def merged_interval_should_follow_spec(i, j, result):
i = Interval(*i)
j = Interval(*j)
k = i | j
the(k.begin).should.equal(result[0])
the(k.end).should.equal(result[1])
k = j | i
the(k.begin).should.equal(result[0])
the(k.end).should.equal(result[1])
def merged_interval_should_follow_spec(i, j, result):
i = Interval(*i)
j = Interval(*j)
k = i | j
the(k.begin).should.equal(result[0])
the(k.end).should.equal(result[1])
k = j | i
the(k.begin).should.equal(result[0])
the(k.end).should.equal(result[1])
def intersect_interval_should_follow_spec(i, j, result):
i = Interval(*i)
j = Interval(*j)
if result is None:
this(i & j).should.be(None)
this(j & i).should.be(None)
return
k = i & j
the(k.begin).should.equal(result[0])
the(k.end).should.equal(result[1])
k = j & i
the(k.begin).should.equal(result[0])
the(k.end).should.equal(result[1])
def intersect_interval_should_follow_spec(i, j, result):
i = Interval(*i)
j = Interval(*j)
if result is None:
this(i & j).should.be(None)
this(j & i).should.be(None)
return
k = i & j
the(k.begin).should.equal(result[0])
the(k.end).should.equal(result[1])
k = j & i
the(k.begin).should.equal(result[0])
the(k.end).should.equal(result[1])
# standard library imports
# third party realted imports
from pyspecs import and_, as_well_as, given, it, provided, so, the, then, this, when
# local library imports
from Thor.utils.Rectangle import Rectangle, TextRectangle
with given.a_TextRectangle:
with provided.there_is_a_word_object:
w = {'x': 1, 'y': 2, 'w': 3, 'h': 4, 't': u'ABC'}
with then.it_can_be_created_directly:
tr = TextRectangle(w['x'], w['y'], w['w'], w['h'], w['t'])
the(tr.x).should.equal(1)
the(tr.y).should.equal(2)
the(tr.w).should.equal(3)
the(tr.h).should.equal(4)
the(tr.t).should.equal(u'ABC')
with and_.it_can_be_created_by_calling_create_method:
tr = TextRectangle.create(w)
the(tr.x).should.equal(1)
the(tr.y).should.equal(2)
the(tr.w).should.equal(3)
the(tr.h).should.equal(4)
the(tr.t).should.equal(u'ABC')
del w
with provided.two_intervals_are_disjoint:
merged_interval_should_follow_spec((0, 10), (15, 20), (0, 20))
with provided.two_intervals_are_partly_overlapping:
merged_interval_should_follow_spec((0, 10), (5, 15), (0, 15))
with provided.one_interval_includes_the_other:
merged_interval_should_follow_spec((0, 10), (5, 8), (0, 10))
with given.an_interval:
i = Interval(0, 10)
with then.the_length_should_be_correct:
the(i.length).should.equal(10)
with given.two_intervals:
with provided.have_the_same_left_tip_but_distince_right_tip:
i = Interval(0, 10)
j = Interval(0, 5)
this(i).should_NOT.equal(j)
with provided.have_the_same_right_tip_but_distinct_left_tip:
i = Interval(5, 10)
j = Interval(0, 10)
this(i).should_NOT.equal(j)
with provided.the_same_left_right_tips:
i = Interval(0, 10)
with then.bleed_box_should_be_correct:
bboxes_almost_the_same(bleed_box, bboxes['bleed'])
with then.trim_box_should_be_correct:
bboxes_almost_the_same(trim_box, bboxes['trim'])
with then.art_box_should_be_correct:
bboxes_almost_the_same(art_box, bboxes['art'])
sample_pdf = os.path.join(curr_dir, 'fixture', 'test2.pdf')
with when.extract_texts_from_it:
with then.default_is_to_extract_from_all_pages:
pages = PDFPage.extract_texts(sample_pdf)
the(len(pages)).should.equal(4)
for ix, page in enumerate(pages):
the(page.page_num).should.equal(ix + 1)
with and_.it_can_extract_specified_pages_as_well:
pages = PDFPage.extract_texts(sample_pdf, (1, 3,))
the(len(pages)).should.equal(2)
the(pages[0].page_num).should.equal(1)
the(pages[1].page_num).should.equal(3)
with and_.no_space_is_included:
pages = PDFPage.extract_texts(sample_pdf)
for page in pages:
for word in page.words:
the(word.t).should_NOT.be_in((' ', u'\u2003'))
with closing(open(sample_json)) as f:
preprocessor = RawTextPreprocessor(
sample_pdf,
PDFPage.loads(f.read().decode('utf8'))
)
with then.it_extracts_texts_in_content_stream_order:
raw_texts = preprocessor.page.extract_raw_texts(sample_pdf, 1)
with closing(open(sample_raw)) as f:
expected = f.read().decode('utf8').splitlines()
