def test_map_list_N_uniform(mylib):
from seamless.highlevel import Context, Cell
ctx = Context()
ctx.include(mylib.map_list_N)
ctx.add = Context()
ctx.add.uniform = Cell("mixed")
ctx.add.inp = Context()
ctx.add.inp.a = Cell("mixed")
ctx.add.inp.b = Cell("mixed")
def add(a, b, c):
print("ADD", a, b, c)
return a + b + c
ctx.add.tf = add
ctx.add.tf.debug = True
ctx.add.tf.a = ctx.add.inp.a
ctx.add.tf.b = ctx.add.inp.b
ctx.add.tf.c = ctx.add.uniform
ctx.add.result = ctx.add.tf
ctx.add.result.celltype = "int"
ctx.compute()
ctx.a = [110, 120, 130, 140]
ctx.a.hash_pattern = {"!": "#"}
ctx.b = [2, 4, 8, 12]
ctx.b.hash_pattern = {"!": "#"}
ctx.c = 7000
ctx.result = Cell()
ctx.mapping = ctx.lib.map_list_N(context_graph=ctx.add,
inp={
"a": ctx.a,
"b": ctx.b,
},
uniform=ctx.c,
result=ctx.result,
elision=True,
elision_chunksize=2)
ctx.compute()
print(ctx.result.value)
ctx.c = 8000
ctx.compute()
print(ctx.result.value)
print("*" * 80)
print("b", ctx.b.exception)
print("b", ctx.b.value)
print("*" * 80)
ctx.a = "test2"
ctx.compute()
print("*" * 80)
print("a", ctx.a.exception)
print("a", ctx.a.value)
print("*" * 80)
print("b", ctx.b.exception)
print("b", ctx.b.value)
print("*" * 80)
ctx.c = Cell()
ctx.c.celltype = "float"
ctx.translate()
ctx.c._get_cell().set_buffer(b"'blah'\n")
ctx.compute()
print("c", ctx.c.exception)
print(ctx.c.buffer)
print()
print("*" * 80)
print("* TRANSFORMER")
print("*" * 80)
print()
ctx.tf = lambda x, y: x + y
ctx.tf.pins.x.celltype = "int"
ctx.tf.pins.y.celltype = "int"
from seamless.highlevel import Context, Cell
ctx = Context()
ctx.a = Cell("int").set(10)
ctx.c = Cell("int").set(30)
ctx.s = Cell()
ctx.translate()
ctx.s.a = ctx.a
ctx.s.c = ctx.c
ctx.ss = ctx.s
ctx.ss.celltype = "plain"
ctx.compute()
print(ctx.s.value)
print(ctx.ss.value)
ctx.s.set("NOT TO BE PRINTED")
ctx.compute()
print(ctx.s.value)
print(ctx.ss.value)
print(ctx.s.exception)
print("")
ctx.s = "NOT TO BE PRINTED 2"
ctx.s.a = ctx.a
ctx.s.c = ctx.c
ctx.compute()
print(ctx.s.value)
print(ctx.ss.value)
print(ctx.s.exception)
print("")
ctx.s.set({})
ctx.compute()
print(ctx.s.value)
print(ctx.ss.value)
tf_code = '''
print(__name__)
print(testmodule)
print(testmodule.q)
from .testmodule import q
print(q)
import sys
print([m for m in sys.modules if m.find("testmodule") > -1])
result = a + b
'''
from seamless.highlevel import Transformer, Cell, Context
ctx = Context()
ctx.testmodule = Cell("plain").set({
"type": "interpreted",
"language": "python",
"code": "q = 10"
})
ctx.tf = Transformer(code=tf_code)
ctx.tf.a = 10
ctx.tf.b = 20
ctx.tf.testmodule = ctx.testmodule
ctx.tf.pins.testmodule.celltype = "plain"
ctx.tf.pins.testmodule.subcelltype = "module"
ctx.c = ctx.tf
ctx.compute()
print(ctx.testmodule.status)
print(ctx.tf.status)
print(ctx.tf.exception)
print(ctx.c.value)
from seamless.highlevel import Context, Cell, Transformer
ctx = Context()
ctx.a = Cell("int").set(10)
ctx.a.share(readonly=False)
ctx.b = Cell("int").set(20)
ctx.b.share(readonly=False)
ctx.c = Cell("int").set(30).share()
ctx.tf = lambda a,b: a+b
ctx.tf.a = ctx.a
ctx.tf.b = ctx.b
ctx.c = ctx.tf
ctx.translate()
ctx.save_graph("initial-graph.seamless")
ctx.save_zip("initial-graph.zip")
from seamless.highlevel import Context
ctx = Context()
ctx.a = {}
ctx.translate()
ctx.a.b = 12
ctx.compute()
print(ctx.a.value, ctx.a.value.data)
print(type(ctx.a.value), type(ctx.a.value.data))
ctx.a.example.b = 1.1
ctx.compute()
print(ctx.a.value, ctx.a.value.data, ctx.a.schema)
ctx.tf = lambda x, y: x + y
ctx.tf.x = ctx.a.b
ctx.c = 20
ctx.tf.y = ctx.c
ctx.d = ctx.tf
ctx.compute()
print(ctx.d.value) #32
print(ctx.tf.inp.value)
print()
print("Stage 2")
ctx.f0 = 20
ctx.q = {}
ctx.translate()
ctx.q.c = ctx.c
ctx.q.d = ctx.d
ctx.q.f = ctx.f0
ctx.q.g = 50
from seamless.highlevel import Context
ctx = Context()
def add(a, b):
return a + b
ctx.a = 10
ctx.b = 20
ctx.add = add
ctx.add.a = ctx.a
ctx.add.b = ctx.b
ctx.c = ctx.add
ctx.compute()
print(ctx.c.value)
ctx.a.celltype = "plain"
ctx.a.mount("/tmp/a")
ctx.b.celltype = "plain"
ctx.b.mount("/tmp/b")
ctx.c.celltype = "plain"
ctx.c.mount("/tmp/c", mode="w")
ctx.add.code.mount("/tmp/code.py")
ctx.compute()
def func2(b, c, d):
return b + 10 * c - d
ctx.tf = func2
ctx.tf.d = 5
ctx.compute()
print(ctx.tf.status)
print(ctx.tf.exception)
print(ctx.tf.inp.value)
print(ctx.tf.result.value)
graph = ctx.get_graph()
dummy = Context()
dummy.c = graph
dummy.c.celltype = "plain"
dummy.compute()
print(dummy.c.checksum)
ctx = Context()
ctx.tf = func2
ctx.a = 10
ctx.b = 20
ctx.tf.b = ctx.b
ctx.tf.c = 80
ctx.tf.d = 5
ctx.tf.inp.x = 123
ctx.compute()
print(ctx.tf.status)