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Add countZero.py to count the number of zeros in an integer array#125

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x0lg0n merged 1 commit intox0lg0n:mainfrom
janvi100104:feature/python
Oct 27, 2025
Merged

Add countZero.py to count the number of zeros in an integer array#125
x0lg0n merged 1 commit intox0lg0n:mainfrom
janvi100104:feature/python

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@janvi100104 janvi100104 commented Oct 27, 2025

Summary by Sourcery

Add a standalone Python script countZero.py to parse integer arrays from stdin and print the number of zero elements, with a self-test demo on invalid or missing input.

New Features:

  • Define count_zeros to count zero values in an iterable of integers
  • Create parse_input to read and normalize integer input from stdin, optionally skipping a leading length token
  • Implement a CLI in main() that handles parsing, runs a demo if no input is provided, and outputs the zero count

Summary by CodeRabbit

  • New Features
    • Added a new utility for counting zero values in numeric data.
    • Includes input parsing capabilities with validation logic.
    • Provides demo functionality for testing without external input.

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sourcery-ai bot commented Oct 27, 2025

Reviewer's Guide

Introduces a standalone Python script countZero.py that provides a count_zeros utility, robust input parsing (with optional leading length token), a CLI entrypoint with error handling and a self-test fallback when no valid input is supplied.

Sequence diagram for CLI execution and self-test fallback

sequenceDiagram
    actor User
    participant "main()"
    participant "parse_input()"
    participant "count_zeros()"
    User->>"main()": Run script (stdin input)
    "main()"->>"parse_input()": Parse stdin
    alt Valid input
        "main()"->>"count_zeros()": Count zeros in input array
        "count_zeros()"-->>"main()": Return zero count
        "main()"->>User: Print zero count
    else Invalid/no input
        "main()"->>User: Print error or demo message
        "main()"->>"count_zeros()": Count zeros in demo array
        "count_zeros()"-->>"main()": Return zero count
        "main()"->>User: Print demo zero count
    end
Loading

Class diagram for countZero.py functions

classDiagram
    class count_zeros {
        +int count_zeros(iterable: Iterable[int])
    }
    class parse_input {
        +list parse_input(stream)
    }
    class main {
        +int main()
    }
    count_zeros <.. main : uses
    parse_input <.. main : uses
Loading

File-Level Changes

Change Details Files
Implement zero-counting utility
  • Define count_zeros function to iterate through values and tally zeros
Python/countZero.py
Implement input parsing logic
  • Read and split stdin tokens
  • Convert tokens to integers, raising on invalid data
  • Ignore a leading count token if it matches the number of remaining values
Python/countZero.py
Add CLI entrypoint with error handling and demo self-test
  • Encapsulate execution flow in main()
  • Handle parsing errors and return appropriate exit code
  • Trigger a built-in demo array when input is empty
  • Print zero counts and exit via SystemExit(main())
Python/countZero.py

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coderabbitai bot commented Oct 27, 2025

Walkthrough

A new Python script countZero.py is added with three functions: count_zeros() counts zero elements in an iterable, parse_input() reads and parses tokens with conditional logic based on token count, and main() orchestrates input parsing and zero counting with fallback demo behavior.

Changes

Cohort / File(s) Summary
New script
Python/countZero.py
Adds count_zeros(), parse_input(), and main() functions. Implements zero-counting logic with input parsing that validates token counts and provides demo behavior when no valid input is provided.

