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Merge pull request #1095 from gpt-engineer-org/improve-function-hot-f…
…ix-for-app-benchmark Improve function hot fix for app benchmark
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tests/core/improve_function_test_cases/apps_benchmark_6_chat
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To implement this program, we will follow a structured approach. We will create a Python script that takes command-line arguments for the inputs, parses them, and then processes each query to determine the minimum number of blows required to defeat Zmei Gorynich. The program will consist of a main function that handles input parsing and output formatting, and a separate function that calculates the minimum number of blows for each query. | ||
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We will need to: | ||
1. Parse the command-line arguments to extract the queries. | ||
2. For each query, calculate the minimum number of blows required. | ||
3. Print the result for each query. | ||
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Let's start by creating the `main.py` file with the necessary imports and the skeleton of our program. | ||
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```diff | ||
--- /dev/null | ||
+++ main.py | ||
@@ -0,0 +1,36 @@ | ||
+import sys | ||
+ | ||
+def calculate_min_blows(n, x, blows): | ||
+ """ | ||
+ Calculate the minimum number of blows to defeat Zmei Gorynich. | ||
+ :param n: Number of types of blows. | ||
+ :param x: Initial number of heads. | ||
+ :param blows: List of tuples (d_i, h_i) for each blow type. | ||
+ :return: Minimum number of blows or -1 if impossible. | ||
+ """ | ||
+ # Implementation will be added here | ||
+ pass | ||
+ | ||
+def main(): | ||
+ # Parse command-line arguments | ||
+ args = sys.argv[1].split() | ||
+ t = int(args[0]) | ||
+ queries = [] | ||
+ idx = 1 | ||
+ for _ in range(t): | ||
+ n, x = map(int, args[idx:idx+2]) | ||
+ idx += 2 | ||
+ blows = [tuple(map(int, args[idx:idx+2])) for _ in range(n)] | ||
+ idx += 2*n | ||
+ queries.append((n, x, blows)) | ||
+ | ||
+ # Process each query | ||
+ for n, x, blows in queries: | ||
+ result = calculate_min_blows(n, x, blows) | ||
+ print(result) | ||
+ | ||
+if __name__ == "__main__": | ||
+ main() | ||
``` | ||
Now, let's implement the logic in calculate_min_blows function to determine the minimum number of blows required to defeat Zmei Gorynich. | ||
```diff | ||
--- main.py | ||
+++ main.py | ||
@@ -8,7 +8,25 @@ | ||
+ # Implementation will be added here | ||
+ max_damage = max(blows, key=lambda x: x[0]) | ||
+ max_diff = max(blows, key=lambda x: x[0] - x[1]) | ||
+ if max_damage[0] >= x: | ||
+ return 1 | ||
+ if max_diff[0] <= max_diff[1] and max_damage[0] < x: | ||
+ return -1 | ||
+ effective_damage = max_diff[0] - max_diff[1] | ||
+ remaining_heads = x - max_damage[0] | ||
+ blows_required = 1 + (remaining_heads + effective_damage - 1) // effective_damage | ||
+ return blows_required | ||
- pass | ||
``` |
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tests/core/improve_function_test_cases/apps_benchmark_6_v2_chat
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```diff | ||
--- main.py | ||
+++ main.py | ||
@@ -8,7 +8,25 @@ | ||
+ # Implementation will be added here | ||
+ max_damage = max(blows, key=lambda x: x[0]) | ||
+ max_diff = max(blows, key=lambda x: x[0] - x[1]) | ||
+ if max_damage[0] >= x: | ||
+ return 1 | ||
+ if max_diff[0] <= max_diff[1] and max_damage[0] < x: | ||
+ return -1 | ||
+ effective_damage = max_diff[0] - max_diff[1] | ||
+ remaining_heads = x - max_damage[0] | ||
+ blows_required = 1 + (remaining_heads + effective_damage - 1) // effective_damage | ||
+ return blows_required | ||
- pass | ||
``` |
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tests/core/improve_function_test_cases/apps_benchmark_6_v2_code
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import sys | ||
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def calculate_min_blows(n, x, blows): | ||
""" | ||
Calculate the minimum number of blows to defeat Zmei Gorynich. | ||
:param n: Number of types of blows. | ||
:param x: Initial number of heads. | ||
:param blows: List of tuples (d_i, h_i) for each blow type. | ||
:return: Minimum number of blows or -1 if impossible. | ||
""" | ||
# Implementation will be added here | ||
pass | ||
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def main(): | ||
# Parse command-line arguments | ||
args = sys.argv[1].split() | ||
t = int(args[0]) | ||
queries = [] | ||
idx = 1 | ||
for _ in range(t): | ||
n, x = map(int, args[idx:idx+2]) | ||
idx += 2 | ||
blows = [tuple(map(int, args[idx:idx+2])) for _ in range(n)] | ||
