Commit 09f6c534 by ichuang

fourth pass in capa cleanup:

  - Added hints + hintmethod
  - hintgroup compatible with loncapa spec
  - also does hintfn for custom hints (can do answer history)
  - GenericResponse -> LoncapaResponse
  - moved response type tags into responsetype classes
  - capa_problem should use __future__ division
  - hints stored in CorrectMap, copied to 'feedback' in SimpleInput for display
parent 6ab97b35
......@@ -12,6 +12,8 @@ Main module which shows problems (of "capa" type).
This is used by capa_module.
'''
from __future__ import division
import copy
import logging
import math
......@@ -32,20 +34,10 @@ import inputtypes
from util import contextualize_text
# to be replaced with auto-registering
from responsetypes import NumericalResponse, FormulaResponse, CustomResponse, SchematicResponse, MultipleChoiceResponse, TrueFalseResponse, ExternalResponse, ImageResponse, OptionResponse, SymbolicResponse
import responsetypes
# dict of tagname, Response Class -- this should come from auto-registering
response_types = {'numericalresponse': NumericalResponse,
'formularesponse': FormulaResponse,
'customresponse': CustomResponse,
'schematicresponse': SchematicResponse,
'externalresponse': ExternalResponse,
'multiplechoiceresponse': MultipleChoiceResponse,
'truefalseresponse': TrueFalseResponse,
'imageresponse': ImageResponse,
'optionresponse': OptionResponse,
'symbolicresponse': SymbolicResponse,
}
response_tag_dict = dict([(x.response_tag,x) for x in responsetypes.__all__])
entry_types = ['textline', 'schematic', 'choicegroup', 'textbox', 'imageinput', 'optioninput']
solution_types = ['solution'] # extra things displayed after "show answers" is pressed
......@@ -65,7 +57,7 @@ global_context = {'random': random,
'eia': eia}
# These should be removed from HTML output, including all subelements
html_problem_semantics = ["responseparam", "answer", "script"]
html_problem_semantics = ["responseparam", "answer", "script","hintgroup"]
#log = logging.getLogger(__name__)
log = logging.getLogger('mitx.common.lib.capa.capa_problem')
......@@ -209,7 +201,7 @@ class LoncapaProblem(object):
oldcmap = self.correct_map # old CorrectMap
newcmap = CorrectMap() # start new with empty CorrectMap
for responder in self.responders.values():
results = responder.get_score(answers,oldcmap) # call the responsetype instance to do the actual grading
results = responder.evaluate_answers(answers,oldcmap) # call the responsetype instance to do the actual grading
newcmap.update(results)
self.correct_map = newcmap
log.debug('%s: in grade_answers, answers=%s, cmap=%s' % (self,answers,newcmap))
......@@ -248,7 +240,8 @@ class LoncapaProblem(object):
'''
return contextualize_text(etree.tostring(self.extract_html(self.tree)), self.context)
# ======= Private ========
# ======= Private Methods Below ========
def extract_context(self, tree, seed=struct.unpack('i', os.urandom(4))[0]): # private
'''
Extract content of <script>...</script> from the problem.xml file, and exec it in the
......@@ -296,15 +289,17 @@ class LoncapaProblem(object):
problemid = problemtree.get('id') # my ID
if problemtree.tag in inputtypes.get_input_xml_tags():
# status is currently the answer for the problem ID for the input element,
# but it will turn into a dict containing both the answer and any associated message
# for the problem ID for the input element.
status = "unsubmitted"
msg = ''
hint = ''
hintmode = None
if problemid in self.correct_map:
pid = problemtree.get('id')
status = self.correct_map.get_correctness(pid)
msg = self.correct_map.get_msg(pid)
hint = self.correct_map.get_hint(pid)
hintmode = self.correct_map.get_hintmode(pid)
value = ""
if self.student_answers and problemid in self.student_answers:
......@@ -316,7 +311,10 @@ class LoncapaProblem(object):
state={'value': value,
'status': status,
'id': problemtree.get('id'),
'feedback': {'message': msg}
'feedback': {'message': msg,
'hint' : hint,
'hintmode' : hintmode,
}
},
use='capa_input')
return render_object.get_html() # function(problemtree, value, status, msg) # render the special response (textline, schematic,...)
