use anyhow::Result;
use colored::Colorize;
use serde::{Deserialize, Serialize};
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ComponentCoverage {
pub component: String,
pub replaces: String,
pub total_functions: usize,
pub mapped_functions: usize,
pub coverage_rate: f64,
pub mappings: Vec<FunctionMapping>,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct FunctionMapping {
pub python_fn: String,
pub sovereign_fn: Option<String>,
pub status: MigrationStatus,
pub rank: usize,
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq)]
pub enum MigrationStatus {
Mapped,
MappedWithChanges,
Partial,
Unmapped,
Incompatible,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct DashboardReport {
pub timestamp: String,
pub path_b_progress: f64,
pub components: Vec<ComponentCoverage>,
pub compile_rate: Option<f64>,
pub corpus_files: Option<usize>,
}
pub fn get_sklearn_coverage() -> ComponentCoverage {
let mappings = vec![
FunctionMapping {
python_fn: "train_test_split()".to_string(),
sovereign_fn: Some("aprender::model_selection::train_test_split()".to_string()),
status: MigrationStatus::Mapped,
rank: 1,
},
FunctionMapping {
python_fn: "LinearRegression.fit()".to_string(),
sovereign_fn: Some("LinearRegression::new().fit()".to_string()),
status: MigrationStatus::MappedWithChanges,
rank: 2,
},
FunctionMapping {
python_fn: "StandardScaler.fit_transform()".to_string(),
sovereign_fn: Some("StandardScaler::new().fit_transform()".to_string()),
status: MigrationStatus::MappedWithChanges,
rank: 3,
},
FunctionMapping {
python_fn: "KMeans.fit_predict()".to_string(),
sovereign_fn: Some("KMeans::new(k).fit_predict()".to_string()),
status: MigrationStatus::MappedWithChanges,
rank: 4,
},
FunctionMapping {
python_fn: "RandomForestClassifier.fit()".to_string(),
sovereign_fn: Some("RandomForest::new().fit()".to_string()),
status: MigrationStatus::MappedWithChanges,
rank: 5,
},
FunctionMapping {
python_fn: "accuracy_score()".to_string(),
sovereign_fn: Some("aprender::metrics::accuracy()".to_string()),
status: MigrationStatus::Mapped,
rank: 6,
},
FunctionMapping {
python_fn: "cross_val_score()".to_string(),
sovereign_fn: Some("aprender::model_selection::cross_val_score()".to_string()),
status: MigrationStatus::Mapped,
rank: 7,
},
FunctionMapping {
python_fn: "confusion_matrix()".to_string(),
sovereign_fn: Some("aprender::metrics::confusion_matrix()".to_string()),
status: MigrationStatus::Mapped,
rank: 8,
},
FunctionMapping {
python_fn: "PCA.fit_transform()".to_string(),
sovereign_fn: Some("PCA::new(n_components).fit_transform()".to_string()),
status: MigrationStatus::MappedWithChanges,
rank: 9,
},
FunctionMapping {
python_fn: "LogisticRegression.fit()".to_string(),
sovereign_fn: Some("LogisticRegression::new().fit()".to_string()),
status: MigrationStatus::MappedWithChanges,
rank: 10,
},
];
let mapped = mappings
.iter()
.filter(|m| {
m.status == MigrationStatus::Mapped || m.status == MigrationStatus::MappedWithChanges
})
.count();
ComponentCoverage {
component: "aprender".to_string(),
replaces: "sklearn".to_string(),
total_functions: mappings.len(),
mapped_functions: mapped,
coverage_rate: (mapped as f64 / mappings.len() as f64) * 100.0,
mappings,
}
}
pub fn get_numpy_coverage() -> ComponentCoverage {
let mappings = vec![
FunctionMapping {
python_fn: "np.array()".to_string(),
sovereign_fn: Some("Vector::from_slice()".to_string()),
status: MigrationStatus::Mapped,
rank: 1,
},
FunctionMapping {
python_fn: "np.zeros()".to_string(),
sovereign_fn: Some("Vector::zeros()".to_string()),
status: MigrationStatus::Mapped,
rank: 2,
},
FunctionMapping {
python_fn: "np.ones()".to_string(),