Estimated code review effort

🎯 2 (Simple) | ⏱️ ~8 minutes

  • parse_input() conditional logic: verify token count validation and list return behavior
  • main() error handling: confirm exit code 1 on parsing failure and demo fallback logic
  • Function signatures and type hints: validate against Iterable usage and return types

Poem

🐰 A script hops in, counting zeros with care,
Parse input, check counts, demo when air,
Simple and neat, from main's guard so bright,
Zero by zero, the logic feels right! ✨

Pre-merge checks and finishing touches

❌ Failed checks (1 warning)
Check name Status Explanation Resolution
Docstring Coverage ⚠️ Warning Docstring coverage is 66.67% which is insufficient. The required threshold is 80.00%. You can run @coderabbitai generate docstrings to improve docstring coverage.
✅ Passed checks (2 passed)
Check name Status Explanation
Description Check ✅ Passed Check skipped - CodeRabbit’s high-level summary is enabled.
Title Check ✅ Passed The pull request title "Add countZero.py to count the number of zeros in an integer array" is fully related to the main change in the changeset. The raw summary confirms that the PR adds a new Python script (countZero.py) implementing functions to count elements equal to zero in an integer array. The title is concise, specific, and clearly communicates the primary change without vague language or unnecessary noise. A teammate reviewing the commit history would immediately understand that this PR adds functionality for counting zeros in arrays.
✨ Finishing touches
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🧪 Generate unit tests (beta)
  • Create PR with unit tests
  • Post copyable unit tests in a comment

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PR Compliance Guide 🔍

Below is a summary of compliance checks for this PR:

Security Compliance
Error output to stdout

Description: Printing parse error messages to stdout may leak details or break expected stdout-only
numeric output; prefer stderr for errors to avoid information leakage and output
confusion.
countZero.py [60-61]

Referred Code
print("Error: failed to parse input. Expected integers.")
return 1
Ticket Compliance
🎫 No ticket provided
  • Create ticket/issue
Codebase Duplication Compliance
Codebase context is not defined

Follow the guide to enable codebase context checks.

Custom Compliance
🟢
Generic: Meaningful Naming and Self-Documenting Code

Objective: Ensure all identifiers clearly express their purpose and intent, making code
self-documenting

Status: Passed

Generic: Secure Error Handling

Objective: To prevent the leakage of sensitive system information through error messages while
providing sufficient detail for internal debugging.

Status: Passed

Generic: Secure Logging Practices

Objective: To ensure logs are useful for debugging and auditing without exposing sensitive
information like PII, PHI, or cardholder data.

Status: Passed

Generic: Comprehensive Audit Trails

Objective: To create a detailed and reliable record of critical system actions for security analysis
and compliance.

Status:
No audit logs: The new code performs input parsing and outputs results without any audit logging of
critical actions, though it may not require audit trails given the utility’s simple scope.

Referred Code
def main() -> int:
	try:
		arr = parse_input(sys.stdin)
	except Exception:
		print("Error: failed to parse input. Expected integers.")
		return 1

	if not arr:
		# self-test / demo
		demo = [0, 1, 0, 2, 0, 3]
		print("No input detected — running demo array:", demo)
		print("Zero count:", count_zeros(demo))
		return 0

	print(count_zeros(arr))
	return 0
Generic: Robust Error Handling and Edge Case Management

Objective: Ensure comprehensive error handling that provides meaningful context and graceful
degradation

Status:
Broad exception: The code catches a broad Exception during input parsing and prints a generic message
without including actionable context or logging, which may hinder debugging and misses
validation for excessively large inputs.

Referred Code
try:
	arr = parse_input(sys.stdin)
except Exception:
	print("Error: failed to parse input. Expected integers.")
	return 1
Generic: Security-First Input Validation and Data Handling

Objective: Ensure all data inputs are validated, sanitized, and handled securely to prevent
vulnerabilities

Status:
Input validation gaps: The parser accepts arbitrary-length integer input from stdin without bounds checking or
resource limits and silently treats a leading count as optional, which may be acceptable
for a simple utility but lacks explicit validation controls.

Referred Code
def parse_input(stream) -> list:
	"""Parse input from a stream and return a list of integers.

