{
  "info": {
    "subdir": "linux-64"
  },
  "packages": {
    "flash-linear-attention-0.5.2-py311h06a4308_0.tar.bz2": {
      "build": "py311h06a4308_0",
      "build_number": 0,
      "constrains": [
        "causal-conv1d >=1.4.0",
        "datasets >=3.3.0",
        "tilelang >=0.1.9",
        "triton <3.9"
      ],
      "depends": [
        "fla-core 0.5.2",
        "python >=3.11,<3.12.0a0",
        "transformers >=4.45.0"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "845ff566e4ca79d7cd0f39f06e3eb50e",
      "name": "flash-linear-attention",
      "sha256": "c0c3f84b27e0f8faaa981f2df4c5cb17c9d57190f1b7de352a31c472a998be40",
      "size": 497546,
      "subdir": "linux-64",
      "timestamp": 1794216104936,
      "version": "0.5.2"
    },
    "flash-linear-attention-0.5.2-py312h06a4308_0.tar.bz2": {
      "build": "py312h06a4308_0",
      "build_number": 0,
      "constrains": [
        "causal-conv1d >=1.4.0",
        "datasets >=3.3.0",
        "tilelang >=0.1.9",
        "triton <3.9"
      ],
      "depends": [
        "fla-core 0.5.2",
        "python >=3.12,<3.13.0a0",
        "transformers >=4.45.0"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "f27453ce5bccba71f674f390e9f21ddb",
      "name": "flash-linear-attention",
      "sha256": "721f7e21d36e22ef8aaf3d2ffa2dd6f279fb1b6b673f45a5ef7f699b8c7822de",
      "size": 476549,
      "subdir": "linux-64",
      "timestamp": 1794216117257,
      "version": "0.5.2"
    },
    "flash-linear-attention-0.5.2-py313h06a4308_0.tar.bz2": {
      "build": "py313h06a4308_0",
      "build_number": 0,
      "constrains": [
        "causal-conv1d >=1.4.0",
        "datasets >=3.3.0",
        "tilelang >=0.1.9",
        "triton <3.9"
      ],
      "depends": [
        "fla-core 0.5.2",
        "python >=3.13,<3.14.0a0",
        "python_abi 3.13.* *_cp313",
        "transformers >=4.45.0"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "ece472a8c395372b144a09b8a1f7be08",
      "name": "flash-linear-attention",
      "sha256": "f9e2975e6df91983c70ea2189d79292b378f6a0c992707895ac740c29f4293c5",
      "size": 487521,
      "subdir": "linux-64",
      "timestamp": 1794216094617,
      "version": "0.5.2"
    },
    "flash-linear-attention-0.5.2-py314h06a4308_0.tar.bz2": {
      "build": "py314h06a4308_0",
      "build_number": 0,
      "constrains": [
        "causal-conv1d >=1.4.0",
        "datasets >=3.3.0",
        "tilelang >=0.1.9",
        "triton <3.9"
      ],
      "depends": [
        "fla-core 0.5.2",
        "python >=3.14,<3.15.0a0",
        "python_abi 3.14.* *_cp314",
        "transformers >=4.45.0"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "16efd1ee03189001da2e1e2838ee2e67",
      "name": "flash-linear-attention",
      "sha256": "b4e5fae8aced7aec7878810163158a73623949f63f69d7883c8f6f063f97f9d4",
      "size": 510697,
      "subdir": "linux-64",
      "timestamp": 1794216097283,
      "version": "0.5.2"
    }
  },
  "packages.conda": {
    "flash-linear-attention-0.5.2-py311h06a4308_0.conda": {
      "build": "py311h06a4308_0",
      "build_number": 0,
      "constrains": [
        "causal-conv1d >=1.4.0",
        "datasets >=3.3.0",
        "tilelang >=0.1.9",
        "triton <3.9"
      ],
      "depends": [
        "fla-core 0.5.2",
        "python >=3.11,<3.12.0a0",
        "transformers >=4.45.0"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "a7696c1432dc77e060266c644dcd2873",
      "name": "flash-linear-attention",
      "sha256": "93a0b010254a89fa82d7b24cadd12425a71ae9f56b0d98fe5fa513c89a99df6a",
      "size": 379959,
      "subdir": "linux-64",
      "timestamp": 1794216104936,
      "version": "0.5.2"
    },
    "flash-linear-attention-0.5.2-py312h06a4308_0.conda": {
      "build": "py312h06a4308_0",
      "build_number": 0,
      "constrains": [
        "causal-conv1d >=1.4.0",
        "datasets >=3.3.0",
        "tilelang >=0.1.9",
        "triton <3.9"
      ],
      "depends": [
        "fla-core 0.5.2",
        "python >=3.12,<3.13.0a0",
        "transformers >=4.45.0"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "e4ffa86f26626635f079ab07fe6e0922",
      "name": "flash-linear-attention",
      "sha256": "f526f1b49caac26d7e241bcc4e5c83af28af02dcc43d4de7ceb023846fab7f29",
      "size": 372939,
      "subdir": "linux-64",
      "timestamp": 1794216117257,
      "version": "0.5.2"
    },
    "flash-linear-attention-0.5.2-py313h06a4308_0.conda": {
      "build": "py313h06a4308_0",
      "build_number": 0,
      "constrains": [
        "causal-conv1d >=1.4.0",
        "datasets >=3.3.0",
        "tilelang >=0.1.9",
        "triton <3.9"
      ],
      "depends": [
        "fla-core 0.5.2",
        "python >=3.13,<3.14.0a0",
        "python_abi 3.13.* *_cp313",
        "transformers >=4.45.0"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "955a95f2ea56d3060b220d6146f6adc6",
      "name": "flash-linear-attention",
      "sha256": "4862a818794429d4b6420b36beace537ed1c1285a408cfbd9d2084ca624d2b1c",
      "size": 381971,
      "subdir": "linux-64",
      "timestamp": 1794216094617,
      "version": "0.5.2"
    },
    "flash-linear-attention-0.5.2-py314h06a4308_0.conda": {
      "build": "py314h06a4308_0",
      "build_number": 0,
      "constrains": [
        "causal-conv1d >=1.4.0",
        "datasets >=3.3.0",
        "tilelang >=0.1.9",
        "triton <3.9"
      ],
      "depends": [
        "fla-core 0.5.2",
        "python >=3.14,<3.15.0a0",
        "python_abi 3.14.* *_cp314",
        "transformers >=4.45.0"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "e331337779280d6d3b5cf674ffe7ff23",
      "name": "flash-linear-attention",
      "sha256": "7a2bf92fcadf1c9f26a128981c782d3805ab4bced8b1c6c6566289803595158e",
      "size": 390368,
      "subdir": "linux-64",
      "timestamp": 1794216097283,
      "version": "0.5.2"
    }
  },
  "removed": [],
  "repodata_version": 1
}