oxDNA_Output_Analysis.ipynb

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              "       time  duplex  start1  end1  start2  end2     axisX     axisY     axisZ  \\\n",
              "0         0       0      23    26      31    34 -0.572974  0.394372 -0.707047   \n",
              "1         0       1      43    46      60    63  0.866957  0.177157 -0.455561   \n",
              "2         0       2     111   115     118   122 -0.930385 -0.104054 -0.296745   \n",
              "3         0       3     296   301     309   314 -0.261620 -0.580369 -0.760159   \n",
              "4         0       4     375   379     384   388 -0.081925 -0.653152  0.751139   \n",
              "...     ...     ...     ...   ...     ...   ...       ...       ...       ...   \n",
              "33110   665      45    2481  2488    2492  2499 -0.210594 -0.810269  0.437035   \n",
              "33111   665      46    2598  2601    2646  2649 -0.303233  0.308613 -0.898485   \n",
              "33112   665      47    2608  2611    2637  2640 -0.314920  0.567479 -0.748942   \n",
              "33113   665      48    2619  2622    2626  2629 -0.661322  0.681597 -0.277123   \n",
              "33114   665      49    2655  2659    2667  2671 -0.401029 -0.763600 -0.108233   \n",
              "\n",
              "                                                 hel_pos  \n",
              "0      [12.143438405252617,-44.37770434739593,258.583...  \n",
              "1      [13.40194941266793,-47.029413414099224,261.073...  \n",
              "2      [2.108881366456006,-52.03963238655764,253.1846...  \n",
              "3      [5.5143480262568545,-58.007175214086665,263.89...  \n",
              "4      [6.922481209533297,-59.23076301256788,275.5337...  \n",
              "...                                                  ...  \n",
              "33110  [9.853501511816578,-46.44178651299191,275.8665...  \n",
              "33111  [16.5442704594727,-44.26124848588185,266.75612...  \n",
              "33112  [16.123270063167812,-42.833167445550785,263.35...  \n",
              "33113  [14.409839916649378,-40.125502792565506,260.49...  \n",
              "33114  [18.985470679491442,-46.590581850593495,267.46...  \n",
              "\n",
              "[33115 rows x 10 columns]"
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      ],
      "source": [
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "data = pd.read_csv(\"/content/newduplex.tsv\", sep='\\t')\n",
        "display(data)"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data['Starting_Strand_Length'] = data['end1'] - data['start1']"
      ],
      "metadata": {
        "id": "Dbwvu6nQQotU"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(data['Starting_Strand_Length'].describe()['std'])\n",
        "print(data.groupby('Starting_Strand_Length').size())\n",
        "\n",
        "plotdata = data.groupby([data['Starting_Strand_Length']]).size()\n",
        "plotdata.plot(kind='bar', cmap='autumn', figsize=(7,7),legend=None)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 596
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        "id": "6q68LWhjOQJv",
        "outputId": "f0dfb8f3-376f-4150-b78c-61041b417853"
      },
      "execution_count": null,
      "outputs": [
        {
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          "name": "stdout",
          "text": [
            "0.9176188438623876\n",
            "Starting_Strand_Length\n",
            "3    22136\n",
            "4     7796\n",
            "5     1853\n",
            "6       10\n",
            "7     1320\n",
            "dtype: int64\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f03c1bf6950>"
            ]
          },
          "metadata": {},
          "execution_count": 7
        },
        {
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          "data": {
            "text/plain": [
              "<Figure size 504x504 with 1 Axes>"
            ],
            "image/png": 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    {
      "cell_type": "code",
      "source": [
        "data.groupby('Starting_Strand_Length').agg(duplex = ('duplex', 'std'))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 237
        },
        "id": "BjNreZOIM3Dg",
        "outputId": "8bc7e450-c3bb-44ca-993d-f37fc15bcc52"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                           duplex\n",
              "Starting_Strand_Length           \n",
              "3                       14.278487\n",
              "4                       14.629949\n",
              "5                       15.593580\n",
              "6                       15.408872\n",
              "7                       15.013133"
            ],
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              "          const element = document.querySelector('#df-516205b1-f651-46fb-ac3f-e09231b1e1d1');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data.groupby(['duplex', 'Starting_Strand_Length']).size().plot()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 297
        },
        "id": "D7MMWqonpx71",
        "outputId": "9f112b80-6d81-4f81-adad-36e9bebc2675"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f03c1beb550>"
            ]
          },
          "metadata": {},
          "execution_count": 10
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data.groupby(['duplex', 'Starting_Strand_Length']).size().reset_index().to_csv('dataread.csv')\n",
        "data.groupby(['duplex'])['Starting_Strand_Length'].value_counts().to_csv('dataread2.csv')\n",
        "data.value_counts([\"duplex\", \"Starting_Strand_Length\"]).sort_values(ascending=False)"
      ],
      "metadata": {
        "id": "8NV83_Puuokc",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "7d333635-25f6-4e4f-daa1-8814cb18aeef"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "duplex  Starting_Strand_Length\n",
              "0       3                         666\n",
              "10      3                         666\n",
              "11      3                         664\n",
              "12      3                         655\n",
