docs/intro2updated.ipynb

{
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      "metadata": {
        "id": "vTwpDNBnorUT"
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      "source": [
        "# ColBERTv2: Indexing & Search Notebook\n",
        "Welcome to DSPy's official ColBERT notebook! This notebook will teach you how to download the ColBERT library and LoTTE datasets, run the Indexer on the LoTTE passages and a sample language model, and use the Searcher to output the most relevant passages to various queries. You can test your own custom queries once you finish running all cells.\n",
        "\n",
        "If you're working in Google Colab, we recommend selecting \"GPU\" as your hardware accelerator in the runtime settings.\n",
        "\n",
        "First, we'll import the relevant classes. Note that `Indexer` and `Searcher` are the key actors here. Next, we'll download the necessary dependencies."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FmBi2UT5pxb3",
        "outputId": "fefd7613-cb3d-4ad1-e8c9-6a1cc58081c1"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "Requirement already satisfied: confection<1.0.0,>=0.0.1 in /usr/local/lib/python3.10/dist-packages (from thinc<8.2.0,>=8.1.8->spacy->colbert-ir[faiss-gpu,torch]) (0.1.3)\n",
            "Collecting huggingface-hub<1.0.0,>=0.14.0 (from datasets->colbert-ir[faiss-gpu,torch])\n",
            "  Downloading huggingface_hub-0.17.3-py3-none-any.whl (295 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m295.0/295.0 kB\u001b[0m \u001b[31m36.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting gitdb<5,>=4.0.1 (from gitpython->git-python->colbert-ir[faiss-gpu,torch])\n",
            "  Downloading gitdb-4.0.11-py3-none-any.whl (62 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m62.7/62.7 kB\u001b[0m \u001b[31m10.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: python-dateutil>=2.8.1 in /usr/local/lib/python3.10/dist-packages (from pandas->datasets->colbert-ir[faiss-gpu,torch]) (2.8.2)\n",
            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas->datasets->colbert-ir[faiss-gpu,torch]) (2023.3.post1)\n",
            "Collecting smmap<6,>=3.0.1 (from gitdb<5,>=4.0.1->gitpython->git-python->colbert-ir[faiss-gpu,torch])\n",
            "  Downloading smmap-5.0.1-py3-none-any.whl (24 kB)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.1->pandas->datasets->colbert-ir[faiss-gpu,torch]) (1.16.0)\n",
            "Installing collected packages: ninja, faiss-gpu, bitarray, ujson, smmap, safetensors, python-dotenv, nvidia-cuda-runtime-cu11, nvidia-cuda-nvrtc-cu11, nvidia-cublas-cu11, dill, nvidia-cudnn-cu11, multiprocess, huggingface-hub, gitdb, torch, tokenizers, gitpython, transformers, git-python, datasets, colbert-ir\n",
            "  Attempting uninstall: torch\n",
            "    Found existing installation: torch 2.1.0+cu118\n",
            "    Uninstalling torch-2.1.0+cu118:\n",
            "      Successfully uninstalled torch-2.1.0+cu118\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "torchaudio 2.1.0+cu118 requires torch==2.1.0, but you have torch 1.13.1 which is incompatible.\n",
            "torchdata 0.7.0 requires torch==2.1.0, but you have torch 1.13.1 which is incompatible.\n",
            "torchtext 0.16.0 requires torch==2.1.0, but you have torch 1.13.1 which is incompatible.\n",
            "torchvision 0.16.0+cu118 requires torch==2.1.0, but you have torch 1.13.1 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0mSuccessfully installed bitarray-2.8.3 colbert-ir-0.2.14 datasets-2.14.6 dill-0.3.7 faiss-gpu-1.7.2 git-python-1.0.3 gitdb-4.0.11 gitpython-3.1.40 huggingface-hub-0.17.3 multiprocess-0.70.15 ninja-1.11.1.1 nvidia-cublas-cu11-11.10.3.66 nvidia-cuda-nvrtc-cu11-11.7.99 nvidia-cuda-runtime-cu11-11.7.99 nvidia-cudnn-cu11-8.5.0.96 python-dotenv-1.0.0 safetensors-0.4.0 smmap-5.0.1 tokenizers-0.14.1 torch-1.13.1 transformers-4.35.0 ujson-5.8.0\n"
          ]
        }
      ],
      "source": [
        "!pip install \"colbert-ir[faiss-gpu, torch]\""
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "N0jxbVar4kln"
      },
      "outputs": [],
      "source": [
        "import colbert"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "xQg9A-dtp1nB"
      },
      "outputs": [],
      "source": [
        "from colbert import Indexer, Searcher\n",
        "from colbert.infra import Run, RunConfig, ColBERTConfig\n",
        "from colbert.data import Queries, Collection"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "TLWjmlkVq9r0"
      },
      "source": [
