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Applications built with NSS can support SSL v2 and v3, TLS, PKCS #5, PKCS #7, PKCS #11, PKCS #12, S/MIME, X.509 v3 certificates, and other security standards.", "dev_url": null, "doc_source_url": null, "doc_url": null, "home": "http://www.mozilla.org/projects/security/pki/nss/", "icon_hash": null, "icon_url": null, "identifiers": null, "keywords": null, "license": "MPL-2.0", "post_link": false, "pre_link": false, "pre_unlink": false, "recipe_origin": null, "run_exports": {}, "source_git_url": null, "source_url": null, "subdirs": [ "noarch" ], "summary": "(CDT) Network Security Services", "tags": null, "text_prefix": false, "timestamp": 1638398439, "version": "3.36.0" }, "nss-softokn-cos6-x86_64": { "activate.d": false, "binary_prefix": false, "deactivate.d": false, "description": "Network Security Services Softoken Cryptographic Module", "dev_url": null, "doc_source_url": null, "doc_url": null, "home": "http://www.mozilla.org/projects/security/pki/nss/", "icon_hash": null, "icon_url": null, "identifiers": null, "keywords": null, "license": "MPL-2.0", "post_link": false, "pre_link": false, "pre_unlink": false, "recipe_origin": null, "run_exports": {}, "source_git_url": null, "source_url": null, "subdirs": [ "noarch" ], "summary": "(CDT) Network Security Services Softoken Module", "tags": null, "text_prefix": false, "timestamp": 1638398417, "version": "3.14.3" }, "nss-softokn-freebl-cos6-x86_64": { "activate.d": false, "binary_prefix": false, "deactivate.d": false, "description": "NSS Softoken Cryptographic Module Freebl Library Install the nss-softokn- freebl package if you need the freebl library.", "dev_url": null, "doc_source_url": null, "doc_url": null, "home": "http://www.mozilla.org/projects/security/pki/nss/", "icon_hash": null, "icon_url": null, "identifiers": null, "keywords": null, "license": "MPL-2.0", "post_link": false, "pre_link": false, "pre_unlink": false, "recipe_origin": null, "run_exports": {}, "source_git_url": null, "source_url": null, "subdirs": [ "noarch" ], "summary": "(CDT) Freebl library for the Network Security Services", "tags": null, "text_prefix": false, "timestamp": 1638398404, "version": "3.14.3" }, "nss-util-cos6-x86_64": { "activate.d": false, "binary_prefix": false, "deactivate.d": false, "description": "Utilities for Network Security Services and the Softoken module", "dev_url": null, "doc_source_url": null, "doc_url": null, "home": "http://www.mozilla.org/projects/security/pki/nss/", "icon_hash": null, "icon_url": null, "identifiers": null, "keywords": null, "license": "MPL-2.0", "post_link": false, "pre_link": false, "pre_unlink": false, "recipe_origin": null, "run_exports": {}, "source_git_url": null, "source_url": null, "subdirs": [ "noarch" ], "summary": "(CDT) Network Security Services Utilities Library", "tags": null, "text_prefix": false, "timestamp": 1638398392, "version": "3.36.0" }, "numactl": { "activate.d": false, "binary_prefix": false, "deactivate.d": false, "description": "Control NUMA policy for processes or shared memory", "dev_url": null, "doc_source_url": null, "doc_url": null, "home": "https://github.com/numactl/numactl", "icon_hash": null, "icon_url": null, "identifiers": null, "keywords": null, "license": "GPL-2.0", "post_link": false, "pre_link": false, "pre_unlink": false, "recipe_origin": null, "run_exports": {}, "source_git_url": "https://github.com/numactl/numactl.git", "source_url": null, "subdirs": [ "linux-64", "linux-ppc64le" ], "summary": "Control NUMA policy for processes or shared memory", "tags": null, "text_prefix": false, "timestamp": 1639600222, "version": "2.0.12" }, "onnx": { "activate.d": false, "binary_prefix": false, "deactivate.d": false, "description": "Open Neural Network Exchange (ONNX) is the first step toward an open ecosystem that empowers AI developers to choose the right tools as their project evolves. ONNX provides an open source format for AI models. It defines an extensible computation graph model, as well as definitions of built-in operators and standard data types. Initially we focus on the capabilities needed for inferencing (evaluation).", "dev_url": null, "doc_source_url": null, "doc_url": null, "home": "https://github.com/onnx/onnx/", "icon_hash": null, "icon_url": null, "identifiers": null, "keywords": null, "license": "MIT", "post_link": false, "pre_link": false, "pre_unlink": false, "recipe_origin": null, "run_exports": {}, "source_git_url": "https://github.com/onnx/onnx.git", "source_url": null, "subdirs": [ "linux-64", "linux-ppc64le" ], "summary": "Open Neural Network Exchange