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tests pass on windows
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1 changed files with 120 additions and 135 deletions
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@ -1,4 +1,5 @@
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import os
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import shutil
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import tempfile
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import unittest
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from pathlib import Path
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@ -11,179 +12,163 @@ from aider.io import InputOutput
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class TestWholeFileCoder(unittest.TestCase):
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def setUp(self):
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self.original_cwd = os.getcwd()
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self.tempdir = tempfile.mkdtemp()
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os.chdir(self.tempdir)
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def tearDown(self):
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os.chdir(self.original_cwd)
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shutil.rmtree(self.tempdir, ignore_errors=True)
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def test_update_files(self):
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with tempfile.TemporaryDirectory() as temp_dir:
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os.chdir(temp_dir)
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# Create a sample file in the temporary directory
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sample_file = "sample.txt"
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with open(sample_file, "w") as f:
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f.write("Original content\n")
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# Create a sample file in the temporary directory
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sample_file = "sample.txt"
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with open(sample_file, "w") as f:
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f.write("Original content\n")
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# Initialize WholeFileCoder with the temporary directory
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io = InputOutput(yes=True)
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coder = WholeFileCoder(main_model=models.GPT35, io=io, fnames=[sample_file])
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# Initialize WholeFileCoder with the temporary directory
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io = InputOutput(yes=True)
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coder = WholeFileCoder(main_model=models.GPT35, io=io, fnames=[sample_file])
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# Set the partial response content with the updated content
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coder.partial_response_content = f"{sample_file}\n```\nUpdated content\n```"
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# Set the partial response content with the updated content
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coder.partial_response_content = f"{sample_file}\n```\nUpdated content\n```"
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# Call update_files method
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edited_files = coder.update_files()
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# Call update_files method
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edited_files = coder.update_files()
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# Check if the sample file was updated
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self.assertIn("sample.txt", edited_files)
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# Check if the sample file was updated
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self.assertIn("sample.txt", edited_files)
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# Check if the content of the sample file was updated
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with open(sample_file, "r") as f:
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updated_content = f.read()
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self.assertEqual(updated_content, "Updated content\n")
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# Check if the content of the sample file was updated
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with open(sample_file, "r") as f:
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updated_content = f.read()
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self.assertEqual(updated_content, "Updated content\n")
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def test_update_files_with_existing_fence(self):
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with tempfile.TemporaryDirectory() as temp_dir:
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os.chdir(temp_dir)
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# Create a sample file in the temporary directory
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sample_file = "sample.txt"
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original_content = """
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# Create a sample file in the temporary directory
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sample_file = "sample.txt"
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original_content = """
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Here is some quoted text:
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```
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Quote!
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```
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"""
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with open(sample_file, "w") as f:
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f.write(original_content)
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with open(sample_file, "w") as f:
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f.write(original_content)
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# Initialize WholeFileCoder with the temporary directory
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io = InputOutput(yes=True)
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coder = WholeFileCoder(main_model=models.GPT35, io=io, fnames=[sample_file])
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# Initialize WholeFileCoder with the temporary directory
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io = InputOutput(yes=True)
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coder = WholeFileCoder(main_model=models.GPT35, io=io, fnames=[sample_file])
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coder.choose_fence()
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coder.choose_fence()
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self.assertNotEqual(coder.fence[0], "```")
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self.assertNotEqual(coder.fence[0], "```")
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# Set the partial response content with the updated content
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coder.partial_response_content = (
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f"{sample_file}\n{coder.fence[0]}\nUpdated content\n{coder.fence[1]}"
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)
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# Set the partial response content with the updated content
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coder.partial_response_content = (
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f"{sample_file}\n{coder.fence[0]}\nUpdated content\n{coder.fence[1]}"
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)
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# Call update_files method
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edited_files = coder.update_files()
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# Call update_files method
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edited_files = coder.update_files()
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# Check if the sample file was updated
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self.assertIn("sample.txt", edited_files)
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# Check if the sample file was updated
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self.assertIn("sample.txt", edited_files)
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# Check if the content of the sample file was updated
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with open(sample_file, "r") as f:
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updated_content = f.read()
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self.assertEqual(updated_content, "Updated content\n")
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# Check if the content of the sample file was updated
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with open(sample_file, "r") as f:
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updated_content = f.read()
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self.assertEqual(updated_content, "Updated content\n")
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def test_update_files_bogus_path_prefix(self):
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with tempfile.TemporaryDirectory() as temp_dir:
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os.chdir(temp_dir)