        "We will use the dev set of the **LoTTE benchmark** we recently introduced in the ColBERTv2 paper. In summary, the [LoTTE dataset](https://huggingface.co/colbertv2) is designed for evaluating IR systems on long-tail topics which may not be well-covered by entity-centric knowledge bases like Wikipedia. It consists of 12 test sets with 500-2000 queries and 100k-2M passages per set. The dataset is divided into 5 topics. There is also a pooled setting in which  passages and queries are aggregated across all topics. Test sets are categorized by topic and include related validation sets. The dataset encourages realistic out-of-domain testing by keeping passages disjoint and offers a \"pooled\" setting for diverse testing. Queries are from search (GooAQ) and forum (StackExchange) sources. Evaluation focuses on retrieval solely from answer post text using the success@5 metric.\n",
        "\n",
        "We'll download one such dev set corpus from HuggingFace, namely technology:dev.\n",
        "\n",
        "For the purposes of a quick demo, we will only run the `Indexer` on the first 10,000 passages. As we do this, let's also remove the queries whose relevant passages are all outside this small set of passages."
      ]
    },
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              "Generating forum_dev split: 0 examples [00:00, ? examples/s]"
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          "text": [
            "Generating examples\n"
          ]
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          "text": [
            "Generating examples\n"
          ]
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          "data": {
            "text/plain": [
              "Generating search_dev split: 0 examples [00:00, ? examples/s]"
            ],
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        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Generating examples\n"
          ]
        },
        {
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          "data": {
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              "Generating search_test split: 0 examples [00:00, ? examples/s]"
            ],
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              "version_major": 2,
              "version_minor": 0,
              "model_id": "c02ccf5c93994ef9a49af9c2cc6cf422"
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          "metadata": {}
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        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Generating examples\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'Loaded 417 queries and 268,893 passages'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 4
        }
      ],
      "source": [
        "from datasets import load_dataset\n",
        "\n",
        "dataset = 'lifestyle'\n",
        "datasplit = 'dev'\n",
        "\n",
        "collection_dataset = load_dataset(\"colbertv2/lotte_passages\", dataset)\n",
        "collection = [x['text'] for x in collection_dataset[datasplit + '_collection']]\n",
        "\n",
        "queries_dataset = load_dataset(\"colbertv2/lotte\", dataset)\n",
        "queries = [x['query'] for x in queries_dataset['search_' + datasplit]]\n",
        "\n",
        "f'Loaded {len(queries)} queries and {len(collection):,} passages'"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "TXKC1oeUsnhk"
      },
      "source": [
        "This loaded 916 queries and 1.2 million passages. Let's inspect one query and one passage to verify we have done so correctly."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CQFUHYTZs0aa",
        "outputId": "92542efc-a15f-4231-ca13-7ebeee142520"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "are blossom end rot tomatoes edible?\n",
            "\n",
            "I think the spraying thing is not after, its during. The cold will freeze the mist, keeping the air around the trees at (but not below) freezing. See http://www.ehow.com/how_5805520_use-freeze-damage-fruit-trees.html for example which recommends a sprinkler. The releases heat thing is kind of an oversimplification, but basically as long as you have any liquid water around, it will keep things at zero. The sap of your tree is not pure water, and therefore freezes somewhat below zero. By having the water freeze instead you stay away from the temps that would damage your plants. That said, http://www.ehow.com/how-does_5245655_spraying-frost-protect-fruit-freezing_.html is total gibberish since evaporation doesnt generate heat, quite the opposite. There is a better explanation at http://www.gardenguides.com/135830-spray-water-plants-during-frost.html This is a picture from a blog entry that gives you details from the citrus farmers point of view.\n",
            "\n"
          ]
        }
      ],
      "source": [
        "print(queries[24])\n",
        "print()\n",
        "print(collection[19929])\n",
        "print()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "RKJdAAbDu7PZ"
