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| my_list = [1, 2, 3] | |
| iterator = iter(my_list) | |
| print(next(iterator)) # Output: 1 | |
| print(next(iterator)) # Output: 2 | |
| print(next(iterator)) # Output: 3 | |
| # Calling next again will raise a StopIteration Exception |
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| class MyIterator: | |
| def __init__(self, data): | |
| self.data = data | |
| self.index = 0 | |
| def __iter__(self): | |
| return self | |
| def __next__(self): | |
| if self.index < len(self.data): |
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| def my_generator(): | |
| yield 1 | |
| yield 2 | |
| yield 3 | |
| gen = my_generator() | |
| for item in gen: | |
| print(item) |
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| def count_up_to(max): | |
| count = 1 | |
| while count <= max: | |
| yield count | |
| count += 1 | |
| counter = count_up_to(3) | |
| print(next(counter)) # Output: 1 | |
| print(next(counter)) # Output: 2 | |
| print(next(counter)) # Output: 3 |
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| import httpx | |
| def stream_data_from_api(url, chunk_size=1024): | |
| with httpx.stream('GET', url) as response: | |
| for chunk in response.iter_bytes(chunk_size): | |
| yield chunk | |
| # Example usage | |
| url = '<https://example.com/large_file.zip>' | |
| for chunk in stream_data_from_api(url): |
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| import s3fs | |
| def stream_data_from_s3(bucket_name, file_path, chunk_size=1024): | |
| fs = s3fs.S3FileSystem() | |
| with fs.open(f'{bucket_name}/{file_path}', 'rb') as file: | |
| while chunk := file.read(chunk_size): | |
| yield chunk | |
| # Example usage | |
| bucket_name = 'my-bucket' |
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| cursor = connection.cursor() | |
| results = cursor.fetch_pandas_batches() | |
| assert isinstance(results, Generator) | |
| for result in results: | |
| assert isinstance(result, PandasDataFrame) | |
| break |
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| pythonCopy code | |
| import paramiko | |
| def stream_data_from_sftp(hostname, port, username, password, remote_path, chunk_size=1024): | |
| transport = paramiko.Transport((hostname, port)) | |
| transport.connect(username=username, password=password) | |
| sftp = paramiko.SFTPClient.from_transport(transport) | |
| with sftp.open(remote_path, 'rb') as file: | |
| while chunk := file.read(chunk_size): |
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| with connection: | |
| if file_path is not None: | |
| counter = 0 | |
| cursor_execution_config.command = f"PUT file://{snowflake_file_name}_{counter} @{full_qualified_stage_name} OVERWRITE = {overwrite}" | |
| with open(file_path, "rb") as f: | |
| if chunk_size == 0: | |
| raise ValueError( | |
| "Chunk size of 0 is not allowed for filestream pushing." | |
| ) | |
| elif chunk_size > 0: |
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| 1 |