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# Create a sample file in the temporary directory
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sample_file = "sample.txt"
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with open(sample_file, "w") as f:
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f.write("Original content\n")
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# Create a sample file in the temporary directory
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sample_file = "sample.txt"
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with open(sample_file, "w") as f:
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f.write("Original content\n")
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# Initialize WholeFileCoder with the temporary directory
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io = InputOutput(yes=True)
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coder = WholeFileCoder(main_model=models.GPT35, io=io, fnames=[sample_file])
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# Initialize WholeFileCoder with the temporary directory
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io = InputOutput(yes=True)
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coder = WholeFileCoder(main_model=models.GPT35, io=io, fnames=[sample_file])
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# Set the partial response content with the updated content
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# With path/to/ prepended onto the filename
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coder.partial_response_content = f"path/to/{sample_file}\n```\nUpdated content\n```"
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# Set the partial response content with the updated content
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# With path/to/ prepended onto the filename
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coder.partial_response_content = f"path/to/{sample_file}\n```\nUpdated content\n```"
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# Call update_files method
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edited_files = coder.update_files()
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# Call update_files method
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edited_files = coder.update_files()
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# Check if the sample file was updated
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self.assertIn("sample.txt", edited_files)
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# Check if the sample file was updated
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self.assertIn("sample.txt", edited_files)
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# Check if the content of the sample file was updated
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with open(sample_file, "r") as f:
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updated_content = f.read()
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self.assertEqual(updated_content, "Updated content\n")
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# Check if the content of the sample file was updated
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with open(sample_file, "r") as f:
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updated_content = f.read()
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self.assertEqual(updated_content, "Updated content\n")
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def test_update_files_not_in_chat(self):
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with tempfile.TemporaryDirectory() as temp_dir:
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os.chdir(temp_dir)
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# Create a sample file in the temporary directory
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sample_file = "sample.txt"
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with open(sample_file, "w") as f:
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f.write("Original content\n")
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# Create a sample file in the temporary directory
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sample_file = "sample.txt"
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with open(sample_file, "w") as f:
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f.write("Original content\n")
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# Initialize WholeFileCoder with the temporary directory
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io = InputOutput(yes=True)
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coder = WholeFileCoder(main_model=models.GPT35, io=io)
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# Initialize WholeFileCoder with the temporary directory
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io = InputOutput(yes=True)
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coder = WholeFileCoder(main_model=models.GPT35, io=io)
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# Set the partial response content with the updated content
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coder.partial_response_content = f"{sample_file}\n```\nUpdated content\n```"
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# Set the partial response content with the updated content
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coder.partial_response_content = f"{sample_file}\n```\nUpdated content\n```"
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# Call update_files method
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edited_files = coder.update_files()
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# Call update_files method
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edited_files = coder.update_files()
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# Check if the sample file was updated
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self.assertIn("sample.txt", edited_files)
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# Check if the sample file was updated
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self.assertIn("sample.txt", edited_files)
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# Check if the content of the sample file was updated
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with open(sample_file, "r") as f:
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updated_content = f.read()
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self.assertEqual(updated_content, "Updated content\n")
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# Check if the content of the sample file was updated
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with open(sample_file, "r") as f:
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updated_content = f.read()
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self.assertEqual(updated_content, "Updated content\n")
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def test_update_files_no_filename_single_file_in_chat(self):
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with tempfile.TemporaryDirectory() as temp_dir:
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os.chdir(temp_dir)
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sample_file = "accumulate.py"
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content = (
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"def accumulate(collection, operation):\n return [operation(x) for x in"
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" collection]\n"
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)
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sample_file = "accumulate.py"
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content = (
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"def accumulate(collection, operation):\n return [operation(x) for x in"
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" collection]\n"
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)
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with open(sample_file, "w") as f:
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f.write("Original content\n")
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with open(sample_file, "w") as f:
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f.write("Original content\n")
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# Initialize WholeFileCoder with the temporary directory
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io = InputOutput(yes=True)
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coder = WholeFileCoder(main_model=models.GPT35, io=io, fnames=[sample_file])
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# Initialize WholeFileCoder with the temporary directory
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io = InputOutput(yes=True)
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coder = WholeFileCoder(main_model=models.GPT35, io=io, fnames=[sample_file])
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# Set the partial response content with the updated content
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coder.partial_response_content = (
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f"Here's the modified `{sample_file}` file that implements the `accumulate`"
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f" function as per the given instructions:\n\n```\n{content}```\n\nThis"
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" implementation uses a list comprehension to apply the `operation` function to"
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" each element of the `collection` and returns the resulting list."
