Code-aware text splitting in LangChain - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the RecursiveCharacterTextSplitter from langchain.text_splitter.

LangChain

from langchain.text_splitter import [1]

Drag options to blanks, or click blank then click option'

ATextSplitter

BRecursiveCharacterTextSplitter

CCharacterTextSplitter

DCodeTextSplitter

Attempts:

3 left

💡 Hint

Common Mistakes

Importing a non-existent class like CodeTextSplitter.

Using a generic name like TextSplitter which is not the correct class.

The RecursiveCharacterTextSplitter is the correct class to import for code-aware splitting in LangChain.

2fill in blank

medium

Complete the code to create a RecursiveCharacterTextSplitter with chunk size 1000.

LangChain

splitter = RecursiveCharacterTextSplitter(chunk_size=[1])

Drag options to blanks, or click blank then click option'

A1000

B500

C2000

D1500

Attempts:

3 left

💡 Hint

Common Mistakes

Using too small or too large chunk sizes that don't fit typical code chunks.

Confusing chunk size with chunk overlap.

Setting chunk_size=1000 splits text into chunks of 1000 characters, suitable for code-aware splitting.

3fill in blank

hard

Fix the error in the code to split text using the splitter's split_text method.

LangChain

chunks = splitter.[1](text)

Drag options to blanks, or click blank then click option'

Asplit_texts

Bsplit

Csplit_text

DsplitText

Attempts:

3 left

💡 Hint

Common Mistakes

Using split or splitText which are not valid methods.

Using split_texts which is plural and incorrect.

The correct method to split text in RecursiveCharacterTextSplitter is split_text.

4fill in blank

hard

Fill both blanks to create a RecursiveCharacterTextSplitter with chunk size 500 and chunk overlap 50.

LangChain

splitter = RecursiveCharacterTextSplitter(chunk_size=[1], chunk_overlap=[2])

Drag options to blanks, or click blank then click option'

A500

B100

C50

D200

Attempts:

3 left

💡 Hint

Common Mistakes

Mixing up chunk size and overlap values.

Using too large overlap causing redundant chunks.

chunk_size=500 and chunk_overlap=50 are common settings for balanced splitting with some overlap.

5fill in blank

hard

Fill all three blanks to create a splitter with chunk size 800, chunk overlap 100, and separators set to ['\n', ' ', ''].

LangChain

splitter = RecursiveCharacterTextSplitter(chunk_size=[1], chunk_overlap=[2], separators=[3])

Drag options to blanks, or click blank then click option'

A1000

B100

C['\n', ' ', '']

D800

Attempts:

3 left

💡 Hint

Common Mistakes

Using incorrect separators format.

Confusing chunk size and overlap values.

chunk_size=800, chunk_overlap=100, and separators=['\n', ' ', ''] configure the splitter to split on newlines, spaces, or no separator for code-aware splitting.

Practice

1. What is the main purpose of code-aware text splitting in langchain?

easy

A. To convert code into plain text

B. To merge multiple code files into one

C. To remove comments from code automatically

D. To split text into smaller parts without breaking code blocks

Solution

1. Step 1: Understand the goal of text splitting

   Text splitting breaks large text into smaller pieces for easier handling.

2. Step 2: Recognize the importance of code awareness

   Code-aware splitting avoids breaking inside code blocks to keep code valid and readable.

3. Final Answer:

   To split text into smaller parts without breaking code blocks -> Option D

4. Quick Check:

   Code-aware splitting = split without breaking code blocks [OK]

Hint: Remember: split text but keep code blocks intact [OK]

Common Mistakes:

• Thinking it merges code files
• Assuming it removes comments
• Believing it converts code to plain text

2. Which of the following is the correct way to create a code-aware text splitter in langchain?

easy

A. TextSplitter(chunk_size=1000, overlap=100)

B. CodeAwareTextSplitter(chunk_size=1000, chunk_overlap=100)

C. CodeSplitter(chunk=1000, overlap=100)

D. CodeAwareSplitter(size=1000, overlap=100)

Solution

1. Step 1: Identify the correct class name

   The langchain class for code-aware splitting is CodeAwareTextSplitter.

