| 模型 | 模型答案 | 测试结果 |
|---|---|---|
| 金声玉亮2.0 | To complete the function `numerical_letter_grade` that converts GPAs to letter grades based on the provided table, you can use a series of conditionals to determine the corresponding letter grade for each GPA in the input list. Here's the complete code: ```python def numerical_letter_grade(grades): """It is the last week of the semester and the teacher has to give the grades to students. The teacher has been making her own algorithm for grading. The only problem is, she has lost the code she used for grading. She has given you a list of GPAs for some students and you have to write a function that can output a list of letter grades using the following table: GPA | Letter grade 4.0 A+ > 3.7 A > 3.3 A- > 3.0 B+ > 2.7 B > 2.3 B- > 2.0 C+ > 1.7 C > 1.3 C- > 1.0 D+ > 0.7 D > 0.0 D- 0.0 E Example: grade_equation([4.0, 3, 1.7, 2, 3.5]) ==> ['A+', 'B', 'C-', 'C', 'A-'] """ letter_grades = [] for grade in grades: if grade == 4.0: letter_grades.append('A+') elif grade > 3.7: letter_grades.append('A') elif grade > 3.3: letter_grades.append('A-') elif grade > 3.0: letter_grades.append('B+') elif grade > 2.7: letter_grades.append('B') elif grade > 2.3: letter_grades.append('B-') elif grade > 2.0: letter_grades.append('C+') elif grade > 1.7: letter_grades.append('C') elif grade > 1.3: letter_grades.append('C-') elif grade > 1.0: letter_grades.append('D+') elif grade > 0.7: letter_grades.append('D') elif grade > 0.0: letter_grades.append('D-') elif grade == 0.0: letter_grades.append('E') else: letter_grades.append('Invalid GPA') return letter_grades # Test the function with an example print(numerical_letter_grade([4.0, 3, 1.7, 2, 3.5])) ``` This function iterates over each GPA in the input list, checks which condition it meets, and appends the corresponding letter grade to the `letter_grades` list. Finally, it returns the list of letter grades. The example test case provided should output `['A+', 'B', 'C-', 'C', 'A-']`. |
passed |
| deepseekr1 | To solve this problem, we need to convert a list of GPAs into corresponding letter grades based on a specific grading table. The grading table defines ranges of GPAs and their corresponding letter grades, starting from 4.0 (A+) down to 0.0 (E). ### Approach 1. **Special Case Handling**: If a GPA is exactly 4.0, it directly maps to 'A+'. 2. **Threshold Checking**: For GPAs other than 4.0, we check against a series of thresholds in descending order. Each threshold specifies a minimum GPA value (exclusive) and its corresponding letter grade. 3. **Fallback for 0.0**: If a GPA does not meet any of the thresholds and is exactly 0.0, it maps to 'E'. ### Solution Code ```python def numerical_letter_grade(grades): thresholds = [ (3.7, 'A'), (3.3, 'A-'), (3.0, 'B+'), (2.7, 'B'), (2.3, 'B-'), (2.0, 'C+'), (1.7, 'C'), (1.3, 'C-'), (1.0, 'D+'), (0.7, 'D'), (0.0, 'D-') ] result = [] for gpa in grades: if gpa == 4.0: result.append('A+') continue for thresh, letter in thresholds: if gpa > thresh: result.append(letter) break else: result.append('E') return result ``` ### Explanation 1. **Special Case Handling**: The code first checks if the GPA is exactly 4.0 and appends 'A+' immediately if true. 2. **Threshold Checking Loop**: For each GPA, the code iterates through a list of tuples where each tuple contains a threshold value and the corresponding letter grade. If the GPA exceeds the threshold, the corresponding letter grade is appended, and the loop breaks. 3. **Fallback for 0.0**: If none of the thresholds are met (i.e., the GPA is 0.0 or less), the code appends 'E' as the letter grade. This approach efficiently checks each GPA against the thresholds in descending order, ensuring the correct letter grade is assigned based on the highest applicable threshold. The use of a for-else loop structure ensures that the fallback grade 'E' is correctly assigned when no thresholds are met. |
passed |