......@@ -352,7 +350,7 @@ class LoncapaProblem(object):
'''
response_id = 1
self.responders = {}
for response in tree.xpath('//' + "|//".join(response_types)):
for response in tree.xpath('//' + "|//".join(response_tag_dict)):
response_id_str = self.problem_id + "_" + str(response_id)
response.set('id',response_id_str) # create and save ID for this response
response_id += 1
......@@ -366,7 +364,7 @@ class LoncapaProblem(object):
entry.attrib['id'] = "%s_%i_%i" % (self.problem_id, response_id, answer_id)
answer_id = answer_id + 1
responder = response_types[response.tag](response, inputfields, self.context, self.system) # instantiate capa Response
responder = response_tag_dict[response.tag](response, inputfields, self.context, self.system) # instantiate capa Response
self.responders[response] = responder # save in list in self
# <solution>...</solution> may not be associated with any specific response; give IDs for those separately
......
......@@ -5,7 +5,16 @@
class CorrectMap(object):
'''
Stores (correctness, npoints, msg) for each answer_id.
Stores map between answer_id and response evaluation result for each question
in a capa problem. The response evaluation result for each answer_id includes
(correctness, npoints, msg, hint, hintmode).
- correctness : either 'correct' or 'incorrect'
- npoints : None, or integer specifying number of points awarded for this answer_id
- msg : string (may have HTML) giving extra message response (displayed below textline or textbox)
- hint : string (may have HTML) giving optional hint (displayed below textline or textbox, above msg)
- hintmode : one of (None,'on_request','always') criteria for displaying hint
Behaves as a dict.
'''
cmap = {}
......@@ -13,11 +22,14 @@ class CorrectMap(object):
def __init__(self,*args,**kwargs):
self.set(*args,**kwargs)
def set(self,answer_id=None,correctness=None,npoints=None,msg=''):
def set(self, answer_id=None, correctness=None, npoints=None, msg='', hint='', hintmode=None):
if answer_id is not None:
self.cmap[answer_id] = {'correctness': correctness,
'npoints': npoints,
'msg': msg }
'msg': msg,
'hint' : hint,
'hintmode' : hintmode,
}
def __repr__(self):
return repr(self.cmap)
......@@ -64,6 +76,20 @@ class CorrectMap(object):
def get_msg(self,answer_id):
return self.get_property(answer_id,'msg','')
def get_hint(self,answer_id):
return self.get_property(answer_id,'hint','')
def get_hintmode(self,answer_id):
return self.get_property(answer_id,'hintmode',None)
def set_hint_and_mode(self,answer_id,hint,hintmode):
'''
- hint : (string) HTML text for hint
- hintmode : (string) mode for hint display ('always' or 'on_request')
'''
self.set_property(answer_id,'hint',hint)
self.set_property(answer_id,'hintmode',hintmode)
def update(self,other_cmap):
'''
Update this CorrectMap with the contents of another CorrectMap
......
......@@ -32,44 +32,57 @@ def get_input_xml_tags():
return SimpleInput.get_xml_tags()
class SimpleInput():# XModule
''' Type for simple inputs -- plain HTML with a form element
State is a dictionary with optional keys:
* Value
* ID
* Status (answered, unanswered, unsubmitted)
* Feedback (dictionary containing keys for hints, errors, or other
feedback from previous attempt)
'''
Type for simple inputs -- plain HTML with a form element
'''
xml_tags = {} ## Maps tags to functions
def __init__(self, system, xml, item_id = None, track_url=None, state=None, use = 'capa_input'):
'''
Instantiate a SimpleInput class. Arguments:
- system : I4xSystem instance which provides OS, rendering, and user context
- xml : Element tree of this Input element
- item_id : id for this input element (assigned by capa_problem.LoncapProblem) - string
- track_url : URL used for tracking - string
- state : a dictionary with optional keys:
* Value
* ID
* Status (answered, unanswered, unsubmitted)
* Feedback (dictionary containing keys for hints, errors, or other
feedback from previous attempt)
- use :
'''
self.xml = xml
self.tag = xml.tag
if not state:
