Elasticsearch 向量存储¶

Elasticsearch 是一个基于 Apache Lucene 构建的分布式 RESTful 搜索与分析引擎。它提供多种检索方式，包括稠密向量检索、稀疏向量检索、关键词搜索及混合搜索。

立即注册 免费试用 Elastic Cloud，或按照下方说明运行本地服务器。

要求 Elasticsearch 8.9.0 或更高版本及 AIOHTTP。

In [ ]:

%pip install -qU llama-index-vector-stores-elasticsearch llama-index openai

%pip install -qU llama-index-vector-stores-elasticsearch llama-index openai

In [ ]:

import getpass
import os

import openai

os.environ["OPENAI_API_KEY"] = getpass.getpass("OpenAI API Key:")

openai.api_key = os.environ["OPENAI_API_KEY"]

import getpass import os import openai os.environ["OPENAI_API_KEY"] = getpass.getpass("OpenAI API Key:") openai.api_key = os.environ["OPENAI_API_KEY"]

运行并连接 Elasticsearch¶

两种设置 Elasticsearch 实例的方法：

Elastic Cloud¶

Elastic Cloud 是托管的 Elasticsearch 服务。注册免费试用。

本地运行¶

通过本地运行 Elasticsearch 开始使用。最简单的方式是使用官方 Elasticsearch Docker 镜像。更多信息请参阅 Elasticsearch Docker 文档。

docker run -p 9200:9200 \
  -e "discovery.type=single-node" \
  -e "xpack.security.enabled=false" \
  -e "xpack.license.self_generated.type=trial" \
  docker.elastic.co/elasticsearch/elasticsearch:8.13.2

配置 ElasticsearchStore¶

ElasticsearchStore 类用于连接 Elasticsearch 实例，需要以下参数：

    - index_name: Elasticsearch 索引名称。必需。
    - es_client: 可选。已存在的 Elasticsearch 客户端。
    - es_url: 可选。Elasticsearch 服务地址。
    - es_cloud_id: 可选。Elasticsearch 云服务 ID。
    - es_api_key: 可选。Elasticsearch API 密钥。
    - es_user: 可选。Elasticsearch 用户名。
    - es_password: 可选。Elasticsearch 密码。
    - text_field: 可选。存储文本内容的字段名称。
    - vector_field: 可选。存储嵌入向量的字段名称。
    - batch_size: 可选。批量索引的批次大小。默认为 200。
    - distance_strategy: 可选。相似性搜索使用的距离策略。
                    默认为 "COSINE"。

示例：本地连接¶

from llama_index.vector_stores.elasticsearch import ElasticsearchStore

es = ElasticsearchStore(
    index_name="my_index",
    es_url="http://localhost:9200",
)

示例：使用用户名密码连接 Elastic Cloud¶

from llama_index.vector_stores.elasticsearch import ElasticsearchStore

es = ElasticsearchStore(
    index_name="my_index",
    es_cloud_id="<cloud-id>", # 在部署页面获取
    es_user="elastic"
    es_password="<password>" # 创建部署时提供。也可重置密码
)

示例：使用 API 密钥连接 Elastic Cloud¶

from llama_index.stores.elasticsearch import ElasticsearchStore

es = ElasticsearchStore(
    index_name="my_index",
    es_cloud_id="<cloud-id>", # 在部署页面获取
    es_api_key="<api-key>" # 在 Kibana 中创建 API 密钥（Security -> API Keys）
)

示例数据¶

In [ ]:

from llama_index.core.schema import TextNode

movies = [
    TextNode(
        text="The lives of two mob hitmen, a boxer, a gangster and his wife, and a pair of diner bandits intertwine in four tales of violence and redemption.",
        metadata={"title": "Pulp Fiction"},
    ),
    TextNode(
        text="When the menace known as the Joker wreaks havoc and chaos on the people of Gotham, Batman must accept one of the greatest psychological and physical tests of his ability to fight injustice.",
        metadata={"title": "The Dark Knight"},
    ),
    TextNode(
        text="An insomniac office worker and a devil-may-care soapmaker form an underground fight club that evolves into something much, much more.",
        metadata={"title": "Fight Club"},
    ),
    TextNode(
        text="A thief who steals corporate secrets through the use of dream-sharing technology is given the inverse task of planting an idea into thed of a C.E.O.",
        metadata={"title": "Inception"},
    ),
    TextNode(
        text="A computer hacker learns from mysterious rebels about the true nature of his reality and his role in the war against its controllers.",
        metadata={"title": "The Matrix"},
    ),
    TextNode(
        text="Two detectives, a rookie and a veteran, hunt a serial killer who uses the seven deadly sins as his motives.",
        metadata={"title": "Se7en"},
    ),
    TextNode(
        text="An organized crime dynasty's aging patriarch transfers control of his clandestine empire to his reluctant son.",
        metadata={"title": "The Godfather", "theme": "Mafia"},
    ),
]

from llama_index.core.schema import TextNode movies = [ TextNode( text="The lives of two mob hitmen, a boxer, a gangster and his wife, and a pair of diner bandits intertwine in four tales of violence and redemption.", metadata={"title": "Pulp Fiction"}, ), TextNode( text="When the menace known as the Joker wreaks havoc and chaos on the people of Gotham, Batman must accept one of the greatest psychological and physical tests of his ability to fight injustice.", metadata={"title": "The Dark Knight"}, ), TextNode( text="An insomniac office worker and a devil-may-care soapmaker form an underground fight club that evolves into something much, much more.", metadata={"title": "Fight Club"}, ), TextNode( text="A thief who steals corporate secrets through the use of dream-sharing technology is given the inverse task of planting an idea into thed of a C.E.O.", metadata={"title": "Inception"}, ), TextNode( text="A computer hacker learns from mysterious rebels about the true nature of his reality and his role in the war against its controllers.", metadata={"title": "The Matrix"}, ), TextNode( text="Two detectives, a rookie and a veteran, hunt a serial killer who uses the seven deadly sins as his motives.", metadata={"title": "Se7en"}, ), TextNode( text="An organized crime dynasty's aging patriarch transfers control of his clandestine empire to his reluctant son.", metadata={"title": "The Godfather", "theme": "Mafia"}, ), ]

检索示例¶

本节展示通过 ElasticsearchStore 提供的不同检索选项，并演示如何通过 VectorStoreIndex 使用这些功能。

In [ ]:

from llama_index.core import StorageContext, VectorStoreIndex
from llama_index.vector_stores.elasticsearch import ElasticsearchStore

from llama_index.core import StorageContext, VectorStoreIndex from llama_index.vector_stores.elasticsearch import ElasticsearchStore