sovereign_fn: Some("Vector::ones()".to_string()),
status: MigrationStatus::Mapped,
rank: 3,
},
FunctionMapping {
python_fn: "np.dot()".to_string(),
sovereign_fn: Some("Vector::dot()".to_string()),
status: MigrationStatus::Mapped,
rank: 4,
},
FunctionMapping {
python_fn: "np.sum()".to_string(),
sovereign_fn: Some("Vector::sum()".to_string()),
status: MigrationStatus::Mapped,
rank: 5,
},
FunctionMapping {
python_fn: "np.mean()".to_string(),
sovereign_fn: Some("Vector::mean()".to_string()),
status: MigrationStatus::Mapped,
rank: 6,
},
FunctionMapping {
python_fn: "np.std()".to_string(),
sovereign_fn: Some("Vector::std()".to_string()),
status: MigrationStatus::Mapped,
rank: 7,
},
FunctionMapping {
python_fn: "np.reshape()".to_string(),
sovereign_fn: Some("Matrix::reshape()".to_string()),
status: MigrationStatus::MappedWithChanges,
rank: 8,
},
FunctionMapping {
python_fn: "np.transpose()".to_string(),
sovereign_fn: Some("Matrix::transpose()".to_string()),
status: MigrationStatus::Mapped,
rank: 9,
},
FunctionMapping {
python_fn: "np.matmul()".to_string(),
sovereign_fn: Some("Matrix::matmul()".to_string()),
status: MigrationStatus::Mapped,
rank: 10,
},
];
let mapped = mappings
.iter()
.filter(|m| {
m.status == MigrationStatus::Mapped || m.status == MigrationStatus::MappedWithChanges
})
.count();
ComponentCoverage {
component: "trueno".to_string(),
replaces: "numpy".to_string(),
total_functions: mappings.len(),
mapped_functions: mapped,
coverage_rate: (mapped as f64 / mappings.len() as f64) * 100.0,
mappings,
}
}
pub fn get_pandas_coverage() -> ComponentCoverage {
let mappings = vec![
FunctionMapping {
python_fn: "pd.DataFrame()".to_string(),
sovereign_fn: Some("realizar::DataFrame::new()".to_string()),
status: MigrationStatus::MappedWithChanges,
rank: 1,
},
FunctionMapping {
python_fn: "df.read_csv()".to_string(),
sovereign_fn: Some("realizar::io::read_csv()".to_string()),
status: MigrationStatus::MappedWithChanges,
rank: 2,
},
FunctionMapping {
python_fn: "df.to_csv()".to_string(),
sovereign_fn: Some("realizar::io::write_csv()".to_string()),
status: MigrationStatus::MappedWithChanges,
rank: 3,
},
FunctionMapping {
python_fn: "df.head()".to_string(),
sovereign_fn: Some("DataFrame::head()".to_string()),
status: MigrationStatus::Mapped,
rank: 4,
},
FunctionMapping {
python_fn: "df.tail()".to_string(),
sovereign_fn: Some("DataFrame::tail()".to_string()),
status: MigrationStatus::Mapped,
rank: 5,
},
FunctionMapping {
python_fn: "df.describe()".to_string(),
sovereign_fn: Some("DataFrame::describe()".to_string()),
status: MigrationStatus::Partial,
rank: 6,
},
FunctionMapping {
python_fn: "df.groupby()".to_string(),
sovereign_fn: Some("DataFrame::group_by()".to_string()),
status: MigrationStatus::MappedWithChanges,
rank: 7,
},
FunctionMapping {
python_fn: "df.merge()".to_string(),
sovereign_fn: Some("DataFrame::join()".to_string()),
status: MigrationStatus::MappedWithChanges,
rank: 8,
},
FunctionMapping {
python_fn: "df.fillna()".to_string(),
sovereign_fn: Some("DataFrame::fill_null()".to_string()),
status: MigrationStatus::MappedWithChanges,
rank: 9,
},
FunctionMapping {
python_fn: "df.dropna()".to_string(),
sovereign_fn: Some("DataFrame::drop_nulls()".to_string()),
status: MigrationStatus::MappedWithChanges,
rank: 10,
},
];
let mapped = mappings
.iter()
.filter(|m| {
m.status == MigrationStatus::Mapped
|| m.status == MigrationStatus::MappedWithChanges
|| m.status == MigrationStatus::Partial
})
.count();
ComponentCoverage {
component: "realizar".to_string(),
replaces: "pandas".to_string(),
total_functions: mappings.len(),
mapped_functions: mapped,
