| 模型 | 模型答案 | 测试结果 |
|---|---|---|
| 金声玉亮2.0 | ```python import re def text_match_wordz(text): if re.search(r'\b\w*z\w*\b', text): return 'Found a match!' else: return 'Not matched!' ``` [DONE] |
pass 测试用例:assert text_match_wordz("pythonz.")==('Found a match!') assert text_match_wordz("xyz.")==('Found a match!') assert text_match_wordz(" lang .")==('Not matched!') |
| deepseekr1 | [BEGIN] def text_match_wordz(text): for word in text.split(): if 'z' in word: return 'Found a match!' return 'Not matched!' [DONE] |
pass 测试用例:assert text_match_wordz("pythonz.")==('Found a match!') assert text_match_wordz("xyz.")==('Found a match!') assert text_match_wordz(" lang .")==('Not matched!') |
| gpto1 | [BEGIN] 'def text_match_wordz(text): import re pattern = r"\b\w*z\w*\b" if re.search(pattern, text): return "Found a match!" else: return "Not matched!"' [DONE] |
pass 测试用例:assert text_match_wordz("pythonz.")==('Found a match!') assert text_match_wordz("xyz.")==('Found a match!') assert text_match_wordz(" lang .")==('Not matched!') |
| GPT-4o | To write a function that matches a word containing 'z', we can use regular expressions. The `re` module in Python is very useful for this purpose. Below is the implementation of the function: ```python import re def text_match_wordz(text): # Regular expression to match any word containing 'z' pattern = r'\b\w*z\w*\b' if re.search(pattern, text): return 'Found a match!' else: return 'Not matched!' ``` Let's ensure the code passes the provided tests: ```python # Test cases assert text_match_wordz("pythonz.") == 'Found a match!' assert text_match_wordz("xyz.") == 'Found a match!' assert text_match_wordz(" lang .") == 'Not matched!' ``` This function uses a regular expression to search for any word that contains the letter 'z'. The pattern `\b\w*z\w*\b` matches a word boundary, followed by any number of word characters (including zero), followed by 'z', followed by any number of word characters (including zero), and ending at a word boundary. |
pass 测试用例:assert text_match_wordz("pythonz.")==('Found a match!') assert text_match_wordz("xyz.")==('Found a match!') assert text_match_wordz(" lang .")==('Not matched!') |
| llama3.1-70B-Instruct | import re def text_match_wordz(text): pattern = r'\w*z\w*' if re.search(pattern, text): return 'Found a match!' else: return 'Not matched!' |
pass 测试用例:assert text_match_wordz("pythonz.")==('Found a match!') assert text_match_wordz("xyz.")==('Found a match!') assert text_match_wordz(" lang .")==('Not matched!') |
| llama3.1-405B-Instruct | import re def text_match_wordz(text): patterns = '\w*z.\w*' if re.search(patterns, text): return ('Found a match!') else: return('Not matched!') |
pass 测试用例:assert text_match_wordz("pythonz.")==('Found a match!') assert text_match_wordz("xyz.")==('Found a match!') assert text_match_wordz(" lang .")==('Not matched!') |
| DeepSeek-Coder-V2 | ```python import re def text_match_wordz(text): if re.search(r'\b\w*z\w*\b', text): return 'Found a match!' else: return 'Not matched!' ``` [DONE] |
pass 测试用例:assert text_match_wordz("pythonz.")==('Found a match!') assert text_match_wordz("xyz.")==('Found a match!') assert text_match_wordz(" lang .")==('Not matched!') |
| Qwen2-72B-Instruct | 'regex import re def text_match_wordz(text): patterns = '\w*z\w*' if re.search(patterns, text): return ('Found a match!') else: return ('Not matched!') [DONE] ' |
failed 测试用例:assert text_match_wordz("pythonz.")==('Found a match!') assert text_match_wordz("xyz.")==('Found a match!') assert text_match_wordz(" lang .")==('Not matched!') |