      },
      "source": [
        "## Indexing\n",
        "\n",
        "For an efficient search, we can pre-compute the ColBERT representation of each passage and index them.\n",
        "\n",
        "Below, the `Indexer` take a model checkpoint and writes a (compressed) index to disk. We then prepare a `Searcher` for retrieval from this index."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XsImrM-rAUzi"
      },
      "source": [
        "To save space and time, we will only run the `Indexer` on the first 10,000 passages. To do so, we will filter out queries that do not contain passages with ids less than 10,000."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 36
        },
        "id": "kDkbZCvY_f7x",
        "outputId": "923e283a-feba-477f-c1fb-d87b919ccbff"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'Filtered down to 20 queries'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 6
        }
      ],
      "source": [
        "max_id = 10000\n",
        "answer_pids = [x['answers']['answer_pids'] for x in queries_dataset['search_' + datasplit]]\n",
        "filtered_queries = [q for q, apids in zip(queries, answer_pids) if any(x < max_id for x in apids)]\n",
        "\n",
        "nbits = 2   # encode each dimension with 2 bits\n",
        "doc_maxlen = 300 # truncate passages at 300 tokens\n",
        "max_id = 10000\n",
        "\n",
        "index_name = f'{dataset}.{datasplit}.{nbits}bits'\n",
        "\n",
        "f'Filtered down to {len(filtered_queries)} queries'"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "orKfQRmQv46u"
      },
      "source": [
        "We have already built `Indexer` for you on the collection subset to save additional time. Download it from the [colbert-ir HuggingFace repository](https://huggingface.co/colbert-ir/indexes/tree/main) below.\n",
        "\n",
        "However, if you wish to manually run the `Indexer` on the collection subset, you can update the `APPLY_INDEXING` flag. Assuming the use of only one GPU, this cell should take about six minutes to finish running."
      ]
    },
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            "text/plain": [
              "Fetching 11 files:   0%|          | 0/11 [00:00<?, ?it/s]"
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          "metadata": {}
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      ],
      "source": [
        "APPLY_INDEXING = True\n",
        "\n",
        "if APPLY_INDEXING:\n",
        "    from huggingface_hub import snapshot_download\n",
        "\n",
        "    !mkdir \"index\"\n",
        "    indexer = snapshot_download(repo_id=\"colbert-ir/indexes\", local_dir=\"index\")\n",
        "    index_name = indexer + \"/intro_colbert\"\n",
        "else:\n",
        "    checkpoint = 'colbert-ir/colbertv2.0'\n",
        "\n",
        "    with Run().context(RunConfig(nranks=1, experiment='notebook')):  # nranks specifies the number of GPUs to use\n",
        "        config = ColBERTConfig(doc_maxlen=doc_maxlen, nbits=nbits, kmeans_niters=4) # kmeans_niters specifies the number of iterations of k-means clustering; 4 is a good and fast default.                                                                           # Consider larger numbers for small datasets.\n",
        "\n",
        "        indexer = Indexer(checkpoint=checkpoint, config=config)\n",
        "        indexer.index(name=index_name, collection=collection[:max_id], overwrite=True)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IY6_D523yBFB"
      },
      "source": [
        "## Search\n",
        "\n",
        "Having downloaded the index and prepared our `searcher`, we can search for individual query strings.\n",
        "\n",
        "We can use the `queries` set we loaded earlier — or you can supply your own questions. Feel free to get creative! But keep in mind this set of ~300k lifestyle passages can only answer a small, focused set of questions!"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# To create the searcher using its relative name (i.e., not a full path), set\n",
        "# experiment=value_used_for_indexing in the RunConfig.\n",
        "with Run().context(RunConfig(experiment='notebook')):\n",
        "    searcher = Searcher(index=index_name, collection=collection)\n",
        "\n",
        "\n",
        "# If you want to customize the search latency--quality tradeoff, you can also supply a\n",
        "# config=ColBERTConfig(ncells=.., centroid_score_threshold=.., ndocs=..) argument.\n",
        "# The default settings with k <= 10 (1, 0.5, 256) gives the fastest search,\n",
        "# but you can gain more extensive search by setting larger values of k or\n",
        "# manually specifying more conservative ColBERTConfig settings (e.g. (4, 0.4, 4096))."