我们首先定义一个辅助函数，用于获取并打印用户查询输入的结果：

In [ ]:

def print_results(results):
    for rank, result in enumerate(results, 1):
        print(
            f"{rank}. title={result.metadata['title']} score={result.get_score()} text={result.get_text()}"
        )


def search(
    vector_store: ElasticsearchStore, nodes: list[TextNode], query: str
):
    storage_context = StorageContext.from_defaults(vector_store=vector_store)
    index = VectorStoreIndex(nodes, storage_context=storage_context)

    print(">>> Documents:")
    retriever = index.as_retriever()
    results = retriever.retrieve(query)
    print_results(results)

    print("\n>>> Answer:")
    query_engine = index.as_query_engine()
    response = query_engine.query(query)
    print(response)

def print_results(results): for rank, result in enumerate(results, 1): print( f"{rank}. title={result.metadata['title']} score={result.get_score()} text={result.get_text()}" ) def search( vector_store: ElasticsearchStore, nodes: list[TextNode], query: str ): storage_context = StorageContext.from_defaults(vector_store=vector_store) index = VectorStoreIndex(nodes, storage_context=storage_context) print(">>> Documents:") retriever = index.as_retriever() results = retriever.retrieve(query) print_results(results) print("\n>>> Answer:") query_engine = index.as_query_engine() response = query_engine.query(query) print(response)

密集检索¶

这里我们使用来自 OpenAI 的嵌入向量进行搜索。

In [ ]:

from llama_index.vector_stores.elasticsearch import AsyncDenseVectorStrategy

dense_vector_store = ElasticsearchStore(
    es_url="http://localhost:9200",  # for Elastic Cloud authentication see above
    index_name="movies_dense",
    retrieval_strategy=AsyncDenseVectorStrategy(),
)

search(dense_vector_store, movies, "which movie involves dreaming?")

from llama_index.vector_stores.elasticsearch import AsyncDenseVectorStrategy dense_vector_store = ElasticsearchStore( es_url="http://localhost:9200", # for Elastic Cloud authentication see above index_name="movies_dense", retrieval_strategy=AsyncDenseVectorStrategy(), ) search(dense_vector_store, movies, "which movie involves dreaming?")

>>> Documents:
1. title=Inception score=1.0 text=A thief who steals corporate secrets through the use of dream-sharing technology is given the inverse task of planting an idea into thed of a C.E.O.

>>> Answer:
Inception

这也是默认的检索策略：

In [ ]:

default_store = ElasticsearchStore(
    es_url="http://localhost:9200",  # for Elastic Cloud authentication see above
    index_name="movies_default",
)

search(default_store, movies, "which movie involves dreaming?")

default_store = ElasticsearchStore( es_url="http://localhost:9200", # for Elastic Cloud authentication see above index_name="movies_default", ) search(default_store, movies, "which movie involves dreaming?")

>>> Documents:
1. title=Inception score=1.0 text=A thief who steals corporate secrets through the use of dream-sharing technology is given the inverse task of planting an idea into thed of a C.E.O.

>>> Answer:
Inception

稀疏检索¶

对于此示例，您首先需要在 Elasticsearch 部署中部署 ELSER 模型的第二个版本。

In [ ]:

from llama_index.vector_stores.elasticsearch import AsyncSparseVectorStrategy

sparse_vector_store = ElasticsearchStore(
    es_url="http://localhost:9200",  # for Elastic Cloud authentication see above
    index_name="movies_sparse",
    retrieval_strategy=AsyncSparseVectorStrategy(model_id=".elser_model_2"),
)

search(sparse_vector_store, movies, "which movie involves dreaming?")

from llama_index.vector_stores.elasticsearch import AsyncSparseVectorStrategy sparse_vector_store = ElasticsearchStore( es_url="http://localhost:9200", # for Elastic Cloud authentication see above index_name="movies_sparse", retrieval_strategy=AsyncSparseVectorStrategy(model_id=".elser_model_2"), ) search(sparse_vector_store, movies, "which movie involves dreaming?")

>>> Documents:
1. title=Inception score=1.0 text=A thief who steals corporate secrets through the use of dream-sharing technology is given the inverse task of planting an idea into thed of a C.E.O.

>>> Answer:
Inception

关键词检索¶

如需使用经典全文检索功能，可采用 BM25 策略。

In [ ]:

from llama_index.vector_stores.elasticsearch import AsyncBM25Strategy

bm25_store = ElasticsearchStore(
    es_url="http://localhost:9200",  # for Elastic Cloud authentication see above
    index_name="movies_bm25",
    retrieval_strategy=AsyncBM25Strategy(),
)

search(bm25_store, movies, "joker")

from llama_index.vector_stores.elasticsearch import AsyncBM25Strategy bm25_store = ElasticsearchStore( es_url="http://localhost:9200", # for Elastic Cloud authentication see above index_name="movies_bm25", retrieval_strategy=AsyncBM25Strategy(), ) search(bm25_store, movies, "joker")

>>> Documents:
1. title=The Dark Knight score=1.0 text=When the menace known as the Joker wreaks havoc and chaos on the people of Gotham, Batman must accept one of the greatest psychological and physical tests of his ability to fight injustice.

>>> Answer:
The Joker is a menacing character who wreaks havoc and chaos on the people of Gotham, posing a significant challenge for Batman to combat injustice.

混合检索¶

通过设置标志位，可以启用结合密集检索与关键词搜索的混合检索功能。

In [ ]:

from llama_index.vector_stores.elasticsearch import AsyncDenseVectorStrategy

hybrid_store = ElasticsearchStore(
    es_url="http://localhost:9200",  # for Elastic Cloud authentication see above
    index_name="movies_hybrid",
    retrieval_strategy=AsyncDenseVectorStrategy(hybrid=True),
)

search(hybrid_store, movies, "which movie involves dreaming?")

from llama_index.vector_stores.elasticsearch import AsyncDenseVectorStrategy hybrid_store = ElasticsearchStore( es_url="http://localhost:9200", # for Elastic Cloud authentication see above index_name="movies_hybrid", retrieval_strategy=AsyncDenseVectorStrategy(hybrid=True), ) search(hybrid_store, movies, "which movie involves dreaming?")

>>> Documents:
1. title=Inception score=0.36787944117144233 text=A thief who steals corporate secrets through the use of dream-sharing technology is given the inverse task of planting an idea into thed of a C.E.O.

>>> Answer:
"Inception" is the movie that involves dreaming.