	Expected: first token may be n (ignored if present), remaining tokens are treated as numbers.
	"""
	data = stream.read().strip().split()
	if not data:
		return []
	# If first token looks like the count and matches remaining length, skip it
	try:
		nums = [int(tok) for tok in data]
	except ValueError:
		raise

	if len(nums) >= 2 and nums[0] == len(nums) - 1:
		return nums[1:]
	# Otherwise return all tokens
	return nums
Compliance status legend 🟢 - Fully Compliant
🟡 - Partial Compliant
🔴 - Not Compliant
⚪ - Requires Further Human Verification
🏷️ - Compliance label

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Hey there - I've reviewed your changes and they look great!

Prompt for AI Agents
Please address the comments from this code review:

## Individual Comments

### Comment 1
<location> `Python/countZero.py:36` </location>
<code_context>
+	return c
+
+
+def parse_input(stream) -> list:
+	"""Parse input from a stream and return a list of integers.
+
</code_context>

<issue_to_address>
**suggestion:** Consider specifying a more precise return type than 'list'.

Annotating the return type as 'list[int]' will make the function's output clearer and assist static analysis tools in detecting type issues.

```suggestion
def parse_input(stream) -> list[int]:
```
</issue_to_address>

### Comment 2
<location> `Python/countZero.py:20` </location>
<code_context>
+import sys
+
+
+def count_zeros(iterable: Iterable[int]) -> int:
+	"""Return the number of zeros in the given iterable of integers.
+
</code_context>

<issue_to_address>
**issue (complexity):** Consider simplifying the code by merging input parsing and zero counting into the main function using Python built-ins.

```suggestion
You can collapse `parse_input` and `count_zeros` into just a few lines in `main`, leveraging Python built-ins and removing the custom loop / error branches:

```python
def main() -> int:
    tokens = sys.stdin.read().split()
    if not tokens:
        demo = [0, 1, 0, 2, 0, 3]
        print("No input detected — running demo array:", demo)
        print("Zero count:", demo.count(0))
        return 0

    # parse ints, drop leading “count” if it matches remaining length
    nums = list(map(int, tokens))
    if len(nums) > 1 and nums[0] == len(nums) - 1:
        nums = nums[1:]

    print(nums.count(0))
    return 0
```

This:
- Eliminates the separate `parse_input` + exception handling (the `map(int,…)` will raise if invalid).
- Removes the manual `for`-loop in `count_zeros` in favor of `.count(0)`.
- Keeps the demo fallback intact.
```
</issue_to_address>

### Comment 3
<location> `Python/countZero.py:29-33` </location>
<code_context>
def count_zeros(iterable: Iterable[int]) -> int:
	"""Return the number of zeros in the given iterable of integers.

	Args:
		iterable: An iterable of integers.

	Returns:
		The count of values equal to 0.
	"""
	c = 0
	for x in iterable:
		if x == 0:
			c += 1
	return c

</code_context>

<issue_to_address>
**suggestion (code-quality):** We've found these issues:

- Convert for loop into call to sum() ([`sum-comprehension`](https://docs.sourcery.ai/Reference/Default-Rules/refactorings/sum-comprehension/))
- Inline variable that is immediately returned ([`inline-immediately-returned-variable`](https://docs.sourcery.ai/Reference/Default-Rules/refactorings/inline-immediately-returned-variable/))

```suggestion
	return sum(1 for x in iterable if x == 0)
```
</issue_to_address>

### Comment 4
<location> `Python/countZero.py:50-53` </location>
<code_context>
def parse_input(stream) -> list:
	"""Parse input from a stream and return a list of integers.