state = {}
self.system = system
if not state: state = {}
## ID should only come from one place.
## If it comes from multiple, we use state first, XML second, and parameter
## third. Since we don't make this guarantee, we can swap this around in
## the future if there's a more logical order.
if item_id:
self.id = item_id
if xml.get('id'):
self.id = xml.get('id')
if 'id' in state:
self.id = state['id']
self.system = system
if item_id: self.id = item_id
if xml.get('id'): self.id = xml.get('id')
if 'id' in state: self.id = state['id']
self.value = ''
if 'value' in state:
self.value = state['value']
self.msg = ''
if 'feedback' in state and 'message' in state['feedback']:
self.msg = state['feedback']['message']
feedback = state.get('feedback')
if feedback is not None:
self.msg = feedback.get('message','')
self.hint = feedback.get('hint','')
self.hintmode = feedback.get('hintmode',None)
# put hint above msg if to be displayed
if self.hintmode == 'always':
self.msg = self.hint + ('<br/.>' if self.msg else '') + self.msg
self.status = 'unanswered'
if 'status' in state:
self.status = state['status']
......
......@@ -51,7 +51,7 @@ class StudentInputError(Exception):
#
# Main base class for CAPA responsetypes
class GenericResponse(object):
class LoncapaResponse(object):
'''
Base class for CAPA responsetypes. Each response type (ie a capa question,
which is part of a capa problem) is represented as a subclass,
......@@ -60,22 +60,31 @@ class GenericResponse(object):
- get_score : evaluate the given student answers, and return a CorrectMap
- get_answers : provide a dict of the expected answers for this problem
Each subclass must also define the following attributes:
- response_tag : xhtml tag identifying this response (used in auto-registering)
In addition, these methods are optional:
- get_max_score : if defined, this is called to obtain the maximum score possible for this question
- setup_response : find and note the answer input field IDs for the response; called by __init__
- render_html : render this Response as HTML (must return XHTML compliant string)
- __unicode__ : unicode representation of this Response
- get_max_score : if defined, this is called to obtain the maximum score possible for this question
- setup_response : find and note the answer input field IDs for the response; called by __init__
- check_hint_condition : check to see if the student's answers satisfy a particular condition for a hint to be displayed
- render_html : render this Response as HTML (must return XHTML compliant string)
- __unicode__ : unicode representation of this Response
Each response type may also specify the following attributes:
- max_inputfields : (int) maximum number of answer input fields (checked in __init__ if not None)
- allowed_inputfields : list of allowed input fields (each a string) for this Response
- required_attributes : list of required attributes (each a string) on the main response XML stanza
- max_inputfields : (int) maximum number of answer input fields (checked in __init__ if not None)
- allowed_inputfields : list of allowed input fields (each a string) for this Response
- required_attributes : list of required attributes (each a string) on the main response XML stanza
- hint_tag : xhtml tag identifying hint associated with this response inside hintgroup
'''
__metaclass__=abc.ABCMeta # abc = Abstract Base Class
response_tag = None
hint_tag = None
max_inputfields = None
allowed_inputfields = []
required_attributes = []
......@@ -85,7 +94,7 @@ class GenericResponse(object):
Init is passed the following arguments:
- xml : ElementTree of this Response
- inputfields : list of ElementTrees for each input entry field in this Response
- inputfields : ordered list of ElementTrees for each input entry field in this Response
- context : script processor context
- system : I4xSystem instance which provides OS, rendering, and user context
......@@ -112,7 +121,7 @@ class GenericResponse(object):
msg += "\nSee XML source line %s" % getattr(xml,'sourceline','<unavailable>')
raise LoncapaProblemError(msg)
self.answer_ids = [x.get('id') for x in self.inputfields]
self.answer_ids = [x.get('id') for x in self.inputfields] # ordered list of answer_id values for this response
if self.max_inputfields==1:
self.answer_id = self.answer_ids[0] # for convenience
......@@ -140,8 +149,85 @@ class GenericResponse(object):
tree.tail = self.xml.tail
return tree
def evaluate_answers(self,student_answers,old_cmap):
'''
Called by capa_problem.LoncapaProblem to evaluate student answers, and to
generate hints (if any).