              "1       3                         650\n",
              "                                 ... \n",
              "16      4                           1\n",
              "15      6                           1\n",
              "41      6                           1\n",
              "15      4                           1\n",
              "1       5                           1\n",
              "Length: 170, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#def Check(data):\n",
        "   #if data['Starting_Strand_Length']== data['Complimentary_Strand_Length']:\n",
        "    #  return \"True\"\n",
        "  # else:\n",
        "     # return \"False\" \n",
        "\n",
        "#data['Paired_Unpaired'] = data.apply(Check, axis=1)\n",
        "#data"
      ],
      "metadata": {
        "id": "Ar0vmPTz4hhq"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data['Hairpin_Lengths'] = data['start2'] - data['end1']\n",
        "print(data['Hairpin_Lengths'].describe()['std'])\n",
        "plotdata = data.groupby([data['Hairpin_Lengths']]).size()\n",
        "plotdata.plot(kind='bar', cmap='viridis', figsize=(7,7),legend=None)\n",
        "data"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 944
        },
        "id": "HMMZV6mgNCLd",
        "outputId": "8337c6b2-ce06-4a7f-93ce-6f87c78ebe8c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "19.67856948481432\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       time  duplex  start1  end1  start2  end2     axisX     axisY     axisZ  \\\n",
              "0         0       0      23    26      31    34 -0.572974  0.394372 -0.707047   \n",
              "1         0       1      43    46      60    63  0.866957  0.177157 -0.455561   \n",
              "2         0       2     111   115     118   122 -0.930385 -0.104054 -0.296745   \n",
              "3         0       3     296   301     309   314 -0.261620 -0.580369 -0.760159   \n",
              "4         0       4     375   379     384   388 -0.081925 -0.653152  0.751139   \n",
              "...     ...     ...     ...   ...     ...   ...       ...       ...       ...   \n",
              "33110   665      45    2481  2488    2492  2499 -0.210594 -0.810269  0.437035   \n",
              "33111   665      46    2598  2601    2646  2649 -0.303233  0.308613 -0.898485   \n",
              "33112   665      47    2608  2611    2637  2640 -0.314920  0.567479 -0.748942   \n",
              "33113   665      48    2619  2622    2626  2629 -0.661322  0.681597 -0.277123   \n",
              "33114   665      49    2655  2659    2667  2671 -0.401029 -0.763600 -0.108233   \n",
              "\n",
              "                                                 hel_pos  \\\n",
              "0      [12.143438405252617,-44.37770434739593,258.583...   \n",
              "1      [13.40194941266793,-47.029413414099224,261.073...   \n",
              "2      [2.108881366456006,-52.03963238655764,253.1846...   \n",
              "3      [5.5143480262568545,-58.007175214086665,263.89...   \n",
              "4      [6.922481209533297,-59.23076301256788,275.5337...   \n",
              "...                                                  ...   \n",
              "33110  [9.853501511816578,-46.44178651299191,275.8665...   \n",
              "33111  [16.5442704594727,-44.26124848588185,266.75612...   \n",
              "33112  [16.123270063167812,-42.833167445550785,263.35...   \n",
              "33113  [14.409839916649378,-40.125502792565506,260.49...   \n",
              "33114  [18.985470679491442,-46.590581850593495,267.46...   \n",
              "\n",
              "       Starting_Strand_Length  Complimentary_Strand_Length  Hairpin_Lengths  \n",
              "0                           3                            3                5  \n",
              "1                           3                            3               14  \n",
              "2                           4                            4                3  \n",
              "3                           5                            5                8  \n",
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          "data": {
            "text/plain": [
              "<Figure size 504x504 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#optimal_hp = data[data['Hairpin_Lengths'].between(3, 8)]\n",
        "#hp = data[data.columns[0:13]]\n",
        "\n",
        "hp = data[data['time'] ==0]\n",
        "hp"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "ZYE1m5Q5SoJK",
        "outputId": "e7d86178-4ed2-4500-f49c-06ce2bcd9b69"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    time  duplex  start1  end1  start2  end2     axisX     axisY     axisZ  \\\n",
              "0      0       0      23    26      31    34 -0.572974  0.394372 -0.707047   \n",
              "1      0       1      43    46      60    63  0.866957  0.177157 -0.455561   \n",
              "2      0       2     111   115     118   122 -0.930385 -0.104054 -0.296745   \n",
              "3      0       3     296   301     309   314 -0.261620 -0.580369 -0.760159   \n",
              "4      0       4     375   379     384   388 -0.081925 -0.653152  0.751139   \n",
              "5      0       5     412   415     421   424 -0.150514  0.913572  0.287067   \n",
              "6      0       6     480   484     487   491 -0.129597  0.871182 -0.389257   \n",
              "7      0       7     525   528     533   536 -0.891895 -0.186690  0.359786   \n",
              "8      0       8     613   616     649   652  0.850793  0.189614  0.438353   \n",
              "9      0       9     702   705     721   724  0.902944  0.200858 -0.284880   \n",
              "10     0      10     730   733     743   746  0.902569 -0.201055  0.332666   \n",
              "11     0      11     843   850     856   863  0.378308  0.904468  0.002776   \n",
              "12     0      12     906   909     928   931 -0.375052  0.888704  0.249806   \n",
              "13     0      13    1041  1044    1057  1060 -0.850826  0.478966  0.093071   \n",