| gpto1 | To complete the Python function `numerical_letter_grade(grades)`, we'll implement the grading logic as specified in the table. We'll iterate over each GPA in the input list, determine the corresponding letter grade based on the GPA ranges, and collect the letter grades in a new list to return. Here's the completed function: ```python def numerical_letter_grade(grades): """It is the last week of the semester and the teacher has to give the grades to students. The teacher has been making her own algorithm for grading. The only problem is, she has lost the code she used for grading. She has given you a list of GPAs for some students and you have to write a function that can output a list of letter grades using the following table: GPA | Letter grade 4.0 A+ > 3.7 A > 3.3 A- > 3.0 B+ > 2.7 B > 2.3 B- > 2.0 C+ > 1.7 C > 1.3 C- > 1.0 D+ > 0.7 D > 0.0 D- 0.0 E Example: grade_equation([4.0, 3, 1.7, 2, 3.5]) ==> ['A+', 'B', 'C-', 'C', 'A-'] """ letter_grades = [] for gpa in grades: if gpa == 4.0: letter = 'A+' elif gpa > 3.7: letter = 'A' elif gpa > 3.3: letter = 'A-' elif gpa > 3.0: letter = 'B+' elif gpa > 2.7: letter = 'B' elif gpa > 2.3: letter = 'B-' elif gpa > 2.0: letter = 'C+' elif gpa > 1.7: letter = 'C' elif gpa > 1.3: letter = 'C-' elif gpa > 1.0: letter = 'D+' elif gpa > 0.7: letter = 'D' elif gpa > 0.0: letter = 'D-' else: letter = 'E' letter_grades.append(letter) return letter_grades ``` **Example Usage:** ```python grades = [4.0, 3, 1.7, 2, 3.5] print(numerical_letter_grade(grades)) # Output: ['A+', 'B', 'C-', 'C', 'A-'] ``` This function will correctly convert a list of GPAs into their corresponding letter grades based on the provided grading scale. |
passed |
| GPT-4o | Certainly! Here is the complete implementation of the `numerical_letter_grade` function: ```python def numerical_letter_grade(grades): """It is the last week of the semester and the teacher has to give the grades to students. The teacher has been making her own algorithm for grading. The only problem is, she has lost the code she used for grading. She has given you a list of GPAs for some students and you have to write a function that can output a list of letter grades using the following table: GPA | Letter grade 4.0 A+ > 3.7 A > 3.3 A- > 3.0 B+ > 2.7 B > 2.3 B- > 2.0 C+ > 1.7 C > 1.3 C- > 1.0 D+ > 0.7 D > 0.0 D- 0.0 E Example: grade_equation([4.0, 3, 1.7, 2, 3.5]) ==> ['A+', 'B', 'C-', 'C', 'A-'] """ letter_grades = [] for gpa in grades: if gpa == 4.0: letter_grades.append('A+') elif gpa > 3.7: letter_grades.append('A') elif gpa > 3.3: letter_grades.append('A-') elif gpa > 3.0: letter_grades.append('B+') elif gpa > 2.7: letter_grades.append('B') elif gpa > 2.3: letter_grades.append('B-') elif gpa > 2.0: letter_grades.append('C+') elif gpa > 1.7: letter_grades.append('C') elif gpa > 1.3: letter_grades.append('C-') elif gpa > 1.0: letter_grades.append('D+') elif gpa > 0.7: letter_grades.append('D') elif gpa > 0.0 |
failed: invalid syntax (<string>, line 27) |
| llama3.1-70B-Instruct | def numerical_letter_grade(grades): """It is the last week of the semester and the teacher has to give the grades to students. The teacher has been making her own algorithm for grading. The only problem is, she has lost the code she used for grading. She has given you a list of GPAs for some students and you have to write a function that can output a list of letter grades using the following table: GPA | Letter grade 4.0 A+ > 3.7 A > 3.3 A- > 3.0 B+ > 2.7 B > 2.3 B- > 2.0 C+ > 1.7 C > 1.3 C- > 1.0 D+ > 0.7 D > 0.0 D- 0.0 E Example: grade_equation([4.0, 3, 1.7, 2, 3.5]) ==> ['A+', 'B', 'C-', 'C', 'A-'] """ letter_grades = [] for grade in grades: if grade == 4.0: letter_grades.append('A+') elif grade > 3.7: letter_grades.append('A') elif grade > 3.3: letter_grades.append('A-') elif grade > 3.0: letter_grades.append('B+') elif grade > 2.7: letter_grades.append('B') elif grade > 2.3: letter_grades.append('B-') elif grade > 2.0: letter_grades.append('C+') elif grade > 1.7: letter_grades.append('C') elif grade > 1.3: letter_grades.append('C-') elif grade > 1.0: letter_grades.append('D+') elif grade > 0.7: letter_grades.append('D') elif grade > 0.0: letter_grades.append('D-') else: letter_grades.append('E') return letter_grades |
passed |