      ],
      "metadata": {
        "id": "dd8B9rx1AZxc",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "40604201-127c-4917-8993-eff93fe09152"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[Nov 12, 04:26:56] #> Loading codec...\n",
            "[Nov 12, 04:26:56] #> Loading IVF...\n",
            "[Nov 12, 04:26:56] #> Loading doclens...\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "100%|██████████| 1/1 [00:00<00:00, 774.57it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[Nov 12, 04:26:56] #> Loading codes and residuals...\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n",
            "100%|██████████| 1/1 [00:00<00:00, 59.96it/s]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3JYA0N22yIeS",
        "outputId": "d9f4e3fe-709e-4e62-bde4-621784f4f480"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "#> are some cats just skinny?\n",
            "\n",
            "#> QueryTokenizer.tensorize(batch_text[0], batch_background[0], bsize) ==\n",
            "#> Input: . are some cats just skinny?, \t\t True, \t\t None\n",
            "#> Output IDs: torch.Size([32]), tensor([  101,     1,  2024,  2070,  8870,  2074, 15629,  1029,   102,   103,\n",
            "          103,   103,   103,   103,   103,   103,   103,   103,   103,   103,\n",
            "          103,   103,   103,   103,   103,   103,   103,   103,   103,   103,\n",
            "          103,   103])\n",
            "#> Output Mask: torch.Size([32]), tensor([1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
            "        0, 0, 0, 0, 0, 0, 0, 0])\n",
            "\n",
            "\t [1] \t\t 15.6 \t\t It could be an indication of a fever, or it could be a sign of some other medical problem, such as an ear infection. It is probably a good idea to get your dog checked out by a vet.\n",
            "\t [2] \t\t 15.6 \t\t So I was at the feed store today getting a couple bales of hay, and some wood pellet litter. I picked up a 10 pound bag of whole safflower seed. When I got home I spread some out in the bottom of a baking pan and set on the floor where the bunnies would encounter it. After about 30 minutes the first bunny approached the pan. After her exploration of the pan she had to taste the contents, ate a bit and hopped off. A couple minutes later she was back again, for another serving. I picked up the pan and presented it to one of the other girls, who had not come over to explore, she tasted some, the went back for more. As John points out in his answer. there does not seem to be any issues with rabbits ingesting safflower seed. It can be a valuable food product. So other than over eating there are probably no health concerns. Based on my minimal experiment a drain through litter box using whole safflower seed is probably not a good solution with a rabbit. It is relatively expensive, and they could easily overeat assuming you kept it topped off. If a cat is using this solution you would want to keep the box away from the rabbit as cat feces could be digested, and this could be problematic. I dont see any advantages to using a safflower seed drain through litter box with a rabbit. If you want to feed the seed, do so in a controlled method. With the rabbit eating the all the litter you are unlikely to see the benefits with this type of system as you would with a cat. P.S. I tasted the seed it is like a small sunflower seed with a woody but edible shell, The meat inside is correspondingly small. Excessive intake would be a very rich diet and would be contraindicated see this related question\n",
            "\t [3] \t\t 15.5 \t\t Always assume that essential oils are not safe for cats. There are a few, however, that are. If cedarwood oil is made without phenol, then it is ok. If you cannot find it without phenol, I recommend bathing them with a 50/50 solution of dawn dish soap and warm water. Do not wet them first. Use a flea comb to remove the fleas from their head, then start applying the dawn mixture as high up on their neck as you can safely. Saturate them in the mixture and then wrap them in a towel. It will need to stay on for 15 to 20 minutes, so theyll need to be kept warm. The fleas will start to die after about 12 minutes. Put any live fleas from the comb in a dawn mixture as well. Then rinse the kitten well with warm water, towel them like a burrito for a while and perhaps use a cool blowdryer on low to finish if they dont freak out. Good luck.\n",
            "#> is cat skin tougher than human skin?\n",