              "14     0      14    1225  1228    1243  1246  0.422072 -0.045085 -0.896751   \n",
              "15     0      15    1322  1326    1331  1335 -0.910302 -0.250681 -0.262730   \n",
              "16     0      16    1412  1415    1425  1428  0.499457  0.396983  0.768103   \n",
              "17     0      17    1448  1451    1475  1478  0.586623 -0.561766 -0.535565   \n",
              "18     0      18    1458  1461    1468  1471  0.369355 -0.842432 -0.376700   \n",
              "19     0      19    1623  1626    1665  1668 -0.223552 -0.113938 -0.955111   \n",
              "20     0      20    1631  1634    1657  1660 -0.635903  0.022785 -0.752670   \n",
              "21     0      21    1674  1677    1722  1725 -0.310888 -0.929318  0.129439   \n",
              "22     0      22    1680  1685    1713  1718 -0.413179 -0.887943  0.039460   \n",
              "23     0      23    1700  1703    1706  1709 -0.428799 -0.828855  0.309399   \n",
              "24     0      24    1739  1742    1754  1757 -0.403364 -0.875874  0.066787   \n",
              "25     0      25    1880  1884    1889  1893 -0.644377  0.566932 -0.494618   \n",
              "26     0      26    1926  1930    1951  1955  0.979554  0.152266 -0.087029   \n",
              "27     0      27    2084  2087    2120  2123 -0.220340 -0.743510 -0.553165   \n",
              "28     0      28    2098  2101    2110  2113  0.757464  0.615121 -0.083239   \n",
              "29     0      29    2196  2199    2210  2213 -0.502439  0.482562 -0.702493   \n",
              "30     0      30    2322  2327    2381  2386 -0.344535 -0.100444 -0.911845   \n",
              "31     0      31    2331  2335    2369  2373  0.828330  0.442301 -0.312765   \n",
              "32     0      32    2354  2357    2364  2367  0.657668  0.741759 -0.125243   \n",
              "33     0      33    2481  2488    2492  2499 -0.651816  0.076225  0.722407   \n",
              "34     0      34    2598  2601    2646  2649  0.419246 -0.456525 -0.778857   \n",
              "35     0      35    2608  2611    2637  2640  0.366432  0.234086 -0.892484   \n",
              "36     0      36    2619  2622    2626  2629  0.119541  0.180023 -0.966436   \n",
              "37     0      37    2656  2659    2667  2670 -0.761299  0.028966  0.631195   \n",
              "\n",
              "                                              hel_pos  Starting_Strand_Length  \\\n",
              "0   [12.143438405252617,-44.37770434739593,258.583...                       3   \n",
              "1   [13.40194941266793,-47.029413414099224,261.073...                       3   \n",
              "2   [2.108881366456006,-52.03963238655764,253.1846...                       4   \n",
              "3   [5.5143480262568545,-58.007175214086665,263.89...                       5   \n",
              "4   [6.922481209533297,-59.23076301256788,275.5337...                       4   \n",
              "5   [2.632930794206667,-54.05563013190684,270.7037...                       3   \n",
              "6   [-6.986184080047586,-37.479941494009964,259.08...                       4   \n",
              "7   [-4.18721325717204,-34.1604620216746,263.68624...                       3   \n",
              "8   [-1.9658161212727596,-40.877334671598405,268.1...                       3   \n",
              "9   [3.8042604548484564,-33.3856394090803,274.4909...                       3   \n",
              "10  [2.9796829367669044,-34.96449676701528,277.150...                       3   \n",
              "11  [-1.037694293506142,-21.018981888084284,286.29...                       7   \n",
              "12  [-12.480656734721883,-23.93730815592494,285.42...                       3   \n",
              "13  [-22.460426243174123,-33.87308900242671,297.63...                       3   \n",
              "14  [-12.648382757133703,-11.395707477522308,305.2...                       3   \n",
              "15  [-21.780614934342758,-23.005928082359503,312.8...                       4   \n",
              "16  [-8.19042912409055,-22.360392293924477,321.492...                       3   \n",
              "17  [-7.6151397958459075,-24.268463306817026,314.6...                       3   \n",
              "18  [-6.196859733457405,-26.6234736781063,314.1094...                       3   \n",
              "19  [1.4375032430664114,-25.336625110861895,309.96...                       3   \n",
              "20  [0.07715271729744659,-25.198422937564423,307.3...                       3   \n",
              "21  [3.7308667267026223,-27.43000017293435,310.708...                       3   \n",
              "22  [2.990921170924728,-29.770430541078778,310.438...                       5   \n",
              "23  [1.7119735630751405,-33.122129570753444,310.93...                       3   \n",
              "24  [8.418171145792835,-27.819452634299388,313.046...                       3   \n",
              "25  [14.451691799180246,-30.250699057672282,302.94...                       4   \n",
              "26  [10.267708140060082,-35.95050023704582,298.634...                       4   \n",
              "27  [9.64324630516419,-41.68842089357159,279.97454...                       3   \n",
              "28  [10.547230177672677,-41.37789831810831,275.892...                       3   \n",
              "29  [3.388387987078487,-26.596025496516507,265.633...                       3   \n",
              "30  [3.815886757978564,-37.6069406970645,255.50872...                       5   \n",
              "31  [4.5632443914257586,-36.880848309060056,251.65...                       4   \n",
              "32  [6.385499874099205,-35.67720694457098,250.7199...                       3   \n",
              "33  [11.52023136393494,-32.31680602684381,252.2048...                       7   \n",
              "34  [16.18958964408054,-40.3313797011488,258.65176...                       3   \n",
              "35  [17.167027812201233,-41.47227678953199,255.258...                       3   \n",
              "36  [18.21712223431703,-41.22499000763355,250.9517...                       3   \n",
