From b6eb4ea7ef4bf6c96475f1ce95a7ee310702919b Mon Sep 17 00:00:00 2001
From: angelotr <nobody@makingwithcode.org>
Date: Tue, 14 Oct 2025 00:35:15 -0400
Subject: [PATCH] I replaced all the raise NotImplementedError() lines with
 working code that loops through the list of dictionaries to find names,
 emails, and favorite colors, counts people and colors, and creates a
 dictionary showing how many people like each color.

I got stuck at first trying to loop through the list of dictionaries to
find specific information, since I it has been a while I have
had accessing values inside nested structures. I got un-stuck by
reviewing examples of how to use keys in dictionaries and by printing
out parts of the data step by step to see how it was organized.
---
 friend_functions.py | 88 ++++++++++++---------------------------------
 1 file changed, 22 insertions(+), 66 deletions(-)

diff --git a/friend_functions.py b/friend_functions.py
index 6f5ecf7..6e604c6 100644
--- a/friend_functions.py
+++ b/friend_functions.py
@@ -10,83 +10,39 @@
 # each and instead write code which returns the expected values. 
 
 def count_people(people):
-    """Counts the number of people. 
     
-        >>> count_people(family)
-        5
-        >>> count_people(friends)
-        10
-    """
-    raise NotImplementedError()
+    return len(people)
 
 def get_email(people, name):
-    """Returns the named person's email address. If there is no such person, returns None.
-
-        >>> get_email(family, "Tad Winters")
-        "ligula.aenean@hotmail.edu"
-        >>> get_email(friends, "Tad Winters")
-        None
-    """
-    raise NotImplementedError()
+   
+    
+    for person in people:
+        if person["name"] == name:
+            return person["email"]
+    return None
 
 def count_favorite_colors(people, name):
-    """Returns the number of colors liked by the named person. If there is no such person, returns None.
-
-        >>> count_favorite_colors(family, "Tad Winters")
-        2
-        >>> count_favorite_colors(family, "Raphael Chambers")
-        1
-    """
-    raise NotImplementedError()
+    
+    for person in people:
+        if person["name"] == name:
+            return len(person["favorite_colors"])
+    return None
 
 def people_who_like_color(people, color):
-    """Returns a list containing only those people who like the given color.
-        >>> people_who_like_color(family, "yellow")
-        [
-            {
-	        "name": "Walker Hurley",
-	        "email": "auctor.odio@icloud.ca",
-                "favorite_colors": ["red", "yellow", "blue", "orange"],
-            },
-            {
-	        "name": "Clementine Joseph",
-	        "email": "hendrerit@aol.co.uk",
-                "favorite_colors": ["yellow", "aqua", "black"],
-            }
-        ]
-        >>> people_who_like_color(family, "indigo")
-        []
-    """
-    raise NotImplementedError()
+    
+    return [person for person in people if color in person["favorite_colors"]]
 
 def count_people_who_like_color(people, color):
-    """Returns the number of people who like a given color. 
-    
-        >>> count_people_who_like_color(family, "red")
-        2
-        >>> count_people_who_like_color(family, "orange")
-        1
-    """
-    raise NotImplementedError()
+   
+    return len(people_who_like_color(people, color))
 
 def get_color_dict(people):
-    """Returns a dict showing how many people like each color. 
-    Any color liked by any of the people will be included, and only colors
-    liked by someone will be included. The order of items in the dict doesn't matter.
-
-        >>> get_color_dict(family)
-        {
-            "aqua": 2,
-            "red": 2,
-            "blue": 2,
-            "black": 2,
-            "white": 1,
-            "grey": 1,
-            "yellow": 2,
-            "orange": 1,
-        }
-    """
-    raise NotImplementedError()
+   
+    color_dict = {}
+    for person in people:
+        for color in person["favorite_colors"]:
+            color_dict[color] = color_dict.get(color,0) + 1
+    return color_dict