LSTM.ipynb

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    "colab": {
      "name": "fastai-audio.ipynb",
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      "include_colab_link": true
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    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/NicWickman/fastai_audio/blob/master/LSTM.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KCV1y5GXEA0u",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "!curl -s https://course.fast.ai/setup/colab | bash\n",
        "!git clone https://github.com/mogwai/fastai_audio.git\n",
        "%cd fastai_audio\n",
        "!bash install.sh"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JQm_CmMODRIa",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from audio import *  \n",
        "from fastai.basics import *"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Zda8aA0OKweb",
        "colab_type": "code",
        "outputId": "d792c872-060b-4a7c-d695-812b37ea2db5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        }
      },
      "source": [
        "data_url = 'http://www.openslr.org/resources/45/ST-AEDS-20180100_1-OS'\n",
        "data_folder = datapath4file(url2name(data_url))\n",
        "untar_data(data_url, dest=data_folder)"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading http://www.openslr.org/resources/45/ST-AEDS-20180100_1-OS\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
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            "text/plain": [
              "PosixPath('/root/.fastai/data/ST-AEDS-20180100_1-OS/ST-AEDS-20180100_1-OS')"
            ]
          },
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          },
          "execution_count": 4
        }
      ]
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        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 400
        }
      },
      "source": [
        "label_pattern = r'_([mf]\\d+)_'\n",
        "config = AudioConfig()\n",
        "config.segment_size = 1000\n",
        "# config.resample_to = 8000\n",
        "config.remove_silence = None\n",
        "config.f_max = 8000\n",
        "config.silence_threshold = 30\n",
        "config.max_to_pad = 1000\n",
        "config.silence_padding = 300\n",
        "audios = AudioList.from_folder(data_folder, config=config).split_by_rand_pct(.2, seed=4).label_from_re(label_pattern)\n",
        "audios"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Preprocessing: Segmenting Items\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
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            "Preprocessing: Segmenting Items\n"
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              "LabelLists;\n",
              "\n",
              "Train: AudioLabelList (15211 items)\n",
              "x: AudioList\n",
              "AudioItem 1.0 seconds (1 channels, 16000 samples @ 16000hz),AudioItem 1.0 seconds (1 channels, 16000 samples @ 16000hz),AudioItem 1.0 seconds (1 channels, 16000 samples @ 16000hz),AudioItem 1.0 seconds (1 channels, 16000 samples @ 16000hz),AudioItem 1.0 seconds (1 channels, 16000 samples @ 16000hz)\n",
              "y: CategoryList\n",
              "f0004,f0004,f0004,f0004,f0002\n",
              "Path: /root/.fastai/data/ST-AEDS-20180100_1-OS;\n",
              "\n",
              "Valid: AudioLabelList (3869 items)\n",
              "x: AudioList\n",
              "AudioItem 1.0 seconds (1 channels, 16000 samples @ 16000hz),AudioItem 1.0 seconds (1 channels, 16000 samples @ 16000hz),AudioItem 1.0 seconds (1 channels, 16000 samples @ 16000hz),AudioItem 1.0 seconds (1 channels, 16000 samples @ 16000hz),AudioItem 1.0 seconds (1 channels, 16000 samples @ 16000hz)\n",
              "y: CategoryList\n",
              "m0003,m0003,m0003,m0003,m0003\n",
              "Path: /root/.fastai/data/ST-AEDS-20180100_1-OS;\n",
              "\n",
              "Test: None"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ]
    },
    {
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        "outputId": "6ec53a82-d0ec-4594-ab69-61323b08f160",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 881
        }
      },
      "source": [
        "db = audios.databunch(bs=128)\n",
        "db.show_batch()\n",
        "learn = audio_learner(db)"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "------------------------------------------------------------\n",
            "File: /root/.fastai/cache/s_1000/f0004_us_f0004_00155.wav-58e3c73e8d06190c24b14aadcda153e3/0.wav\n",
            "Total Length: 1.0 seconds\n",
            "Number of Channels: 1\n",
            "Label: f0004\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
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\" type=\"audio/wav\" />\n",
              "                    Your browser does not support the audio element.\n",
              "                </audio>\n",
              "              "
            ],
            "text/plain": [
              "<IPython.lib.display.Audio object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Channel 0.0 (128x63):\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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            "image/jpeg": "/9j/4AAQSkZJRgABAQEAZABkAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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\nf//Z\n",
            "text/plain": [
              "Image (1, 128, 63)"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "------------------------------------------------------------\n",
            "File: /root/.fastai/cache/s_1000/f0004_us_f0004_00155.wav-58e3c73e8d06190c24b14aadcda153e3/1.wav\n",
            "Total Length: 1.0 seconds\n",
            "Number of Channels: 1\n",
            "Label: f0004\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "\n",
              "                <audio controls=\"controls\" >\n",
              "                    <source 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\" type=\"audio/wav\" />\n",
              "                    Your browser does not support the audio element.\n",
              "                </audio>\n",
              "              "
            ],