coverage_rate: (mapped as f64 / mappings.len() as f64) * 100.0,
mappings,
}
}
pub fn get_scipy_coverage() -> ComponentCoverage {
let mappings = vec![
FunctionMapping {
python_fn: "scipy.linalg.inv()".to_string(),
sovereign_fn: Some("trueno::linalg::inverse()".to_string()),
status: MigrationStatus::Mapped,
rank: 1,
},
FunctionMapping {
python_fn: "scipy.linalg.det()".to_string(),
sovereign_fn: Some("trueno::linalg::determinant()".to_string()),
status: MigrationStatus::Mapped,
rank: 2,
},
FunctionMapping {
python_fn: "scipy.linalg.eig()".to_string(),
sovereign_fn: Some("trueno::linalg::eigen()".to_string()),
status: MigrationStatus::MappedWithChanges,
rank: 3,
},
FunctionMapping {
python_fn: "scipy.linalg.svd()".to_string(),
sovereign_fn: Some("trueno::linalg::svd()".to_string()),
status: MigrationStatus::Mapped,
rank: 4,
},
FunctionMapping {
python_fn: "scipy.optimize.minimize()".to_string(),
sovereign_fn: None,
status: MigrationStatus::Unmapped,
rank: 5,
},
FunctionMapping {
python_fn: "scipy.integrate.quad()".to_string(),
sovereign_fn: None,
status: MigrationStatus::Unmapped,
rank: 6,
},
FunctionMapping {
python_fn: "scipy.stats.norm()".to_string(),
sovereign_fn: Some("trueno::stats::Normal::new()".to_string()),
status: MigrationStatus::MappedWithChanges,
rank: 7,
},
FunctionMapping {
python_fn: "scipy.sparse.csr_matrix()".to_string(),
sovereign_fn: Some("trueno::sparse::CsrMatrix::new()".to_string()),
status: MigrationStatus::MappedWithChanges,
rank: 8,
},
FunctionMapping {
python_fn: "scipy.fft.fft()".to_string(),
sovereign_fn: Some("trueno::fft::fft()".to_string()),
status: MigrationStatus::Mapped,
rank: 9,
},
FunctionMapping {
python_fn: "scipy.signal.convolve()".to_string(),
sovereign_fn: Some("trueno::signal::convolve()".to_string()),
status: MigrationStatus::Mapped,
rank: 10,
},
];
let mapped = mappings
.iter()
.filter(|m| {
m.status == MigrationStatus::Mapped || m.status == MigrationStatus::MappedWithChanges
})
.count();
ComponentCoverage {
component: "trueno".to_string(),
replaces: "scipy".to_string(),
total_functions: mappings.len(),
mapped_functions: mapped,
coverage_rate: (mapped as f64 / mappings.len() as f64) * 100.0,
mappings,
}
}
pub fn generate_dashboard() -> DashboardReport {
let sklearn = get_sklearn_coverage();
let numpy = get_numpy_coverage();
let pandas = get_pandas_coverage();
let scipy = get_scipy_coverage();
let total_mapped: usize = [&sklearn, &numpy, &pandas, &scipy]
.iter()
.map(|c| c.mapped_functions)
.sum();
let total_functions: usize = [&sklearn, &numpy, &pandas, &scipy]
.iter()
.map(|c| c.total_functions)
.sum();
let path_b_progress = if total_functions > 0 {
(total_mapped as f64 / total_functions as f64) * 100.0
} else {
0.0
};
let (compile_rate, corpus_files) = load_corpus_metrics();
DashboardReport {
timestamp: chrono::Utc::now().to_rfc3339(),
path_b_progress,
components: vec![sklearn, numpy, pandas, scipy],
compile_rate,
corpus_files,
}
}
fn load_corpus_metrics() -> (Option<f64>, Option<usize>) {
let metrics_path = std::path::Path::new("docs/oracle_roi_metrics.json");
if !metrics_path.exists() {
return (None, None);
}
if let Ok(content) = std::fs::read_to_string(metrics_path) {
if let Ok(json) = serde_json::from_str::<serde_json::Value>(&content) {
let compile_rate = json["baseline"]["transpile_rate"]
.as_f64()
.map(|r| r * 100.0);
let corpus_files = json["baseline"]["files_processed"]
.as_u64()
.map(|f| f as usize);
return (compile_rate, corpus_files);
}
}
(None, None)
}
pub fn display_text(report: &DashboardReport) {
println!();
println!(
"{}",
"═══════════════════════════════════════════════════════════════".bright_blue()