            "\t [1] \t\t 16.0 \t\t Your puppy needs plenty of exercise. If you live in the city, take your puppy for walks daily or take him/her to the dog park. If you live in the country, make sure your fencing is good and let your pup have fun. Remember. Puppies are like 2 year olds. Dont take your eyes off them. A 10-30 minute walk is great for your puppy. Puppies will play all day. The more you play the more you will bond. 30 minutes of play time at the least is ideal. Outdoor exercise is a must. 30 minutes to and hour at the least would be great. Puppies have short attention spans. They easily become distracted. No more than 5 minutes a day would be excellent for your pup. At the age of 1 year, 5-10 minute training sessions are ideal. Im a mammal trainer and all training sessions should be at least 5-10 minutes long no matter what animal. Animals can get overwhelmed and/or bored if training is too long. As a general rule of thumb in the animal training world, we have a little saying that goes like this less than 5 brings trouble more than 10 makes double. Basically this means less than 5 the animal doesnt learn enough. More than 10 and the animal doesnt listen causing both of you to lose interest. So yeah, less than 5 one animal (the animal thats getting trained doesnt learn, hence the trouble). And more than 10 makes double. (When the animal loses interest you lose interest hence the double.) It makes more sense if you do it yourself and get more experienced. Its very important for training sessions to be positive. If the animal isnt listening take a break and try again later. Always end on a positive note. If the animal does what you want, reward it and end the training session. If a training session does go bad, punish the pup. Now punish can mean many things; do not physically punish the dog. Instead figure out what it really loves. If you usually go play after a training session, postpone the playing for a while as a punishment. Ignore the pup completely. Once you feel confident that the punishment worked, go do play time. I hope this helps.\n",
            "\t [2] \t\t 13.5 \t\t Always assume that essential oils are not safe for cats. There are a few, however, that are. If cedarwood oil is made without phenol, then it is ok. If you cannot find it without phenol, I recommend bathing them with a 50/50 solution of dawn dish soap and warm water. Do not wet them first. Use a flea comb to remove the fleas from their head, then start applying the dawn mixture as high up on their neck as you can safely. Saturate them in the mixture and then wrap them in a towel. It will need to stay on for 15 to 20 minutes, so theyll need to be kept warm. The fleas will start to die after about 12 minutes. Put any live fleas from the comb in a dawn mixture as well. Then rinse the kitten well with warm water, towel them like a burrito for a while and perhaps use a cool blowdryer on low to finish if they dont freak out. Good luck.\n",
            "\t [3] \t\t 12.7 \t\t First of all you will have to be sure you have good filtration, your pump and filter needs to filter all the water at least once every hour. The UV bulb needs to be changed every 6 months of use as the UV light output will degrade over time. The glass of your UV lamp needs to be cleaned when you can see it is dirty; you can use vinegar if there is limescale on the glass. UV light is one of the best ways to get crystal clear water in a pond, but you need to be sure you have the right waterflow for it to be effective. All the water in your pond needs to go through the UV sterilizer no less than once every two hours. A plant filter can be a good way to limit the amount of algae in your water, but it needs to be fairly large to be able to deprive the algae of the nutrients in your water. If you have an area in your pond where your fish cannot reach, you can plant watercress; it is one of the best plants for removal of nutrients from your water and it grows quickly. Watercress is edible and is one of the plants with the highest nutritional value. Partially shading the pond can help in getting less algae, but a pond should be visible, so this might not be an alternative for you. If you have sand on the bottom of your pond you can get freshwater mussels - they will filter out the algae, but you are dependent on keeping the water temperature below 25 °C to keep them alive. One single mussel can clean a 100l fish tank from green water in about 6 hours. More information about mentioned mussels could be found in a relevant article on Wikipedia.\n",
            "#> do neon tetras eat shrimp?\n",
            "\t [1] \t\t 9.3 \t\t If you are looking for an environmentally friendly, convenient, and efficient way to clean up after your dogs waste, there are several products for this. There are products which are built for discreet and convenient waste disposal. They are basically a small cloth bag with multiple compartments, usually one to hold fresh bags and another to hold bags with waste in them. They can clip onto a belt, a leash, etc. Here is one product and here is another. This also satisfies the environmentally friendly aspect of your question because it allows for you to pack your own bags or roll of bags. These bags can be environmentally friendly and biodegradeable. These bags do just this. A quotation from their product description: GreenNPack eco friendly products are designed to turn plastic into a material that has a completely different molecular structure that is bio-assimilated in the open environment