yml
451 BDocker Compose File (YAML)
A sample docker-compose file defining a web service with Postgres and Redis dependencies, for testing Compose parsers and YAML tooling.
- File
- YML · Config
- Use case
- Config testingConversion testing
Explore the test library
Find files, editable templates and browser test targets by what you need to make or test. The directory below is cut by format; the two collections under it cut the same library by subject and by workflow.
1255 results
Page 16 of 53; 24 results per page.
yml
98 BDocker Compose Override (YAML)
Sample docker-compose override file for merge/extends parser tests.
- File
- YML · Config
- Use case
- Config testingConversion testing
log
2.4 KBDocker Container Log: json-file driver (log)
A Docker json-file container log: one JSON object per line with the log text, stream (stdout/stderr), and an RFC 3339 timestamp, exactly as Docker's default logging driver writes it. A fixture for container-log shippers and parsers.
- File
- LOG · Logs
- Use case
- Log parsingObservability+1
dockerfile
419 BDockerfile (multi-stage)
A sample multi-stage Dockerfile with a build stage and a slim runtime stage, for testing Dockerfile parsers, linters (hadolint), and syntax highlighting. Illustrative only.
- File
- DOCKERFILE · Config
- Use case
- Config testingConversion testing
drawio
1.5 KBdraw.io Diagram (XML)
A draw.io (diagrams.net) diagram in its native mxGraphModel XML (a small flowchart) for testing draw.io import/export and XML parsing of diagram files.
- File
- DRAWIO · Diagrams
- Use case
- Conversion testingEditor testing· Conversion set
csv
33.1 KBE-commerce Customers (CSV, 500 rows)
A realistic e-commerce customer directory (500 rows): part of a relational dataset (products, customers, orders) with CSV, JSON, SQL, and Parquet twins for testing joins, imports, and conversion.
- File
- CSV · Ecommerce · 500 rows
- Use case
- Data importConversion testing+1· Conversion set
json
88.7 KBE-commerce Customers (JSON, 500 records)
The e-commerce customers table as a JSON array: the format twin of the CSV, for import and conversion testing.
- File
- JSON · Ecommerce · 500 records
- Use case
- Data importConversion testing· Conversion set
sql
12.2 KBE-commerce Database Schema (SQL)
A relational SQL schema (products, customers, orders with primary and foreign keys) plus sample INSERTs: the DDL twin of the e-commerce dataset, for testing schema import and migrations.
- File
- SQL · Ecommerce
- Use case
- Data importConversion testing
csv
77.6 KBE-commerce Orders (CSV, 2000 rows)
A realistic e-commerce order lines (customer_id → customers, product_id → products) (2000 rows): part of a relational dataset (products, customers, orders) with CSV, JSON, SQL, and Parquet twins for testing joins, imports, and conversion.
- File
- CSV · Ecommerce · 2,000 rows
- Use case
- Data importConversion testing+1· Conversion set
json
337.3 KBE-commerce Orders (JSON, 2000 records)
The e-commerce orders table as a JSON array: the format twin of the CSV, for import and conversion testing.
- File
- JSON · Ecommerce · 2,000 records
- Use case
- Data importConversion testing· Conversion set
parquet
31.5 KBE-commerce Orders (Parquet, 2000 rows)
The e-commerce orders table as Apache Parquet: the columnar twin, for testing analytics engines (pandas, DuckDB, Spark).
- File
- PARQUET · Ecommerce · 2,000 rows
- Use case
- Data engineeringConversion testing· Conversion set
csv
10.9 KBE-commerce Products (CSV, 200 rows)
A realistic e-commerce product catalogue (200 rows): part of a relational dataset (products, customers, orders) with CSV, JSON, SQL, and Parquet twins for testing joins, imports, and conversion.
- File
- CSV · Ecommerce · 200 rows
- Use case
- Data importConversion testing+1· Conversion set
json
33.9 KBE-commerce Products (JSON, 200 records)
The e-commerce products table as a JSON array: the format twin of the CSV, for import and conversion testing.
- File
- JSON · Ecommerce · 200 records
- Use case
- Data importConversion testing· Conversion set
parquet
7.6 KBE-commerce Products (Parquet, 200 rows)
The e-commerce products table as Apache Parquet: the columnar twin, for testing analytics engines (pandas, DuckDB, Spark).