元数据过滤器¶

我们还可以根据文档的元数据对查询引擎应用过滤器。

In [ ]:

from llama_index.core.vector_stores import ExactMatchFilter, MetadataFilters

metadata_store = ElasticsearchStore(
    es_url="http://localhost:9200",  # for Elastic Cloud authentication see above
    index_name="movies_metadata",
)
storage_context = StorageContext.from_defaults(vector_store=metadata_store)
index = VectorStoreIndex(movies, storage_context=storage_context)

# Metadata filter
filters = MetadataFilters(
    filters=[ExactMatchFilter(key="theme", value="Mafia")]
)
retriever = index.as_retriever(filters=filters)

results = retriever.retrieve("What is inception about?")
print_results(results)

from llama_index.core.vector_stores import ExactMatchFilter, MetadataFilters metadata_store = ElasticsearchStore( es_url="http://localhost:9200", # for Elastic Cloud authentication see above index_name="movies_metadata", ) storage_context = StorageContext.from_defaults(vector_store=metadata_store) index = VectorStoreIndex(movies, storage_context=storage_context) # Metadata filter filters = MetadataFilters( filters=[ExactMatchFilter(key="theme", value="Mafia")] ) retriever = index.as_retriever(filters=filters) results = retriever.retrieve("What is inception about?") print_results(results)

1. title=The Godfather score=1.0 text=An organized crime dynasty's aging patriarch transfers control of his clandestine empire to his reluctant son.

自定义过滤器与查询重写¶

当前版本的 Elasticsearch 实现仅支持 LlamaIndex 提供的 ExactMatchFilters（精确匹配过滤器）。实际上 Elasticsearch 本身支持多种过滤器类型，包括范围过滤器、地理空间过滤器等。如需使用这些过滤器，您可以通过 es_filter 参数传入字典列表来实现。

In [ ]:

def custom_query(query, query_str):
    print("custom query", query)
    return query


query_engine = index.as_query_engine(
    vector_store_kwargs={
        "es_filter": [{"match": {"title": "matrix"}}],
        "custom_query": custom_query,
    }
)
query_engine.query("what is this movie about?")

def custom_query(query, query_str): print("custom query", query) return query query_engine = index.as_query_engine( vector_store_kwargs={ "es_filter": [{"match": {"title": "matrix"}}], "custom_query": custom_query, } ) query_engine.query("what is this movie about?")