	Expected: first token may be n (ignored if present), remaining tokens are treated as numbers.
	"""
	data = stream.read().strip().split()
	if not data:
		return []
	# If first token looks like the count and matches remaining length, skip it
	try:
		nums = [int(tok) for tok in data]
	except ValueError:
		raise

	if len(nums) >= 2 and nums[0] == len(nums) - 1:
		return nums[1:]
	# Otherwise return all tokens
	return nums

</code_context>

<issue_to_address>
**suggestion (code-quality):** We've found these issues:

- Lift code into else after jump in control flow ([`reintroduce-else`](https://docs.sourcery.ai/Reference/Default-Rules/refactorings/reintroduce-else/))
- Replace if statement with if expression ([`assign-if-exp`](https://docs.sourcery.ai/Reference/Default-Rules/refactorings/assign-if-exp/))

```suggestion
	return nums[1:] if len(nums) >= 2 and nums[0] == len(nums) - 1 else nums
```
</issue_to_address>

Sourcery is free for open source - if you like our reviews please consider sharing them ✨
Help me be more useful! Please click 👍 or 👎 on each comment and I'll use the feedback to improve your reviews.

return c


def parse_input(stream) -> list:
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suggestion: Consider specifying a more precise return type than 'list'.

Annotating the return type as 'list[int]' will make the function's output clearer and assist static analysis tools in detecting type issues.

Suggested change
def parse_input(stream) -> list:
def parse_input(stream) -> list[int]:

import sys


def count_zeros(iterable: Iterable[int]) -> int:
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issue (complexity): Consider simplifying the code by merging input parsing and zero counting into the main function using Python built-ins.

