{
  "repodata": {
    "build": "py314hd43f75c_0",
    "build_number": 0,
    "constrains": [
      "parsimonious >=0.11.0",
      "black >=22.1.0",
      "singlestoredb >=1.0",
      "geopandas >=0.6",
      "shapely >=2",
      "pandas-gbq >=0.26.1",
      "deltalake >=0.9.0",
      "oracledb >=1.3.1",
      "pyodbc >=4.0.39",
      "polars >=1",
      "mysqlclient >=2.2.4",
      "pyarrow >=10.0.1",
      "pydata-google-auth >=1.4.0",
      "datafusion >=0.6",
      "regex >=2021.7.6",
      "rich >=12.4.4",
      "db-dtypes >=0.3",
      "google-cloud-bigquery-storage >=2",
      "packaging >=21.3",
      "databricks-sql-connector >=4",
      "pyexasol >=0.25.2",
      "snowflake-connector-python >=3.0.2,!=3.3.0b1",
      "geoarrow-types >=0.2",
      "pins >=0.8.3",
      "trino >=0.321",
      "numpy >=1.23.2,<3",
      "google-cloud-bigquery >=3",
      "pyathena >=3.11.0",
      "pyarrow-hotfix >=0.4",
      "psycopg >=3.2.0",
      "pyspark >=3.5,<4.1",
      "impyla >=0.17",
      "graphviz >=0.16",
      "pydruid >=0.6.7",
      "pandas >=1.5.3,<4",
      "clickhouse-connect >=0.5.23",
      "pyproj >=3.3.0",
      "psycopg2 >=2.8.4",
      "duckdb >=0.10.3,!=1.3.0"
    ],
    "depends": [
      "atpublic >=2.3",
      "parsy >=2",
      "python >=3.14,<3.15.0a0",
      "python-dateutil >=2.8.2",
      "python-tzdata >=2022.7",
      "python_abi 3.14.* *_cp314",
      "sqlglot >=23.4,!=26.32.0",
      "toolz >=0.11",
      "typing-extensions >=4.3.0"
    ],
    "license": "Apache-2.0",
    "license_family": "Apache",
    "md5": "2e0711570ba4df6da9959a443de8fa8b",
    "name": "ibis-framework",
    "sha256": "9d52a9a3b4177054c1e4a5c1ff423cf3b59a7072c1b56931e44a91b48f2b4fef",
    "size": 3334193,
    "subdir": "linux-aarch64",
    "timestamp": 1778881192107,
    "version": "12.0.0"
  },
  "s3": "builds/ci/prefect/BLKsx2VjTN6FUQhWFudp9A/1778881430/linux-aarch64/ibis-framework-12.0.0-py314hd43f75c_0.conda",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "be88d02d6e333bbe247882be78fdbf85d4b2a791627da8b3f562efec9a21766049f9ec7b80f34e3ba83e221d68875c5866c46f0196d515e22dd2ad4ce31efe01"
  }
}