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Define a function called parse_weather_data_file. This function will accept one argument which will be a file path that points to a text file. Assume the file has lines of weather data, where the first eight characters are a weather station identifier. The next three characters are temperature in Celsius. The next two characters after that are the relative humidity.

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Step-by-step explanation:

Here's an example of the `parse_weather_data_file` function in Python that reads a text file containing weather data and extracts the station identifier, temperature, and relative humidity from each line:

```python

def parse_weather_data_file(file_path):

weather_data = []

# Open the file in read mode

with open(file_path, 'r') as file:

# Read each line in the file

for line in file:

# Extract the station identifier, temperature, and relative humidity

station_id = line[:8].strip()

temperature = float(line[8:11])

humidity = int(line[11:13])

# Create a dictionary with the extracted data

data = {

'station_id': station_id,

'temperature': temperature,

'humidity': humidity

}

# Append the dictionary to the weather data list

weather_data.append(data)

return weather_data

```

You can use this function by providing the file path as an argument. For example:

```python

file_path = 'path/to/your/file.txt'

weather_data = parse_weather_data_file(file_path)

for data in weather_data:

print(data)

```

Make sure to replace `'path/to/your/file.txt'` with the actual path to your file. The function will read each line of the file, extract the station identifier, temperature, and relative humidity, and store them in a dictionary. The dictionaries are then collected into a list, which is returned by the function. You can iterate over the `weather_data` list to access each weather data entry, which will be in the form of a dictionary.

User Roman Svitukha
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