            "text/plain": [
              "<IPython.lib.display.Audio object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Channel 0.0 (128x63):\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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            "text/plain": [
              "Image (1, 128, 63)"
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          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "------------------------------------------------------------\n",
            "File: /root/.fastai/cache/s_1000/f0004_us_f0004_00155.wav-58e3c73e8d06190c24b14aadcda153e3/2.wav\n",
            "Total Length: 1.0 seconds\n",
            "Number of Channels: 1\n",
            "Label: f0004\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "\n",
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\" type=\"audio/wav\" />\n",
              "                    Your browser does not support the audio element.\n",
              "                </audio>\n",
              "              "
            ],
            "text/plain": [
              "<IPython.lib.display.Audio object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Channel 0.0 (128x63):\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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            "text/plain": [
              "Image (1, 128, 63)"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jWlyhiTv6tCy",
        "colab_type": "code",
        "outputId": "c701fa9d-0313-4e08-927d-3f26e826cb0a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 375
        }
      },
      "source": [
        "learn.lr_find()\n",
        "learn.recorder.plot()"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "\n",
              "    <div>\n",
              "        <style>\n",
              "            /* Turns off some styling */\n",
              "            progress {\n",
              "                /* gets rid of default border in Firefox and Opera. */\n",
              "                border: none;\n",
              "                /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
              "                background-size: auto;\n",
              "            }\n",
              "            .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
              "                background: #F44336;\n",
              "            }\n",
              "        </style>\n",
              "      <progress value='0' class='' max='1', style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
              "      0.00% [0/1 00:00<00:00]\n",
              "    </div>\n",
              "    \n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: left;\">\n",
              "      <th>epoch</th>\n",
              "      <th>train_loss</th>\n",
              "      <th>valid_loss</th>\n",
              "      <th>accuracy</th>\n",
              "      <th>time</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "  </tbody>\n",
              "</table><p>\n",
              "\n",
              "    <div>\n",
              "        <style>\n",
              "            /* Turns off some styling */\n",
              "            progress {\n",
              "                /* gets rid of default border in Firefox and Opera. */\n",
              "                border: none;\n",
              "                /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
              "                background-size: auto;\n",
              "            }\n",
              "            .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
              "                background: #F44336;\n",
              "            }\n",
              "        </style>\n",
              "      <progress value='89' class='' max='118', style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
              "      75.42% [89/118 00:49<00:16 8.4511]\n",
              "    </div>\n",
              "    "
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "LR Finder is complete, type {learner_name}.recorder.plot() to see the graph.\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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EemgSUUr5i6vH9+bkIZ15+Mt1/PCbVsm2UnZhBVGhQSRGhdodisdoElEqwIkI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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ARv-yYsO6xmF",
        "colab_type": "code",
        "outputId": "a39933a2-c8f4-4ec8-e615-a6443911f4a9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 111
        }
      },
      "source": [
        "learn.fit_one_cycle(2, slice(1e-4, 4e-3))"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: left;\">\n",
              "      <th>epoch</th>\n",
              "      <th>train_loss</th>\n",
              "      <th>valid_loss</th>\n",
              "      <th>accuracy</th>\n",
              "      <th>time</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <td>0</td>\n",
              "      <td>1.455664</td>\n",
              "      <td>0.819535</td>\n",
              "      <td>0.717498</td>\n",
              "      <td>00:38</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1</td>\n",
              "      <td>0.659329</td>\n",
              "      <td>0.490467</td>\n",
              "      <td>0.827346</td>\n",
              "      <td>00:12</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6ZLqcEjl6zgC",
        "colab_type": "code",
        "outputId": "4fd7e2b2-aead-42db-eeda-b69e4dd6cc5f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 396
        }
      },
      "source": [
        "interp = ClassificationInterpretation.from_learner(learn)\n",
        "interp.plot_confusion_matrix()\n",
        "interp.most_confused()[:5]"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              ""
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[('f0003', 'f0002', 37),\n",
              " ('f0005', 'f0004', 26),\n",
              " ('m0005', 'f0004', 25),\n",
              " ('f0005', 'f0003', 24),\n",
              " ('m0004', 'm0003', 24)]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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7s+/RG2+9w9Yde4jctosWL7Tmy8/HWBz3WZJpI4Qog+ZuOWttYnoLpR/m6JHD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\njgcWx3GS44HFcZzk/B9ACrJLC9dqeAAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hEa-ATo56zym",
