def test_full_read(self):
num_files = 9
min_file_size = 1
max_file_size = 5
file_sizes = [randrange(min_file_size, max_file_size)
for i in range(0, num_files)]
files = [MockFile(size) for size in file_sizes]
# Calculate an md5 of all of our files.
z = md5()
for f in files:
z.update(f._content)
expected_size = sum(file_sizes)
expected_md5 = z.hexdigest()
# Pass None to FileCat
fc = FileCat(None)
# Pass empty list to FileCat
fc = FileCat((f for f in range(1, 0)))
# FileCat only takes generators
fc = FileCat((f for f in files))
data = fc.read() # read it all
z = md5()
z.update(data)
computed_md5 = z.hexdigest()
assert len(data) == sum(file_sizes)
assert computed_md5 == expected_md5
def test_small_read(self):
num_files = 7
min_file_size = 0
max_file_size = 10000
file_sizes = [
randrange(min_file_size, max_file_size)
for i in range(0, num_files)
]
files = [MockFile(size) for size in file_sizes]
# Calculate an md5 of all of our files.
z = md5()
for f in files:
z.update(f._content)
expected_size = sum(file_sizes)
expected_md5 = z.hexdigest()
# FileCat only takes generators
fc = FileCat((f for f in files))
z = md5()
bytes_read = 0
while True:
buff = fc.read(99)
assert len(buff) <= 99
if len(buff) == 0:
break # DONE
bytes_read += len(buff)
z.update(buff)
computed_md5 = z.hexdigest()
assert bytes_read == sum(file_sizes)
assert computed_md5 == expected_md5
def test_small_read(self):
num_files = 7
min_file_size = 0
max_file_size = 10000
file_sizes = [randrange(min_file_size, max_file_size)
for i in range(0, num_files)]
files = [MockFile(size) for size in file_sizes]
# Calculate an md5 of all of our files.
z = md5()
for f in files:
z.update(f._content)
expected_size = sum(file_sizes)
expected_md5 = z.hexdigest()
# FileCat only takes generators
fc = FileCat((f for f in files))
z = md5()
bytes_read = 0
while True:
buff = fc.read(99)
assert len(buff) <= 99
if len(buff) == 0:
break # DONE
bytes_read += len(buff)
z.update(buff)
computed_md5 = z.hexdigest()
assert bytes_read == sum(file_sizes)
assert computed_md5 == expected_md5
def test_full_read(self):
num_files = 9
min_file_size = 1
max_file_size = 5
file_sizes = [
randrange(min_file_size, max_file_size)
for i in range(0, num_files)
]
files = [MockFile(size) for size in file_sizes]
# Calculate an md5 of all of our files.
z = md5()
for f in files:
z.update(f._content)
expected_size = sum(file_sizes)
expected_md5 = z.hexdigest()
# Pass None to FileCat
fc = FileCat(None)
# Pass empty list to FileCat
fc = FileCat((f for f in range(1, 0)))
# FileCat only takes generators
fc = FileCat((f for f in files))
data = fc.read() # read it all
z = md5()
z.update(data)
computed_md5 = z.hexdigest()
assert len(data) == sum(file_sizes)
assert computed_md5 == expected_md5