              "37  [14.357279544348916,-40.47592760480852,260.255...                       3   \n",
              "\n",
              "    Complimentary_Strand_Length  Hairpin_Lengths  \n",
              "0                             3                5  \n",
              "1                             3               14  \n",
              "2                             4                3  \n",
              "3                             5                8  \n",
              "4                             4                5  \n",
              "5                             3                6  \n",
              "6                             4                3  \n",
              "7                             3                5  \n",
              "8                             3               33  \n",
              "9                             3               16  \n",
              "10                            3               10  \n",
              "11                            7                6  \n",
              "12                            3               19  \n",
              "13                            3               13  \n",
              "14                            3               15  \n",
              "15                            4                5  \n",
              "16                            3               10  \n",
              "17                            3               24  \n",
              "18                            3                7  \n",
              "19                            3               39  \n",
              "20                            3               23  \n",
              "21                            3               45  \n",
              "22                            5               28  \n",
              "23                            3                3  \n",
              "24                            3               12  \n",
              "25                            4                5  \n",
              "26                            4               21  \n",
              "27                            3               33  \n",
              "28                            3                9  \n",
              "29                            3               11  \n",
              "30                            5               54  \n",
              "31                            4               34  \n",
              "32                            3                7  \n",
              "33                            7                4  \n",
              "34                            3               45  \n",
              "35                            3               26  \n",
              "36                            3                4  \n",
              "37                            3                8  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-b0f91991-2db2-4196-8a0d-fe7ce7b4b04c\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>time</th>\n",
              "      <th>duplex</th>\n",
              "      <th>start1</th>\n",
              "      <th>end1</th>\n",
              "      <th>start2</th>\n",
              "      <th>end2</th>\n",
              "      <th>axisX</th>\n",
              "      <th>axisY</th>\n",
              "      <th>axisZ</th>\n",
              "      <th>hel_pos</th>\n",
              "      <th>Starting_Strand_Length</th>\n",
              "      <th>Complimentary_Strand_Length</th>\n",
              "      <th>Hairpin_Lengths</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>23</td>\n",
              "      <td>26</td>\n",
              "      <td>31</td>\n",
              "      <td>34</td>\n",
              "      <td>-0.572974</td>\n",
              "      <td>0.394372</td>\n",
              "      <td>-0.707047</td>\n",
              "      <td>[12.143438405252617,-44.37770434739593,258.583...</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>43</td>\n",
              "      <td>46</td>\n",
              "      <td>60</td>\n",
              "      <td>63</td>\n",
              "      <td>0.866957</td>\n",
              "      <td>0.177157</td>\n",
              "      <td>-0.455561</td>\n",
              "      <td>[13.40194941266793,-47.029413414099224,261.073...</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>111</td>\n",
              "      <td>115</td>\n",
              "      <td>118</td>\n",
              "      <td>122</td>\n",
              "      <td>-0.930385</td>\n",
              "      <td>-0.104054</td>\n",
              "      <td>-0.296745</td>\n",
              "      <td>[2.108881366456006,-52.03963238655764,253.1846...</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>296</td>\n",
              "      <td>301</td>\n",
              "      <td>309</td>\n",
              "      <td>314</td>\n",
              "      <td>-0.261620</td>\n",
              "      <td>-0.580369</td>\n",
              "      <td>-0.760159</td>\n",
              "      <td>[5.5143480262568545,-58.007175214086665,263.89...</td>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>375</td>\n",
              "      <td>379</td>\n",
              "      <td>384</td>\n",
              "      <td>388</td>\n",
              "      <td>-0.081925</td>\n",
              "      <td>-0.653152</td>\n",
              "      <td>0.751139</td>\n",
              "      <td>[6.922481209533297,-59.23076301256788,275.5337...</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>0</td>\n",
              "      <td>5</td>\n",
              "      <td>412</td>\n",
              "      <td>415</td>\n",
              "      <td>421</td>\n",
              "      <td>424</td>\n",
              "      <td>-0.150514</td>\n",
              "      <td>0.913572</td>\n",
              "      <td>0.287067</td>\n",
              "      <td>[2.632930794206667,-54.05563013190684,270.7037...</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "      <td>480</td>\n",
              "      <td>484</td>\n",
              "      <td>487</td>\n",
              "      <td>491</td>\n",
              "      <td>-0.129597</td>\n",
