env
195 BEnvironment File: Development (.env)
SAMPLE .env file (development) for dotenv parser and config-loader tests: placeholders only.
- File
- ENV · 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.
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env
204 BEnvironment File: Production Template (.env)
SAMPLE .env file (production-template) for dotenv parser and config-loader tests: placeholders only.
- File
- ENV · Config
- Use case
- Config testingConversion testing
env
114 BEnvironment File: Testing (.env)
SAMPLE .env file (testing) for dotenv parser and config-loader tests: placeholders only.
- File
- ENV · Config
- Use case
- Config testingConversion testing
json
383 BEvent JSON Schema
Draft-07 JSON Schema describing a SAMPLE event object for domain-specific validator tests.
- File
- JSON · Schema
- Use case
- Schema / OpenAPI testing
json
832 BF bread rustic: outpaint boundary record
Where the original view of rustic sourdough loaves on a wooden board, flour dust, warm bakery light landed inside the expanded frame, as JSON: the rectangle 128,0 to 640,512 in a 768x512 canvas, the padding that produced it, and the 40-pixel feather that means the comparison must be inset. Authored BEFORE the expansion ran, so it is ground truth rather than a rectangle recovered afterwards by matching the original against the result - which is what a consumer would otherwise have to do, and which cannot distinguish a correct offset from a plausible one.
- File
- JSON · Outpaint Borders
- Use case
- Inpainting· Conversion set
json
829 BF coffee pour: outpaint boundary record
Where the original view of close up of coffee being poured into a white cup, steam, cafe counter, shallow depth landed inside the expanded frame, as JSON: the rectangle 0,128 to 512,640 in a 512x768 canvas, the padding that produced it, and the 40-pixel feather that means the comparison must be inset. Authored BEFORE the expansion ran, so it is ground truth rather than a rectangle recovered afterwards by matching the original against the result - which is what a consumer would otherwise have to do, and which cannot distinguish a correct offset from a plausible one.
- File
- JSON · Outpaint Borders
- Use case
- Inpainting· Conversion set
json
830 BF plate pasta: outpaint boundary record
Where the original view of overhead plate of fresh pasta with herbs on a linen cloth, natural window light landed inside the expanded frame, as JSON: the rectangle 0,0 to 512,512 in a 704x512 canvas, the padding that produced it, and the 40-pixel feather that means the comparison must be inset. Authored BEFORE the expansion ran, so it is ground truth rather than a rectangle recovered afterwards by matching the original against the result - which is what a consumer would otherwise have to do, and which cannot distinguish a correct offset from a plausible one.
- File
- JSON · Outpaint Borders
- Use case
- Inpainting· Conversion set
json
831 BF plate salad: outpaint boundary record
Where the original view of overhead colourful garden salad in a ceramic bowl, marble surface, soft daylight landed inside the expanded frame, as JSON: the rectangle 192,0 to 704,512 in a 704x512 canvas, the padding that produced it, and the 40-pixel feather that means the comparison must be inset. Authored BEFORE the expansion ran, so it is ground truth rather than a rectangle recovered afterwards by matching the original against the result - which is what a consumer would otherwise have to do, and which cannot distinguish a correct offset from a plausible one.
- File
- JSON · Outpaint Borders
- Use case
- Inpainting· Conversion set
csv
31.2 KBFake Orders Dataset (CSV, 1000 rows)
A 1000-row orders dataset whose user_id references the users dataset: a relational fixture for testing joins and import flows. Paired with a JSON twin.
- File
- CSV · Fake Datasets · 1,000 rows
- Use case
- Data importConversion testing· Conversion set
json
112.2 KBFake Orders Dataset (JSON, 1000 records)
The 1000-row orders dataset as JSON: the format twin of the CSV version, relational to the users dataset.
- File
- JSON · Fake Datasets · 1,000 records
- Use case
- Data importConversion testing· Conversion set
csv
48.9 KBFake Users Dataset (CSV, 500 rows)
A 500-row dataset of fake but realistic users (name, email, address, date of birth), generated with a fixed seed. Paired with a JSON twin.
- File
- CSV · Fake Datasets · 500 rows
- Use case
- Data importConversion testing· Conversion set
json
87.9 KBFake Users Dataset (JSON, 500 records)
The 500-row users dataset as a JSON array: the format twin of the CSV version, for testing import and conversion.
- File
- JSON · Fake Datasets · 500 records
- Use case
- Data importConversion testing· Conversion set
feather
1.8 KBFeather: Arrow IPC Table
The same table as Feather (Arrow IPC file): the zero-copy on-disk form of an Apache Arrow table. For testing Arrow readers and fast columnar interchange.