Returns the new CorrectMap, with (correctness,msg,hint,hintmode) for each answer_id.
'''
new_cmap = self.get_score(student_answers)
self.get_hints(student_answers, new_cmap, old_cmap)
return new_cmap
def get_hints(self, student_answers, new_cmap, old_cmap):
'''
Generate adaptive hints for this problem based on student answers, the old CorrectMap,
and the new CorrectMap produced by get_score.
Does not return anything.
Modifies new_cmap, by adding hints to answer_id entries as appropriate.
'''
hintgroup = self.xml.find('hintgroup')
if hintgroup is None: return
# hint specified by function?
hintfn = hintgroup.get('hintfn')
if hintfn:
'''
Hint is determined by a function defined in the <script> context; evaluate that function to obtain
list of hint, hintmode for each answer_id.
The function should take arguments (answer_ids, student_answers, new_cmap, old_cmap)
and it should modify new_cmap as appropriate.
We may extend this in the future to add another argument which provides a callback procedure
to a social hint generation system.
'''
if not hintfn in self.context:
msg = 'missing specified hint function %s in script context' % hintfn
msg += "\nSee XML source line %s" % getattr(self.xml,'sourceline','<unavailable>')
raise LoncapaProblemError(msg)
try:
self.context[hintfn](self.answer_ids, student_answers, new_cmap, old_cmap)
except Exception, err:
msg = 'Error %s in evaluating hint function %s' % (err,hintfn)
msg += "\nSee XML source line %s" % getattr(self.xml,'sourceline','<unavailable>')
raise ResponseError(msg)
return
# hint specified by conditions and text dependent on conditions (a-la Loncapa design)
# see http://help.loncapa.org/cgi-bin/fom?file=291
#
# Example:
#
# <formularesponse samples="x@-5:5#11" id="11" answer="$answer">
# <textline size="25" />
# <hintgroup>
# <formulahint samples="x@-5:5#11" answer="$wrongans" name="inversegrad"></formulahint>
# <hintpart on="inversegrad">
# <text>You have inverted the slope in the question. The slope is
# (y2-y1)/(x2 - x1) you have the slope as (x2-x1)/(y2-y1).</text>
# </hintpart>
# </hintgroup>
# </formularesponse>
if self.hint_tag is not None and hintgroup.find(self.hint_tag) is not None and hasattr(self,'check_hint_condition'):
rephints = hintgroup.findall(self.hint_tag)
hints_to_show = self.check_hint_condition(rephints,student_answers)
hintmode = hintgroup.get('mode','always') # can be 'on_request' or 'always' (default)
for hintpart in hintgroup.findall('hintpart'):
if hintpart.get('on') in hints_to_show:
hint_text = hintpart.find('text').text
aid = self.answer_ids[-1] # make the hint appear after the last answer box in this response
new_cmap.set_hint_and_mode(aid,hint_text,hintmode)
log.debug('after hint: new_cmap = %s' % new_cmap)
@abc.abstractmethod
def get_score(self, student_answers, old_cmap):
def get_score(self, student_answers):
'''
Return a CorrectMap for the answers expected vs given. This includes
(correctness, npoints, msg) for each answer_id.
