From d807bd6b3b395be6dd40959d5bcf49d214a4f91d Mon Sep 17 00:00:00 2001
From: "scott.liu" <zjliu67@gmail.com>
Date: Mon, 5 Jun 2023 03:19:34 -0700
Subject: [PATCH] HW4 by Scott

---
 Scott_Submissions/HW4.py | 147 +++++++++++++++++++++++++++++++++++++++
 1 file changed, 147 insertions(+)
 create mode 100644 Scott_Submissions/HW4.py

diff --git a/Scott_Submissions/HW4.py b/Scott_Submissions/HW4.py
new file mode 100644
index 0000000..19010cf
--- /dev/null
+++ b/Scott_Submissions/HW4.py
@@ -0,0 +1,147 @@
+# 1. Annotate the following python expressions with the specific types of each literal, as well as the overall return value:
+# i = 3
+# f = 3.0
+# c = 3+3j
+# b = b'abcdefg'
+# s = 'abcdefg'
+# s = "abcdefg"
+
+i = 3
+f = 3.0
+c = 3+3j
+b = b'abcdefg'
+s1 = 'abcdefg'
+s2 = "abcdefg"
+
+def check_the_datatype():
+    print()
+    print('This is the answer for Q1:')
+    print()
+    variable_names = ['i', 'f', 'c', 'b', 's1', 's2']
+    data_list = [i, f, c, b, s1, s2]
+    for variable, data in zip(variable_names, data_list):
+        print("The type of this assigned value {} = {} is: {}".format(variable, data, type(data).__name__))
+
+
+
+# 2. For each of the types string, bytestring, integer, floating point, and imaginary literals, 
+#   construct a 5x5 table showing what happens when the character "0" or number 0 is compared to each other type
+
+from tabulate import tabulate
+from termcolor import colored
+
+from tabulate import tabulate
+from termcolor import colored
+
+def tablesQ2():
+    print()
+    print('-' * 20)
+    print()
+    print('This is the answer for Q2:')
+    print()
+    types = ["String", "Byte String", "Integer", "Floating Point", "Imaginary"]
+    literals = ['"0"', 'b"0"', '0', '0.0', '0j']
+
+    table_data = []
+
+    for type_ in types:
+        
+        row = [type_]
+
+        for literal in literals:
+            
+            if type_ == "String":
+                result = literal == '"0"'
+            elif type_ == "Byte String":
+                result = literal.encode() == b"0"
+            elif type_ == "Integer":
+                try:
+                    result = int(literal) == 0
+                except ValueError:
+                    result = False
+            elif type_ == "Floating Point":
+                try:
+                    result = float(literal) == 0.0
+                except ValueError:
+                    result = False
+            elif type_ == "Imaginary":
+                result = literal.replace('j', 'j0') == "0j"
+            color = 'green' if result else 'red'
+            colored_result = colored(result, color)
+            row.append(colored_result)
+
+        table_data.append(row)
+
+    table = tabulate(table_data, headers=["Type"] + literals, tablefmt="pipe")
+    print(table)
+
+
+
+# 3. Now do the same thing for the + and == operators for each pair of types in two other 5x5 tables.
+
+def tablesQ3():
+    print()
+    print('-' * 20)
+    print()
+    print('This is the answer for Q3:')
+    print()
+
+    operators = ["+", "=="]
+    types = ["str", "bytes", "int", "float", "complex"]
+    literals = ['"0"', 'b"0"', '0', '0.0', '0+0j']
+
+    for operator in operators:
+        print(f"Table for {operator} Operator:")
+        table_data = []
+
+        for type_ in types:
+            row = [type_]
+
+            for literal in literals:
+                try:
+                    result = eval(f"{literal} {operator} {type_}({literal})")
+                    color = 'green'
+                except TypeError:
+                    result = False
+                    color = 'red'
+
+                colored_result = colored(result, color)
+                row.append(colored_result)
+
+            table_data.append(row)
+
+        table = tabulate(table_data, headers=["Type"] + literals, tablefmt="pipe")
+        print(table)
+        print()
+
+
+
+# Write a small program that uses the AST module to open the lexer/parser example, and dumps the resulting AST. 
+# See if there are any arguments to the parse method which make the output easier to read.
+
+# By default, ast.dump() prints the AST in a compact format. 
+# However, there are two optional arguments that can enhance the readability:
+# indent: Specifies the number of spaces to use for indentation. Setting it to a positive integer (e.g., 4) indents each level of the AST by that amount.
+# annotate_fields: When set to True, adds field names as comments to the output, making it easier to identify each part of the AST.
+
+import ast
+
+def dump_ast(filename):
+    with open(filename, 'r') as file:
+        source_code = file.read()
+
+    try:
+        tree = ast.parse(source_code)
+        ast_dump = ast.dump(tree, indent=4, annotate_fields=True)
+        print(ast_dump)
+    except SyntaxError as e:
+        print(f"Syntax error in {filename}: {e}")
+
+
+
+
+if __name__ == "__main__":
+    check_the_datatype()
+    tablesQ2()
+    tablesQ3()
+    print()
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