);
println!(
"{}",
" DEPYLER SOVEREIGN STACK COVERAGE DASHBOARD "
.bright_blue()
.bold()
);
println!(
"{}",
"═══════════════════════════════════════════════════════════════".bright_blue()
);
println!();
let progress_bar = create_progress_bar(report.path_b_progress, 40);
println!(
"{} {} [{:.1}%]",
"Path B Progress:".bold(),
progress_bar,
report.path_b_progress
);
println!();
if let Some(rate) = report.compile_rate {
let rate_color = if rate >= 80.0 {
format!("{:.1}%", rate).green()
} else if rate >= 50.0 {
format!("{:.1}%", rate).yellow()
} else {
format!("{:.1}%", rate).red()
};
print!("{} {}", "Compile Rate:".bold(), rate_color);
if let Some(files) = report.corpus_files {
print!(" ({} files)", files);
}
println!();
println!();
}
println!("┌─────────────┬─────────────┬─────────┬─────────────────────┐");
println!(
"│ {} │ {} │ {} │ {} │",
"Component".bold(),
"Replaces".bold(),
"Rate".bold(),
"Status".bold()
);
println!("├─────────────┼─────────────┼─────────┼─────────────────────┤");
for component in &report.components {
let rate_str = format!("{:.0}%", component.coverage_rate);
let rate_colored = if component.coverage_rate >= 80.0 {
rate_str.green()
} else if component.coverage_rate >= 50.0 {
rate_str.yellow()
} else {
rate_str.red()
};
let status = if component.coverage_rate >= 100.0 {
"Complete".green()
} else if component.coverage_rate >= 80.0 {
"Good".green()
} else if component.coverage_rate >= 50.0 {
"Partial".yellow()
} else {
"Needs Work".red()
};
println!(
"│ {:11} │ {:11} │ {:7} │ {:19} │",
component.component, component.replaces, rate_colored, status
);
}
println!("└─────────────┴─────────────┴─────────┴─────────────────────┘");
println!();
println!("─────────────────────────────────────────────────────────────────");
println!(
"{}",
" DETAILED FUNCTION MAPPINGS ".bold()
);
println!("─────────────────────────────────────────────────────────────────");
println!();
for component in &report.components {
println!(
"{} → {} ({}/{} mapped)",
component.replaces.yellow(),
component.component.green(),
component.mapped_functions,
component.total_functions
);
println!();
for mapping in &component.mappings {
let status_icon = match mapping.status {
MigrationStatus::Mapped => "✓".green(),
MigrationStatus::MappedWithChanges => "~".yellow(),
MigrationStatus::Partial => "◐".yellow(),
MigrationStatus::Unmapped => "✗".red(),
MigrationStatus::Incompatible => "⊘".red(),
};
let sovereign = mapping.sovereign_fn.as_deref().unwrap_or("(unmapped)");
println!(
" {} #{:<2} {} → {}",
status_icon, mapping.rank, mapping.python_fn, sovereign
);
}
println!();
}
println!("{}", "Legend:".bold());
println!(" {} Mapped (identical API)", "✓".green());
println!(" {} Mapped (API changes)", "~".yellow());
println!(" {} Partial mapping", "◐".yellow());
println!(" {} Unmapped", "✗".red());
println!(" {} Incompatible", "⊘".red());
println!();
println!("{}", format!("Generated: {}", report.timestamp).dimmed());
}
fn create_progress_bar(percent: f64, width: usize) -> String {
let filled = ((percent / 100.0) * width as f64).round() as usize;
let empty = width.saturating_sub(filled);
let filled_str: String = "█".repeat(filled);
let empty_str: String = "░".repeat(empty);
format!("{}{}", filled_str.green(), empty_str.dimmed())
}
pub fn dashboard_command(format: &str, component: Option<&str>) -> Result<()> {
let report = generate_dashboard();
match format {
"json" => {
let json = if let Some(comp) = component {
let filtered: Vec<_> = report
.components
.iter()
.filter(|c| c.component == comp || c.replaces == comp)
.cloned()
.collect();
serde_json::to_string_pretty(&filtered)?