              "      <td>0.871182</td>\n",
              "      <td>-0.389257</td>\n",
              "      <td>[-6.986184080047586,-37.479941494009964,259.08...</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>0</td>\n",
              "      <td>7</td>\n",
              "      <td>525</td>\n",
              "      <td>528</td>\n",
              "      <td>533</td>\n",
              "      <td>536</td>\n",
              "      <td>-0.891895</td>\n",
              "      <td>-0.186690</td>\n",
              "      <td>0.359786</td>\n",
              "      <td>[-4.18721325717204,-34.1604620216746,263.68624...</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>0</td>\n",
              "      <td>8</td>\n",
              "      <td>613</td>\n",
              "      <td>616</td>\n",
              "      <td>649</td>\n",
              "      <td>652</td>\n",
              "      <td>0.850793</td>\n",
              "      <td>0.189614</td>\n",
              "      <td>0.438353</td>\n",
              "      <td>[-1.9658161212727596,-40.877334671598405,268.1...</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>33</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>0</td>\n",
              "      <td>9</td>\n",
              "      <td>702</td>\n",
              "      <td>705</td>\n",
              "      <td>721</td>\n",
              "      <td>724</td>\n",
              "      <td>0.902944</td>\n",
              "      <td>0.200858</td>\n",
              "      <td>-0.284880</td>\n",
              "      <td>[3.8042604548484564,-33.3856394090803,274.4909...</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>16</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>0</td>\n",
              "      <td>10</td>\n",
              "      <td>730</td>\n",
              "      <td>733</td>\n",
              "      <td>743</td>\n",
              "      <td>746</td>\n",
              "      <td>0.902569</td>\n",
              "      <td>-0.201055</td>\n",
              "      <td>0.332666</td>\n",
              "      <td>[2.9796829367669044,-34.96449676701528,277.150...</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>0</td>\n",
              "      <td>11</td>\n",
              "      <td>843</td>\n",
              "      <td>850</td>\n",
              "      <td>856</td>\n",
              "      <td>863</td>\n",
              "      <td>0.378308</td>\n",
              "      <td>0.904468</td>\n",
              "      <td>0.002776</td>\n",
              "      <td>[-1.037694293506142,-21.018981888084284,286.29...</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>0</td>\n",
              "      <td>12</td>\n",
              "      <td>906</td>\n",
              "      <td>909</td>\n",
              "      <td>928</td>\n",
              "      <td>931</td>\n",
              "      <td>-0.375052</td>\n",
              "      <td>0.888704</td>\n",
              "      <td>0.249806</td>\n",
              "      <td>[-12.480656734721883,-23.93730815592494,285.42...</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>0</td>\n",
              "      <td>13</td>\n",
              "      <td>1041</td>\n",
              "      <td>1044</td>\n",
              "      <td>1057</td>\n",
              "      <td>1060</td>\n",
              "      <td>-0.850826</td>\n",
              "      <td>0.478966</td>\n",
              "      <td>0.093071</td>\n",
              "      <td>[-22.460426243174123,-33.87308900242671,297.63...</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>0</td>\n",
              "      <td>14</td>\n",
              "      <td>1225</td>\n",
              "      <td>1228</td>\n",
              "      <td>1243</td>\n",
              "      <td>1246</td>\n",
              "      <td>0.422072</td>\n",
              "      <td>-0.045085</td>\n",
              "      <td>-0.896751</td>\n",
              "      <td>[-12.648382757133703,-11.395707477522308,305.2...</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>15</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>0</td>\n",
              "      <td>15</td>\n",
              "      <td>1322</td>\n",
              "      <td>1326</td>\n",
              "      <td>1331</td>\n",
              "      <td>1335</td>\n",
              "      <td>-0.910302</td>\n",
              "      <td>-0.250681</td>\n",
              "      <td>-0.262730</td>\n",
              "      <td>[-21.780614934342758,-23.005928082359503,312.8...</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>0</td>\n",
              "      <td>16</td>\n",
              "      <td>1412</td>\n",
              "      <td>1415</td>\n",
              "      <td>1425</td>\n",
              "      <td>1428</td>\n",
              "      <td>0.499457</td>\n",
              "      <td>0.396983</td>\n",
              "      <td>0.768103</td>\n",
              "      <td>[-8.19042912409055,-22.360392293924477,321.492...</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>0</td>\n",
              "      <td>17</td>\n",
              "      <td>1448</td>\n",
              "      <td>1451</td>\n",
              "      <td>1475</td>\n",
              "      <td>1478</td>\n",
              "      <td>0.586623</td>\n",
              "      <td>-0.561766</td>\n",
              "      <td>-0.535565</td>\n",
              "      <td>[-7.6151397958459075,-24.268463306817026,314.6...</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>24</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>0</td>\n",
              "      <td>18</td>\n",
              "      <td>1458</td>\n",
              "      <td>1461</td>\n",
              "      <td>1468</td>\n",
              "      <td>1471</td>\n",
              "      <td>0.369355</td>\n",
              "      <td>-0.842432</td>\n",
              "      <td>-0.376700</td>\n",
              "      <td>[-6.196859733457405,-26.6234736781063,314.1094...</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>0</td>\n",
              "      <td>19</td>\n",
              "      <td>1623</td>\n",
              "      <td>1626</td>\n",
              "      <td>1665</td>\n",