| baichuan4 | Here is the Python function to match a word containing 'z' using regular expressions: ```python import re def text_match_wordz(text): if bool(re.search(r'\b\w*z\w*\b', text)): return 'Found a match!' else: return 'Not matched!' ``` This function uses the `re` module to search for a pattern in the given text. The pattern `\b\w*z\w*\b` matches any word containing the letter 'z'. If a match is found, the function returns 'Found a match!', otherwise it returns 'Not matched!'. Let's test the function with the provided test cases: ```python assert text_match_wordz("pythonz.") == 'Found a match!' assert text_match_wordz("xyz.") == 'Found a match!' assert text_match_wordz(" lang .") == 'Not matched!' ``` The function correctly identifies words containing 'z' in the first two test cases and returns 'Found a match!'. In the third test case, there is no word containing 'z', so the function returns 'Not matched!'. |
pass 测试用例:assert text_match_wordz("pythonz.")==('Found a match!') assert text_match_wordz("xyz.")==('Found a match!') assert text_match_wordz(" lang .")==('Not matched!') |
| doubao | 'import re def text_match_wordz(text): if re.search(r'\bz\w*', text): return 'Found a match!' else: return 'Not matched!' ' [DONE] |
wrong_answer 测试用例:assert text_match_wordz("pythonz.")==('Found a match!') assert text_match_wordz("xyz.")==('Found a match!') assert text_match_wordz(" lang .")==('Not matched!') |
| minimax | ```python import re def text_match_wordz(text): if re.search(r'\bz\b', text): return 'Found a match!' else: return 'Not matched!' # Test cases assert text_match_wordz("pythonz.") == 'Found a match!' assert text_match_wordz("xyz.") == 'Found a match!' assert text_match_wordz(" lang .") == 'Not matched!' ``` This function uses the `re` module to search for the pattern `\bz\b` in the given text, which matches a whole word boundary (`\b`) followed by the letter 'z' followed by another word boundary. If the pattern is found, it returns 'Found a match!', otherwise, it returns 'Not matched!'. |
wrong_answer 测试用例:assert text_match_wordz("pythonz.")==('Found a match!') assert text_match_wordz("xyz.")==('Found a match!') assert text_match_wordz(" lang .")==('Not matched!') |
| kimi | Sure, let's write the functions one by one. ### Function to find similar elements from two tuple lists ```python def similar_elements(test_tup1, test_tup2): res = tuple(sorted(set(test_tup1) & set(test_tup2))) return res ``` ### Function to identify non-prime numbers ```python import math def is_not_prime(n): if n <= 1: return True for i in range(2, int(math.sqrt(n)) + 1): if n % i == 0: return True return False ``` ### Function to find the largest integers from a given list using heap queue algorithm ```python import heapq def heap_queue_largest(nums, n): largest_nums = heapq.nlargest(n, nums) return largest_nums ``` ### Function that matches a word containing 'z' ```python def text_match_wordz(text): if 'z' in text: return 'Found a match!' else: return 'Not matched!' ``` Now, let's test these functions with the provided test cases. ```python # Test similar_elements function assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5) assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4) assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14) # Test is_not_prime function assert is_not_prime(2) == False assert is_not_prime(10) == True assert is_not_prime(35) == True # Test heap_queue_largest function assert heap_queue_largest([25, 35, 22, 85, 14, 65, 75, 22, 58], 3) == [85, 75, 65] assert heap_queue_largest([25, 35, 22, 85, 14, 65, 75, 22, 58], 2) == [85, 75] assert heap_queue_largest([25, 35, 22, 85, 14, 65, 75, 22, 58], 5) == [85, 75, 65, 58, 35] # Test text_match_wordz function assert text_match_wordz("pythonz.") == 'Found a match!' assert text_match_wordz("xyz.") == 'Found a match!' assert text_match_wordz(" lang .") == 'Not matched!' ``` If you run these tests, they should all pass without any assertion errors. |
failed 测试用例:assert text_match_wordz("pythonz.")==('Found a match!') assert text_match_wordz("xyz.")==('Found a match!') assert text_match_wordz(" lang .")==('Not matched!') |
| wenxinyiyan | 'def text_match_wordz(text):
