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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,116 @@ | ||
| { | ||
| "cells": [ | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": 10, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "import numpy as np\n", | ||
| "import json" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": 11, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "infos = json.load(open('./info/colab.json'))\n", | ||
| "template = open('./templates/index_template.html').readlines()" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": 12, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "def add_collab(name, desig, univ, img):\n", | ||
| "\n", | ||
| " return f\"\"\" <div class=\"testimonial-item text-center rounded pb-4\">\n", | ||
| " <div class=\"testimonial-comment rounded p-5\">\n", | ||
| " </div>\n", | ||
| " <div class=\"testimonial-img p-1\">\n", | ||
| " <img src=\"{img}\" class=\"img-fluid rounded-circle\" alt=\"{name}\">\n", | ||
| " </div>\n", | ||
| " <div style=\"margin-top: -35px;\">\n", | ||
| " <h5 class=\"mb-0\">{name}</h5>\n", | ||
| " <p class=\"mb-0\">{desig}\n", | ||
| " <br> {univ}\n", | ||
| " </p>\n", | ||
| " </div>\n", | ||
| " </div>\"\"\"\n", | ||
| " \n", | ||
| "\n", | ||
| "def return_head_tail(mem_type, style = 1):\n", | ||
| "\n", | ||
| " section_head = \"\"\"<div class=\"container-fluid testimonial py-5\">\n", | ||
| " <div class=\"container py-5\">\n", | ||
| " <div class=\"mx-auto text-center mb-5\" style=\"max-width: 900px;\">\n", | ||
| " <h5 class=\"section-title px-3\">Colaborators</h5>\n", | ||
| " <h1 class=\"mb-0\">National/international colaborators</h1>\n", | ||
| " </div>\n", | ||
| " <div class=\"testimonial-carousel owl-carousel\">\"\"\"\n", | ||
| "\n", | ||
| " section_tail = \"\"\"</div></div></div>\"\"\"\n", | ||
| " return section_head, section_tail" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": 13, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "for i, line in enumerate(template):\n", | ||
| " if \"<!-- Collaborator Start -->\" in line:\n", | ||
| " header = template[:i+1]\n", | ||
| " tail = template[i+2:]\n", | ||
| "full_html = \"\" + ''.join(header)\n", | ||
| "for item in infos:\n", | ||
| " head = \"\"\n", | ||
| "\n", | ||
| " section_head, section_tail = return_head_tail('Alumni')\n", | ||
| " head += section_head\n", | ||
| " for mem in infos[item]:\n", | ||
| " head += add_collab(mem['name'], mem['desig'], mem['univ'], mem['img'])\n", | ||
| " head += section_tail\n", | ||
| "\n", | ||
| "full_html += head\n", | ||
| "full_html += ''.join(tail)\n", | ||
| "\n", | ||
| "with open('test.html', 'w') as f:\n", | ||
| " f.write(full_html)" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [] | ||
| } | ||
| ], | ||
| "metadata": { | ||
| "kernelspec": { | ||
| "display_name": "sarkar", | ||
| "language": "python", | ||
| "name": "python3" | ||
| }, | ||
| "language_info": { | ||
| "codemirror_mode": { | ||
| "name": "ipython", | ||
| "version": 3 | ||
| }, | ||
| "file_extension": ".py", | ||
| "mimetype": "text/x-python", | ||
| "name": "python", | ||
| "nbconvert_exporter": "python", | ||
| "pygments_lexer": "ipython3", | ||
| "version": "3.12.4" | ||
| } | ||
| }, | ||
| "nbformat": 4, | ||
| "nbformat_minor": 2 | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,34 @@ | ||
| { | ||
| "colab": [ | ||
| { | ||
| "name": "Ruth Nussinov", | ||
| "desig": "Professor and Senior Principal Investigator", | ||
| "univ": "National Cancer Institute and Tel Aviv University", | ||
| "img": "./img/ruth.jpeg" | ||
| }, | ||
| { | ||
| "name": "Gautam Basu", | ||
| "desig": "Professor (retired)", | ||
| "univ": "Biophysics, Bose Institute", | ||
| "img": "./img/gbasu.jpg" | ||
| }, | ||
| { | ||
| "name": "Supratim Banerjee", | ||
| "desig": "Associate Professor", | ||
| "univ": "DCS, IISERK", | ||
| "img": "./img/supra.png" | ||
| }, | ||
| { | ||
| "name": "Rajnish Kumar", | ||
| "desig": "Professor", | ||
| "univ": "Chemical Engineering, IITM", | ||
| "img": "./img/rajnish.jpg" | ||
| }, | ||
| { | ||
| "name": "Dibyendu Das", | ||
| "desig": "Associate Professor", | ||
| "univ": "Chemistry, IISERK", | ||
| "img": "./img/ddas.jpeg" | ||
| } | ||
| ] | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,54 @@ | ||
| import json | ||
|
|
||
| def add_collab(name, desig, univ, img): | ||
|
|
||
| return f""" <div class="testimonial-item text-center rounded pb-4"> | ||
| <div class="testimonial-comment rounded p-5"> | ||
| </div> | ||
| <div class="testimonial-img p-1"> | ||
| <img src="{img}" class="img-fluid rounded-circle" alt="{name}"> | ||
| </div> | ||
| <div style="margin-top: -35px;"> | ||
| <h5 class="mb-0">{name}</h5> | ||
| <p class="mb-0">{desig} | ||
| <br> {univ} | ||
| </p> | ||
| </div> | ||
| </div>""" | ||
|
|
||
|
|
||
| def return_head_tail(): | ||
|
|
||
| section_head = """<div class="container-fluid testimonial py-5"> | ||
| <div class="container py-5"> | ||
| <div class="mx-auto text-center mb-5" style="max-width: 900px;"> | ||
| <h5 class="section-title px-3">Colaborators</h5> | ||
| <h1 class="mb-0">National/international colaborators</h1> | ||
| </div> | ||
| <div class="testimonial-carousel owl-carousel">""" | ||
|
|
||
| section_tail = """</div></div></div>""" | ||
| return section_head, section_tail | ||
|
|
||
| infos = json.load(open('./info/colab.json')) | ||
| template = open('./index.html').readlines() | ||
|
|
||
| for i, line in enumerate(template): | ||
| if "<!-- Collaborator Start -->" in line: | ||
| header = template[:i+1] | ||
| tail = template[i+2:] | ||
| full_html = "" + ''.join(header) | ||
| for item in infos: | ||
| head = "" | ||
|
|
||
| section_head, section_tail = return_head_tail() | ||
| head += section_head | ||
| for mem in infos[item]: | ||
| head += add_collab(mem['name'], mem['desig'], mem['univ'], mem['img']) | ||
| head += section_tail | ||
|
|
||
| full_html += head | ||
| full_html += ''.join(tail) | ||
|
|
||
| with open('index.html', 'w') as f: | ||
| f.write(full_html) |
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