              "      <td>1668</td>\n",
              "      <td>-0.223552</td>\n",
              "      <td>-0.113938</td>\n",
              "      <td>-0.955111</td>\n",
              "      <td>[1.4375032430664114,-25.336625110861895,309.96...</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>39</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>0</td>\n",
              "      <td>20</td>\n",
              "      <td>1631</td>\n",
              "      <td>1634</td>\n",
              "      <td>1657</td>\n",
              "      <td>1660</td>\n",
              "      <td>-0.635903</td>\n",
              "      <td>0.022785</td>\n",
              "      <td>-0.752670</td>\n",
              "      <td>[0.07715271729744659,-25.198422937564423,307.3...</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>23</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>0</td>\n",
              "      <td>21</td>\n",
              "      <td>1674</td>\n",
              "      <td>1677</td>\n",
              "      <td>1722</td>\n",
              "      <td>1725</td>\n",
              "      <td>-0.310888</td>\n",
              "      <td>-0.929318</td>\n",
              "      <td>0.129439</td>\n",
              "      <td>[3.7308667267026223,-27.43000017293435,310.708...</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>45</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>0</td>\n",
              "      <td>22</td>\n",
              "      <td>1680</td>\n",
              "      <td>1685</td>\n",
              "      <td>1713</td>\n",
              "      <td>1718</td>\n",
              "      <td>-0.413179</td>\n",
              "      <td>-0.887943</td>\n",
              "      <td>0.039460</td>\n",
              "      <td>[2.990921170924728,-29.770430541078778,310.438...</td>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "      <td>28</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>0</td>\n",
              "      <td>23</td>\n",
              "      <td>1700</td>\n",
              "      <td>1703</td>\n",
              "      <td>1706</td>\n",
              "      <td>1709</td>\n",
              "      <td>-0.428799</td>\n",
              "      <td>-0.828855</td>\n",
              "      <td>0.309399</td>\n",
              "      <td>[1.7119735630751405,-33.122129570753444,310.93...</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>0</td>\n",
              "      <td>24</td>\n",
              "      <td>1739</td>\n",
              "      <td>1742</td>\n",
              "      <td>1754</td>\n",
              "      <td>1757</td>\n",
              "      <td>-0.403364</td>\n",
              "      <td>-0.875874</td>\n",
              "      <td>0.066787</td>\n",
              "      <td>[8.418171145792835,-27.819452634299388,313.046...</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>0</td>\n",
              "      <td>25</td>\n",
              "      <td>1880</td>\n",
              "      <td>1884</td>\n",
              "      <td>1889</td>\n",
              "      <td>1893</td>\n",
              "      <td>-0.644377</td>\n",
              "      <td>0.566932</td>\n",
              "      <td>-0.494618</td>\n",
              "      <td>[14.451691799180246,-30.250699057672282,302.94...</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>0</td>\n",
              "      <td>26</td>\n",
              "      <td>1926</td>\n",
              "      <td>1930</td>\n",
              "      <td>1951</td>\n",
              "      <td>1955</td>\n",
              "      <td>0.979554</td>\n",
              "      <td>0.152266</td>\n",
              "      <td>-0.087029</td>\n",
              "      <td>[10.267708140060082,-35.95050023704582,298.634...</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>21</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>0</td>\n",
              "      <td>27</td>\n",
              "      <td>2084</td>\n",
              "      <td>2087</td>\n",
              "      <td>2120</td>\n",
              "      <td>2123</td>\n",
              "      <td>-0.220340</td>\n",
              "      <td>-0.743510</td>\n",
              "      <td>-0.553165</td>\n",
              "      <td>[9.64324630516419,-41.68842089357159,279.97454...</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>33</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>0</td>\n",
              "      <td>28</td>\n",
              "      <td>2098</td>\n",
              "      <td>2101</td>\n",
              "      <td>2110</td>\n",
              "      <td>2113</td>\n",
              "      <td>0.757464</td>\n",
              "      <td>0.615121</td>\n",
              "      <td>-0.083239</td>\n",
              "      <td>[10.547230177672677,-41.37789831810831,275.892...</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>0</td>\n",
              "      <td>29</td>\n",
              "      <td>2196</td>\n",
              "      <td>2199</td>\n",
              "      <td>2210</td>\n",
              "      <td>2213</td>\n",
              "      <td>-0.502439</td>\n",
              "      <td>0.482562</td>\n",
              "      <td>-0.702493</td>\n",
              "      <td>[3.388387987078487,-26.596025496516507,265.633...</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>11</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30</th>\n",
              "      <td>0</td>\n",
              "      <td>30</td>\n",
              "      <td>2322</td>\n",
              "      <td>2327</td>\n",
              "      <td>2381</td>\n",
              "      <td>2386</td>\n",
              "      <td>-0.344535</td>\n",
              "      <td>-0.100444</td>\n",
              "      <td>-0.911845</td>\n",
              "      <td>[3.815886757978564,-37.6069406970645,255.50872...</td>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "      <td>54</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>31</th>\n",
              "      <td>0</td>\n",
              "      <td>31</td>\n",
              "      <td>2331</td>\n",
              "      <td>2335</td>\n",
              "      <td>2369</td>\n",
              "      <td>2373</td>\n",