} else {
serde_json::to_string_pretty(&report)?
};
println!("{}", json);
}
_ => {
display_text(&report);
}
}
Ok(())
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_sklearn_coverage_complete() {
let coverage = get_sklearn_coverage();
assert_eq!(coverage.component, "aprender");
assert_eq!(coverage.replaces, "sklearn");
assert_eq!(coverage.total_functions, 10);
assert!(coverage.coverage_rate >= 80.0);
}
#[test]
fn test_numpy_coverage_complete() {
let coverage = get_numpy_coverage();
assert_eq!(coverage.component, "trueno");
assert_eq!(coverage.replaces, "numpy");
assert_eq!(coverage.total_functions, 10);
assert!(coverage.coverage_rate >= 80.0);
}
#[test]
fn test_pandas_coverage_complete() {
let coverage = get_pandas_coverage();
assert_eq!(coverage.component, "realizar");
assert_eq!(coverage.replaces, "pandas");
assert_eq!(coverage.total_functions, 10);
}
#[test]
fn test_scipy_coverage_complete() {
let coverage = get_scipy_coverage();
assert_eq!(coverage.component, "trueno");
assert_eq!(coverage.replaces, "scipy");
assert_eq!(coverage.total_functions, 10);
}
#[test]
fn test_generate_dashboard() {
let report = generate_dashboard();
assert_eq!(report.components.len(), 4);
assert!(report.path_b_progress >= 0.0);
assert!(report.path_b_progress <= 100.0);
}
#[test]
fn test_progress_bar_empty() {
let bar = create_progress_bar(0.0, 10);
assert!(!bar.is_empty());
}
#[test]
fn test_progress_bar_full() {
let bar = create_progress_bar(100.0, 10);
assert!(!bar.is_empty());
}
#[test]
fn test_progress_bar_half() {
let bar = create_progress_bar(50.0, 10);
assert!(!bar.is_empty());
}
#[test]
fn test_migration_status_variants() {
assert_eq!(MigrationStatus::Mapped, MigrationStatus::Mapped);
assert_ne!(MigrationStatus::Mapped, MigrationStatus::Unmapped);
}
#[test]
fn test_function_mapping_structure() {
let mapping = FunctionMapping {
python_fn: "test()".to_string(),
sovereign_fn: Some("test()".to_string()),
status: MigrationStatus::Mapped,
rank: 1,
};
assert_eq!(mapping.rank, 1);
assert!(mapping.sovereign_fn.is_some());
}
#[test]
fn test_component_coverage_calculation() {
let coverage = get_sklearn_coverage();
let expected_rate =
(coverage.mapped_functions as f64 / coverage.total_functions as f64) * 100.0;
assert!((coverage.coverage_rate - expected_rate).abs() < 0.01);
}
#[test]
fn test_display_text_does_not_panic() {
let report = generate_dashboard();
display_text(&report);
}
#[test]
fn test_load_corpus_metrics_missing_file() {
let (compile_rate, corpus_files) = load_corpus_metrics();
let _ = (compile_rate, corpus_files);
}
#[test]
fn test_migration_status_debug() {
assert!(format!("{:?}", MigrationStatus::Mapped).contains("Mapped"));
assert!(format!("{:?}", MigrationStatus::MappedWithChanges).contains("MappedWithChanges"));
assert!(format!("{:?}", MigrationStatus::Partial).contains("Partial"));
assert!(format!("{:?}", MigrationStatus::Unmapped).contains("Unmapped"));
assert!(format!("{:?}", MigrationStatus::Incompatible).contains("Incompatible"));
}
#[test]
fn test_migration_status_clone() {
let s = MigrationStatus::Mapped;
let s2 = s.clone();
assert_eq!(s, s2);
}
#[test]
fn test_component_coverage_serialize() {
let coverage = get_sklearn_coverage();
let json = serde_json::to_string(&coverage).unwrap();
assert!(json.contains("aprender"));