# XXX The last raw stream is form feed, we ignore it.
for i in xrange(22):
the(raw_texts[i]).should.equal(expected[i])
with then.each_word_obj_should_locate_itself_in_every_possible_raw_stream:
ground_truth = (
# 0
(u'時尚雜誌', ((0, 0, 4),)),
(u'國際中文版', ((1, 0, 5),)),
(u'2012', ((2, 0, 4),)),
(u'MAY.', ((2, 5, 9),)),
(u'五月號', ((3, 0, 3),)),
# 5
(u'×', ((8, 0, 1), (21, 0, 1),)),
(u'iP', ((10, 0, 2),)),
(u'ad', ((10, 2, 4),)),
(u'version', ((11, 0, 7),)),
# standard library imports
import random
# third party related imports
from pyspecs import and_, given, provided, the, then, this, when
# local library imports
from Thor.utils.Rectangle import Point, Rectangle
with given.a_rectangle:
r = Rectangle(0, 0, 4, 3)
with then.can_calculate_its_area_correctly:
the(r.area).should.equal(4 * 3)
with then.its_vertices_can_be_correctly_enumerated:
vertices = r.vertices
the(vertices[0]).should.equal(Point(0, 0))
the(vertices[1]).should.equal(Point(4, 0))
the(vertices[2]).should.equal(Point(4, 3))
the(vertices[3]).should.equal(Point(0, 3))
with given.two_rectangles:
with when.find_intersection_of_these_two_rectangles:
with provided.they_share_an_edge:
game.roll(pins)
return game
from pyspecs import given, when, then, the, finish
with given.a_game_with_all_gutter_balls:
game = roll_game([0] * 20)
with when.the_score_is_calculated:
score = game.score()
with then.the_score_should_be_zero:
the(score).should.equal(0)
with given.a_game_with_all_ones:
game = roll_game([1] * 20)
with when.the_score_is_calculated:
score = game.score()
with then.the_score_should_be_twenty:
the(score).should.equal(20)
with given.a_game_with_one_spare:
game = roll_game([4, 6, 3] + [0] * 17)
)
with then.it_can_extract_all_font_specs_used_by_a_pdf_page:
ground_truths = [
FontSpec(size=6, color="221714"),
FontSpec(size=5, color="221714"),
FontSpec(size=38, color="221714"),
FontSpec(size=27, color="221714"),
FontSpec(size=8, color="221714"),
FontSpec(size=4, color="000000"),
]
ground_truths.sort(key=lambda fs: fs.size)
font_specs = preprocessor.font_specs
font_specs.sort(key=lambda fs: fs.size)
the(len(font_specs)).should.equal(len(ground_truths))
for truth, spec in zip(ground_truths, font_specs):
the(truth.size).should.equal(spec.size)
the(truth.color).should.equal(spec.color)
with then.it_can_figure_out_the_font_spec_of_a_textual_object:
ground_truths = [
{
'top': 772 - 36.85, 'left': 28 - 36.85,
'width': 4, 'height': 9,
'text': u'9', 'font': FontSpec(size=6, color="221714")
},
{
'top': 566 - 36.85, 'left': 235 - 36.85,
'width': 94, 'height': 8,
# third party realted imports
from pyspecs import and_, as_well_as, given, it, provided, so, the, then, this, when
# local library imports
from Thor.understanding.stat import WordStatistician
from Thor.utils.Rectangle import TextRectangle