- File
- FEATHER · Binary · 5 rows
- Use case
- Conversion testingData engineering· Conversion set
feather
1.1 KBFeather: Dictionary-encoded Column
Feather file with dictionary-encoded strings: Arrow IPC edge-case fixture.
- File
- FEATHER · Columnar
- Use case
- Data importConversion testing
feather
1.2 KBFeather: Null-heavy Columns
Feather/Arrow IPC twin of the null-heavy table, grouped with the Parquet nulls fixture.
- File
- FEATHER · Columnar · 3 rows
- Use case
- Data importConversion testing· Conversion set
json
3.4 KBFHIR R4 Patient Bundle (JSON)
A sample HL7 FHIR R4 bundle with a Patient plus vital-sign Observations, an Encounter, and a Condition: a realistic healthcare-interoperability fixture for testing FHIR parsers and mappers. Synthetic data, not a real person.
- File
- JSON · Healthcare
- Use case
- Data importConversion testing
csv
256 BFieldnote Learning Centre: Attendance summary by course
Attendance summary by course for Fieldnote Learning Centre. 3 courses and a TOTAL row. Attendance is uneven: 66.67 percent on Spreadsheet basics, 83.33 on Customer service and 100.00 on Workshop safety orientation, 83.33 overall. session_slots is enrolments times 2 on every row and sessions_attended plus absences equals it.
- File
- CSV · Education Administration · 4 rows
- Use case
- Data import· Conversion set
csv
548 BFieldnote Learning Centre: Bursary award register
Bursary award register for Fieldnote Learning Centre. 4 awards worth 807.50. Three are a percentage of the fee and apply to every enrolment the learner holds; one is a fixed 120.00 award and applies to that learner's earliest enrolment only, capped at the fee. award_value is a rate for a percentage award and an amount for a fixed one, which is why the column mixes 0.5000 with 120.00.
- File
- CSV · Education Administration · 4 rows
- Use case
- Data import
csv
2 KBFieldnote Learning Centre: Certificate eligibility with three conditions
Certificate eligibility with three conditions for Fieldnote Learning Centre. All 18 enrolments tested against three conditions: the enrolment is complete, the score reaches the pass mark, and both sessions were attended. 7 are eligible. 9 enrolments passed, so 2 passing learners are still ineligible on attendance alone: ENR-04 and ENR-11, each of whom attended 1 of 2 sessions. Every ineligible row names its reasons.
- File
- CSV · Education Administration · 18 rows
- Use case
- Data import
csv
276 BFieldnote Learning Centre: Course capacity and outcome report
Course capacity and outcome report for Fieldnote Learning Centre. 3 courses, each seating 10 and holding 6 enrolments, so every course is at 60.00 percent with 4 seats free. pass_rate_of_completed divides passes by completions, not by enrolments, which is why COURSE-1 reports 60.00 percent from 3 passes out of 5 completions rather than out of 6 enrolments.
- File
- CSV · Education Administration · 3 rows
- Use case
- Data import
csv
408 BFieldnote Learning Centre: Course catalogue with materials
Course catalogue with materials for Fieldnote Learning Centre. 3 courses with their fee, capacity, pass score and the exercise material attached to each. material_characters is the exact length of the markdown exercise held against the course in the operating model, from 197 to 253 characters, so a content-length assertion has a real number to check.
- File
- CSV · Education Administration · 3 rows
- Use case
- Data import
csv
314 BFieldnote Learning Centre: Course fee schedule
Course fee schedule for Fieldnote Learning Centre. 3 courses with the fee broken into tuition, materials and a flat 25.00 registration charge. The three components add up to total_fee on every row: 300.00, 350.00 and 225.00. Every course runs 2 sessions, seats 10 and passes at 70.
- File
- CSV · Education Administration · 3 rows
- Use case
- Data import· Conversion set
json
2.1 KBFieldnote Learning Centre: Education reconciliation assertions
Education reconciliation assertions for Fieldnote Learning Centre. The six identities this set claims with the figure each must produce: 5250.00 of gross fees, 4442.50 net of bursary, 9 passes, 7 certificates, 18 results in both gradebook shapes and 2600.00 of scheduled instalments. It also records both deliberate defects and their exact size.
- File
- JSON · Education Administration · UTF-8
- Use case
- Data import
csv
1.9 KBFieldnote Learning Centre: Enrolment export
Enrolment export for Fieldnote Learning Centre. 18 enrolments over 3 courses and 12 learners, 6 per course. 15 are complete and 9 passed. passed is true only where the enrolment is complete and the score reaches the pass score, which is why 2 rows carry a score at or above 70 and passed false: ENR-17 at 75 and ENR-18 at 82.
- File
- CSV · Education Administration · 18 rows
- Use case
- Data import· Conversion set