townie

email = InboudEmail(from="keith@email", body="HIIII PANDA")
contact_form_email = EmailToContact(email)
contact_from_email.


class EmailToContact {
   public static Contact findOrBuildContact(String email_address) {
        Contact result = "Select * from contact where email = email_Address"

        if result == Empty {} // Null,[],empty AKA no match found

townie

########################
## Variables
########################

variable "environment_name" {
    description = "The name of the environment"
}

variable "vpc_id" {

townie

_MISSING = object()

def update_method(user, first_name=_MISSING, last_name=_MISSING):
  if first_name is not _MISSING:
    user.first_name = first_name

  if last_name is not _MISSING:
    user.last_name = last_name
    
  user.save() # or someshit

townie

# Implict return
class SomeClass(Object):
    
    def implicit_do_stuff(self, val):
        if self.some_value:
            return val + 1
         return val
        
     def implicit_do_stuff(self, val):
        if self.some_value:

townie

# put in __init__.py

def enum(*vals, **enums):
    """
    Enum without third party libs and compatible with py2 and py3 versions.
    """
    enums.update(dict(zip(vals, vals)))
    return type('Enum', (), enums)

townie

// mongo 127.0.0.1/MMApp collect.js >> collects.txt


var collects= db.getCollectionNames();
collects.forEach(function(name, i) {
  var c = db[name].find();
  while(c.hasNext()) {
    printjson(c.next())
  }
});

townie

class KitchenSink(object):
    def drain(self):
        print('wash')

class NoSink(object):
    def noop(self):
        print('noop')
        
    def __getattr__(self, name):
        if hasattr(KitchenSink, name):

townie

public class UserHistory_CreateUpdateFromUser  {

    static final String NEWUSERLIST = 'newUserList';
    static final String LOBCHANNELLIST = 'lOBChannelList';
    static final String ISACTIVELIST = 'isActiveList';
    static final String UMANAGERLIST = 'uManagerList';

townie

| prediction | row_id | class_1 | class_2 | class_3 |
| ---|---------|-----|----|--- |
| 1 | 0 | 0.998750 | 0.000002 | 0.00003 |





| prediction | row_id | class_1_label | class_1_probability | class_2_label | class_2_probability |class_3_label | class_3_probability |
| ---|---------|-----|----|--- | ---| ---| --|

townie

Current

prediction	row_id	class_1	class_2	class_3
1	0	0.998750	0.000002	0.00003

Reason codes approach

| prediction | row_id | class_1_label | class_1_probability | class_2_label | class_2_probability |class_3_label | class_3_probability |