| llama3.1-405B-Instruct | Here is the Python code that implements the grading algorithm: ``` def numerical_letter_grade(grades): """ Convert a list of GPAs to letter grades based on the provided table. Args: grades (list): A list of GPAs Returns: list: A list of letter grades """ grade_table = [ (4.0, 'A+'), (3.7, 'A'), (3.3, 'A-'), (3.0, 'B+'), (2.7, 'B'), (2.3, 'B-'), (2.0, 'C+'), (1.7, 'C'), (1.3, 'C-'), (1.0, 'D+'), (0.7, 'D'), (0.0, 'D-'), (-float('inf'), 'E') # catch |
failed: invalid syntax (<string>, line 29) |
| DeepSeek-Coder-V2 | Here's the completed Python function that converts a list of GPAs to their corresponding letter grades based on the provided grading table: ```python def numerical_letter_grade(grades): """ Converts a list of GPAs to their corresponding letter grades based on the provided grading table. Args: grades (list): A list of GPAs. Returns: list: A list of letter grades corresponding to the input GPAs. """ letter_grades = [] for gpa in grades: if gpa == 4.0: letter_grades.append('A+') elif gpa > 3.7: letter_grades.append('A') elif gpa > 3.3: letter_grades.append('A-') elif gpa > 3.0: letter_grades.append('B+') elif gpa > 2.7: letter_grades.append('B') elif gpa > 2.3: letter_grades.append('B-') elif gpa > 2.0: letter_grades.append('C+') elif gpa > 1.7: letter_grades.append('C') elif gpa > 1.3: letter_grades.append('C-') elif gpa > 1.0: letter_grades.append('D+') elif gpa > 0.7: letter_grades.append('D') elif gpa > 0.0: letter_grades.append('D-') elif gpa == 0.0: letter_grades.append('E') else: letter_grades.append('Invalid GPA') return letter_grades # Example usage: print(numerical_letter_grade([4.0, 3, 1.7, 2, 3.5])) # Output: ['A+', 'B', 'C-', 'C', 'A-'] ``` This function iterates through each GPA in the input list and appends the corresponding letter grade to the `letter_grades` list based on the provided grading table. The function then returns the list of letter grades. |
passed |
| Qwen2-72B-Instruct | Here is the python function that completes your request: ```python def numerical_letter_grade(grades): letter_grades = [] for gpa in grades: if gpa == 4.0: letter_grades.append('A+') elif gpa > 3.7: letter_grades.append('A') elif gpa > 3.3: letter_grades.append('A-') elif gpa > 3.0: letter_grades.append('B+') elif gpa > 2.7: letter_grades.append('B') elif gpa > 2.3: letter_grades.append('B-') elif gpa > 2.0: letter_grades.append('C+') elif gpa > 1.7: letter_grades.append('C') elif gpa > 1.3: letter_grades.append('C-') elif gpa > 1.0: letter_grades.append('D+') elif gpa > 0.7: letter_grades.append('D') elif gpa > 0.0: letter_grades.append('D-') else: letter_grades.append('E') return letter_grades ``` You can test the function with the provided example: ```python print(numerical_letter_grade([4.0, 3, 1.7, 2, 3.5])) # ['A+', 'B', 'C-', 'C', 'A-'] ``` |
passed |
| baichuan4 | Here's the completed Python function based on the requirements specified in the problem description: ```python def numerical_letter_grade(grades): """Convert a list of numerical GPAs to letter grades.""" # Define the GPA thresholds and corresponding letter grades in a dictionary gpa_thresholds = { 4.0: 'A+', 3.7: 'A', 3.3: 'A-', 3.0: 'B+', 2.7: 'B', 2.3: 'B-', 2.0: 'C+', 1.7: 'C', 1.3: 'C-', 1.0: 'D+', 0.7: 'D', 0.0: 'D-', -1: 'E', # Assuming negative GPAs are not possible, using -1 as a placeholder } # Initialize an empty list to store the letter grades letter_grades = [] # Iterate over each GPA in the input list for gpa in grades: # Determine the letter grade for the current GPA if gpa >= 4.0: letter_grade = 'A+' else: # Find the highest threshold that is less than the GPA and get the corresponding letter grade for threshold, letter_grade in gpa_thresholds.items(): if gpa > threshold: break # If GPA is below 0, assign 'E' if gpa < 0: letter_grade = 'E' # Append the determined letter grade to the list letter_grades.append(letter_grade) return letter_grades # Example usage: grades = [4.0, 3, 1.7, 2, 3.5] print(numerical_letter_grade(grades)) # Output: ['A+', 'B', 'C-', 'C', 'A-'] ``` This function takes a list of numerical GPAs as input and returns a list of letter grades according to the provided grading scale. It uses a dictionary to map GPA thresholds to their corresponding letter grades and iterates through the input list to determine the appropriate letter grade for each GPA. |