with given.a_WordStatistician_and_supply_it_with_some_words:
words = map(
lambda i: TextRectangle(x=1. * i, y=2. * i, w=3. * i, h=4. * i, t=u''),
xrange(10))
ws = WordStatistician(words)
with then.it_can_count_how_many_words_totally:
the(ws.count).should.equal(10)
with and_.it_can_calculate_average_width_of_textual_objects:
the(abs(ws.avg_width - 3. * 4.5)).should.be_less_than(1.0e-3)
with and_.it_can_calculate_average_height_of_textual_objects:
the(abs(ws.avg_height - 4. * 4.5)).should.be_less_than(1.0e-3)
with and_.it_can_calculate_variance_of_width_of_textual_objects:
the(abs(ws.var_width - 3. * 3. * 8.25)).should.be_less_than(1.0e-3)
with and_.it_can_calculate_variance_of_height_of_textual_objects:
the(abs(ws.var_height - 4. * 4. * 8.25)).should.be_less_than(1.0e-3)
with and_.it_can_calculate_median_of_width_of_textual_objects:
words = [
# third party realted imports
from pyspecs import and_, as_well_as, given, it, provided, so, the, then, this, when
# local library imports
from Thor.utils.Rectangle import Rectangle, TextRectangle
with given.a_TextRectangle:
with provided.there_is_a_word_object:
w = {'x': 1, 'y': 2, 'w': 3, 'h': 4, 't': u'ABC'}
with then.it_can_be_created_directly:
tr = TextRectangle(w['x'], w['y'], w['w'], w['h'], w['t'])
the(tr.x).should.equal(1)
the(tr.y).should.equal(2)
the(tr.w).should.equal(3)
the(tr.h).should.equal(4)
the(tr.t).should.equal(u'ABC')
with and_.it_can_be_created_by_calling_create_method:
tr = TextRectangle.create(w)
the(tr.x).should.equal(1)
the(tr.y).should.equal(2)
the(tr.w).should.equal(3)
the(tr.h).should.equal(4)
the(tr.t).should.equal(u'ABC')
del w
preprocessor = FontSpecPreprocessor(sample_pdf, PDFPage.loads(pdf_json))
with then.it_can_extract_all_font_specs_used_by_a_pdf_page:
ground_truths = [
FontSpec(size=6, color="221714"),
FontSpec(size=5, color="221714"),
FontSpec(size=38, color="221714"),
FontSpec(size=27, color="221714"),
FontSpec(size=8, color="221714"),
FontSpec(size=4, color="000000"),
]
ground_truths.sort(key=lambda fs: fs.size)
font_specs = preprocessor.font_specs
font_specs.sort(key=lambda fs: fs.size)
the(len(font_specs)).should.equal(len(ground_truths))
for truth, spec in zip(ground_truths, font_specs):
the(truth.size).should.equal(spec.size)
the(truth.color).should.equal(spec.color)
with then.it_can_figure_out_the_font_spec_of_a_textual_object:
ground_truths = [
{
'top': 772 - 36.85,
'left': 28 - 36.85,
'width': 4,
'height': 9,
'text': u'9',
'font': FontSpec(size=6, color="221714")
},
{
with given.a_NaivePreprocessor:
with when.it_normalizes_text_blocks_to_width_1000px:
words = map(lambda i: dict(x=1 * i, y=2 * i, w=3 * i, h=4 * i, t=''),
xrange(10))
preprocessor = NaivePreprocessor(
'test.pdf',
PDFPage(page_num=1,
width=200,
height=200,
words=map(PDFText.create_from_dict, words)))
preprocessor._scale_words(1000 / 200.)
