def main(argv=None):
argv = argv or sys.argv[1:]
p = argparse.ArgumentParser()
p.add_argument("index")
ns = p.parse_args(argv)
repository = repository_from_index(ns.index)
data = collections.defaultdict(list)
for package in sorted(repository.iter_packages(),
key=operator.attrgetter("name")):
data["packages"].append(requirements_string(package))
data = dict(data)
yaml.safe_dump(data, sys.stdout, allow_unicode=True,
default_flow_style=False)
def main(argv=None):
argv = argv or sys.argv[1:]
p = argparse.ArgumentParser()
p.add_argument("index")
ns = p.parse_args(argv)
repository = repository_from_index(ns.index)
data = collections.defaultdict(list)
for package in sorted(repository.iter_packages(),
key=operator.attrgetter("name")):
data["packages"].append(requirements_string(package))
data = dict(data)
yaml.safe_dump(data,
sys.stdout,
allow_unicode=True,
default_flow_style=False)
# Step 2: recurse
for dependency in best_dependencies:
solution = optimize_at_level(pool, dependency, new_rules, solution)
return solution
def optimize(pool, requirement, rules):
best_package = find_best_candidate(pool, requirement, rules)
solution = [best_package]
return optimize_at_level(pool, best_package, rules, solution)
if __name__ == '__main__':
repository = repository_from_index("full_index.json")
pool = Pool([repository])
requirement_str = "scikit_learn < 0.14"
requirement = Requirement._from_string(requirement_str)
request = Request()
request.install(requirement)
rules_generator = RulesGenerator(pool, request)
rules = list(rules_generator.iter_rules())
solution = optimize(pool, requirement, rules)
for decision in solution:
print(decision.name, str(decision.version))
# Step 2: recurse
for dependency in best_dependencies:
solution = optimize_at_level(pool, dependency, new_rules, solution)
return solution
def optimize(pool, requirement, rules):
best_package = find_best_candidate(pool, requirement, rules)
solution = [best_package]
return optimize_at_level(pool, best_package, rules, solution)
if __name__ == '__main__':
repository = repository_from_index("full_index.json")
pool = Pool([repository])
requirement_str = "scikit_learn < 0.14"
requirement = Requirement._from_string(requirement_str)
request = Request()
request.install(requirement)
rules_generator = RulesGenerator(pool, request)
rules = list(rules_generator.iter_rules())
solution = optimize(pool, requirement, rules)
for decision in solution:
print(decision.name, str(decision.version))