passed |
| doubao | Here's the completed Python code: ```python def numerical_letter_grade(grades): letter_grades = [] for grade in grades: if grade == 4.0: letter_grades.append('A+') elif grade > 3.7: letter_grades.append('A') elif grade > 3.3: letter_grades.append('A-') elif grade > 3.0: letter_grades.append('B+') elif grade > 2.7: letter_grades.append('B') elif grade > 2.3: letter_grades.append('B-') elif grade > 2.0: letter_grades.append('C+') elif grade > 1.7: letter_grades.append('C') elif grade > 1.3: letter_grades.append('C-') elif grade > 1.0: letter_grades.append('D+') elif grade > 0.7: letter_grades.append('D') elif grade > 0.0: letter_grades.append('D-') else: letter_grades.append('E') return letter_grades ``` ``` |
passed |
| minimax | Here's the completed Python function that will convert a list of GPAs into a list of letter grades based on the provided grading scale: ```python def numerical_letter_grade(grades): letter_grades = [] for gpa in grades: if gpa == 4.0: letter_grades.append('A+') elif gpa > 3.7: letter_grades.append('A') elif gpa > 3.3: letter_grades.append('A-') elif gpa > 3.0: letter_grades.append('B+') elif gpa > 2.7: letter_grades.append('B') elif gpa > 2.3: letter_grades.append('B-') elif gpa > 2.0: letter_grades.append('C+') elif gpa > 1.7: letter_grades.append('C') elif gpa > 1.3: letter_grades.append('C-') elif gpa > 1.0: letter_grades.append('D+') elif gpa > 0.7: letter_grades.append('D') elif gpa > 0.0: letter_grades.append('D-') else: letter_grades.append('E') return letter_grades # Example usage: print(numerical_letter_grade([4.0, 3, 1.7, 2, 3.5])) # Output: ['A+', 'B', 'C-', 'C', 'A-'] ``` This function iterates through each GPA in the input list and appends the corresponding letter grade to the `letter_grades` list based on the GPA ranges provided in the grading table. The function then returns the list of letter grades. |
passed |
| kimi | Certainly! Here's the completed Python function that maps GPAs to letter grades according to the provided table: ```python def numerical_letter_grade(grades): """ It is the last week of the semester and the teacher has to give the grades to students. The teacher has been making her own algorithm for grading. The only problem is, she has lost the code she used for grading. She has given you a list of GPAs for some students and you have to write a function that can output a list of letter grades using the following table: GPA | Letter grade 4.0 A+ > 3.7 A > 3.3 A- > 3.0 B+ > 2.7 B > 2.3 B- > 2.0 C+ > 1.7 C > 1.3 C- > 1.0 D+ > 0.7 D > 0.0 D- 0.0 E Example: grade_equation([4.0, 3, 1.7, 2, 3.5]) ==> ['A+', 'B', 'C-', 'C', 'A-'] """ letter_grades = [] for grade in grades: if grade >= 4.0: letter_grade = 'A+' elif grade > 3.7: letter_grade = 'A' elif grade > 3.3: letter_grade = 'A-' elif grade > 3.0: letter_grade = 'B+' elif grade > 2.7: letter_grade = 'B' elif grade > 2.3: letter_grade = 'B-' elif grade > 2.0: letter_grade = 'C+' elif grade > 1.7: letter_grade = 'C' elif grade > 1.3: letter_grade = 'C-' elif grade > 1.0: letter_grade = 'D+' elif grade > 0.7: letter_grade = 'D' elif grade > 0.0: letter_grade = 'D-' else: letter_grade = 'E' letter_grades.append(letter_grade) return letter_grades # Example usage: print(numerical_letter_grade([4.0, 3, 1.7, 2, 3.5])) ``` This function iterates through each GPA in the input list and assigns the corresponding letter grade based on the conditions specified in the table. It then appends the letter grade to the `letter_grades` list, which is returned at the end. |
passed |
| wenxinyiyan | Here's the completed Python code for the `numerical_letter_grade` function: ```python def numerical_letter_grade(grades): letter_grades = [] for gpa in grades: if gpa == 4.0: letter_grades.append('A+') elif gpa > 3.7: letter_grades.append('A') elif gpa > 3.3: letter_grades.append('A-') elif gpa > 3.0: letter_grades.append('B+') elif gpa > 2.7: letter_grades.append('B') elif gpa > 2.3: letter_grades.append('B-') elif gpa > 2.0: letter_grades.append('C+') elif gpa > 1.7: letter_grades.append('C') elif gpa > 1.3: letter_grades.append('C-') elif gpa > 1.0: letter_grades.append('D+') elif gpa > 0.7: letter_grades.append('D') elif gpa > 0.0: letter_grades.append('D-') else: # gpa == 0.0 letter_grades.append('E') return letter_grades ``` Now you can use the function to convert a list of GPAs to letter grades. For example: ```python grades = [4.0, 3, 1.7, 2, 3.5] letter_grades = numerical_letter_grade(grades) print(letter_grades) # Output: ['A+', 'B', 'C-', 'C', 'A-'] ``` |
