dream

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services:
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  agent:
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    command: sh -c 'bin/wait && python -m deeppavlov_agent.run agent.pipeline_config=assistant_dists/dream_voice/pipeline_conf.json'
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    environment:
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      WAIT_HOSTS: "dff-program-y-skill:8008, sentseg:8011, convers-evaluation-selector:8009, 
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          dff-intent-responder-skill:8012, intent-catcher:8014,
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          dialogpt:8125, sentence-ranker:8128,
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          voice-service:8333, dff-voice-skill:8444"
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      WAIT_HOSTS_TIMEOUT: ${WAIT_TIMEOUT:-1200}
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      HIGH_PRIORITY_INTENTS: 1
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      RESTRICTION_FOR_SENSITIVE_CASE: 1
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      ALWAYS_TURN_ON_ALL_SKILLS: 0
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      LANGUAGE: EN
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      FALLBACK_FILE: fallbacks_dream_en.json
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  files:
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    image: julienmeerschart/simple-file-upload-download-server
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  dff-program-y-skill:
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    env_file: [.env]
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    build:
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      args:
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        SERVICE_PORT: 8008
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        SERVICE_NAME: dff_program_y_skill
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        LANGUAGE: EN
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      context: .
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      dockerfile: ./skills/dff_program_y_skill/Dockerfile
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    command: gunicorn --workers=1 server:app -b 0.0.0.0:8008 --reload
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    deploy:
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      resources:
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        limits:
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          memory: 1024M
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        reservations:
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          memory: 1024M
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  sentseg:
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    env_file: [.env]
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    build:
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      context: ./annotators/SentSeg/
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    command: flask run -h 0.0.0.0 -p 8011
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    environment:
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      - FLASK_APP=server
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    deploy:
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      resources:
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        limits:
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          memory: 1.5G
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        reservations:
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          memory: 1.5G
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  convers-evaluation-selector:
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    env_file: [.env]
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    build:
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      args:
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        TAG_BASED_SELECTION: 1
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        CALL_BY_NAME_PROBABILITY: 0.5
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        PROMPT_PROBA: 0.1
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        ACKNOWLEDGEMENT_PROBA: 0.3
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        PRIORITIZE_WITH_REQUIRED_ACT: 0
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        PRIORITIZE_NO_DIALOG_BREAKDOWN: 0
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        PRIORITIZE_WITH_SAME_TOPIC_ENTITY: 0
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        IGNORE_DISLIKED_SKILLS: 0
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        GREETING_FIRST: 1
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        RESTRICTION_FOR_SENSITIVE_CASE: 1
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        PRIORITIZE_PROMTS_WHEN_NO_SCRIPTS: 1
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        MAX_TURNS_WITHOUT_SCRIPTS: 7
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        ADD_ACKNOWLEDGMENTS_IF_POSSIBLE: 1
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        PRIORITIZE_SCRIPTED_SKILLS: 0
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        CONFIDENCE_STRENGTH: 0.8
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        CONV_EVAL_STRENGTH: 0.4
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        PRIORITIZE_HUMAN_INITIATIVE: 1
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        QUESTION_TO_QUESTION_DOWNSCORE_COEF: 0.8
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        LANGUAGE: EN
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        FALLBACK_FILE: fallbacks_dream_en.json
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      context: .
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      dockerfile: ./response_selectors/convers_evaluation_based_selector/Dockerfile
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    command: flask run -h 0.0.0.0 -p 8009
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    environment:
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      - FLASK_APP=server
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    deploy:
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      resources:
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        limits:
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          memory: 256M
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        reservations:
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          memory: 256M
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  dff-intent-responder-skill:
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    env_file: [ .env ]
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    build:
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      args:
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        SERVICE_PORT: 8012
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        SERVICE_NAME: dff_intent_responder_skill
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        INTENT_RESPONSE_PHRASES_FNAME: intent_response_phrases.json
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      context: .
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      dockerfile: ./skills/dff_intent_responder_skill/Dockerfile
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    command: gunicorn --workers=1 server:app -b 0.0.0.0:8012 --reload
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    deploy:
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      resources:
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        limits:
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          memory: 128M
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        reservations:
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          memory: 128M
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  intent-catcher:
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    env_file: [.env]
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    build:
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      context: .
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      dockerfile: ./annotators/IntentCatcherTransformers/Dockerfile
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      args:
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        SERVICE_PORT: 8014
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        CONFIG_NAME: intents_model_dp_config.json
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        INTENT_PHRASES_PATH: intent_phrases.json
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    command:  python -m flask run -h 0.0.0.0 -p 8014
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    environment:
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      - FLASK_APP=server
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      - CUDA_VISIBLE_DEVICES=0
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    deploy:
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      resources:
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        limits:
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          memory: 3.5G
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        reservations:
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          memory: 3.5G
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  dialogpt:
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    env_file: [ .env ]
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    build:
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      args:
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        SERVICE_PORT: 8125
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        SERVICE_NAME: dialogpt
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        PRETRAINED_MODEL_NAME_OR_PATH: microsoft/DialoGPT-medium
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        N_HYPOTHESES_TO_GENERATE: 5
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        CONFIG_NAME: dialogpt_en.json
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        MAX_HISTORY_DEPTH: 2
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      context: .
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      dockerfile: ./services/dialogpt/Dockerfile
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    command: flask run -h 0.0.0.0 -p 8125
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    environment:
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      - CUDA_VISIBLE_DEVICES=0
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      - FLASK_APP=server
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    deploy:
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      resources:
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        limits:
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          memory: 2G
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        reservations:
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          memory: 2G
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  sentence-ranker:
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    env_file: [ .env ]
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    build:
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      args:
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        SERVICE_PORT: 8128
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        SERVICE_NAME: sentence_ranker
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        PRETRAINED_MODEL_NAME_OR_PATH: sentence-transformers/all-MiniLM-L6-v2
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      context: ./services/sentence_ranker/
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    command: flask run -h 0.0.0.0 -p 8128
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    environment:
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      - CUDA_VISIBLE_DEVICES=0
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      - FLASK_APP=server
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    deploy:
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      resources:
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        limits:
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          memory: 3G
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        reservations:
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          memory: 3G
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  voice-service:
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    env_file: [ .env ]
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    build:
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      args:
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        SERVICE_PORT: 8333
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        SERVICE_NAME: voice_service
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      context: ./services/voice_service/
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    command: python -m flask run -h 0.0.0.0 -p 8333
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    environment:
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      - CUDA_VISIBLE_DEVICES=0
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      - FLASK_APP=server
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    deploy:
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      resources:
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        limits:
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          memory: 5G
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        reservations:
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          memory: 5G
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  dff-voice-skill:
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    env_file: [ .env ]
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    build:
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      args:
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        SERVICE_PORT: 8444
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        SERVICE_NAME: dff_voice_skill
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      context: .
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      dockerfile: ./skills/dff_voice_skill/Dockerfile
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    command: gunicorn --workers=1 server:app -b 0.0.0.0:8444 --reload
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    environment:
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      - FLASK_APP=server
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    deploy:
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      resources:
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        limits:
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          memory: 5G
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        reservations:
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          memory: 5G       
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version: '3.7'
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