        "colab_type": "code",
        "outputId": "6a402d3f-425b-456c-f590-45b4b8e1fc21",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 306
        }
      },
      "source": [
        "preds = audio_predict(learn, AudioItem(path=data_folder.ls()[500])); preds"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "error",
          "ename": "TypeError",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-14-d4212ed6ff7d>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mpreds\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0maudio_predict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlearn\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mAudioItem\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdata_folder\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mls\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m500\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m;\u001b[0m \u001b[0mpreds\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;32m/content/fastai_audio/audio/learner.py\u001b[0m in \u001b[0;36maudio_predict\u001b[0;34m(learn, item)\u001b[0m\n\u001b[1;32m     60\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0maudio_predict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlearn\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mitem\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mAudioItem\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     61\u001b[0m     \u001b[0;34m'''Applies preprocessing to an AudioItem before predicting its class'''\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 62\u001b[0;31m     \u001b[0mal\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mAudioList\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpath\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mconfig\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlearn\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconfig\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     63\u001b[0m     \u001b[0mai\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mAudioList\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mal\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mitem\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     64\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mlearn\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpredict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mai\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/content/fastai_audio/audio/data.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, items, path, config, **kwargs)\u001b[0m\n\u001b[1;32m    302\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    303\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mitems\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpath\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mconfig\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mAudioConfig\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 304\u001b[0;31m         \u001b[0mitems\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mAudioList\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_filter_empty\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    305\u001b[0m         \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpath\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    306\u001b[0m         \u001b[0mcd\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mconfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcache_dir\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/content/fastai_audio/audio/data.py\u001b[0m in \u001b[0;36m_filter_empty\u001b[0;34m(items)\u001b[0m\n\u001b[1;32m    295\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    296\u001b[0m         \u001b[0mold_count\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 297\u001b[0;31m         \u001b[0mitems\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_filter\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mitems\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    298\u001b[0m         \u001b[0mnew_count\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    299\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mold_count\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0mnew_count\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/content/fastai_audio/audio/data.py\u001b[0m in \u001b[0;36m_filter\u001b[0;34m(fn)\u001b[0m\n\u001b[1;32m    292\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_filter_empty\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    293\u001b[0m         \u001b[0;32mdef\u001b[0m \u001b[0m_filter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfn\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mPath\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mbool\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 294\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexists\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfn\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgetsize\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfn\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    295\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    296\u001b[0m         \u001b[0mold_count\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/lib/python3.6/genericpath.py\u001b[0m in \u001b[0;36mexists\u001b[0;34m(path)\u001b[0m\n\u001b[1;32m     17\u001b[0m     \u001b[0;34m\"\"\"Test whether a path exists.  Returns False for broken symbolic links\"\"\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     18\u001b[0m     \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 19\u001b[0;31m         \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     20\u001b[0m     \u001b[0;32mexcept\u001b[0m \u001b[0mOSError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     21\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mTypeError\u001b[0m: stat: path should be string, bytes, os.PathLike or integer, not AudioItem"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1qdSKkpT-nIb",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    }
  ]
}