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)
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# Set the partial response content with the updated content
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coder.partial_response_content = (
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f"Here's the modified `{sample_file}` file that implements the `accumulate`"
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f" function as per the given instructions:\n\n```\n{content}```\n\nThis"
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" implementation uses a list comprehension to apply the `operation` function to"
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" each element of the `collection` and returns the resulting list."
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)
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# Call update_files method
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edited_files = coder.update_files()
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# Call update_files method
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edited_files = coder.update_files()
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# Check if the sample file was updated
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self.assertIn(sample_file, edited_files)
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# Check if the sample file was updated
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self.assertIn(sample_file, edited_files)
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# Check if the content of the sample file was updated
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with open(sample_file, "r") as f:
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updated_content = f.read()
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self.assertEqual(updated_content, content)
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# Check if the content of the sample file was updated
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with open(sample_file, "r") as f:
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updated_content = f.read()
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self.assertEqual(updated_content, content)
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def test_update_files_earlier_filename(self):
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with tempfile.TemporaryDirectory() as temp_dir:
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os.chdir(temp_dir)
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print(temp_dir)
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fname_a = Path("a.txt")
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fname_b = Path("b.txt")
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fname_a = Path("a.txt")
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fname_b = Path("b.txt")
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fname_a.write_text("before a\n")
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fname_b.write_text("before b\n")
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fname_a.write_text("before a\n")
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fname_b.write_text("before b\n")
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response = """
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response = """
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Here is a new version of `a.txt` for you to consider:
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```
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@ -196,22 +181,22 @@ And here is `b.txt`:
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after b
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```
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"""
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# Initialize WholeFileCoder with the temporary directory
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io = InputOutput(yes=True)
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coder = WholeFileCoder(main_model=models.GPT35, io=io, fnames=[fname_a, fname_b])
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# Initialize WholeFileCoder with the temporary directory
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io = InputOutput(yes=True)
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coder = WholeFileCoder(main_model=models.GPT35, io=io, fnames=[fname_a, fname_b])
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# Set the partial response content with the updated content
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coder.partial_response_content = response
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# Set the partial response content with the updated content
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coder.partial_response_content = response
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# Call update_files method
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edited_files = coder.update_files()
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# Call update_files method
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edited_files = coder.update_files()
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# Check if the sample file was updated
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self.assertIn(str(fname_a), edited_files)
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self.assertIn(str(fname_b), edited_files)
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# Check if the sample file was updated
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self.assertIn(str(fname_a), edited_files)
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self.assertIn(str(fname_b), edited_files)
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self.assertEqual(fname_a.read_text(), "after a\n")
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self.assertEqual(fname_b.read_text(), "after b\n")
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self.assertEqual(fname_a.read_text(), "after a\n")
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self.assertEqual(fname_b.read_text(), "after b\n")
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if __name__ == "__main__":
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