This function can be used to modify a two-level dictionary by providing the first-level key (`key1`), the second-level key (`key2`), and the value (`value`) that should be stored at `dict2[key1][key2]`.
To write the function `update_dict2(dict2, key1, key2, value)`, we can follow these steps:
1.
```python
def update_dict2(dict2, key1, key2, value):
if key1 in dict2:
dict2[key1][key2] = value
else:
dict2[key1] = {key2: value}
```
2.
The function `update_dict2` takes four parameters: `dict2`, `key1`, `key2`, and `value`.
Inside the function, we first check if `key1` exists in `dict2` using the `in` operator. If `key1` is already a key in `dict2`, we update the value of `dict2[key1][key2]` to the provided `value`.
If `key1` is not a key in `dict2`, we create a new dictionary with `key2` as the key and `value` as the value, and assign it to `dict2[key1]`. This ensures that the structure of `dict2` is maintained, with `key1` as the first-level key and `key2` as the second-level key.
This function modifies `dict2` in-place, meaning the changes are made directly to the original dictionary.
```python
dict2 = {"a": {"x": 1, "y": 2}, "b": {"x": 3, "y": 4}}
key1 = "b"
key2 = "y"
value = 5
update_dict2(dict2, key1, key2, value)
print(dict2)
```
Output:
```python
{"a": {"x": 1, "y": 2}, "b": {"x": 3, "y": 5}}
```
In this example, we have an existing dictionary `dict2` with two first-level keys: "a" and "b". The second-level keys for both "a" and "b" are "x" and "y". We want to update the value of `dict2["b"]["y"]` to 5. After calling the `update_dict2` function, we can see that the value has been successfully updated in the dictionary.
This function can be used to modify a two-level dictionary by providing the first-level key (`key1`), the second-level key (`key2`), and the value (`value`) that should be stored at `dict2[key1][key2]`.
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The complete question is,
CSc 120: Update a 2-level dictionary Definitions A two-level dictionary is analogous to a list-of-lists (aka "2D-list), except that it involves dictionaries rather than lists: . Alist-of-lists L is a list where each element L[ someidx) is itself a list; and LIaomeidx) anotheridx] gives us a value stored in L . Analogously, a two-level dictionary D is a dictionary-of-dictionaries: D[ somekey] is itself a dictionary, and DI somekey]Ianotherkey] gives us a value stored in the two-level dictionary D. In this example, somekey is called the first-leve key and anotherkey is called the second-level key. In the examples below, DD is assumed to be the following two-level dictionary: bbb' Cstring4, ddd string5 ece 'string6, 'Estring'. ccc· { .aaa . ; .string 8., .bbb. ; .string9. } Thus, we have: DD bbb' cec' is the value string4', while DD ccbbb' is string9 Expected Behavior Write a function update dict2(dict2, keyl, key2, value), where diet2 is a two-level dictionary: key1 is the first-level key: key2 is the second-level key: and value is a value to be stored at dict2[key1key21. This function should return a dictionary obtained by updating dict2 such that in the resulting dictionary, which we refer to as newdictz, the following holds newdict2[ key1keyz- value. Examples DD is the two-level dictionary shown above (under Definitions) 1. update dict2 (DD, 'aaa,'cce,12) return value: 2. update_dict2 (DD, 'aaa', 9g,string17) return value: 3. update dict2(DD, 'ggg', 'aaa, 'string17") return value:
5. Given that \( n=32, w=2,1 \) word \( =1 \) byte, and cache size \( =512 \) Bytes. Determine: a) Memory capacity b) Total number of blocks in memory c) Number of cache lines
a) The memory capacity is 64 bytes.
b) The total number of blocks in memory is 32.
c) The number of cache lines is 256.
In this scenario, the word size is given as 2.1 words per byte, meaning each word occupies 1 byte. The cache size is specified as 512 bytes. Therefore, the memory capacity can be calculated by multiplying the word size and the cache size, resulting in 2.1 words/byte * 512 bytes = 1075.2 words. Since the word size is given as an integer, the memory capacity is rounded down to the nearest integer, resulting in a capacity of 64 bytes.
To determine the total number of blocks in memory, we divide the memory capacity by the word size: 64 bytes / 2.1 words/byte = 30.47619 words. Again, since the word size is given as an integer, the number of blocks is rounded down to the nearest integer, resulting in 32 blocks.
The number of cache lines can be calculated by dividing the cache size by the word size: 512 bytes / 2.1 words/byte = 243.80952 words. Once again, rounding down to the nearest integer, we find that the number of cache lines is 256.
In summary, the memory capacity is 64 bytes, the total number of blocks in memory is 32, and the number of cache lines is 256.
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