custom query {'knn': {'filter': [{'match': {'title': 'matrix'}}], 'field': 'embedding', 'k': 2, 'num_candidates': 20, 'query_vector': [0.00446691969409585, -0.038953110575675964, -0.023963095620274544, -0.024891795590519905, -0.016729693859815598, 0.017200583592057228, -0.002360992832109332, -0.012622482143342495, -0.009980263188481331, -0.026108263060450554, 0.02950914017856121, 0.018626336008310318, -0.016154160723090172, -0.012099270708858967, 0.03777588531374931, 0.006209868937730789, 0.03539527207612991, -0.011746102944016457, 0.0029888467397540808, -0.022066453471779823, -0.02290359139442444, -0.011752642691135406, -0.018744058907032013, -0.015251620672643185, 0.0034074161667376757, 0.00014756205200683326, 0.022955913096666336, -0.02264198660850525, 0.002032350515946746, -0.021778685972094536, 0.012164671905338764, -0.015055416151881218, 0.006543416064232588, -0.009509372524917126, -0.008632993325591087, -0.006814832333475351, 0.011765723116695881, -0.01788076013326645, 0.00166691979393363, 0.002267795614898205, 0.015460905618965626, -0.016533490270376205, -0.014401402324438095, -0.0142836794257164, -0.020863065496087074, -0.01714826375246048, 0.027913343161344528, -0.032962337136268616, -0.016546569764614105, 0.0019947446417063475, 0.026304468512535095, 0.011706861667335033, -0.03733115270733833, -0.02812262810766697, -0.01879638060927391, 0.003232467221096158, -0.01393051166087389, -0.00879649631679058, 0.018469372764229774, -0.006402803119271994, 0.016481168568134308, 0.009149664081633091, -0.023492205888032913, -0.0024296643678098917, -0.00589921185746789, 0.0089338393881917, -0.016755854710936546, -0.0016309489728882909, -0.011726481840014458, -0.004267445299774408, 0.03162814676761627, 0.04190925508737564, 0.015513226389884949, 0.0019260731060057878, 0.027050044387578964, -0.03780204430222511, -0.038220614194869995, -0.008155561983585358, 0.01085010264068842, 0.021333957090973854, 0.026042861863970757, -0.008122861385345459, -0.021137751638889313, 0.02192256972193718, 0.0020094600040465593, -0.0013415474677458405, -0.0063570220954716206, 0.02903824858367443, 0.006232759449630976, 0.0072072409093379974, 0.00309185404330492, 0.0014167592162266374, 0.03691258653998375, 0.023034395650029182, -0.005048993043601513, 0.025336526334285736, 0.0038652264047414064, 0.009254306554794312, -0.007560409139841795, -0.02906440943479538, -0.00708951847627759, 0.0022220145910978317, -0.016808176413178444, -0.008305985480546951, -0.01105938758701086, -0.0062752701342105865, 0.011602219194173813, -0.011621839366853237, 0.04303416237235069, 0.0014069488970562816, -0.025179563090205193, 0.009293547831475735, 0.01714826375246048, -0.030110832303762436, -0.0007423065835610032, -0.023740731179714203, 0.019594278186559677, 0.0014004088006913662, 0.02074534446001053, -0.01884870044887066, 0.020876146852970123, 0.026814598590135574, 0.01534318272024393, -0.005971153266727924, 0.012328175827860832, -0.014074394479393959, -0.025192642584443092, -0.008855357766151428, 0.006697109900414944, -0.020091328769922256, 0.03050324134528637, -0.0019080876372754574, 0.0057128178887069225, 0.004175883252173662, -0.02783486247062683, 0.0035022483207285404, -0.0032242920715361834, 0.02075842395424843, -0.028253432363271713, -0.024237781763076782, 0.029352176934480667, 0.02979690581560135, -0.027573255822062492, -0.0004287883348297328, -0.02974458411335945, 0.004221664275974035, 0.01598411798477173, 0.02167404443025589, 0.020915387198328972, -0.00558855477720499, 0.011105168610811234, 0.009888701140880585, 0.007318423595279455, 0.0031539855990558863, 0.018992584198713303, 0.016729693859815598, -0.016559649258852005, -0.01837781071662903, -0.01570943184196949, 0.0026340438053011894, -0.01831240952014923, 0.0038815767038613558, -0.001384058385156095, -0.004784116987138987, 0.011281752027571201, 0.04175229370594025, 0.01274674478918314, -0.012328175827860832, -0.01595795713365078, -0.0022449051029980183, -0.011994628235697746, 0.03693874552845955, -0.030817169696092606, 0.01998668722808361, -0.007651971187442541, 0.009561693295836449, 0.01595795713365078, 0.019620439037680626, -0.013256876729428768, 0.012073109857738018, -0.011301372200250626, 0.0334070660173893, 0.028436556458473206, 0.024237781763076782, -0.030869489535689354, 0.023479124531149864, -0.013538102619349957, -0.009130043908953667, 0.00642569363117218, -0.0003075912536587566, -0.005300788674503565, 0.006984876003116369, 0.011092088185250759, -0.007822014391422272, -0.6659438610076904, -0.017449110746383667, 0.009332788176834583, 0.01096128486096859, 0.0040254597552120686, 0.007292263209819794, 0.01466300804167986, -0.006278540473431349, -0.01713518239557743, 0.02048373781144619, -0.007233401760458946, -0.004983591381460428, 0.012236613780260086, -0.01638960652053356, -0.027023883536458015, -0.01574867218732834, -0.0021141022443771362, -0.0309479720890522, -0.010941664688289165, 0.008842277340590954, -0.03544759377837181, 0.03526446968317032, -0.021307796239852905, -0.004947620443999767, 0.02236730046570301, 0.011491036973893642, 0.013001810759305954, -0.019241109490394592, -0.0025997080374509096, -0.003065693425014615, -0.008914219215512276, 0.038194455206394196, 0.0071549201384186745, -0.007625810336321592, 0.03589232265949249, -0.01926727034151554, -0.02520572394132614, 0.019816642627120018, 0.012949489057064056, 0.03740963712334633, -0.004728525876998901, -0.006651328876614571, 0.013603503815829754, 0.004447299521416426, -0.011870365589857101, -0.006517255678772926, 0.037226513028144836, -0.01930651068687439, 0.0057128178887069225, -0.004241284914314747, -0.0015598249156028032, 0.021582482382655144, 0.006111766677349806, 0.0034106862731277943, 0.00404508039355278, -0.007691211998462677, 0.029456818476319313, -0.006926015019416809, 0.007743533235043287, 0.002228554803878069, -0.004136642441153526, 0.028462715446949005, -0.0034957081079483032, -0.001543474500067532, -0.007815474644303322, 0.028384234756231308, 0.01809004507958889, 0.02330908179283142, 0.006497635040432215, -0.039868731051683426, 0.011144408956170082, 0.020352935418486595, 0.00372134312056005, -0.010039124637842178, 0.011595679447054863, 0.015395504422485828, 0.026121344417333603, 0.0022776059340685606, 0.0036199709866195917, -0.010071825236082077, 0.008652613498270512, 0.004401518497616053, -0.02258966490626335, 0.003544759238138795, 0.01854785531759262, 0.01670353300869465, -0.026840759441256523, 0.009457051753997803, -0.01225623395293951, -0.011399474926292896, -0.0077958544716238976, 0.009587854146957397, -0.017802277579903603, -0.021961810067296028, 0.01908414624631405, 0.01880946010351181, 0.00333383958786726, -0.00784817524254322, 0.011641460470855236, -0.016481168568134308, 0.01155643817037344, -0.000591474468819797, 0.022812029346823692, 0.017213664948940277, 0.005814190022647381, 0.0015320292441174388, 0.012472058646380901, 0.009993343614041805, 0.03045092150568962, -0.011079007759690285, 