with then.each_word_is_scaled_correctly:
for ix, word in enumerate(preprocessor.words):
the(word['x']).should.equal(5 * 1 * ix)
the(word['y']).should.equal(5 * 2 * ix)
the(word['w']).should.equal(5 * 3 * ix)
the(word['h']).should.equal(5 * 4 * ix)
del preprocessor, words
with when.it_classifies_each_word_into_three_types_of_orientation:
words = [{
'x': 0,
'y': 0,
'w': 200,
'h': 100,
't': u'麗'
}, {
with then.bleed_box_should_be_correct:
bboxes_almost_the_same(bleed_box, bboxes['bleed'])
with then.trim_box_should_be_correct:
bboxes_almost_the_same(trim_box, bboxes['trim'])
with then.art_box_should_be_correct:
bboxes_almost_the_same(art_box, bboxes['art'])
sample_pdf = os.path.join(curr_dir, 'fixture', 'test2.pdf')
with when.extract_texts_from_it:
with then.default_is_to_extract_from_all_pages:
pages = PDFPage.extract_texts(sample_pdf)
the(len(pages)).should.equal(4)
for ix, page in enumerate(pages):
the(page.page_num).should.equal(ix + 1)
with and_.it_can_extract_specified_pages_as_well:
pages = PDFPage.extract_texts(sample_pdf, (
1,
3,
))
the(len(pages)).should.equal(2)
the(pages[0].page_num).should.equal(1)
the(pages[1].page_num).should.equal(3)
with and_.no_space_is_included:
pages = PDFPage.extract_texts(sample_pdf)
for page in pages:
from pyspecs import given, when, then, and_, the, this, finish
with given.two_operands:
a = 2
b = 3
with when.supplied_to_the_add_function:
total = a + b
with then.the_total_should_be_mathmatically_correct:
the(total).should.equal(5)
with and_.the_total_should_be_greater_than_either_operand:
the(total).should.be_greater_than(a)
the(total).should.be_greater_than(b)
with when.supplied_to_the_subtract_function:
difference = b - a
with then.the_difference_should_be_mathmatically_correct:
the(difference).should.equal(1)
# cleanup is just based on scope
del a, b, total, difference
with given.an_error_prone_situation:
with when.an_error_occurs:
result = 1 / 0
from Thor.pdf.page import PDFPage
from Thor.understanding.docspace import DocumentSpace
from Thor.utils.Rectangle import Rectangle, TextRectangle
with given.a_DocumentSpace:
with then.it_can_determines_the_mainly_reading_direction:
curr_dir = os.path.abspath(os.path.dirname(__file__))
sample_json = os.path.join(curr_dir, 'fixture', 'test1.json')
with closing(open(sample_json)) as f:
sample = ujson.loads(f.read().decode('utf8'))
words = map(TextRectangle.create, sample['data'])
ds = DocumentSpace(words)
the(ds.reading_direction).should.equal(DocumentSpace.LEFT_TO_RIGHT)
sample_json = os.path.join(curr_dir, 'fixture', 'test2.json')
with closing(open(sample_json)) as f:
sample = ujson.loads(f.read().decode('utf8'))
words = map(TextRectangle.create, sample['data'])
ds = DocumentSpace(words)
the(ds.reading_direction).should.equal(DocumentSpace.TOP_TO_BOTTOM)
with when.it_tries_to_divide_itself_into_two_subspaces:
words = map(TextRectangle.create, [
{'x': 0, 'y': 0, 'w': 100, 'h': 50, 't': ''},
{'x': 10, 'y': 100, 'w': 50, 'h': 50, 't': ''},
{'x': 500, 'y': 0, 'w': 100, 'h': 25, 't': ''},
from pyspecs import and_, given, provided, the, then, this, when
# local library imports
from Thor.utils.Point import Point
with given.two_random_points:
p1 = Point(random.randint(0, 65536), random.randint(0, 65536))
p2 = Point(random.randint(0, 65536), random.randint(0, 65536))
with when.one_point_adds_the_other:
p3 = p1 + p2
with then.x_coordinate_should_be_correctly_calculated:
the(p3.x).should.equal(p1.x + p2.x)
with then.y_coordinate_should_be_correctly_calculated:
the(p3.y).should.equal(p1.y + p2.y)
with when.one_point_subtracts_the_other:
p3 = p1 - p2
with then.x_coordinate_should_be_correctly_calculated:
the(p3.x).should.equal(p1.x - p2.x)
with then.y_coordinate_should_be_correctly_calculated:
the(p3.y).should.equal(p1.y - p2.y)
with when.negative_a_point:
p3 = -p1
)
with testing.testConfig(request=request, settings=settings) as config:
