Skip to main content

A package providing streams and optional functionality similar to Java streams and optionals.

Project description

jstreams

jstreams is a Python library aiming to replicate the Java Streams and Optional functionality. The library is implemented with type safety in mind.

Installation

Use the package manager pip to install jstream.

pip install jstream

Usage

from jstream import Stream

# Applies a mapping function on each element then produces a new string
print(Stream(["Test", "Best", "Lest"]).map(str.upper).collect())
# will output ["TEST", "BEST", "LEST"]

# Filter the stream elements
print(Stream(["Test", "Best", "Lest"])
            .filter(lambda s: s.startswith("T"))
            .collect())
# Will output ['Test']

# isNotEmpty checks if the stream is empty
print(Stream(["Test", "Best", "Lest"])
            .filter(lambda s: s.startswith("T"))
            .isNotEmpty())
# Will output True

# Checks if all elements match a given condition
print(Stream(["Test", "Best", "Lest"]).allMatch(lambda s: s.endswith("est")))
# Will output True

print(Stream(["Test", "Best", "Lest"]).allMatch(lambda s: s.startswith("T")))
# Will output False

# Checks if any element matches a given condition
print(Stream(["Test", "Best", "Lest"]).anyMatch(lambda s: s.startswith("T")))
# Will output True

# Checks if no elements match the given condition
print(Stream(["Test", "Best", "Lest"]).noneMatch(lambda s: s.startswith("T")))
# Will output False

# Gets the first value of the stream as an Opt (optional object)
print(Stream(["Test", "Best", "Lest"])
            .findFirst(lambda s: s.startswith("L"))
            .getActual())
# Will output "Lest"

# Returns the first element in the stream
print(Stream(["Test", "Best", "Lest"]).first())
# Will output "Test"

# cast casts the elements to a different type. Useful if you have a stream
# of base objects and want to get only those of a super class
print(Stream(["Test1", "Test2", 1, 2])
            .filter(lambda el: el == "Test1")
            # Casts the filtered elements to the given type
            .cast(str)
            .first())
# Will output "Test1"

# If the stream elements are Iterables, flatMap will produce a list of all contained items
print(Stream([["a", "b"], ["c", "d"]]).flatMap(list).toList())
# Will output ["a", "b", "c", "d"]

# reduce will produce a single value, my applying the comparator function given as parameter
# in order to decide which value is higher. The comparator function is applied on subsequent elements
# and only the 'highest' one will be kept
print(Stream([1, 2, 3, 4, 20, 5, 6]).reduce(max).getActual())
# Will output 20

# notNull returns a new stream containing only non null elements
print(Stream(["A", None, "B", None, None, "C", None, None]).nonNull().toList())
# Will output ["A", "B", "C"]

License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

jstreams-1.0.5.tar.gz (7.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

jstreams-1.0.5-py3-none-any.whl (7.0 kB view details)

Uploaded Python 3

File details

Details for the file jstreams-1.0.5.tar.gz.

File metadata

  • Download URL: jstreams-1.0.5.tar.gz
  • Upload date:
  • Size: 7.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.3

File hashes

Hashes for jstreams-1.0.5.tar.gz
Algorithm Hash digest
SHA256 cb5c609f38f67ed2702a6e42cdb07cafcff9d68ef03cc06b0d4227ee4de7c420
MD5 62e3fb1fcfb40af0cb4953290759acc2
BLAKE2b-256 95ae9228a1c9bdbff4d4334be0ebb33a746740056e86f834de54ee1c84b9474d

See more details on using hashes here.

File details

Details for the file jstreams-1.0.5-py3-none-any.whl.

File metadata

  • Download URL: jstreams-1.0.5-py3-none-any.whl
  • Upload date:
  • Size: 7.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.3

File hashes

Hashes for jstreams-1.0.5-py3-none-any.whl
Algorithm Hash digest
SHA256 fa609d36af57e44c91909985af6d2211e5eb4d5f248746a799bffcdc2151b05d
MD5 589c4b724d3eaa17f32efb4380e0e1a3
BLAKE2b-256 940954d9f120c424012336e370caa20b7f4f9f3babd3860b7e0622763a1aa584

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page