......@@ -161,6 +247,17 @@ class GenericResponse(object):
'''
pass
def check_hint_condition(self,hxml_set,student_answers):
'''
Return a list of hints to show.
- hxml_set : list of Element trees, each specifying a condition to be satisfied for a named hint condition
- student_answers : dict of student answers
Returns a list of names of hint conditions which were satisfied. Those are used to determine which hints are displayed.
'''
pass
def setup_response(self):
pass
......@@ -169,7 +266,7 @@ class GenericResponse(object):
#-----------------------------------------------------------------------------
class MultipleChoiceResponse(GenericResponse):
class MultipleChoiceResponse(LoncapaResponse):
# TODO: handle direction and randomize
snippets = [{'snippet': '''<multiplechoiceresponse direction="vertical" randomize="yes">
<choicegroup type="MultipleChoice">
......@@ -181,6 +278,7 @@ class MultipleChoiceResponse(GenericResponse):
</multiplechoiceresponse>
'''}]
response_tag = 'multiplechoiceresponse'
max_inputfields = 1
allowed_inputfields = ['choicegroup']
......@@ -208,7 +306,7 @@ class MultipleChoiceResponse(GenericResponse):
else:
choice.set("name", "choice_"+choice.get("name"))
def get_score(self, student_answers, old_cmap):
def get_score(self, student_answers):
'''
grade student response.
'''
......@@ -222,6 +320,9 @@ class MultipleChoiceResponse(GenericResponse):
return {self.answer_id:self.correct_choices}
class TrueFalseResponse(MultipleChoiceResponse):
response_tag = 'truefalseresponse'
def mc_setup_response(self):
i=0
for response in self.xml.xpath("choicegroup"):
......@@ -233,7 +334,7 @@ class TrueFalseResponse(MultipleChoiceResponse):
else:
choice.set("name", "choice_"+choice.get("name"))
def get_score(self, student_answers, old_cmap):
def get_score(self, student_answers):
correct = set(self.correct_choices)
answers = set(student_answers.get(self.answer_id, []))
......@@ -244,7 +345,7 @@ class TrueFalseResponse(MultipleChoiceResponse):
#-----------------------------------------------------------------------------
class OptionResponse(GenericResponse):
class OptionResponse(LoncapaResponse):
'''
TODO: handle direction and randomize
'''
......@@ -253,12 +354,14 @@ class OptionResponse(GenericResponse):
<optioninput options="('Up','Down')" correct="Down"><text>The location of the earth</text></optioninput>
</optionresponse>'''}]
response_tag = 'optionresponse'
hint_tag = 'optionhint'
allowed_inputfields = ['optioninput']
def setup_response(self):
self.answer_fields = self.inputfields
def get_score(self, student_answers, old_cmap):
def get_score(self, student_answers):
# log.debug('%s: student_answers=%s' % (unicode(self),student_answers))
cmap = CorrectMap()
amap = self.get_answers()
......@@ -276,8 +379,10 @@ class OptionResponse(GenericResponse):
#-----------------------------------------------------------------------------
class NumericalResponse(GenericResponse):
class NumericalResponse(LoncapaResponse):
response_tag = 'numericalresponse'
hint_tag = 'numericalhint'
allowed_inputfields = ['textline']
required_attributes = ['answer']
max_inputfields = 1
......@@ -298,7 +403,7 @@ class NumericalResponse(GenericResponse):
except Exception:
self.answer_id = None
def get_score(self, student_answers, old_cmap):
def get_score(self, student_answers):
'''Grade a numeric response '''
student_answer = student_answers[self.answer_id]
try:
......@@ -319,7 +424,7 @@ class NumericalResponse(GenericResponse):
#-----------------------------------------------------------------------------
class CustomResponse(GenericResponse):
class CustomResponse(LoncapaResponse):
'''
Custom response. The python code to be run should be in <answer>...</answer>
or in a <script>...</script>
......@@ -358,6 +463,7 @@ def sympy_check2():
<responseparam description="Numerical Tolerance" type="tolerance" default="0.00001" name="tol"/>
</customresponse>'''}]
response_tag = 'customresponse'
allowed_inputfields = ['textline','textbox']
def setup_response(self):
......@@ -402,7 +508,7 @@ def sympy_check2():
else:
self.code = answer.text
def get_score(self, student_answers, old_cmap):
def get_score(self, student_answers):
'''
student_answers is a dict with everything from request.POST, but with the first part
of each key removed (the string before the first "_").