              "      <td>0.828330</td>\n",
              "      <td>0.442301</td>\n",
              "      <td>-0.312765</td>\n",
              "      <td>[4.5632443914257586,-36.880848309060056,251.65...</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>34</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>32</th>\n",
              "      <td>0</td>\n",
              "      <td>32</td>\n",
              "      <td>2354</td>\n",
              "      <td>2357</td>\n",
              "      <td>2364</td>\n",
              "      <td>2367</td>\n",
              "      <td>0.657668</td>\n",
              "      <td>0.741759</td>\n",
              "      <td>-0.125243</td>\n",
              "      <td>[6.385499874099205,-35.67720694457098,250.7199...</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>33</th>\n",
              "      <td>0</td>\n",
              "      <td>33</td>\n",
              "      <td>2481</td>\n",
              "      <td>2488</td>\n",
              "      <td>2492</td>\n",
              "      <td>2499</td>\n",
              "      <td>-0.651816</td>\n",
              "      <td>0.076225</td>\n",
              "      <td>0.722407</td>\n",
              "      <td>[11.52023136393494,-32.31680602684381,252.2048...</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>34</th>\n",
              "      <td>0</td>\n",
              "      <td>34</td>\n",
              "      <td>2598</td>\n",
              "      <td>2601</td>\n",
              "      <td>2646</td>\n",
              "      <td>2649</td>\n",
              "      <td>0.419246</td>\n",
              "      <td>-0.456525</td>\n",
              "      <td>-0.778857</td>\n",
              "      <td>[16.18958964408054,-40.3313797011488,258.65176...</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>45</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>35</th>\n",
              "      <td>0</td>\n",
              "      <td>35</td>\n",
              "      <td>2608</td>\n",
              "      <td>2611</td>\n",
              "      <td>2637</td>\n",
              "      <td>2640</td>\n",
              "      <td>0.366432</td>\n",
              "      <td>0.234086</td>\n",
              "      <td>-0.892484</td>\n",
              "      <td>[17.167027812201233,-41.47227678953199,255.258...</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>26</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>36</th>\n",
              "      <td>0</td>\n",
              "      <td>36</td>\n",
              "      <td>2619</td>\n",
              "      <td>2622</td>\n",
              "      <td>2626</td>\n",
              "      <td>2629</td>\n",
              "      <td>0.119541</td>\n",
              "      <td>0.180023</td>\n",
              "      <td>-0.966436</td>\n",
              "      <td>[18.21712223431703,-41.22499000763355,250.9517...</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>37</th>\n",
              "      <td>0</td>\n",
              "      <td>37</td>\n",
              "      <td>2656</td>\n",
              "      <td>2659</td>\n",
              "      <td>2667</td>\n",
              "      <td>2670</td>\n",
              "      <td>-0.761299</td>\n",
              "      <td>0.028966</td>\n",
              "      <td>0.631195</td>\n",
              "      <td>[14.357279544348916,-40.47592760480852,260.255...</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
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              "\n",
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              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
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              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 92
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "id": "u9L5VOKd-taL"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "vector = np.array(range(0, 2864))"
      ],
      "metadata": {
        "id": "vDJOerrIg69T"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "for i, row in hp.iterrows():\n",
        "    vector[row['end1']:row['start2']] = -1"
      ],
      "metadata": {
        "id": "0mqTWpnnhxgX"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "%time vector.tolist()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7SWgcSGeilb3",
        "outputId": "1aa92fd6-1275-497f-f1ae-507a3e2935e4"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "CPU times: user 145 µs, sys: 0 ns, total: 145 µs\n",
            "Wall time: 157 µs\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
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            ]
          },
          "metadata": {},
          "execution_count": 95
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "%cd /software/\n",
        "!git clone https://github.com/lorenzo-rovigatti/oxDNA\n",
        "%cd oxDNA\n",
        "%mkdir build\n",
        "%cd build\n",
        "!cmake .. -DPython=ON\n",
        "!make -j2\n",
        "%cd ../.."
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "T1qYBRAM0eU1",
        "outputId": "404bcce1-ffb3-454f-ac97-f14dd5d97b5d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[Errno 2] No such file or directory: '/software/'\n",
            "/content\n",
            "Cloning into 'oxDNA'...\n",
            "remote: Enumerating objects: 14575, done.\u001b[K\n",
            "remote: Counting objects: 100% (4742/4742), done.\u001b[K\n",
            "remote: Compressing objects: 100% (1636/1636), done.\u001b[K\n",
            "remote: Total 14575 (delta 3029), reused 4680 (delta 2993), pack-reused 9833\u001b[K\n",
            "Receiving objects: 100% (14575/14575), 45.65 MiB | 17.60 MiB/s, done.\n",
            "Resolving deltas: 100% (10206/10206), done.\n",
            "/content/oxDNA\n",
            "/content/oxDNA/build\n",
            "\u001b[0mCMake Deprecation Warning at CMakeLists.txt:8 (cmake_policy):\n",
            "  The OLD behavior for policy CMP0037 will be removed from a future version\n",
            "  of CMake.\n",
            "\n",
            "  The cmake-policies(7) manual explains that the OLD behaviors of all\n",