similar to the decomposition of a leaf. If these options arent convenient for you, you may look into a portable bag dispenser for animal waste, although it may be harder for you to find biodegradable bags for this. As far as disposing of the bags, if you use biodegradable bags, you could put them in the trash and they will eventually decompose like any organics would. You could also consider using the waste for gardening purposes (compost). If you wanted to throw the waste into the woods with seeds, this may be a little bit more difficult. You could grab a large leaf (if this is possible where you live) and always have some seeds in the bag cloth bag. Using the bag as a glove, grab the large leaf, pick up the waste, use your free hand to sprinkle some seeds on it, wrap the waste in the leaf, close the bag over everything, tie it so that you can get it undone, and then when you are by the woods, empty the leaf out of the bag into the woods. This may be complicated, but it is just a suggestion.\n",
            "\t [2] \t\t 9.0 \t\t Of course, there is a huge difference. Id never condone holding an 8 kg cat in the air by the scruff of the neck : always keep his back paws on ground, and as far as the answer linked in the question is concerned, release him as soon as he has swallowed his pill. And dont use scruffing when not necessary. That being said, having tried to pill my cat without scruffing him, I feel its much more comfortable for a cat to be scruffed during a few seconds than to be gently tortured during 5 minutes or more. Thats a fact. ;) Now, no other facts, but experts advices (the bold weighting is from me) : Traditionally, scruffing (grasping the cat by the scruff of the neck) has been considered an acceptable way to maintain control of a cat because it does not harm the cat if done properly, and it is effective in many cases. However, scruffing has become a controversial issue. Some cats react negatively to scruffing and actually fight harder instead of holding still. Also, some overweight cats have very little loose tissue to scruff, so the hold will be less effective. In general, scruffing should be used only if minimal restraint techniques are not working. If scruffing seems necessary, try it for a few seconds. If the cat gets worse, discontinue and try something else. When scruffing a cat, use the minimum amount of force necessary and take care to avoid injuring the cats neck. A cat should not be lifted or suspended by the scruff because this is uncomfortable and may make the cats behavior worse. (Joanna M. Bassert & John A. Thomas, Clinical Textbook for Veterinary Technicians, 8th Edition, McCurnins 2013, ISBN 978-1437726800 — p.186.) ‘Scruffing’ is a general term for a variety of holds on the skin of the cats neck. Grasping the scruff of the neck varies from a gentle squeeze of skin, to grasping a larger fold of skin with varying amounts of pressure. Consideration of natural feline behavior can help put this technique into perspective. Cats grasp the scruff of the neck of other cats in only limited circumstances. During the first few weeks of life the mother cat may lift kittens by the scruff of the neck using her mouth. This is a method of transport and immobilization, and not a form of discipline. During mating, the tomcat grasps the scruff of the queen. Some veterinarians and veterinary behaviorists do not use scruffing and do not condone its use. They find that using other gentle handling techniques is less stressful, more time efficient, provides greater safety for personnel, and allows the cat to have a sense of control. They prefer other methods to manage situations where feline welfare or personnel safety are at stake. Other veterinarians handle cats gently and use scruffing only if it is necessary to protect the welfare of the cat or for the physical protection of personnel. Still others think that scruffing a cat is acceptable for short procedures, in an emergency, and to prevent the cat from escaping or injuring someone. If you think this technique is the only alternative, carefully evaluate the cat for any signs of fear or anxiety. The cat may become immobile but may not be comfortable, or may become aggressive. Handle the cat as gently as possible and guard against using aggressive handling techniques out of anger or frustration. The panel does not condone lifting the cat or suspending its body weight with a scruffing technique because it is unnecessary and potentially painful. (Ilona Rodan et al., AAFP and ISFM Feline-Friendly Handling Guidelines, Journal of Feline Medicine and Surgery, Volume 13, Issue 5, May 2011, Pages 364-375, http://dx.doi.org/10.1016/j.jfms.2011.03.012.) Having a sense of control, even if it is not exerted, makes the cat more comfortable and reduces stress. Importantly, using the minimal amount of handling gives the cat a greater sense of control, so the cat is less likely to be aggressive. […] Most of us have been taught to scruff cats, but scruffing often only increases a cats arousal and