passed |
| zhipu | To complete the function `numerical_letter_grade`, you need to map each GPA in the input list to its corresponding letter grade based on the provided table. Here's the complete Python code for the function: ```python def numerical_letter_grade(grades): def get_letter_grade(gpa): if gpa == 4.0: return 'A+' elif gpa > 3.7: return 'A' elif gpa > 3.3: return 'A-' elif gpa > 3.0: return 'B+' elif gpa > 2.7: return 'B' elif gpa > 2.3: return 'B-' elif gpa > 2.0: return 'C+' elif gpa > 1.7: return 'C' elif gpa > 1.3: return 'C-' elif gpa > 1.0: return 'D+' elif gpa > 0.7: return 'D' elif gpa > 0.0: return 'D-' else: return 'E' return [get_letter_grade(gpa) for gpa in grades] # Example usage: print(numerical_letter_grade([4.0, 3, 1.7, 2, 3.5])) # Output: ['A+', 'B', 'C-', 'C', 'A-'] ``` ### Explanation: 1. **Helper Function `get_letter_grade`**: - This function takes a single GPA and returns the corresponding letter grade based on the conditions specified in the table. - It uses a series of `if` and `elif` statements to check the GPA against the thresholds and return the appropriate letter grade. 2. **List Comprehension**: - The main function uses a list comprehension to apply the `get_letter_grade` function to each GPA in the input list `grades`. - This results in a new list where each GPA is replaced by its corresponding letter grade. ### Example Usage: - The example `print(numerical_letter_grade([4.0, 3, 1.7, 2, 3.5]))` demonstrates how the function can be used to convert a list of GPAs into a list of letter grades. This approach ensures that the code is both readable and efficient, making it easy to understand and maintain. |
passed |
| gpto1 | To complete the Python function `numerical_letter_grade(grades)`, we'll implement the grading logic as specified in the table. We'll iterate over each GPA in the input list, determine the corresponding letter grade based on the GPA ranges, and collect the letter grades in a new list to return. Here's the completed function: ```python def numerical_letter_grade(grades): """It is the last week of the semester and the teacher has to give the grades to students. The teacher has been making her own algorithm for grading. The only problem is, she has lost the code she used for grading. She has given you a list of GPAs for some students and you have to write a function that can output a list of letter grades using the following table: GPA | Letter grade 4.0 A+ > 3.7 A > 3.3 A- > 3.0 B+ > 2.7 B > 2.3 B- > 2.0 C+ > 1.7 C > 1.3 C- > 1.0 D+ > 0.7 D > 0.0 D- 0.0 E Example: grade_equation([4.0, 3, 1.7, 2, 3.5]) ==> ['A+', 'B', 'C-', 'C', 'A-'] """ letter_grades = [] for gpa in grades: if gpa == 4.0: letter = 'A+' elif gpa > 3.7: letter = 'A' elif gpa > 3.3: letter = 'A-' elif gpa > 3.0: letter = 'B+' elif gpa > 2.7: letter = 'B' elif gpa > 2.3: letter = 'B-' elif gpa > 2.0: letter = 'C+' elif gpa > 1.7: letter = 'C' elif gpa > 1.3: letter = 'C-' elif gpa > 1.0: letter = 'D+' elif gpa > 0.7: letter = 'D' elif gpa > 0.0: letter = 'D-' else: letter = 'E' letter_grades.append(letter) return letter_grades ``` **Example Usage:** ```python grades = [4.0, 3, 1.7, 2, 3.5] print(numerical_letter_grade(grades)) # Output: ['A+', 'B', 'C-', 'C', 'A-'] ``` This function will correctly convert a list of GPAs into their corresponding letter grades based on the provided grading scale. |
passed |
| deepseekv3 | server error: Error code: 400 - {'error': {'code': 'RequestTimeOut', 'param': None, 'message': 'Request timed out, please try again later.', 'type': 'RequestTimeOut'}, 'id': 'chatcmpl-e76f7ce6-9cc3-9b71-870e-1b429fa9177d', 'request_id': 'e76f7ce6-9cc3-9b71-870e-1b429fa9177d'} | failed: invalid syntax (<string>, line 27) |