2. Step 2: Check parameter names

   It uses chunk_size and chunk_overlap as parameters.

3. Final Answer:

   CodeAwareTextSplitter(chunk_size=1000, chunk_overlap=100) -> Option B

4. Quick Check:

   Correct class and parameters = CodeAwareTextSplitter(chunk_size=1000, chunk_overlap=100) [OK]

Hint: Look for exact class and parameter names [OK]

Common Mistakes:

• Using wrong class names like CodeSplitter
• Using incorrect parameter names like overlap
• Confusing with generic TextSplitter

3. Given the following code snippet using langchain's CodeAwareTextSplitter:

splitter = CodeAwareTextSplitter(chunk_size=50, chunk_overlap=10)
text = '''def add(a, b):\n    return a + b\n\nprint(add(2, 3))'''
chunks = splitter.split_texts([text])
print(len(chunks))

What will be the output?

medium

A. 1

B. 2

C. 3

D. 4

Solution

1. Step 1: Understand chunk size and overlap

   The chunk size is 50 characters, overlap 10 characters, so text splits into chunks of about 50 chars with 10 chars repeated.

2. Step 2: Analyze the text length and splitting

   The text has 49 characters including the '\n' sequences. It will split into 1 chunk because 49 <= 50.

3. Final Answer:

   1 -> Option A

4. Quick Check:

   Text length <= chunk_size, so splits into 1 chunk [OK]

Hint: Compare text length to chunk size to estimate chunks [OK]

Common Mistakes:

• Assuming only 1 chunk regardless of size
• Ignoring chunk overlap effect
• Counting lines instead of characters

4. You wrote this code to split Python code using langchain's CodeAwareTextSplitter:

splitter = CodeAwareTextSplitter(chunk_size=40, chunk_overlap=5)
text = 'def foo():\n    print("Hello")\n    return 42'
chunks = splitter.split_text(text)
print(chunks)

But you get an error: AttributeError: 'CodeAwareTextSplitter' object has no attribute 'split_text'. What is the likely cause?

medium

A. CodeAwareTextSplitter does not support Python code

B. The chunk_size value is too small

C. The method name should be split_documents instead of split_text

D. The text variable is not a list

Solution

1. Step 1: Check method names in CodeAwareTextSplitter

   The correct method to split text is split_documents or split_texts, not split_text.

2. Step 2: Confirm method usage

   Using split_text causes AttributeError because it does not exist.

3. Final Answer:

   The method name should be split_documents instead of split_text -> Option C

4. Quick Check:

   Method name mismatch causes AttributeError [OK]

Hint: Check exact method names in docs or autocomplete [OK]

Common Mistakes:

• Using wrong method name
• Assuming chunk_size causes error
• Passing string instead of list without checking method

5. You want to split a large Python script into chunks for analysis, but you must ensure no code block is broken and each chunk overlaps by 20 characters. Which approach using langchain's CodeAwareTextSplitter is best?

hard

A. Set chunk_size to 500 and chunk_overlap to 20, then call split_documents on the script wrapped as a Document

B. Set chunk_size to 20 and chunk_overlap to 500, then call split_text on the raw string

C. Use TextSplitter with chunk_size=500 and chunk_overlap=20 on the script string

D. Split the script manually by lines and ignore chunk_overlap

Solution

1. Step 1: Choose correct splitter and parameters

   Use CodeAwareTextSplitter to avoid breaking code blocks, with chunk_size=500 and chunk_overlap=20 for desired chunk size and overlap.

2. Step 2: Use correct input and method

   Wrap the script as a Document and call split_documents to get properly split chunks.

3. Final Answer:

   Set chunk_size to 500 and chunk_overlap to 20, then call split_documents on the script wrapped as a Document -> Option A

4. Quick Check:

   Use CodeAwareTextSplitter + split_documents + proper chunk sizes [OK]

Hint: Use CodeAwareTextSplitter with Documents and split_documents method [OK]

Common Mistakes:

• Using wrong method like split_text
• Setting chunk_overlap larger than chunk_size
• Using generic TextSplitter instead of code-aware