words = text.split() for word in words: if "z" in word: return "Found a match!" return "Not matched!"' [DONE] Explanation: The function `text_match_wordz` takes a string `text` as input. It splits the text into a list of words using the `split()` method, which splits the string at whitespace characters by default. Then, it iterates over each word in the list and checks if the character "z" is present in the word using the `in` operator. If a match is found, the function immediately returns the string "Found a match!". If no match is found after checking all the words, it returns the string "Not matched!". Note: The code assumes that words are separated by whitespace characters and does not account for punctuation marks directly attached to words (e.g., "pythonz."). If you want to handle such cases, you can modify the code to remove punctuation marks before splitting the text into words. However, based on the provided test cases, the code as is should suffice. |
pass 测试用例:assert text_match_wordz("pythonz.")==('Found a match!') assert text_match_wordz("xyz.")==('Found a match!') assert text_match_wordz(" lang .")==('Not matched!') |
| zhipu | To create a function that matches a word containing the letter 'z', you can use regular expressions from the `re` module in Python. Here's the function that should pass the given tests: ```python import re def text_match_wordz(text): # Define a regular expression pattern to match any word containing 'z' pattern = r'\b\w*z\w*\b' # Use re.search to check if the pattern is found in the text if re.search(pattern, text): return 'Found a match!' else: return 'Not matched!' # Test cases assert text_match_wordz("pythonz.") == 'Found a match!' assert text_match_wordz("xyz.") == 'Found a match!' assert text_match_wordz(" lang .") == 'Not matched!' ``` Explanation: - `\b` is a word boundary, ensuring that we match whole words. - `\w*` matches zero or more word characters (letters, digits, or underscores). - `z` is the character we are looking for. - The pattern `\b\w*z\w*\b` thus matches any word that contains the letter 'z'. This function uses `re.search` to check if the pattern exists in the input text. If a match is found, it returns 'Found a match!', otherwise it returns 'Not matched!'. You can run the provided test cases to verify that the function works as expected. |
pass 测试用例:assert text_match_wordz("pythonz.")==('Found a match!') assert text_match_wordz("xyz.")==('Found a match!') assert text_match_wordz(" lang .")==('Not matched!') |
| gpto1 | [BEGIN] 'def text_match_wordz(text): import re pattern = r"\b\w*z\w*\b" if re.search(pattern, text): return "Found a match!" else: return "Not matched!"' [DONE] |
pass 测试用例:assert text_match_wordz("pythonz.")==('Found a match!') assert text_match_wordz("xyz.")==('Found a match!') assert text_match_wordz(" lang .")==('Not matched!') |
| deepseekv3 | Here is the Python function that matches a word containing 'z': ```python import re def text_match_wordz(text): if re.search(r'\b\w*z\w*\b', text): return 'Found a match!' else: return 'Not matched!' ``` ### Explanation: 1. **Regular Expression**: The regular expression `\b\w*z\w*\b` is used to match any word that contains the letter 'z': - `\b` asserts a word boundary. - `\w*` matches zero or more word characters (letters, digits, or underscores). - `z` matches the letter 'z'. - `\w*` matches zero or more word characters after 'z'. - `\b` asserts another word boundary. 2. **`re.search`**: This function searches the input text for the pattern. If it finds a match, it returns a match object; otherwise, it returns `None`. 3. **Condition Check**: If a match is found, the function returns "Found a match!". If no match is found, it returns "Not matched!". ### Tests: ```python assert text_match_wordz("pythonz.") == 'Found a match!' assert text_match_wordz("xyz.") == 'Found a match!' assert text_match_wordz(" lang .") == 'Not matched!' ``` These tests should pass successfully with the provided function. |
pass 测试用例:assert text_match_wordz("pythonz.")==('Found a match!') assert text_match_wordz("xyz.")==('Found a match!') assert text_match_wordz(" lang .")==('Not matched!') |