"match": "*_mk",
          "mapping": {
            "type": "text",
            "analyzer": "empty_analyzer"
          }
        }
      },
      {
        "lang_ml": {
          "match": "*_ml",
          "mapping": {
            "type": "text",
            "analyzer": "empty_analyzer"
          }
        }
      },
      {
        "lang_nl": {
          "match": "*_nl",

          "match": "*_mk",
          "mapping": {
            "type": "text",
            "analyzer": "empty_analyzer"
          }
        }
      },
      {
        "lang_ml": {
          "match": "*_ml",
          "mapping": {
            "type": "text",
            "analyzer": "empty_analyzer"
          }
        }
      },
      {
        "lang_nl": {
          "match": "*_nl",

ll!=this._config.subtitle&&i.append(t("<small />").html(this._config.subtitle)),1==this._config.close){var o=t('<button data-dismiss="toast" />').attr("type","button").addClass("ml-2 mb-1 close").attr("aria-label","Close").append('<span aria-hidden="true">&times;</span>');null==this._config.title&&o.toggleClass("ml-2 ml-auto"),i.append(o)}e.append(i),null!=this._config.body&&e.append(t('<div class="toast-body" />').html(this._config.body)),t(this._getContainerId()).prepend(e);var a=t.Event(n.CRE...

!important;\n}\n\n.mr-0,\n.mx-0 {\n  margin-right: 0 !important;\n}\n\n.mb-0,\n.my-0 {\n  margin-bottom: 0 !important;\n}\n\n.ml-0,\n.mx-0 {\n  margin-left: 0 !important;\n}\n\n.m-1 {\n  margin: 0.25rem !important;\n}\n\n.mt-1,\n.my-1 {\n  margin-top: 0.25rem !important;\n}\n\n.mr-1,\n.mx-1 {\n  margin-right: 0.25rem !important;\n}\n\n.mb-1,\n.my-1 {\n  margin-bottom: 0.25rem !important;\n}\n\n.ml-1,\n.mx-1 {\n  margin-left: 0.25rem !important;\n}\n\n.m-2 {\n  margin: 0.5rem !important;\n}\n\n.mt-2,\n.my-2 {\n...

eu=eu\n\
fa=fa\n\
fi=fi\n\
fr=fr\n\
gl=gl\n\
gu=gu\n\
he=he\n\
hi=hi\n\
hr=hr\n\
hu=hu\n\
hy=hy\n\
id=id\n\
it=it\n\
ja=ja\n\
ko=ko\n\
lt=lt\n\
lv=lv\n\
mk=mk\n\
ml=ml\n\
nl=nl\n\
no=no\n\
pa=pa\n\
pl=pl\n\
pt=pt\n\
pt-br=pt-br\n\
pt_BR=pt-br\n\
ro=ro\n\
ru=ru\n\
si=si\n\
sq=sq\n\
sv=sv\n\
ta=ta\n\
te=te\n\
th=th\n\
tl=tl\n\

-right:0!important}.mb-0,.my-0{margin-bottom:0!important}.ml-0,.mx-0{margin-left:0!important}.m-1{margin:.25rem!important}.mt-1,.my-1{margin-top:.25rem!important}.mr-1,.mx-1{margin-right:.25rem!important}.mb-1,.my-1{margin-bottom:.25rem!important}.ml-1,.mx-1{margin-left:.25rem!important}.m-2{margin:.5rem!important}.mt-2,.my-2{margin-top:.5rem!important}.mr-2,.mx-2{margin-right:.5rem!important}.mb-2,.my-2{margin-bottom:.5rem!important}.ml-2,.mx-2{margin-left:.5rem!important}.m-3{margin:1rem!impor...

        "//third_party/py/cloud_ml_autoflow/...",
        "//third_party/py/envlogger/...",
        "//third_party/py/gldm/...",
        "//third_party/py/guesslang/...",
        "//third_party/py/keras/...",
        "//third_party/py/tf_keras/...",
        "//third_party/yggdrasil_decision_forests/...",
        "//waymo/accelerator/...",
        "//waymo/ml/cn/...",
        "//waymo/ml/models/...",
    ],

        "content_hy",
        "content_id",
        "content_it",
        "content_ja",
        "content_ko",
        "content_lt",
        "content_lv",
        "content_mk",
        "content_ml",
        "content_nl",
        "content_no",
        "content_pa",
        "content_pl",
        "content_pt",
        "content_pt-br",
        "content_ro",
        "content_ru",

mdurl==0.1.2 \
    --hash=sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8 \
    --hash=sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba
    # via markdown-it-py
ml-dtypes==0.3.2 \
    --hash=sha256:2c34f2ba9660b21fe1034b608308a01be82bbef2a92fb8199f24dc6bad0d5226 \
    --hash=sha256:3a17ef2322e60858d93584e9c52a5be7dd6236b056b7fa1ec57f1bb6ba043e33 \

      },
      "reading_analyzer_ml" : {
        "type" : "custom",
        "tokenizer" : "standard"
      },
      "reading_term_analyzer_ml" : {
        "type" : "custom",
        "tokenizer" : "standard"
      },
      "normalize_analyzer_ml" : {
        "type" : "custom",
        "tokenizer" : "keyword",
        "char_filter" : ["mapping_char"],