# Mock ScrapydJobHelper to isolate the test.
with mock.patch('web_runner.views.ScrapydJobHelper') \
as ScrapydJobHelperMock:
with mock.patch('web_runner.db.DbInterface') as DbMock:
helper_mock = ScrapydJobHelperMock.return_value
helper_mock.start_job.return_value = "XXX"
# Pyramid testing doesn't configure resources.
request.route_path = mock.MagicMock()
with when.starting_a_spider:
with then.it_should_redirect_to_pending_state:
the(partial(views.spider_start_view,
request)).should.raise_an(exc.HTTPFound)
with given.a_configuration_with_one_command_and_spider:
settings = {
'command._names': "cmd_cfg",
'command.cmd_cfg.cmd': "command line '{spider 0}'",
'command.cmd_cfg.resource': 'command_resource',
'command.cmd_cfg.content_type': 'application/x-ldjson',
'command.cmd_cfg.crawl.0.spider_config_name': 'spider_cfg',
'spider._names': 'spider_cfg',
'spider._scrapyd.base_url': 'http://localhost:6800/',
'spider._result.base_url': 'http://localhost:8000/',
'spider.spider_cfg.resource': 'spider_resource',
'spider.spider_cfg.spider_name': 'spider_name',
'spider.spider_cfg.project_name': 'spider_project_name',
'db_filename': ":memory:",
# standard library imports
import random
# third party related imports
from pyspecs import and_, given, provided, the, then, this, when
# local library imports
from Thor.utils.Rectangle import Point, Rectangle
with given.a_rectangle:
r = Rectangle(0, 0, 4, 3)
with then.can_calculate_its_area_correctly:
the(r.area).should.equal(4 * 3)
with then.its_vertices_can_be_correctly_enumerated:
vertices = r.vertices
the(vertices[0]).should.equal(Point(0, 0))
the(vertices[1]).should.equal(Point(4, 0))
the(vertices[2]).should.equal(Point(4, 3))
the(vertices[3]).should.equal(Point(0, 3))
with given.two_rectangles:
with when.find_intersection_of_these_two_rectangles:
with provided.they_share_an_edge:
r1 = Rectangle(0, 0, 5, 5)
# local library imports
from Thor.pdf.page import PDFPage
from Thor.understanding.docspace import DocumentSpace
from Thor.utils.Rectangle import Rectangle, TextRectangle
with given.a_DocumentSpace:
with then.it_can_determines_the_mainly_reading_direction:
curr_dir = os.path.abspath(os.path.dirname(__file__))
sample_json = os.path.join(curr_dir, 'fixture', 'test1.json')
with closing(open(sample_json)) as f:
sample = ujson.loads(f.read().decode('utf8'))
words = map(TextRectangle.create, sample['data'])
ds = DocumentSpace(words)
the(ds.reading_direction).should.equal(DocumentSpace.LEFT_TO_RIGHT)
sample_json = os.path.join(curr_dir, 'fixture', 'test2.json')
with closing(open(sample_json)) as f:
sample = ujson.loads(f.read().decode('utf8'))
words = map(TextRectangle.create, sample['data'])
ds = DocumentSpace(words)
the(ds.reading_direction).should.equal(DocumentSpace.TOP_TO_BOTTOM)
with when.it_tries_to_divide_itself_into_two_subspaces:
words = map(TextRectangle.create, [
{
'x': 0,
'y': 0,
'w': 100,
with given.a_NaivePreprocessor:
with when.it_normalizes_text_blocks_to_width_1000px:
words = map(lambda i: dict(x=1 * i, y=2 * i, w=3 * i, h=4 * i, t=''),
xrange(10))
preprocessor = NaivePreprocessor(
'test.pdf',
PDFPage(page_num=1, width=200, height=200,
words=map(PDFText.create_from_dict, words))
)
preprocessor._scale_words(1000 / 200.)
