#!/usr/bin/env python
# coding: utf-8

# <a href="https://colab.research.google.com/github/NeuromatchAcademy/course-content/blob/main/tutorials/W1D1_ModelTypes/W1D1_Tutorial4.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a> &nbsp; <a href="https://kaggle.com/kernels/welcome?src=https://raw.githubusercontent.com/NeuromatchAcademy/course-content/main/tutorials/W1D1_ModelTypes/W1D1_Tutorial4.ipynb" target="_parent"><img src="https://kaggle.com/static/images/open-in-kaggle.svg" alt="Open in Kaggle"/></a>

# # Tutorial 4: Model Discussions
# **Week 1, Day 1: Model Types**
# 
# **By Neuromatch Academy**
# 
# __Content creators:__ Matt Laporte, Byron Galbraith, Konrad Kording
# 
# __Post-production team:__ Gagana B, Spiros Chavlis
# 
# 

# ___
# # Tutorial Objectives
# 
# *Estimated timing of tutorial: 45 minutes*
# 
# In this tutorial, you will reflect on what/how/why models in a group discussion and discuss your preferences and thoughts on modeling.

# In[ ]:


# @title Tutorial slides
# @markdown These are the slides for the videos in all tutorials today
from IPython.display import IFrame
link_id = "6dxwe"
print(f"If you want to download the slides: https://osf.io/download/{link_id}/")
IFrame(src=f"https://mfr.ca-1.osf.io/render?url=https://osf.io/{link_id}/?direct%26mode=render%26action=download%26mode=render", width=854, height=480)


# ---
# # Setup

# In[ ]:


# @title Install and import feedback gadget

get_ipython().system('pip3 install vibecheck datatops --quiet')

from vibecheck import DatatopsContentReviewContainer
def content_review(notebook_section: str):
    return DatatopsContentReviewContainer(
        "",  # No text prompt
        notebook_section,
        {
            "url": "https://pmyvdlilci.execute-api.us-east-1.amazonaws.com/klab",
            "name": "neuromatch_cn",
            "user_key": "y1x3mpx5",
        },
    ).render()


feedback_prefix = "W1D1_T4"


# ---
# # Section 1: Model discussions
# 
# 

# ## Think! 1: Model discussions
# 
# Please spend the next **45 minutes** or so discussing the following questions.
# 
# - What is your favorite model ever
#     - Every student contributes one. Can not reuse the same
# - Which models when?
#     - For which questions do you prefer what models?
#     - How models?
#     - Why models?
# - Which model kinds do you like best?
#     - Why?
#     - Would you be missing something if the other models did not exist?

# In[ ]:


# @title Submit your feedback
content_review(f"{feedback_prefix}_Model_discussions_Discussion")