fear, because scruffing removes the cats sense of control. Many cats become fearfully aggressive when scruffed in an attempt to protect themselves. Some veterinarians, especially in Europe, find “clipnosis¹ helpful for restraint. This procedure is also controversial, again because it removes the cats sense of control. In the authors experience (at least 5 years without scruffing or clipnosis), cats are usually calmer and easier to handle if they are not scruffed. (Ilona Rodan, Understanding Feline Behavior and Application for Appropriate Handling and Management, Topics in Companion Animal Medicine, Volume 25, Issue 4, November 2010, Pages 178-188, ISSN 1938-9736, http://dx.doi.org/10.1053/j.tcam.2010.09.001.) ¹ IIUC, clipnosis consists in pinching the scruff of the neck with a clip in order to induce behavioral inhibition — hence the term clipnosis, deriving from clip and hypnosis. BTW, thanks for asking, I didnt thought about such behavioral implications.\n",
            "\t [3] \t\t 8.8 \t\t A 10gal tank is to small for all turtles I know. Next point is: all turtles do not like to live with other turtles. Only to make baby turtles they like to meet. Rest of the year they live alone. Turtles tank minimale have to be long as 7 times the shell length and wide as 2-3 shell lengths (so the turtle could turn around comfortly). The high of the water have to be between one and two shell length. One minimum because the turtle need to hide under water, maximum two for sleeping (reach the air on surface with nose standing on the ground without swimming). If you have little turtles for your little tank, the fish will not be happy with the turtle friendly water high. If the turtle is big enough for fish friendly water high your tank is not long and wide enough. Another point will be: turtles grow their whole life. So you have to change your tank in assumed a half year against a bigger one. Red eared sliders for example grow to a size (shell!) of a toilet seat. (How all Trachemys turtles) So in the end you need an approximated 250gal tank. And another another point: most turtles will eat your fish while they grow up. They are fast hunters especially if the fish are beautyful ones with long fins. Last point: turtles make more dirt than fish. You need approximated 3 times the power of a normal filter. (For example you need a 90gal filter for 30gal real water). So in summary I suggest to not add turtles to a fish tank. But if you really want, you could make a turtle tank and add fish to it. I have one 20cm turtle with 10 sumatra barbs in a 1000l/~260gal tank in the moment. But I had combined succsessfull the same turtle with one gold fish and some guppies. Guppies are good idea because they have much and more babies and gold fish and turtle hold a stable count.\n",
            "#> How do I move files from desktop to virtual machine?\n",
            "\t [1] \t\t 20.2 \t\t Their experience with two cats in single household is that it ends with violence, including sexual, between cats when they grow up even when they were fine as kittens. Not to discount your parents experience, but in my own, I have never observed that--and I can almost guarantee my family (being rural-based and therefore needing multiple working cats as well as having a large number of house cats) has gone through far more cats than they have. Intact males and females will mate, and to a human it may seem violent, but thats just the nature of feline mating. Desexed cats who grow up together, absent any stimuli that might drive them apart, will continue to be just fine with each other as they age. They are a little bit worried about problems with travelling (I dont want to tell them that but I hate travelling and even with one cat I planned to ask a friend to see him/her rather then introduce a cat to stress of international travel). Avoid travel with a cat unless its necessary. Cats are not dogs, and generally dont care for travel. They prefer to stick to their home territory, and take much longer to settle into a new situation than dogs. They are also worried that, as I am single at this moment, I may have a trouble finding significant other. This is the silliest excuse for not getting a pet that Ive ever seen. Anyone who would be turned off by two cats will be similarly turned off by one cat, and in my opinion, isnt worth your time. They dont buy the argument about kittens playing with each other when Im away at work as they think that a single one will just sleep through the day. Many rescues recommend taking two kittens instead of one, particularly bonded pairs of kittens, because kittens are higher energy than adult cats and do, in fact, play with each other during the day. A single kitten, on the other hand, will find whatever it can to play with, and this will potentially lead to household destruction. A bonded pair of kittens (whether siblings or otherwise) will do a great job of keeping each other occupied, and while they may still find mischief to get into (my pair learned to work together to control my thermostat!), its considerably less than what a single kitten gets into (I had to keep my singleton in a borrowed dog crate to keep her from destroying my bedroom).\n",