library", "tags": null, "text_prefix": true, "timestamp": 1639955111, "version": "1.7.0" }, "onnxconverter-common": { "activate.d": false, "binary_prefix": false, "deactivate.d": false, "description": null, "dev_url": null, "doc_source_url": null, "doc_url": null, "home": "https://github.com/microsoft/onnxconverter-common", "icon_hash": null, "icon_url": null, "identifiers": null, "keywords": null, "license": "MIT", "post_link": false, "pre_link": false, 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For most of these cases, you want to hold some compatibility, so you cannot simply remove past function, and also for some time you want to warn users that functionality they have been using is moved and not it is deprecated in favor of another function (which shall be used instead) and soon it will be removed completely. Another good aspect is to do not overwhelm a user with too many warnings, so per function/class, this warning is raised only N times in the preferable stream (warning, logger, etc.).", "dev_url": "https://github.com/Borda/pyDeprecate", "doc_source_url": null, "doc_url": null, "home": "https://pypi.org/project/pyDeprecate/", "icon_hash": null, "icon_url": null, "identifiers": null, "keywords": null, "license": "MIT", "post_link": false, "pre_link": false, "pre_unlink": false, "recipe_origin": null, "run_exports": {}, "source_git_url": null, "source_url": "https://pypi.io/packages/source/p/pyDeprecate/pyDeprecate-0.3.1.tar.gz", "subdirs": [ "noarch" ], "summary": "Simple tooling for marking deprecated functions or classes and re-routing to the new successors' instance.", "tags": null, "text_prefix": false, "timestamp": 1639673977, "version": "0.3.1" }, "python-clang": { "activate.d": false, "binary_prefix": false, "deactivate.d": false, "description": null, "dev_url": null, "doc_source_url": null, "doc_url": null, "home": "http://llvm.org/", "icon_hash": null, "icon_url": null, "identifiers": null, "keywords": null, "license": "Apache-2.0 WITH LLVM-exception", "post_link": false, "pre_link": false, "pre_unlink": false, "recipe_origin": null, "run_exports": {}, "source_git_url": null, "source_url": null, "subdirs": [ "noarch" ], "summary": "Development headers and libraries for Clang", "tags": null, "text_prefix": false, "timestamp": 1638507329, "version": "10.0.1" }, "pytorch": { "activate.d": false, "binary_prefix": false, "deactivate.d": false, "description": "Meta-package to install GPU-enabled PyTorch variant", "dev_url": "https://github.com/pytorch/pytorch", "doc_source_url": null, "doc_url": "https://pytorch.org/docs/stable/index.html", "home": "http://pytorch.org/", "icon_hash": null, "icon_url": null, "identifiers": null, "keywords": null, "license": "BSD 3-Clause", "post_link": false, "pre_link": false, "pre_unlink": false, "recipe_origin": null, "run_exports": {}, "source_git_url": null, "source_url": null, "subdirs": [ "linux-64", "linux-ppc64le" ], "summary": "Meta-package to install GPU-enabled PyTorch variant", "tags": null, "text_prefix": false, "timestamp": 1639993380, "version": "1.9.0" }, "pytorch-base": { "activate.d": true, "binary_prefix": false, "deactivate.d": true, "description": "PyTorch is an optimized tensor library for deep learning using GPUs and CPUs", "dev_url": "https://github.com/pytorch/pytorch", "doc_source_url": null, "doc_url": "https://pytorch.org/docs/stable/index.html", "home": "http://pytorch.org/", "icon_hash": null, "icon_url": null, "identifiers": null, "keywords": null, "license": "BSD 3-Clause", "post_link": false, "pre_link": false, "pre_unlink": false, "recipe_origin": null, "run_exports": {}, "source_git_url": "https://github.com/pytorch/pytorch.git", "source_url": null, "subdirs": [ "linux-64", "linux-ppc64le" ], "summary": "PyTorch is an optimized tensor library for deep learning using GPUs and CPUs.", "tags": null, "text_prefix": true, "timestamp": 1639866905, "version": "1.9.0" }, "pytorch-cpu": { "activate.d": false, "binary_prefix": false, "deactivate.d": false, "description": "Meta-package to install CPU-only PyTorch variant", "dev_url": "https://github.com/pytorch/pytorch", "doc_source_url": null, "doc_url": "https://pytorch.org/docs/stable/index.html", "home": "http://pytorch.org/", "icon_hash": null, "icon_url": null, "identifiers": null, "keywords": null, "license": "BSD 3-Clause", "post_link": false, "pre_link": false, "pre_unlink": false, "recipe_origin": null, "run_exports": {}, "source_git_url": null, "source_url": null, "subdirs": [ "linux-64", "linux-ppc64le" ], "summary": "Meta-package to install CPU-only PyTorch variant", "tags": null, "text_prefix": false, "timestamp": 