with then.each_word_is_scaled_correctly:
for ix, word in enumerate(preprocessor.words):
the(word['x']).should.equal(5 * 1 * ix)
the(word['y']).should.equal(5 * 2 * ix)
the(word['w']).should.equal(5 * 3 * ix)
the(word['h']).should.equal(5 * 4 * ix)
del preprocessor, words
with when.it_classifies_each_word_into_three_types_of_orientation:
words = [
{'x': 0, 'y': 0, 'w': 200, 'h': 100, 't': u'麗'},
{'x': 0, 'y': 0, 'w': 100, 'h': 100, 't': u'麗寶生活家'},
{'x': 0, 'y': 0, 'w': 200, 'h': 100, 't': u'麗寶生活家'},
{'x': 0, 'y': 0, 'w': 100, 'h': 200, 't': u'麗寶生活家'}
]
with provided.two_intervals_are_disjoint:
merged_interval_should_follow_spec((0, 10), (15, 20), (0, 20))
with provided.two_intervals_are_partly_overlapping:
merged_interval_should_follow_spec((0, 10), (5, 15), (0, 15))
with provided.one_interval_includes_the_other:
merged_interval_should_follow_spec((0, 10), (5, 8), (0, 10))
with given.an_interval:
i = Interval(0, 10)
with then.the_length_should_be_correct:
the(i.length).should.equal(10)
with given.two_intervals:
with provided.have_the_same_left_tip_but_distince_right_tip:
i = Interval(0, 10)
j = Interval(0, 5)
this(i).should_NOT.equal(j)
with provided.have_the_same_right_tip_but_distinct_left_tip:
i = Interval(5, 10)
j = Interval(0, 10)
this(i).should_NOT.equal(j)
with provided.the_same_left_right_tips:
i = Interval(0, 10)
# third party related imports
from pyspecs import and_, given, provided, the, then, this, when
# local library imports
from Thor.utils.Point import Point
with given.two_random_points:
p1 = Point(random.randint(0, 65536), random.randint(0, 65536))
p2 = Point(random.randint(0, 65536), random.randint(0, 65536))
with when.one_point_adds_the_other:
p3 = p1 + p2
with then.x_coordinate_should_be_correctly_calculated:
the(p3.x).should.equal(p1.x + p2.x)
with then.y_coordinate_should_be_correctly_calculated:
the(p3.y).should.equal(p1.y + p2.y)
with when.one_point_subtracts_the_other:
p3 = p1 - p2
with then.x_coordinate_should_be_correctly_calculated:
the(p3.x).should.equal(p1.x - p2.x)
with then.y_coordinate_should_be_correctly_calculated:
the(p3.y).should.equal(p1.y - p2.y)
with when.negative_a_point:
p3 = -p1
# third party related imports
from pyspecs import and_, given, the, then, when
# local library imports
from Thor.utils.Interval import Interval, IntervalList
with given.some_intervals:
with when.two_intervals_are_joint:
i = Interval(0, 10)
j = Interval(10, 20)
interval_list = IntervalList(i, j)
with then.two_intervals_can_be_merged:
the(len(interval_list)).should.equal(1)
with and_.the_begin_of_merged_interval_is_correct:
the(interval_list[0].begin).should.equal(0)
with and_.the_end_of_merged_interval_is_correct:
the(interval_list[0].end).should.equal(20)
with when.intervals_can_be_merged:
i = Interval(0, 10)
j = Interval(15, 20)
k = Interval(9, 11)
interval_list = IntervalList(i, j, k)
the(len(interval_list)).should.equal(2)