            "\t [2] \t\t 18.2 \t\t To answer your question, it is a little of both. The reason hot rocks are frowned upon more than UTHs and basking lights is because they fail to spread heat as much as the previous. To feel the effects of the warmth, the animal will need to sit directly on the rock. Since reptiles dont have the nervous system we do as humans, it is harder for them to tell if they are getting injured (especially on the belly) and many reptiles will get burnt from sitting on the rock all day. You may think that a thermostat can circumvent this but this is a little tough to implement. The heat mat/ tape is on the outside of the cage so if there is a malfunction with the thermometer there is at least a little buffer zone between the heat source and the reptile, where the hot rock is in the cage with no buffer zone. Also I cant really think of a way to securely attach a thermometer to/around the rock so the reptile cant disturb it sans tape and glue which can be bad for the reptile. You can have the same problems with a heat mat which is why owners should check this often, but the lack of buffer zone between a heat source and reptile is the biggest concern. One problem that can happen with mats is the snake crawls through water then goes to the mat and the water heats up (with a higher specific heat it is harder to heat but when it is heated it loses heat slower) and that can harm the reptile. Now with a mat you have some form of substrate so the snake would need to burrow for this to happen, but with a rock it can happen anytime they go straight from the water dish to the basking spot. That being said, many of the rocks are also pretty poor. A lot of hot rocks have hot spots which means they have spots that are hotter than the rest of the rock and this can mean even with a thermostat on the rock certain spots can be warmer than the rest of it. This is not as true for high end heat rocks, though. I have seen newer ones with build in thermostats and auto shut off features because of the bad rep they have, but why would you get a higher end one of these when you can just get a UTH or a bulb? In many cases the UTH or bulb are a lot easier to set up and a heat rock should only be used after careful observation for a long time and things like surge protector and a higher end rock. I have heard of people building a little cage around the heat rock and that probably would work but like i said it doesnt spread heat as much as a bulb so that seems like a lot of wasted effort to me. Also why risk the health of your snake for it when people have obviously had problems with it? All of the above is talking about an electric heat rock, but the same principles can be applied for a rock heated by a ceramic. TLDR; the rock is hard to heat evenly and the hot spots can injure your reptile and the rock being inside the cage can injure your reptile MORE than other heating sources\n",
            "\t [3] \t\t 17.8 \t\t A kitten the age of 1-6 months will probably not remember you after 4 years. They are a little like human babies before the brain is fully developed. The memories might get lost or not stored the right way. A cat at the age of two years+ will remember you, the owner, if the cat has bonded to you. Tests on the long term memory of cats show cats to have a long term memory span of 16 hours, but as a cat owner, I can definitely say cats remember for way longer than this. If an adult cat gets lost, it will remember you for several years given it has bonded with you before it got lost. There are examples where cats have been found after many years, and they have jumped straight into the owners lap. Cats memory do not function like the human memory. The cat remembers places and dangerous or safe areas. So if you take a cat to a place it has been before and it gets scared, it might run to the tree you removed last year because it was a safe spot the last time it was there. Link #1 https://en.wikipedia.org/wiki/Cat_intelligence Link #2 https://www.cuteness.com/article/cats-remember-owners-after-years\n"
          ]
        }
      ],
      "source": [
        "queries = [filtered_queries[13], filtered_queries[5], filtered_queries[3], \"How do I move files from desktop to virtual machine?\"] # try with an in-range query or supply your own\n",
        "\n",
        "for query in queries:\n",
        "  print(f\"#> {query}\")\n",
        "\n",
        "  # Find the top-3 passages for this query\n",
        "  results = searcher.search(query, k=3)\n",
        "\n",
        "  # Print out the top-k retrieved passages\n",
        "  for passage_id, passage_rank, passage_score in zip(*results):\n",
        "      print(f\"\\t [{passage_rank}] \\t\\t {passage_score:.1f} \\t\\t {searcher.collection[passage_id]}\")"
      ]
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