......@@ -540,6 +646,8 @@ class SymbolicResponse(CustomResponse):
</text>
</problem>'''}]
response_tag = 'symbolicresponse'
def setup_response(self):
self.xml.set('cfn','symmath_check')
code = "from symmath import *"
......@@ -548,7 +656,7 @@ class SymbolicResponse(CustomResponse):
#-----------------------------------------------------------------------------
class ExternalResponse(GenericResponse):
class ExternalResponse(LoncapaResponse):
'''
Grade the students input using an external server.
......@@ -594,6 +702,7 @@ main()
</answer>
</externalresponse>'''}]
response_tag = 'externalresponse'
allowed_inputfields = ['textline','textbox']
def setup_response(self):
......@@ -647,7 +756,7 @@ main()
return rxml
def get_score(self, student_answers, old_cmap):
def get_score(self, student_answers):
idset = sorted(self.answer_ids)
cmap = CorrectMap()
try:
......@@ -707,7 +816,7 @@ main()
#-----------------------------------------------------------------------------
class FormulaResponse(GenericResponse):
class FormulaResponse(LoncapaResponse):
'''
Checking of symbolic math response using numerical sampling.
'''
......@@ -729,6 +838,8 @@ class FormulaResponse(GenericResponse):
</problem>'''}]
response_tag = 'formularesponse'
hint_tag = 'formulahint'
allowed_inputfields = ['textline']
required_attributes = ['answer']
max_inputfields = 1
......@@ -743,7 +854,7 @@ class FormulaResponse(GenericResponse):
id=xml.get('id'))[0]
self.tolerance = contextualize_text(self.tolerance_xml, context)
except Exception:
self.tolerance = 0
self.tolerance = '0.00001'
ts = xml.get('type')
if ts is None:
......@@ -757,11 +868,16 @@ class FormulaResponse(GenericResponse):
else: # Default
self.case_sensitive = False
def get_score(self, student_answers, old_cmap):
variables=self.samples.split('@')[0].split(',')
numsamples=int(self.samples.split('@')[1].split('#')[1])
def get_score(self, student_answers):
given = student_answers[self.answer_id]
correctness = self.check_formula(self.correct_answer, given, self.samples)
return CorrectMap(self.answer_id, correctness)
def check_formula(self,expected, given, samples):
variables=samples.split('@')[0].split(',')
numsamples=int(samples.split('@')[1].split('#')[1])
sranges=zip(*map(lambda x:map(float, x.split(",")),
self.samples.split('@')[1].split('#')[0].split(':')))
samples.split('@')[1].split('#')[0].split(':')))
ranges=dict(zip(variables, sranges))
for i in range(numsamples):
......@@ -771,23 +887,26 @@ class FormulaResponse(GenericResponse):
value = random.uniform(*ranges[var])
instructor_variables[str(var)] = value
student_variables[str(var)] = value
instructor_result = evaluator(instructor_variables,dict(),self.correct_answer, cs = self.case_sensitive)
#log.debug('formula: instructor_vars=%s, expected=%s' % (instructor_variables,expected))
instructor_result = evaluator(instructor_variables,dict(),expected, cs = self.case_sensitive)
try:
#print student_variables,dict(),student_answers[self.answer_id]
student_result = evaluator(student_variables,dict(),
student_answers[self.answer_id],
#log.debug('formula: student_vars=%s, given=%s' % (student_variables,given))
student_result = evaluator(student_variables,
dict(),
given,
cs = self.case_sensitive)
except UndefinedVariable as uv:
log.debbug('formularesponse: undefined variable in given=%s' % given)
raise StudentInputError(uv.message+" not permitted in answer")
except:
except Exception, err:
#traceback.print_exc()
log.debug('formularesponse: error %s in formula' % err)
raise StudentInputError("Error in formula")