            "  policies are deprecated and that a policy should be set to OLD only under\n",
            "  specific short-term circumstances.  Projects should be ported to the NEW\n",
            "  behavior and not rely on setting a policy to OLD.\n",
            "\n",
            "\u001b[0m\n",
            "-- The C compiler identification is GNU 7.5.0\n",
            "-- The CXX compiler identification is GNU 7.5.0\n",
            "-- Detecting C compiler ABI info\n",
            "-- Detecting C compiler ABI info - done\n",
            "-- Check for working C compiler: /usr/bin/cc - skipped\n",
            "-- Detecting C compile features\n",
            "-- Detecting C compile features - done\n",
            "-- Detecting CXX compiler ABI info\n",
            "-- Detecting CXX compiler ABI info - done\n",
            "-- Check for working CXX compiler: /usr/bin/c++ - skipped\n",
            "-- Detecting CXX compile features\n",
            "-- Detecting CXX compile features - done\n",
            "-- Performing Test COMPILER_SUPPORTS_MARCH_NATIVE\n",
            "-- Performing Test COMPILER_SUPPORTS_MARCH_NATIVE - Success\n",
            "-- Found Git: /usr/bin/git (found version \"2.17.1\") \n",
            "-- Could NOT find Doxygen (missing: DOXYGEN_EXECUTABLE) \n",
            "-- Adding the targets found in the /content/oxDNA/contrib/randisi folder\n",
            "-- Adding the targets found in the /content/oxDNA/contrib/romano folder\n",
            "-- Adding the targets found in the /content/oxDNA/contrib/rovigatti folder\n",
            "-- Found PkgConfig: /usr/bin/pkg-config (found version \"0.29.1\") \n",
            "-- Checking for module 'gsl'\n",
            "--   No package 'gsl' found\n",
            "-- Adding the targets found in the /content/oxDNA/contrib/tostiguerra folder\n",
            "-- Found PythonInterp: /usr/bin/python3 (found suitable version \"3.7.15\", minimum required is \"3\") \n",
            "-- Found PythonLibs: /usr/lib/x86_64-linux-gnu/libpython3.7m.so\n",
            "-- pybind11 v2.2.4\n",
            "-- The detected Python's include dirs are: /usr/include/python3.7m\n",
            "-- Enabling Python bindings\n",
            "-- Performing Test HAS_FLTO\n",
            "-- Performing Test HAS_FLTO - Success\n",
            "-- LTO enabled\n",
            "-- Configuring done\n",
            "-- Generating done\n",
            "-- Build files have been written to: /content/oxDNA/build\n",
            "[  1%] \u001b[32mBuilding CXX object src/CMakeFiles/oxdna_common.dir/Particles/TEPParticle.cpp.o\u001b[0m\n",
            "[  1%] \u001b[32mBuilding CXX object src/CMakeFiles/oxdna_common.dir/Particles/JordanParticle.cpp.o\u001b[0m\n",
            "[  1%] \u001b[32mBuilding CXX object src/CMakeFiles/oxdna_common.dir/Particles/RNANucleotide.cpp.o\u001b[0m\n",
            "[  1%] \u001b[32mBuilding CXX object src/CMakeFiles/oxdna_common.dir/Particles/BaseParticle.cpp.o\u001b[0m\n",
            "[  3%] \u001b[32mBuilding CXX object src/CMakeFiles/oxdna_common.dir/Particles/DNANucleotide.cpp.o\u001b[0m\n",
            "[  3%] \u001b[32mBuilding CXX object src/CMakeFiles/oxdna_common.dir/Particles/PatchyParticle.cpp.o\u001b[0m\n",
            "[  3%] \u001b[32mBuilding CXX object src/CMakeFiles/oxdna_common.dir/Particles/PatchyParticleDan.cpp.o\u001b[0m\n",
            "[  5%] \u001b[32mBuilding CXX object src/CMakeFiles/oxdna_common.dir/Particles/SpheroCylinder.cpp.o\u001b[0m\n",
            "[  5%] \u001b[32mBuilding CXX object src/CMakeFiles/oxdna_common.dir/Particles/CustomParticle.cpp.o\u001b[0m\n",
            "[  5%] \u001b[32mBuilding CXX object src/CMakeFiles/oxdna_common.dir/Particles/Molecule.cpp.o\u001b[0m\n",
            "[  5%] \u001b[32mBuilding CXX object src/CMakeFiles/oxdna_common.dir/Managers/SimManager.cpp.o\u001b[0m\n",
            "[  7%] \u001b[32mBuilding CXX object src/CMakeFiles/oxdna_common.dir/Utilities/OrderParameters.cpp.o\u001b[0m\n",
            "[  7%] \u001b[32mBuilding CXX object src/CMakeFiles/oxdna_common.dir/Utilities/Weights.cpp.o\u001b[0m\n",
            "[  7%] \u001b[32mBuilding CXX object src/CMakeFiles/oxdna_common.dir/Utilities/Histogram.cpp.o\u001b[0m\n",
            "[  9%] \u001b[32mBuilding CXX object src/CMakeFiles/oxdna_common.dir/Utilities/LR_vector.cpp.o\u001b[0m\n",
            "[  9%] \u001b[32mBuilding CXX object src/CMakeFiles/oxdna_common.dir/Utilities/LR_matrix.cpp.o\u001b[0m\n",
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            "[ 92%] \u001b[32mBuilding CXX object src/CMakeFiles/DNAnalysis.dir/Managers/AnalysisManager.cpp.o\u001b[0m\n",
            "[ 92%] Built target oxDNA\n",
            "[ 94%] \u001b[32mBuilding CXX object src/CMakeFiles/confGenerator.dir/confGenerator.cpp.o\u001b[0m\n",
            "[ 96%] \u001b[32m\u001b[1mLinking CXX executable ../bin/DNAnalysis\u001b[0m\n",
            "[ 96%] Built target DNAnalysis\n",
            "[ 98%] \u001b[32mBuilding CXX object oxpy/CMakeFiles/_oxpy_lib.dir/OxpyContext.cpp.o\u001b[0m\n",
            "[ 98%] \u001b[32mBuilding CXX object src/CMakeFiles/confGenerator.dir/Managers/GeneratorManager.cpp.o\u001b[0m\n",
            "[ 98%] \u001b[32m\u001b[1mLinking CXX executable ../bin/confGenerator\u001b[0m\n",
            "[ 98%] Built target confGenerator\n",
            "[ 98%] \u001b[32mBuilding CXX object oxpy/CMakeFiles/_oxpy_lib.dir/OxpyManager.cpp.o\u001b[0m\n",
            "[ 98%] \u001b[32m\u001b[1mLinking CXX static library lib_oxpy_lib.a\u001b[0m\n",
            "[ 98%] Built target _oxpy_lib\n",
            "[100%] \u001b[32mBuilding CXX object oxpy/CMakeFiles/core.dir/bindings.cpp.o\u001b[0m\n",
            "[100%] \u001b[32m\u001b[1mLinking CXX shared library python/oxpy/core.so\u001b[0m\n",
            "[100%] Built target core\n",
            "/content\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "%cd oxDNA"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "H6fNjpOP11PE",
        "outputId": "83fbbe13-9f73-491a-97c3-df678901a644"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/oxDNA\n"
          ]
        }
      ]
    }
  ]
}