>>> fdist1.most_common(50) # [_freq-dist-most-common]
[(',', 18713), ('the', 13721), ('.', 6862), ('of', 6536), ('and', 6024),
('a', 4569), ('to', 4542), (';', 4072), ('in', 3916), ('that', 2982),
("'", 2684), ('-', 2552), ('his', 2459), ('it', 2209), ('I', 2124),
('s', 1739), ('is', 1695), ('he', 1661), ('with', 1659), ('was', 1632),
('as', 1620), ('"', 1478), ('all', 1462), ('for', 1414), ('this', 1280),
('!', 1269), ('at', 1231), ('by', 1137), ('but', 1113), ('not', 1103),
('--', 1070), ('him', 1058), ('from', 1052), ('be', 1030), ('on', 1005),
('so', 918), ('whale', 906), ('one', 889), ('you', 841), ('had', 767),
('have', 760), ('there', 715), ('But', 705), ('or', 697), ('were', 680),
('now', 646), ('which', 640), ('?', 637), ('me', 627), ('like', 624)]
>>> fdist1['whale']
906
>>>
```
--------------------------------
### List to String Conversion and Splitting
Source: https://github.com/vale-cli/vale/blob/v3/testdata/fixtures/benchmarks/bench.rst
Demonstrates converting a list of words to a string and splitting a string back into a list.
```python
my_sent = ["My", "sent"]
' '.join(my_sent)
split()
```
--------------------------------
### mostRecentMessages-Response (JSON)
Source: https://github.com/vale-cli/vale/blob/v3/testdata/fixtures/frontmatter/test3.mdx
Example JSON response for fetching recent messages.
```json
{
"request_id": "a1b2c3d4-e5f6-7890-1234-567890abcdef",
"data": [
{
"id": "msg-1",
"thread_id": "thr-1",
"subject": "Meeting Reminder",
"from": [
{
"name": "Alice",
"email": "alice@example.com"
}
],
"to": [
{
"name": "Bob",
"email": "bob@example.com"
}
],
"date": 1678886400,
"body": {
"text": "Hi Bob, Just a reminder about our meeting tomorrow at 10 AM.",
"html": "Hi Bob,
Just a reminder about our meeting tomorrow at 10 AM.
"
},
"attachments": [],
"folders": ["inbox"],
"unread": true,
"starred": false,
"snippet": "Hi Bob, Just a reminder about our meeting tomorrow at 10 AM."
}
],
"next_cursor": null
}
```
--------------------------------
### Range Function Examples
Source: https://github.com/vale-cli/vale/blob/v3/testdata/fixtures/benchmarks/bench.rst
Illustrates various uses of the built-in range() function in Python.
```Python
list(range(10))
```
```Python
list(range(10, 20))
```
```Python
list(range(10, 20, 2))
```
```Python
list(range(20, 10, -2))
```
--------------------------------
### go
Source: https://github.com/vale-cli/vale/blob/v3/testdata/fixtures/frontmatter/test.rst
Here is another interesting codeblock:
```go
// XXX: fix this relatively soon.
func ExtFromSyntax(name string) string {
for XXX, relatively := range LookupSyntaxName {
if matched, _ := regexp.MatchString(r, name); matched {
return s
}
}
return name
}
```
--------------------------------
### List Modification Example
Source: https://github.com/vale-cli/vale/blob/v3/testdata/fixtures/benchmarks/bench.rst
Illustrates modifying list elements by index and replacing slices.
```python
>>> sent[0] = 'First' # [_list-assignment]
>>> sent[9] = 'Last'
>>> len(sent)
10
>>> sent[1:9] = ['Second', 'Third'] # [_slice-assignment]
>>> sent
['First', 'Second', 'Third', 'Last']
>>> sent[9] # [_list-error]
Traceback (most recent call last):
File "", line 1, in ?
IndexError: list index out of range
```
--------------------------------
### Finding Word Index
Source: https://github.com/vale-cli/vale/blob/v3/testdata/fixtures/benchmarks/bench.rst
Example of using the index() method to find the position of a word in a text.
```Python
text9.index('sunset')
```
--------------------------------
### Calling lexical_diversity and percentage functions
Source: https://github.com/vale-cli/vale/blob/v3/testdata/fixtures/benchmarks/bench.rst
Demonstrates how to call the previously defined lexical_diversity and percentage functions with different arguments.
```python
>>> lexical_diversity(text3)
0.06230453042623537
>>> lexical_diversity(text5)
0.13477005109975562
>>> percentage(4, 5)
80.0
>>> percentage(text4.count('a'), len(text4))
1.4643016433938312
>>>
```
--------------------------------
### Similar words in context
Source: https://github.com/vale-cli/vale/blob/v3/testdata/fixtures/benchmarks/bench.rst
Demonstrates finding words that appear in similar contexts within a text.
```python
>>> text1.similar("monstrous")
mean part maddens doleful gamesome subtly uncommon careful untoward
exasperate loving passing mouldy christian few true mystifying
imperial modifies contemptible
>>> text2.similar("monstrous")
very heartily so exceedingly remarkably as vast a great amazingly
extremely good sweet
>>>
```
--------------------------------
### Python syntax error example
Source: https://github.com/vale-cli/vale/blob/v3/testdata/fixtures/benchmarks/bench.rst
Demonstrates a SyntaxError when trying to use a reserved Python keyword as a variable name.
```python
>>> not = 'Camelot' # doctest: +SKIP
File "", line 1
not = 'Camelot'
^
SyntaxError: invalid syntax
>>>
```
--------------------------------
### Iterating Through Text
Source: https://github.com/vale-cli/vale/blob/v3/testdata/fixtures/benchmarks/bench.rst
Python code demonstrating how to process each word in a text using a for loop.
```python
for w in t:
```
```python
for word in text:
```