1639959140, "version": "1.9.0" }, "pytorch-lightning": { "activate.d": false, "binary_prefix": false, "deactivate.d": false, "description": "PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate.", "dev_url": null, "doc_source_url": null, "doc_url": null, "home": "https://pypi.org/project/pytorch-lightning/", "icon_hash": null, "icon_url": null, "identifiers": null, "keywords": null, "license": "Apache-2.0", "post_link": false, "pre_link": false, "pre_unlink": false, "recipe_origin": null, "run_exports": {}, "source_git_url": "https://github.com/PyTorchLightning/pytorch-lightning", "source_url": null, "subdirs": [ "noarch" ], "summary": "PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate.", "tags": null, "text_prefix": false, "timestamp": 1639675203, "version": "1.4.9" }, "pytorch-lightning-bolts": { "activate.d": false, "binary_prefix": false, "deactivate.d": false, "description": "Pretrained SOTA Deep Learning models, callbacks and more for research and production with PyTorch Lightning and PyTorch.", "dev_url": null, "doc_source_url": null, "doc_url": null, "home": "https://github.com/PyTorchLightning/pytorch-lightning-bolts/", "icon_hash": null, "icon_url": null, "identifiers": null, "keywords": null, "license": "Apache-2.0", "post_link": false, "pre_link": false, "pre_unlink": false, "recipe_origin": null, "run_exports": {}, "source_git_url": "https://github.com/PyTorchLightning/pytorch-lightning-bolts", "source_url": null, "subdirs": [ "noarch" ], "summary": "Pretrained SOTA Deep Learning models, callbacks and more for research and production with PyTorch Lightning and PyTorch.", "tags": null, "text_prefix": false, "timestamp": 1639675272, "version": "0.3.4" }, "sacremoses": { "activate.d": false, "binary_prefix": false, "deactivate.d": false, "description": "MosesTokenizer in Python", "dev_url": null, "doc_source_url": null, "doc_url": null, "home": "https://github.com/alvations/sacremoses", "icon_hash": null, "icon_url": null, "identifiers": null, "keywords": null, "license": "LGPL-2.1-or-later", "post_link": false, "pre_link": false, "pre_unlink": false, "recipe_origin": null, "run_exports": {}, "source_git_url": null, "source_url": "https://pypi.io/packages/source/s/sacremoses/sacremoses-0.0.45.tar.gz", "subdirs": [ "noarch" ], "summary": "SacreMoses", "tags": null, "text_prefix": false, "timestamp": 1639613262, "version": "0.0.45" }, "safeint": { "activate.d": false, "binary_prefix": false, "deactivate.d": false, "description": null, "dev_url": null, "doc_source_url": null, "doc_url": null, "home": "https://github.com/dcleblanc/SafeInt", "icon_hash": null, "icon_url": null, "identifiers": null, "keywords": null, "license": "MIT", "post_link": false, "pre_link": false, "pre_unlink": false, "recipe_origin": null, "run_exports": {}, "source_git_url": null, "source_url": "https://github.com/dcleblanc/SafeInt/archive/refs/tags/3.0.26.tar.gz", "subdirs": [ "linux-64", "linux-ppc64le" ], "summary": "SafeInt is a class library for C++ that manages integer overflows.", "tags": null, "text_prefix": false, "timestamp": 1639621165, "version": "3.0.26" }, "sentencepiece": { "activate.d": false, "binary_prefix": true, "deactivate.d": false, "description": "SentencePiece is an unsupervised text tokenizer and detokenizer mainly for Neural Network-based text generation systems where the vocabulary size is predetermined prior to the neural model training. SentencePiece implements subword units (e.g., byte-pair-encoding (BPE) [Sennrich et al.]) and unigram language model [Kudo.]) with the extension of direct training from raw sentences. SentencePiece allows us to make a purely end-to-end system that does not depend on language-specific pre/postprocessing.", "dev_url": "https://github.com/google/sentencepiece", "doc_source_url": null, "doc_url": "https://github.com/google/sentencepiece", "home": "https://github.com/google/sentencepiece", "icon_hash": null, "icon_url": null, "identifiers": null, "keywords": null, "license": "Apache License 2.0", "post_link": false, "pre_link": false, "pre_unlink": false, "recipe_origin": null, "run_exports": {}, "source_git_url": "https://github.com/google/sentencepiece", "source_url": null, "subdirs": [ "linux-64", "linux-ppc64le" ], "summary": "An unsupervised text tokenizer and detokenizer mainly for Neural Network-based text generation systems.", "tags": null, "text_prefix": true, "timestamp": 1639958984, "version": "0.1.91" }, "skl2onnx": { "activate.d": false, "binary_prefix": false, "deactivate.d": false, "description": null, "dev_url": null, "doc_source_url": null, "doc_url": 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