the(interval_list[0]).should.equal(Interval(0, 11))
with given.a_configuration_of_a_spider:
settings = {
'spider._names': 'spider_cfg',
'spider._scrapyd.base_url': 'http://localhost:6800/',
'spider._result.base_url': 'http://localhost:8000/',
'spider.spider_cfg.resource': 'spider_resource',
'spider.spider_cfg.spider_name': 'spider_name',
'spider.spider_cfg.project_name': 'spider_project_name',
}
with when.searching_for_that_resource:
config = find_spider_config_from_path(settings, '/spider_resource/')
with then.the_configuration_should_be_found:
the(config).should.equal(
SpiderConfig('spider_name', 'spider_project_name'))
with when.searching_for_an_unexistant_resource:
config = partial(find_command_config_from_path, settings,
'/unexistant/')
config.__name__ = "find_command_config_from_path"
with then.it_should_raise_not_found:
the(config).should.raise_an(exc.HTTPNotFound)
with given.a_configuration_of_a_command_with_one_spider:
settings = {
'spider._names': 'test_spider',
'spider.test_spider.resource': '/spider/resource',
'spider.test_spider.spider_name': 'spider name',
'spider.test_spider.project_name': 'spider project',
sample_raw = os.path.join(curr_dir, 'fixture', 'test1.rtxt')
sample_pdf = os.path.join(curr_dir, 'fixture', 'test1.pdf')
with closing(open(sample_json)) as f:
preprocessor = RawTextPreprocessor(
sample_pdf, PDFPage.loads(f.read().decode('utf8')))
with then.it_extracts_texts_in_content_stream_order:
raw_texts = preprocessor.page.extract_raw_texts(sample_pdf, 1)
with closing(open(sample_raw)) as f:
expected = f.read().decode('utf8').splitlines()
# XXX The last raw stream is form feed, we ignore it.
for i in xrange(22):
the(raw_texts[i]).should.equal(expected[i])
with then.each_word_obj_should_locate_itself_in_every_possible_raw_stream:
ground_truth = (
# 0
(u'時尚雜誌', ((0, 0, 4), )),
(u'國際中文版', ((1, 0, 5), )),
(u'2012', ((2, 0, 4), )),
(u'MAY.', ((2, 5, 9), )),
(u'五月號', ((3, 0, 3), )),
# 5
(u'×', (
(8, 0, 1),
(21, 0, 1),
)),
# TODO: make tests independent of one another (the test framework does not have a before())
# TODO: refactor tests following "effective unit testing" best practices
from Navigator import *
from Rover import *
CARDINAL_POINTS = ('N', 'S', 'E', 'W')
with given.a_rover:
x = 0
y = 0
starting_point = {'x': x, 'y': y}
initial_direction = 'N'
rover = Rover(starting_point, initial_direction)
the(isinstance(rover, Rover)).should.be(True)
with when.supplied_the_starting_point:
with then.the_starting_point_should_have_two_axis:
the(starting_point).should.contain('x')
the(starting_point).should.contain('y')
with then.the_initial_direction_should_belong_to_NSEW:
the(initial_direction in CARDINAL_POINTS).should.be(True)
with when.supplied_with_a_character_command:
with and_.the_rover_should_give_current_position:
the(rover.position).should.be(starting_point)
with and_.the_rover_should_give_current_orientation:
the(rover.orientation).should.be('N')
