcc-ng >=11.2.0", "python >=3.9,<3.10.0a0", "libstdcxx-ng >=11.2.0", "openssl >=3.0.14,<4.0a0", "huggingface_hub >=0.16.4,<1.0" ], "fn": "tokenizers-0.19.1-py39hff361bb_0.conda", "license": "Apache-2.0", "md5": "cc23c1789238906dc9ce94b773537f4c", "name": "tokenizers", "sha256": "cef5a9553c7f9e9afffaac4a0fc81ed0dd14413b44c4d5642abee19009950d52", "size": 2963154, "subdir": "linux-64", "timestamp": 1721140063, "track_features": "", "url": "https://repo.anaconda.com/pkgs/main/linux-64/tokenizers-0.19.1-py39hff361bb_0.conda", "version": "0.19.1" }, { "build": "py39ha9d4c09_3", "build_number": 3, "build_string": "py39ha9d4c09_3", "channel": "https://repo.anaconda.com/pkgs/main/linux-64", "constrains": null, "depends": [ "libgcc-ng >=11.2.0", "python >=3.9,<3.10.0a0", "numpy >=1.21.5,<2.0a0", "dash >=2.2.0,<3.0.0", "flask-cors >=3.0.10,<4.0.0", "jupyter-dash >=0.4.2", "orjson >=3.8.0,<4.0.0", "plotly >=5.5.0,<6.0.0", "trace-updater >=0.0.8", "pandas >=1" ], "fn": "plotly-resampler-0.8.3.2-py39ha9d4c09_3.conda", "license": "MIT", "md5": "fa13a656c4b59005757a1ee0f417ff23", "name": "plotly-resampler", "sha256": "1ff3ca8836e3dc7b469784f12dce5dce5217588963f64d88b5276f3325da1737", "size": 74723, "subdir": "linux-64", "timestamp": 1702917589, "track_features": "", "url": "https://repo.anaconda.com/pkgs/main/linux-64/plotly-resampler-0.8.3.2-py39ha9d4c09_3.conda", "version": "0.8.3.2" }, { "build": "py39h06a4308_0", "build_number": 0, "build_string": "py39h06a4308_0", "channel": "https://repo.anaconda.com/pkgs/main/linux-64", "constrains": null, "depends": [ "requests", "filelock", "importlib-metadata", "python >=3.9,<3.10.0a0", "packaging >=20.0", "pyyaml >=5.1", "numpy >=1.17,<2.0a0", "regex !=2019.12.17", "tqdm >=4.27", "safetensors >=0.4.1", "datasets !=2.5.0", "huggingface_hub >=0.23.0,<1", "tokenizers >=0.19,<0.20" ], "fn": "transformers-4.41.2-py39h06a4308_0.conda", "license": "Apache-2.0", "md5": "da103fe31c092189c57615ac9ff7597b", "name": "transformers", "sha256": "3dae421a4f09882b8790b7f3b8bf96a698be256c2d135e0442a2e1c6383da11b", "size": 20334500, "subdir": "linux-64", "timestamp": 1721925690, "track_features": "", "url": "https://repo.anaconda.com/pkgs/main/linux-64/transformers-4.41.2-py39h06a4308_0.conda", "version": "4.41.2" }, { "build": 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