if numpy.isnan(student_result) or numpy.isinf(student_result):
return CorrectMap(self.answer_id, "incorrect")
return "incorrect"
if not compare_with_tolerance(student_result, instructor_result, self.tolerance):
return CorrectMap(self.answer_id, "incorrect")
return CorrectMap(self.answer_id, "correct")
return "incorrect"
return "correct"
def strip_dict(self, d):
''' Takes a dict. Returns an identical dict, with all non-word
......@@ -799,13 +918,30 @@ class FormulaResponse(GenericResponse):
isinstance(d[k], numbers.Number)])
return d
def check_hint_condition(self,hxml_set,student_answers):
given = student_answers[self.answer_id]
hints_to_show = []
for hxml in hxml_set:
samples = hxml.get('samples')
name = hxml.get('name')
correct_answer = contextualize_text(hxml.get('answer'),self.context)
try:
correctness = self.check_formula(correct_answer, given, samples)
except Exception,err:
correctness = 'incorrect'
if correctness=='correct':
hints_to_show.append(name)
log.debug('hints_to_show = %s' % hints_to_show)
return hints_to_show
def get_answers(self):
return {self.answer_id:self.correct_answer}
#-----------------------------------------------------------------------------
class SchematicResponse(GenericResponse):
class SchematicResponse(LoncapaResponse):
response_tag = 'schematicresponse'
allowed_inputfields = ['schematic']
def setup_response(self):
......@@ -817,7 +953,7 @@ class SchematicResponse(GenericResponse):
else:
self.code = answer.text
def get_score(self, student_answers, old_cmap):
def get_score(self, student_answers):
from capa_problem import global_context
submission = [json.loads(student_answers[k]) for k in sorted(self.answer_ids)]
self.context.update({'submission':submission})
......@@ -831,7 +967,7 @@ class SchematicResponse(GenericResponse):
#-----------------------------------------------------------------------------
class ImageResponse(GenericResponse):
class ImageResponse(LoncapaResponse):
"""
Handle student response for image input: the input is a click on an image,
which produces an [x,y] coordinate pair. The click is correct if it falls
......@@ -847,13 +983,14 @@ class ImageResponse(GenericResponse):
<imageinput src="image2.jpg" width="210" height="130" rectangle="(12,12)-(40,60)" />
</imageresponse>'''}]
response_tag = 'imageresponse'
allowed_inputfields = ['imageinput']
def setup_response(self):
self.ielements = self.inputfields
self.answer_ids = [ie.get('id') for ie in self.ielements]
def get_score(self, student_answers, old_cmap):
def get_score(self, student_answers):
correct_map = CorrectMap()
expectedset = self.get_answers()
......@@ -884,3 +1021,10 @@ class ImageResponse(GenericResponse):
def get_answers(self):
return dict([(ie.get('id'),ie.get('rectangle')) for ie in self.ielements])
#-----------------------------------------------------------------------------
# TEMPORARY: List of all response subclasses
# FIXME: To be replaced by auto-registration
__all__ = [ NumericalResponse, FormulaResponse, CustomResponse, SchematicResponse, MultipleChoiceResponse, TrueFalseResponse, ExternalResponse, ImageResponse, OptionResponse, SymbolicResponse ]
......@@ -7,6 +7,11 @@ from calc import evaluator, UndefinedVariable
def compare_with_tolerance(v1, v2, tol):
''' Compare v1 to v2 with maximum tolerance tol
tol is relative if it ends in %; otherwise, it is absolute
- v1 : student result (number)
- v2 : instructor result (number)
- tol : tolerance (string or number)
'''
relative = "%" in tol
if relative:
......
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