Suggested change
def count_zeros(iterable: Iterable[int]) -> int:
You can collapse `parse_input` and `count_zeros` into just a few lines in `main`, leveraging Python built-ins and removing the custom loop / error branches:
```python
def main() -> int:
tokens = sys.stdin.read().split()
if not tokens:
demo = [0, 1, 0, 2, 0, 3]
print("No input detected — running demo array:", demo)
print("Zero count:", demo.count(0))
return 0
# parse ints, drop leading “count” if it matches remaining length
nums = list(map(int, tokens))
if len(nums) > 1 and nums[0] == len(nums) - 1:
nums = nums[1:]
print(nums.count(0))
return 0

This:

  • Eliminates the separate parse_input + exception handling (the map(int,…) will raise if invalid).
  • Removes the manual for-loop in count_zeros in favor of .count(0).
  • Keeps the demo fallback intact.

Comment on lines +29 to +33
c = 0
for x in iterable:
if x == 0:
c += 1
return c
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suggestion (code-quality): We've found these issues:

Suggested change
c = 0
for x in iterable:
if x == 0:
c += 1
return c
return sum(1 for x in iterable if x == 0)

Comment on lines +50 to +53
if len(nums) >= 2 and nums[0] == len(nums) - 1:
return nums[1:]
# Otherwise return all tokens
return nums
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suggestion (code-quality): We've found these issues:

Suggested change
if len(nums) >= 2 and nums[0] == len(nums) - 1:
return nums[1:]
# Otherwise return all tokens
return nums
return nums[1:] if len(nums) >= 2 and nums[0] == len(nums) - 1 else nums

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PR Code Suggestions ✨

Explore these optional code suggestions:

CategorySuggestion                                                                                                                                    Impact
High-level
Consider using built-in Python functionality

The count_zeros function is redundant and should be replaced with the built-in
list.count(0) method. This simplifies the code and follows Python best
practices.

Examples:

Python/countZero.py [20-33]
def count_zeros(iterable: Iterable[int]) -> int:
	"""Return the number of zeros in the given iterable of integers.

	Args:
		iterable: An iterable of integers.

	Returns:
		The count of values equal to 0.
	"""
	c = 0

 ... (clipped 4 lines)

Solution Walkthrough:

Before:

def count_zeros(iterable: Iterable[int]) -> int:
	c = 0
	for x in iterable:
		if x == 0:
			c += 1
	return c

def main():
    # ...
    arr = parse_input(sys.stdin)
    # ...
    print(count_zeros(arr))

After:

# The count_zeros function is removed.

def main():
    # ...
    arr = parse_input(sys.stdin) # this returns a list
    # ...
    print(arr.count(0))
Suggestion importance[1-10]: 8

__

Why: The suggestion correctly identifies that the count_zeros function reinvents a built-in Python feature, making the proposed implementation unnecessarily verbose and less idiomatic.

Medium
Possible issue
Fix ambiguous array count parsing

Fix the ambiguous input parsing logic that may incorrectly strip the first
element of an array if it matches the length of the remaining elements.

Python/countZero.py [50-53]

-	if len(nums) >= 2 and nums[0] == len(nums) - 1:
-		return nums[1:]
-	# Otherwise return all tokens
+	if len(data) >= 2:
+		try:
+			n = int(data[0])
+			# If the first token is a valid count for the rest of the data
+			if n == len(data) - 1:
+				# Return only the numbers, which are already converted in `nums`
+				return nums[1:]
+		except ValueError:
+			# First token is not an integer, so it can't be a count.
+			# The full list of nums has already been parsed, so we can just return it.
+			pass
+
+	# If the first token is not a count, return all parsed numbers
 	return nums
  • Apply / Chat
Suggestion importance[1-10]: 7

__

Why: The suggestion correctly identifies a significant ambiguity in the input parsing logic where a data value could be misinterpreted as a count, but the proposed improved_code does not fix the issue and is functionally identical to the existing code.

Medium
General
Use a more idiomatic approach

Refactor the count_zeros function to use sum() with a generator expression for a
more concise and idiomatic way to count elements.

Python/countZero.py [29-33]

-	c = 0
-	for x in iterable:
-		if x == 0:
-			c += 1
-	return c
+	return sum(1 for x in iterable if x == 0)
  • Apply / Chat
Suggestion importance[1-10]: 5

__

Why: The suggestion proposes a more concise and idiomatic Python implementation using sum() with a generator, which improves readability and is a good practice for this kind of operation.

Low
  • More

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Actionable comments posted: 1

🧹 Nitpick comments (2)
Python/countZero.py (2)

20-33: Consider a more Pythonic implementation.

The manual counter loop is correct but can be simplified using sum() with a generator expression for improved readability.

Apply this diff to refactor the function:

 def count_zeros(iterable: Iterable[int]) -> int:
 	"""Return the number of zeros in the given iterable of integers.
 
 	Args:
 		iterable: An iterable of integers.
 
 	Returns:
 		The count of values equal to 0.
 	"""
-	c = 0
-	for x in iterable:
-		if x == 0:
-			c += 1
-	return c
+	return sum(1 for x in iterable if x == 0)

56-71: Use specific exception handling.

Catching the broad Exception type can mask unexpected errors and make debugging more difficult. Since parse_input raises ValueError for parsing failures, catch that specific exception instead.

As per static analysis hints.

Apply this diff to use specific exception handling:

 def main() -> int:
 	try:
 		arr = parse_input(sys.stdin)
-	except Exception:
+	except ValueError:
 		print("Error: failed to parse input. Expected integers.")
 		return 1
📜 Review details

Configuration used: CodeRabbit UI

Review profile: CHILL

Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 220d1e0 and cd6b3e8.

📒 Files selected for processing (1)
  • Python/countZero.py (1 hunks)
🧰 Additional context used
🪛 Ruff (0.14.1)
Python/countZero.py

47-48: Remove exception handler; error is immediately re-raised

(TRY203)


59-59: Do not catch blind exception: Exception

(BLE001)

⏰ Context from checks skipped due to timeout of 90000ms. You can increase the timeout in your CodeRabbit configuration to a maximum of 15 minutes (900000ms). (1)
  • GitHub Check: Sourcery review
🔇 Additional comments (1)
Python/countZero.py (1)

1-18: Excellent documentation!

The module docstring clearly explains the purpose, input format, and fallback behavior. The imports are minimal and appropriate.

@x0lg0n x0lg0n self-assigned this Oct 27, 2025
@x0lg0n x0lg0n merged commit 70198e3 into x0lg0n:main Oct 27, 2025
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