0.008240584284067154, 0.0021909489296376705, -0.013269956223666668, -0.01379970833659172, -0.013034511357545853, -0.02718084678053856, 0.03291001543402672, 0.011085547506809235, 0.02521880343556404, -0.029169052839279175, 0.01404823362827301, -0.020052088424563408, -0.0023217517882585526, 0.00589921185746789, -0.005967883393168449, 0.009751358069479465, -0.007854715920984745, 0.006389722693711519, -0.03152350336313248, 0.01085664238780737, -0.007004496641457081, 0.008992700837552547, 0.0036134307738393545, -0.026971563696861267, -0.0030591534450650215, 0.015513226389884949, 0.010438073426485062, -0.0037802045699208975, -0.0002462773700244725, -0.015840234234929085, -0.023008234798908234, 0.004136642441153526, 0.009365489706397057, 0.0065270657651126385, -0.010496934875845909, -0.014859212562441826, 0.007102598901838064, -0.01344654057174921, -0.017252905294299126, 0.00399275915697217, -0.008960000239312649, -0.03926703706383705, -0.023165198042988777, 0.029142891988158226, 0.0001587007282068953, -0.00047702190931886435, -0.007135299500077963, -0.01595795713365078, -0.005026102531701326, -0.019411154091358185, 0.008122861385345459, -0.01598411798477173, -0.022498102858662605, -0.005441401619464159, 0.02355760708451271, -0.008279824629426003, 0.012458978220820427, 0.024891795590519905, 0.003610160667449236, -0.01858709566295147, -0.01298219058662653, -0.002843328518792987, -0.018403971567749977, 0.036834102123975754, -0.006638248451054096, 0.03045092150568962, 0.009685956872999668, 0.011392934247851372, -0.007488467264920473, 0.0013554452452808619, 0.0029070950113236904, 0.0019195328932255507, -0.028515037149190903, 0.007298802956938744, 0.007540788501501083, -0.014414481818675995, 0.03837757930159569, 0.008861898444592953, -0.017069781199097633, 0.024120058864355087, -0.0069063943810760975, 0.03636321425437927, -0.014819971285760403, 0.00019395620620343834, -0.01598411798477173, -0.004290335811674595, 0.020287534222006798, 0.014584526419639587, 0.004594452679157257, 0.01689973846077919, 0.04899877682328224, -0.016481168568134308, 0.02599054016172886, -0.01641576737165451, -0.008188262581825256, -0.01739678904414177, 0.011026686057448387, -0.02950914017856121, 0.02094154804944992, 0.010863183066248894, 0.023152116686105728, -0.016742773354053497, -0.005405430682003498, -0.00673635071143508, 0.006932554766535759, 0.023452963680028915, -0.018691737204790115, 0.025846658274531364, -0.0356568768620491, 0.0031539855990558863, -0.010680058971047401, -0.002248175209388137, -0.008508729748427868, -0.004120292142033577, -0.01022878848016262, 0.022040292620658875, 0.01165454089641571, 0.008848818019032478, 0.02809646725654602, -0.03243912383913994, -0.021072350442409515, -0.002400233643129468, -0.027076205238699913, 0.008410627953708172, -0.0034924380015581846, -0.005984233692288399, 0.0010202628327533603, 0.01760607399046421, 0.014492964372038841, -0.01880946010351181, -0.029352176934480667, 0.04672280326485634, 0.032255999743938446, -0.024891795590519905, 0.023623008280992508, -0.02308671548962593, 0.03152350336313248, 0.027913343161344528, 0.002375708194449544, 0.026016701012849808, -0.024407826364040375, 0.012334715574979782, -0.004807007499039173, 0.009921401739120483, -0.027704060077667236, -0.011464876122772694, -0.01047731377184391, -0.020889226347208023, 0.028462715446949005, 0.022511182352900505, -0.0015238540945574641, 0.00047211680794134736, 0.008462948724627495, -0.0050849635154008865, 0.0148853724822402, -0.022537343204021454, 0.002784467302262783, -0.002269430784508586, 0.006317781284451485, -0.01760607399046421, 0.002864584093913436, -0.020562220364809036, 0.009790598414838314, -0.00941781047731638, -0.0030035621020942926, 0.006239299662411213, 0.01466300804167986, 0.010830482468008995, 0.011111708357930183, 0.0101241460070014, -0.017985401675105095, -0.03288385644555092, 0.022772789001464844, 0.011876905336976051, -0.022458862513303757, -0.026971563696861267, -0.029456818476319313, -0.024237781763076782, -0.014623766764998436, 0.03780204430222511, 0.002068321220576763, 0.02592513896524906, 0.001957138767465949, -0.0013399124145507812, -0.011988087557256222, 0.01106592733412981, 0.014022073708474636, 0.008724555373191833, 0.019646599888801575, -0.027965664863586426, -0.0009671241277828813, -0.014087474904954433, -0.003140905173495412, -0.03937168046832085, 0.011092088185250759, -0.0017265985952690244, 0.015918714925646782, -0.025598132982850075, 0.013969752006232738, -0.0055460440926253796, -0.009901781566441059, -0.009908321313560009, -0.017082862555980682, 0.0030280877836048603, -0.016742773354053497, -0.005696467123925686, -0.015539387241005898, 0.0006401168066076934, 0.010071825236082077, -0.0026144233997911215, 0.0011984817683696747, -0.03045092150568962, -0.016572730615735054, -0.0025441169273108244, 0.10736303776502609, 0.03238680213689804, 0.0078023942187428474, 0.03045092150568962, 0.00031617519562132657, -0.02235421910881996, -0.011275212280452251, -0.025872819125652313, 0.011582599021494389, 0.009188905358314514, 0.0075015476904809475, 0.0010889343684539199, 0.005905752070248127, -0.0003386569442227483, 0.013511941768229008, 0.016494248062372208, 0.010346511378884315, 0.015670189633965492, -0.0006842627772130072, -0.029639942571520805, -0.0026700147427618504, 0.00369191262871027, 0.02885512448847294, 0.025061840191483498, -0.01860017515718937, -0.030320117250084877, 0.007436146028339863, 0.001064408803358674, -0.006854073144495487, 0.01379970833659172, -0.026343708857893944, -0.007449226453900337, -0.007782774046063423, -0.008960000239312649, -0.003358365036547184, 0.016507329419255257, 0.018992584198713303, 0.03024163655936718, 0.05313214659690857, -0.009672876447439194, -0.005974423605948687, -0.003001927165314555, 0.0035185986198484898, -0.0178676787763834, 0.005886131431907415, -0.02736397087574005, -0.004924729932099581, 0.02551965042948723, 0.03549991175532341, -0.012753285467624664, 0.03479357808828354, 0.010307270102202892, -0.02694540284574032, 0.001117547508329153, 0.027285490185022354, -0.009306628257036209, -0.002506511053070426, 0.0007181898108683527, -0.0020454307086765766, 0.02664455585181713, -0.010418453253805637, -0.03160198777914047, 0.007357664406299591, -0.003590540261939168, 0.00369191262871027, -0.04980975389480591, -0.0014412846649065614, -0.03220367804169655, -0.0038848468102514744, -0.015251620672643185, -0.013786627911031246, -0.02733781188726425, -0.03165430575609207, -0.030110832303762436, 0.012485139071941376, 0.004244554787874222, 0.004892029333859682, -0.007043737452477217, -0.008999241515994072, 0.029221372678875923, -0.019201869145035744, -0.02406773716211319, -0.0036722919903695583, -0.01670353300869465, 0.003288058564066887, 0.02449938841164112, -0.0011584233725443482, 0.0019538686610758305, -0.0035120584070682526, 0.020784584805369377, 0.006697109900414944, 0.02669687755405903, 0.010202627629041672, -0.019594278186559677, 