- File
- PARQUET · Ecommerce · 200 rows
- Use case
- Data engineeringConversion testing· Conversion set
key
119 BEd25519 Private Key (PEM)
An Ed25519 private key in PKCS#8 PEM, derived from a fixed seed: a published, sample-only modern elliptic-curve key for testing PEM parsers and Ed25519 tooling. Never use it for real.
- File
- KEY · Security
vcf
457 BEmbedded-Photo Contact - vCard 2.1
A fictional contact carrying the same tiny portrait in the version-specific photo syntax used by vCard 2.1, 3.0 and 4.0. This member uses vCard 2.1 syntax.
- File
- VCF · Calendar Contacts
- Use case
- Contact parsingConversion testing· Conversion set
vcf
452 BEmbedded-Photo Contact - vCard 3.0
A fictional contact carrying the same tiny portrait in the version-specific photo syntax used by vCard 2.1, 3.0 and 4.0. This member uses vCard 3.0 syntax.
- File
- VCF · Calendar Contacts
- Use case
- Contact parsingConversion testing· Conversion set
vcf
454 BEmbedded-Photo Contact - vCard 4.0
A fictional contact carrying the same tiny portrait in the version-specific photo syntax used by vCard 2.1, 3.0 and 4.0. This member uses vCard 4.0 syntax.
- File
- VCF · Calendar Contacts
- Use case
- Contact parsingConversion testing· Conversion set
csv
593 BEmber Lane Pizza: Allergen matrix
Allergen matrix for Ember Lane Pizza. 4 menu items across 18 columns: the fourteen listed allergens plus a count and a sources column naming the ingredient behind every Y. Derived from the recipe lines, so a dish whose recipe contains a dairy ingredient reads Y under milk. 4 of 4 dishes declare at least one allergen.
- File
- CSV · Restaurant Costing · 4 rows
- Use case
- Data importCSV parsing· Paired fixture
csv
490 BEmber Lane Pizza: Allergen matrix missing a menu item
Allergen matrix missing a menu item for Ember Lane Pizza. Intentionally incomplete. 3 rows where the recipes cost 4 menu items. MENU-04 (Basil tomato pizza) has no row, although it has costed recipe lines in plate-costs.csv and sales in sales-mix-pmix.csv. Its correct row would declare: cereals_gluten: Pizza Flour; milk: Mozzarella.
- File
- CSV · Restaurant Costing · 3 rows
- Use case
- Data importError handling+1· Paired fixture
csv
732 BEmber Lane Pizza: Allergen menu as data
Allergen menu as data for Ember Lane Pizza. 4 rows and 21 columns: the menu item id, the printed section, the menu price, the 14 allergen columns, the declared count and the ingredient sources. 4 of 4 dishes declare at least one allergen. Joins to printed-menu.pdf and to plate-costs.csv on menu_item_id.
- File
- CSV · Restaurant Menus · 4 rows
- Use case
- Data importCSV parsing· Paired fixture
csv
606 BEmber Lane Pizza: Allergen menu missing a dish on the menu
Allergen menu missing a dish on the menu for Ember Lane Pizza. Intentionally incomplete. 3 rows where allergen-menu.csv has 4. MENU-01 Margherita pizza is printed on printed-menu.pdf at 17.00 CAD and declares 2 allergens in the costing folder, and it has no row here. The remaining rows are correct.
- File
- CSV · Restaurant Menus · 3 rows
- Use case
- Data importError handling+1· Paired fixture
csv
2.4 KBEmber Lane Pizza: Cleaning schedule
Cleaning schedule for Ember Lane Pizza. 18 tasks across 6 areas and 11 columns, with frequency in days, the responsible role, the chemical and its contact time, the last completion date and a next-due date that is exactly last_completed plus frequency_days. 4 task(s) are overdue at the period end.
- File
- CSV · Restaurant Costing · 18 rows
- Use case
- Data importCSV parsing
json
5.5 KBEmber Lane Pizza: Cost of goods sold document
Cost of goods sold document for Ember Lane Pizza. The same statement as JSON, listing all 24 purchase ids it consumed so the total can be checked against the shared purchases table by id. Totals: opening 3388.69, purchases 3636.18, closing 3914.44, cost of goods sold 3110.43 CAD.
- File
- JSON · Restaurant Costing · UTF-8
- Use case
- Data importJSON parsing+1· Conversion set