idx += 2*n | ||
queries.append((n, x, blows)) | ||
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# Process each query | ||
for n, x, blows in queries: | ||
result = calculate_min_blows(n, x, blows) | ||
print(result) | ||
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if __name__ == "__main__": | ||
main()""" | ||
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print(code) |
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tests/core/improve_function_test_cases/create_two_new_files_chat
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To implement the requested functionality, we'll create a Python program that processes the input, evaluates the service history of a car, and outputs the appropriate message based on the criteria provided. We'll structure the program into several parts: | ||
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1. **Parsing Input**: A function to parse the input string into a structured format. | ||
2. **Service History Evaluation**: A class to evaluate the service history entries and determine the status of the odometer and service frequency. | ||
3. **Main Logic**: The main logic that ties everything together and outputs the final result. | ||
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Let's start by creating the necessary files and writing the initial code. | ||
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### File: requirements.txt | ||
This file will list the dependencies required for the project. Since the project does not require external libraries, this file will be empty but included for completeness. | ||
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```diff | ||
``` | ||
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### File: service_history_evaluator.py | ||
This file will contain the class responsible for evaluating the service history. | ||
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```diff | ||
--- /dev/null | ||
+++ service_history_evaluator.py | ||
@@ -0,0 +1,47 @@ | ||
+from datetime import datetime, timedelta | ||
+ | ||
+class ServiceHistoryEvaluator: | ||
+ """ | ||
+ Evaluates the service history of a car to determine if the odometer has been tampered with | ||
+ or if the service frequency is insufficient. | ||
+ """ | ||
+ def __init__(self, entries): | ||
+ self.entries = entries | ||
+ | ||
+ def evaluate(self): | ||
+ # Placeholder for the evaluation logic | ||
+ pass | ||
+ | ||
+ def _parse_date(self, year, month): | ||
+ """ | ||
+ Parses the year and month into a datetime object. | ||
+ """ | ||
+ return datetime(year, month, 1) | ||
+ | ||
+ def _calculate_distance(self, start, end): | ||
+ """ | ||
+ Calculates the minimum and maximum possible distance traveled between two services. | ||
+ """ | ||
+ months_diff = (end.year - start.year) * 12 + end.month - start.month | ||
+ min_distance = 2000 * months_diff | ||
+ max_distance = 20000 * months_diff | ||
+ return min_distance, max_distance | ||
+ | ||
+ def _check_odometer_rollover(self, prev_reading, current_reading, max_distance): | ||
+ """ | ||
+ Checks if the odometer could have rolled over between two readings. | ||
+ """ | ||
+ if prev_reading > current_reading: | ||
+ return current_reading + (99999 - prev_reading) <= max_distance | ||
+ else: | ||
+ return current_reading - prev_reading <= max_distance | ||
+ | ||
+ def _check_service_frequency(self): | ||
+ """ | ||
+ Checks if the service frequency is within the legal limits. | ||
+ """ | ||
+ # Placeholder for the service frequency check logic | ||
+ pass | ||
``` | ||
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### File: main.py | ||
This file will contain the main logic and the entry point of the program. | ||
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```diff | ||
--- /dev/null | ||
+++ main.py | ||
@@ -0,0 +1,29 @@ | ||
+import sys | ||
+from service_history_evaluator import ServiceHistoryEvaluator | ||
+ | ||
+def parse_input(input_str): | ||
+ """ | ||
+ Parses the input string into a structured format. | ||
+ """ | ||
+ lines = input_str.split('\n') | ||
+ num_entries = int(lines[0]) | ||
+ entries = [tuple(map(int, line.split())) for line in lines[1:num_entries+1]] | ||
+ return entries | ||
+ | ||
+def main(input_str): | ||
+ entries = parse_input(input_str) | ||
+ evaluator = ServiceHistoryEvaluator(entries) | ||
+ result = evaluator.evaluate() | ||
+ print(result) | ||
+ | ||
+if __name__ == "__main__": | ||
+ if len(sys.argv) != 2: | ||
+ print("Usage: python main.py 'input1 input2 etc'") | ||
+ sys.exit(1) | ||
+ input_str = sys.argv[1].replace("'", "") | ||
+ main(input_str) | ||
``` |
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