0.027076205238699913, -0.003312584012746811, 0.017265986651182175, 0.0226158257573843, 0.01404823362827301, -0.02528420463204384, 0.010431532748043537, -0.028253432363271713, -0.006563036702573299, -0.022772789001464844, -0.006628438364714384, -0.013616584241390228, -0.01357734389603138, 0.01619340106844902, -0.01619340106844902, -0.012328175827860832, -0.024224702268838882, -0.02238037995994091, -0.012223533354699612, -0.004493080545216799, 0.012210452929139137, 0.012864467687904835, -0.004918189719319344, 0.0427987165749073, -0.0030787738505750895, 0.0016489343252032995, 0.013191474601626396, -0.02621290646493435, 0.010156846605241299, 0.012177752330899239, -0.007534248288720846, -0.013865109533071518, 0.015774833038449287, -0.043975941836833954, 0.010876263491809368, 0.002223649760708213, -0.012884087860584259, 0.033459387719631195, 0.0023887883871793747, -0.016036437824368477, -0.026069022715091705, -0.012347796000540257, -0.0190449059009552, 0.03071252629160881, -0.01809004507958889, -0.025794336572289467, -0.007612730376422405, -0.011687241494655609, 0.005745518486946821, -0.018233926966786385, 0.017802277579903603, -0.025912059471011162, -0.015853313729166985, -0.022223416715860367, -0.0014429197181016207, 0.011392934247851372, -0.012321635149419308, 0.0031392702367156744, -0.003937168046832085, -0.03000619076192379, 0.006703649647533894, -0.046094950288534164, -0.002777927089482546, 0.00033599999733269215, 0.011249051429331303, 0.011406014673411846, 0.02759941667318344, 0.00559836532920599, 0.01781535893678665, 0.01403515413403511, -0.010627737268805504, 0.023034395650029182, -0.01179188396781683, 0.004846248310059309, -0.03555223345756531, 0.037488117814064026, 0.028384234756231308, -0.00025710949557833374, 0.017566831782460213, -0.01165454089641571, 0.015251620672643185, 0.01976432092487812, 0.020549139007925987, 0.012406657449901104, -0.02092846855521202, -0.037304993718862534, -0.014349080622196198, 0.0015230365097522736, -0.01347270142287016, -0.007455766666680574, -0.014375241473317146, -0.024604029953479767, 0.002305401489138603, 0.00023564964067190886, -0.009365489706397057, -0.019136467948555946, 0.04091515392065048, -0.0013824234483763576, 0.0012303650146350265, -0.004139912314713001, 0.004957430996000767, 0.01022878848016262, -0.0014968760078772902, -0.0032749781385064125, 0.005742248147726059, -0.005523153580725193, 0.008449869230389595, 0.012001167982816696, -0.001093839411623776, 0.011811504140496254, 0.0018786570290103555, 0.01955503784120083, -0.004257635213434696, -0.008305985480546951, 0.0025751825887709856, 0.000532204401679337, -0.0029430657159537077, -0.00808362103998661, -0.018220847472548485, -0.03424420580267906, 0.0008780146017670631, -0.013642745092511177, -0.008946919813752174, 0.00917582493275404, 0.006978335790336132, -0.01877021975815296, 0.009313168004155159, -0.0001295766414841637, 0.05195492133498192, 0.020666861906647682, 0.023897694423794746, 0.009757897816598415, -0.004771036561578512, -0.0031196498312056065, 0.007011036854237318, 0.0031703358981758356, 0.009574773721396923, 0.02308671548962593, 0.020562220364809036, 0.0075865695253014565, 0.005052262917160988, -0.01621956191956997, -0.005961343180388212, -0.0334070660173893, -0.01534318272024393, 0.0018590365070849657, 0.027573255822062492, 0.00916928518563509, -0.011504117399454117, -0.02807030826807022, 0.008404088206589222, 0.037043388932943344, -0.003065693425014615, 0.007815474644303322, -0.021857168525457382, -0.03861302137374878, -0.023296000435948372, -0.01810312457382679, -0.004702365025877953, 0.022550424560904503, -0.0034172264859080315, -0.024826394394040108, 0.016716614365577698, -0.021543242037296295, 0.006422423757612705, -0.0148853724822402, -0.013969752006232738, 0.027573255822062492, -0.006553226616233587, 0.011157489381730556, 0.015160058625042439, -0.002540846820920706, -0.0028220731765031815, 0.002995386952534318, 0.012714044190943241, 0.025323446840047836, -0.022668147459626198, 0.007115678861737251, 0.008384467102587223, 0.00738382525742054, 0.016141081228852272, -0.004381897859275341, -0.022275738418102264, -0.0357615202665329, 0.0017674744594842196, 0.007213781122118235, 0.01807696372270584, 0.006749430671334267, -0.009888701140880585, -0.008737634867429733, -0.01788076013326645, -0.00024464234593324363, -0.025166481733322144, -0.01226277370005846, -0.011746102944016457, -0.016036437824368477, -0.02830575220286846, -0.026539912447333336, 0.014846132136881351, 0.018233926966786385, -0.00168408767785877, 0.00941781047731638, 0.027050044387578964, 0.04905109480023384, -0.027520935982465744, -0.010451153852045536, -0.009725197218358517, 0.022275738418102264, -0.02026137337088585, 0.005258277524262667, 0.0011862190440297127, -0.016585810109972954, 0.03497670218348503, -0.010287649929523468, -0.002465635072439909, -0.00798551831394434, -0.0032390074338763952, -0.0062752701342105865, -0.0017020730301737785, -0.01760607399046421, -0.002083036582916975, 0.013250336050987244, -0.013734307140111923, -0.007233401760458946, -0.003227562177926302, 0.011752642691135406, -0.018233926966786385, 0.012622482143342495, 0.010666978545486927, 0.001635854016058147, 0.012105810455977917, -0.005163445603102446, 0.004391707945615053, -0.01641576737165451, -0.02979690581560135, -0.013995912857353687, 0.0040614306926727295, 0.01557862851768732, 0.001187854097224772, 0.00878995656967163, -0.020169811323285103, -0.014754570089280605, -0.008135941810905933, 0.020143650472164154, -0.007514628116041422, 0.0005816642660647631, 0.014519124291837215, 0.03021547570824623, -0.00906464271247387, 0.007776233833283186, 0.008430248126387596, 0.010653898119926453, -0.018194686621427536, -0.018443211913108826, -0.027233168482780457, -0.0356307178735733, -0.010052205063402653, 0.018011562526226044, 0.01357734389603138, -0.015892555937170982, -0.014375241473317146, -0.009685956872999668, -0.016114920377731323, 0.003227562177926302, 0.0010055474704131484, 0.01645500771701336, 0.03950248286128044, -0.0003386569442227483, -0.0027059854473918676, 0.008750715292990208, 0.000965489074587822, 0.01812928542494774, -0.009790598414838314, -0.006160817574709654, 0.017684554681181908, -0.017252905294299126, 0.0009115329012274742, 0.014257518574595451, -0.01952887699007988, 0.0010227153543382883, 0.004937810357660055, 0.004182423464953899, -0.006272000260651112, 0.016795095056295395, -0.01931959204375744, -0.0028809343930333853, 0.010156846605241299, 0.007893956266343594, 0.006265460047870874, -0.004110482055693865, -0.02194873057305813, -0.025781257078051567, 0.007266102358698845, 0.012871007435023785, 0.009254306554794312, -0.0017020730301737785, -0.02308671548962593, 0.03476741537451744, -0.01621956191956997, 0.00966633576899767, -0.023191358894109726, -0.03604928404092789, 0.001555737224407494, -0.008874977938830853, 0.011046307161450386, 0.017069781199097633, 0.014924613758921623, 0.014061314053833485, 