ValidationError when a value is equal to minimum or maximum value specified in schema

[lukemorrill]

I have a schema with entries such as this:

{ "name": "my_var", "description": "Test variable, "type": "integer", "minimum": 0, "required": true },

But when I provide data with the above field set to a value of "0", I get this validation error:

`
self = <pycsvschema.checker.Validator object at 0x11ea71f10>

def validate(self):
    with open(self.csvfile, "r") as csvfile:
        csv_reader = csv.reader(csvfile, **self.csv_pars)

        # Read first line as header
        self.header = next(csv_reader)
        self.prepare_field_schema()

        with utilities.file_writer(self.output) as output:
            # Concat errors from header checking and row checking
            for error in chain(self.check_header(), self.check_rows(csv_reader)):
                if self.errors == "raise":

                  raise error

E pycsvschema.exceptions.ValidationError: <ValidationError: 'Value 0 is less than minimum of 0'; column: my_var; row: 2>
`

This occurs for both integers and numbers, and for minimum as well as maximum constraints. If I explicitly set exclusiveMinimum or exclusiveMaximum to false, it still occurs. However, if I set either of them to true then the behavior does not occur for the particular constraint. I believe this behavior is the opposite of what is intended.

Looking at the code in row_validators.py:

`

if exclusiveminimum:
    failed = minimum > cell['value']
    comapre = "less than or equal to"
else:
    failed = minimum >= cell['value']
    comapre = "less than"

`

I think the ">" and ">=" need to be swapped. I can make the changes and submit a pull request if this seems right to you.