2019/11/29(金)
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name: {Project Name} | |
options: | |
bundleIdPrefix: {Bundle ID Prefix} | |
deploymentTarget: | |
iOS: 13.0 | |
xcodeVersion: "11.3.1" # 変わらない? | |
# findCarthageFrameworks: true # 余計なフレームワークまで追加されてしまうためコメントアウト | |
carthageExecutablePath: mint run Carthage/Carthage carthage |
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PRODUCT_NAME := Foo | |
SCHEME_NAME := ${PRODUCT_NAME} | |
WORKSPACE_NAME := ${PRODUCT_NAME}.xcworkspace | |
UI_TESTS_TARGET_NAME := ${PRODUCT_NAME}UITests | |
TEST_SDK := iphonesimulator | |
TEST_CONFIGURATION := Debug | |
TEST_PLATFORM := iOS Simulator | |
TEST_DEVICE ?= iPhone 11 Pro Max | |
TEST_OS ?= 13.3 |
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REVIEW_VERSION := 4.0 | |
REVIEW_CONFIG_FILE ?= config.yml | |
REVIEW_OUTPUT_TYPE ?= pdf | |
REVIEW_BOOKNAME := Foo | |
.DEFAULT_GOAL := help | |
.PHONY: help | |
help: | |
@grep -E '^[a-zA-Z_-]+:.*?# .*$$' $(MAKEFILE_LIST) | sort | awk 'BEGIN {FS = ":[^#]*? #| #"}; {printf "%-18s%s\n", $$1 $$3, $$2}' |
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package packagename | |
class ExamLogic { | |
fun scoreExam(point: Int): String { | |
if (point < 0 || point > 100) { | |
return "変な値を送るな!" | |
} | |
if (point < 30) { | |
return "赤点です!" | |
} |
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package packagename | |
import org.junit.After | |
import org.junit.Assert.assertEquals | |
import org.junit.Before | |
import org.junit.Test | |
class ExamLogicTest { | |
// region Stored Instance Properties |
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package packagename | |
class ExamLogic { | |
fun scoreExam(point: Int): String = | |
when (point) { | |
in 0..29 -> "赤点です!" | |
in 30..79 -> "まあまあです!" | |
in 80..99 -> "やるじゃん!" | |
100 -> "天才です!" | |
else -> "変な値を送るな!" |
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# デフォルト有効で無効にするルール | |
disabled_rules: | |
#- block_based_kvo | |
#- class_delegate_protocol | |
#- closing_brace | |
#- closure_parameter_position | |
#- colon | |
#- comma | |
#- compiler_protocol_init | |
#- control_statement |
iOSDC 2020のパンフレットに寄稿した「GitHub ActionsでiOSアプリをCIする個人的ベストプラクティス」の補足資料です。
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// ref: https://developer.apple.com/documentation/foundation/nslinguistictagger | |
// ref: https://developer.apple.com/documentation/foundation/nslinguistictagger/1410036-enumeratetags | |
// ref: https://dev.classmethod.jp/articles/ios10-morphological-analysis-from-speechrecognizer/ | |
import Foundation | |
private func analyzeText(_ text: String, scheme: NSLinguisticTagScheme) { | |
let tagger = NSLinguisticTagger(tagSchemes: NSLinguisticTagger.availableTagSchemes(forLanguage: "ja"), options: 0) | |
tagger.string = text | |
tagger.enumerateTags( |
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