0.008626452647149563, -0.025585051625967026, -0.004676204640418291, 0.005127474665641785, -0.004169343039393425, -0.011242511682212353, -0.007560409139841795, -0.010869722813367844, 0.0032945985440164804, -0.0056310659274458885, 0.02120315469801426, -0.014689167961478233, 0.0038652264047414064, -0.012066570110619068, 0.0050359126180410385, -0.028985928744077682, 0.02480023354291916, 0.0015287591377273202, -0.01382586918771267, -0.00820134300738573, -0.006697109900414944, -0.0031310950871556997, -0.007128759287297726, -0.006448584143072367, 0.011562978848814964, -0.012517839670181274, -0.007246482186019421, 0.004800467286258936, -0.00540870102122426, -0.028724322095513344, 0.009672876447439194, -0.01831240952014923, -0.015186219476163387, 0.029404496774077415, 0.2164003551006317, 0.019398072734475136, -0.015787912532687187, 0.02193565107882023, 0.004630423616617918, 0.027390131726861, 0.03243912383913994, 0.0043230364099144936, -0.007213781122118235, 0.009365489706397057, 0.005915562156587839, 0.021870248019695282, 0.017239825800061226, 0.0007799124578014016, -0.007279182784259319, -0.035709198564291, -0.008266745135188103, -0.01574867218732834, -0.0014788905391469598, -0.038220614194869995, -0.009332788176834583, 0.003646131604909897, -0.026762278750538826, -0.014702248387038708, 0.026003621518611908, -0.0004108029243070632, 0.01662505231797695, -0.020771503448486328, 0.00620005838572979, 0.013564263470470905, 0.0013399124145507812, -0.04067970812320709, 0.007429606281220913, -0.010778160765767097, -0.01712210290133953, -0.007298802956938744, -0.006641518324613571, -0.012766364961862564, 0.019371913745999336, 0.002719065872952342, -0.0026356789749115705, -0.009195445105433464, 0.003201401559635997, 0.004342657048255205, 0.002818803070113063, 0.007449226453900337, -0.005784759297966957, -0.0009802044369280338, -0.0049508907832205296, -0.005732438061386347, -0.024590950459241867, -0.01085664238780737, 0.015552467666566372, 0.04578102380037308, -0.011020146310329437, 0.011517197825014591, 0.0006262189708650112, -0.010948204435408115, -0.0008943650173023343, -0.0015025986358523369, -0.004326306749135256, 0.03068636544048786, -0.026618395000696182, 0.00846948940306902, -0.0018802920822054148, 0.02622598595917225, -0.032072875648736954, 0.008986161090433598, 0.008868438191711903, -0.014008993282914162, -0.01344654057174921, -0.014453723095357418, -0.01662505231797695, -0.004558481741696596, 0.001986569492146373, 0.009221605956554413, 0.010065284557640553, 0.014322919771075249, 0.01884870044887066, 0.012557080946862698, -0.018286248669028282, -0.01298873033374548, -0.005461022257804871, -0.011131328530609608, -0.023466045036911964, -0.02427702210843563, 0.005833810195326805, -0.021137751638889313, 0.0045257811434566975, -0.016507329419255257, 0.004182423464953899, -0.03000619076192379, -0.008953460492193699, 0.007429606281220913, 0.006965255830436945, 0.014336000196635723, 0.023439884185791016, 0.04190925508737564, -0.013420379720628262, -0.0024018685799092054, -0.03353786841034889, -0.00998680293560028, 0.012458978220820427, 0.0007145109702832997, -0.018887942656874657, -0.01663813181221485, -0.012661723420023918, 0.026814598590135574, 0.016036437824368477, -0.009816759265959263, 0.008063999935984612, 0.009195445105433464, 0.017213664948940277, -0.017305226996541023, -0.0006294890772551298, 0.006170628126710653, 0.008966539986431599, -0.01784151792526245, 0.020836906507611275, -0.03693874552845955, 0.001570452586747706, -0.011229431256651878, -0.019816642627120018, -0.008855357766151428, 0.005006481893360615, -0.011948847211897373, 0.00018894890672527254, 0.004411328583955765, 0.00012375182996038347, -0.017436029389500618, 0.004878948908299208, -0.012812145985662937, 0.010333430953323841, -0.002864584093913436, -0.0007157372310757637, 0.007233401760458946, 0.012942949309945107, 0.015591708943247795, -0.010045664384961128, 0.027468614280223846, 0.01239357702434063, -0.01026148907840252, 0.0020650511141866446, 0.006464934442192316, 0.003727883333340287, -0.031104935333132744, 0.021556321531534195, -0.008417167700827122, -0.002374073024839163, -0.022511182352900505, -0.009509372524917126, -0.039450161159038544, -0.001117547508329153, -0.017946161329746246, 0.003747503738850355, -0.045833345502614975, -0.022432701662182808, -0.03073868714272976, -0.01688665710389614, 0.021320875734090805, -0.00500321201980114, 0.02478715404868126, 0.009339328855276108, -0.0006818102556280792, -0.02045757696032524, 0.000785226293373853, -0.16763702034950256, 0.0033354745246469975, 0.009352409280836582, -0.0072007011622190475, 0.02617366425693035, -0.0004385985666885972, 0.012478599324822426, 0.032543767243623734, -0.011092088185250759, -0.0011968467151746154, 0.00987562071532011, 0.012799066491425037, -0.027520935982465744, 0.0038554160855710506, -0.003242277540266514, 0.001795270130969584, 0.01806388422846794, 0.007063358090817928, 0.011641460470855236, 0.0030885839369148016, 0.009725197218358517, 0.007455766666680574, 0.01415287610143423, 0.0039306278340518475, 0.012622482143342495, -0.014741489663720131, 0.027547094970941544, 0.013250336050987244, 0.003544759238138795, -0.005510073155164719, -0.009090803563594818, -0.0010799416340887547, 0.0021860438864678144, 0.024120058864355087, 0.009201985783874989, 0.009803678840398788, 0.0025604672264307737, -0.011543357744812965, -0.023910773918032646, 0.009260847233235836, 0.013564263470470905, -0.004247825127094984, 0.009901781566441059, -0.016311123967170715, 0.014231357723474503, 0.03432268649339676, 0.01476765051484108, 0.00977097824215889, 0.024486307054758072, -0.007351124193519354, 0.018874861299991608, -0.03215136006474495, -0.0032210219651460648, -0.014571445994079113, 0.027704060077667236, 0.021974891424179077, 0.0022972263395786285, 0.005294248461723328, -0.004110482055693865, 0.00220729922875762, -0.030660204589366913, 0.0006115036667324603, 0.004283795598894358, -0.0020912117324769497, -0.014924613758921623, -0.022066453471779823, 0.0053334892727434635, 0.00809016078710556, -0.01716134324669838, 0.009228146634995937, -0.009025401435792446, 0.010536175221204758, -0.010084905661642551, -0.005722627975046635, 0.0071680000983178616, 0.020091328769922256, -0.01903182454407215, 0.022812029346823692, 0.01574867218732834, 0.016795095056295395, -0.006638248451054096, 0.03842989727854729, -0.010660437867045403, 0.007056817878037691, 0.027573255822062492, 0.0021255475003272295, -0.008737634867429733, -0.025585051625967026, 0.005163445603102446, -0.008273284882307053, -0.006997956428676844, -0.02956146001815796, -0.021765606477856636, -0.013289577327668667, 0.004663124214857817, 0.016088759526610374, 0.009757897816598415, 0.017920000478625298, 0.016363445669412613, -0.01831240952014923, -0.0032504526898264885, -0.007573489099740982, -0.0048691388219594955, 0.008547971025109291, 0.022105693817138672, 0.02733781188726425, 0.02498335763812065, 0.0007770511438138783, 