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## environ() -- create a new MODELLER environment

`environ(rand_seed=-8123, restyp_lib_file='$(LIB)/restyp.lib', copy=None)`

> This creates a new `environ` object. rand_seed is used to seed the random number generator used throughout MODELLER, and should be set to a negative integer between and if you do not want to use the default value. restyp_lib_file specifies the file to read the residue type library from; if unspecified, the default (`'restyp.lib'`) file is used. This file contains the mapping between one-letter residue types and CHARMM and PDB names; see the FAQ Section 3.1, Question 8 for the format of this file.

> You can assign the new `environ` object to the Python variable `'env'` with the following:

> > `env = environ()`

> You can release the object from memory when you no longer need it in standard Python fashion, either by an explicit `del(env)` or by reassigning `env` to some other object.

> When you create new MODELLER objects (such as `model` or `alignment` objects) they require an `environ` object, which they use for their own default values. Note that each object gets a copy of the environment, so it is not affected by any changes you make to the global environment after its creation. You can, however, modify the object's own environment directly, by assigning to its `.env` member:

> > `env = environ()
> > env.io.hetatm = True # New objects will read HETATM records from PDB by default
> > mdl = model(env) # Create new model object (with hetatm=True) mdl.env.io.hetatm = False # hetatm is now False, but only for 'mdl'`

> If in doubt, set anything you need to set within `environ` before you create any objects.

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