0.01226277370005846, -0.011948847211897373, 0.006039824802428484, 0.000842043838929385, 0.024185460060834885, 0.03911007568240166, -0.0009736642823554575, 0.0018770219758152962, 0.010980905033648014, -0.00540870102122426, 0.009201985783874989, 0.0022612556349486113, 0.050882335752248764, 0.007972437888383865, -0.020771503448486328, -0.0014911533799022436, -0.007115678861737251, -0.027677899226546288, -0.08392315357923508, -0.011353693902492523, -0.01620648242533207, 0.019685840234160423, -0.02019597217440605, 0.01975124143064022, -0.005895941983908415, 0.006814832333475351, 0.004159532953053713, 0.037749722599983215, -0.004581372253596783, -0.03542143106460571, 0.004231474362313747, -0.007455766666680574, 0.002687999978661537, -0.009234686382114887, -0.03314546123147011, -0.014492964372038841, -0.011634919792413712, 0.010738920420408249, -0.02950914017856121, -0.007972437888383865, -0.014414481818675995, -0.02214493416249752, -0.004963970743119717, -0.007691211998462677, -0.024250861257314682, 0.004205313976854086, 0.008391007781028748, 0.03045092150568962, -0.01759299263358116, -0.024002335965633392, 0.0018574015703052282, -0.037723563611507416, 0.021373197436332703, -0.009221605956554413, -0.01224969420582056, -0.007612730376422405, 0.02141243778169155, -0.04366201534867287, 0.008168642409145832, 0.02405465766787529, 0.007861255668103695, -0.025781257078051567, 0.011504117399454117, -0.007625810336321592, -0.021621722728013992, 0.029613781720399857, 0.01763223484158516, -0.03136654198169708, -0.032491445541381836, -0.007560409139841795, -0.027233168482780457, -0.011366774328052998, 0.030607884749770164, -0.0030051972717046738, 0.018273169174790382, -0.0065728467889130116, -0.008456408977508545, 0.002208934398368001, 0.0014036789070814848, 0.008116321638226509, -0.012779445387423038, 0.007893956266343594, 0.0067755915224552155, -0.020052088424563408, 0.0061804382130503654, 0.014623766764998436, 0.02383229322731495, -0.0130933728069067, -0.02070610225200653, 0.006281810346990824, -0.009443971328437328, -0.007161459885537624, -0.024420905858278275, -0.006912934593856335, -0.026343708857893944, -0.0018099854933097959, 0.012949489057064056, -0.0357876792550087, -0.010725839994847775, -0.011759182438254356, 0.03288385644555092, -0.017279066145420074, 0.003080408787354827, 0.007808934431523085, 0.0032406423706561327, 0.006648058537393808, 0.004411328583955765, 0.0008649343508295715, -0.01836473122239113, 0.017710715532302856, -0.00261769350618124, -0.013721226714551449, -0.029953869059681892, 0.02383229322731495, -0.008711474947631359, -0.0020536058582365513, 0.006242569535970688, 0.02622598595917225, -0.016782015562057495, -0.0034074161667376757, -0.06001238152384758, 0.011975008063018322, 0.00673635071143508, -0.022498102858662605, 0.005320408847182989, 0.0032651680521667004, 0.03761892020702362, -0.021503999829292297, 0.011334073729813099, 0.017671475186944008, -0.005045722704380751, 0.016311123967170715, 0.01928035169839859, 0.004633693490177393, -0.01225623395293951, -0.02572893537580967, -0.005290978122502565, -0.017422949895262718, 0.0012050219811499119, 0.002128817606717348, -0.015447825193405151, -0.036310892552137375, 0.015800993889570236, 0.009587854146957397, -0.006033285055309534, -0.006729810498654842, -0.005487182643264532, 0.01025494933128357, -0.04217086359858513, -0.0017674744594842196, 0.008057460188865662, -0.00018905110482592136, 0.007887416519224644, 0.013511941768229008, 0.017305226996541023, -0.0024296643678098917, -0.012086190283298492, 0.022785868495702744, 0.01621956191956997, 0.02670995704829693, 0.005614715628325939, -0.010398832149803638, 0.01810312457382679, -0.004947620443999767, 0.00903848186135292, 0.016847416758537292, -0.03026779741048813, -0.008286365307867527, 0.03280537202954292, 0.0016701897839084268, 0.03165430575609207, 0.00577821908518672, -0.02019597217440605, -0.034453488886356354, -0.007828555069863796, 0.006801751907914877, 0.023439884185791016, -0.014597605913877487, -0.007861255668103695, 0.0030133724212646484, 0.026239067316055298, 0.006249109748750925, -0.001480525592342019, 0.009535533376038074, 0.012942949309945107, 0.02546732872724533, -0.003217751858755946, 0.007599649950861931, 0.0005305693484842777, -0.035866159945726395, 0.016795095056295395, 0.004349197261035442, 0.0056670368649065495, 0.0017642044695094228, 0.013328817673027515, 0.01082394178956747, 0.000770510989241302, -0.017959240823984146, -0.005068613216280937, 0.005922102369368076, 0.022079532966017723, -0.015526306815445423, -0.034191884100437164, 0.005807649809867144, 0.04005185514688492, 0.008077080361545086, -0.004100671503692865, 0.019123386591672897, 0.001824700739234686, 0.013551183044910431, -0.01107246708124876, 0.01998668722808361, 0.014401402324438095, 0.00214353296905756, 0.0015025986358523369, 0.0017102481797337532, -0.01810312457382679, -0.00434592692181468, 0.007298802956938744, 0.025781257078051567, 0.00952899269759655, -0.0023381023202091455, -0.004584642592817545, -0.030058512464165688, -0.0009752992773428559, 0.0035545695573091507, -0.005768408998847008, -0.03073868714272976, -0.0007038832409307361, 0.013041051104664803, 0.01975124143064022, 0.010686598718166351, -0.02285127155482769, 0.012563620693981647, -0.03259608894586563, -0.005817459896206856, 0.020313693210482597, -0.0006372554926201701, -0.010725839994847775, 0.032543767243623734, -0.005068613216280937, 0.00079013139475137, 0.023518364876508713, -0.0057978397235274315, 0.022001052275300026, 0.0022727008908987045, 0.024682512506842613, -0.019960526376962662, -0.02312595769762993, 0.010189548134803772, 0.0015827154275029898, 0.01359042339026928, -0.020182890817523003, 0.0031310950871556997, -0.003384525654837489, -0.020653782412409782, -0.007828555069863796, 0.022275738418102264, -0.026788439601659775, 0.05140554904937744, 0.003551299450919032, 0.019188789650797844, -0.01239357702434063, -0.022288817912340164, -0.00019835037528537214, 0.008057460188865662, 0.01141909509897232, -0.027442453429102898, -0.010143767111003399, 0.010516555048525333, 0.004578102380037308, 0.005199416074901819, 0.002365897875279188, -0.02354452572762966, 0.004826627671718597, -0.018247008323669434, 0.00843678880482912, -0.0029185402672737837, -0.016023358330130577, 0.007239941973239183, 0.0027108904905617237, 0.005670306738466024, -0.011366774328052998, -0.0008412263123318553, 0.008266745135188103, 0.035107504576444626, 0.00035316788125783205, -0.0018443212611600757, -0.03696490451693535, -0.0069521754048764706, -0.0019048175308853388, -0.006569576915353537, -0.015591708943247795, 0.03283153474330902, -0.006455124355852604, -0.0005694014835171402, -0.006971796043217182, -0.009430890902876854, 0.013420379720628262, 0.008129402063786983, 0.014375241473317146, -0.017331387847661972, -0.015853313729166985, 0.018678657710552216, -0.008711474947631359, -0.0154739860445261, -0.026788439601659775, -0.030634045600891113]}}