assert!(json.contains("sklearn"));
}
#[test]
fn test_dashboard_report_serialize() {
let report = generate_dashboard();
let json = serde_json::to_string(&report).unwrap();
assert!(json.contains("path_b_progress"));
assert!(json.contains("components"));
}
#[test]
fn test_function_mapping_clone() {
let mapping = FunctionMapping {
python_fn: "func()".to_string(),
sovereign_fn: Some("sovereign_func()".to_string()),
status: MigrationStatus::Mapped,
rank: 1,
};
let cloned = mapping.clone();
assert_eq!(cloned.python_fn, "func()");
assert_eq!(cloned.rank, 1);
}
#[test]
fn test_function_mapping_unmapped() {
let mapping = FunctionMapping {
python_fn: "unknown()".to_string(),
sovereign_fn: None,
status: MigrationStatus::Unmapped,
rank: 99,
};
assert!(mapping.sovereign_fn.is_none());
assert_eq!(mapping.status, MigrationStatus::Unmapped);
}
#[test]
fn test_scipy_has_unmapped_functions() {
let coverage = get_scipy_coverage();
assert!(coverage
.mappings
.iter()
.any(|m| m.status == MigrationStatus::Unmapped));
}
#[test]
fn test_pandas_has_partial_functions() {
let coverage = get_pandas_coverage();
assert!(coverage
.mappings
.iter()
.any(|m| m.status == MigrationStatus::Partial));
}
#[test]
fn test_progress_bar_overflow() {
let bar = create_progress_bar(150.0, 10);
assert!(!bar.is_empty());
}
#[test]
fn test_dashboard_path_b_progress_range() {
let report = generate_dashboard();
assert!(report.path_b_progress > 0.0);
assert!(report.path_b_progress <= 100.0);
}
#[test]
fn test_all_components_have_10_functions() {
let report = generate_dashboard();
for component in &report.components {
assert_eq!(
component.total_functions, 10,
"{} should have 10 functions",
component.component
);
}
}
#[test]
fn test_dashboard_report_has_timestamp() {
let report = generate_dashboard();
assert!(!report.timestamp.is_empty());
}
#[test]
fn test_dashboard_report_clone() {
let report = generate_dashboard();
let cloned = report.clone();
assert_eq!(cloned.components.len(), report.components.len());
assert_eq!(cloned.path_b_progress, report.path_b_progress);
}
#[test]
fn test_s11_dashboard_command_json_format() {
let result = dashboard_command("json", None);
assert!(result.is_ok());
}
#[test]
fn test_s11_dashboard_command_json_filter_component() {
let result = dashboard_command("json", Some("aprender"));
assert!(result.is_ok());
}
#[test]
fn test_s11_dashboard_command_json_filter_replaces() {
let result = dashboard_command("json", Some("sklearn"));
assert!(result.is_ok());
}
#[test]
fn test_s11_dashboard_command_json_filter_nonexistent() {
let result = dashboard_command("json", Some("nonexistent"));
assert!(result.is_ok());
}
#[test]
fn test_s11_dashboard_command_text_format() {
let result = dashboard_command("text", None);
assert!(result.is_ok());
}
#[test]
fn test_s11_dashboard_command_unknown_format() {
let result = dashboard_command("yaml", None);
assert!(result.is_ok());
}
#[test]
fn test_s11_display_text_with_compile_rate() {
let mut report = generate_dashboard();
report.compile_rate = Some(85.0);
report.corpus_files = Some(100);
display_text(&report);
}
#[test]
fn test_s11_display_text_compile_rate_low() {
let mut report = generate_dashboard();
report.compile_rate = Some(30.0);
report.corpus_files = None;
display_text(&report);
}
#[test]
fn test_s11_display_text_compile_rate_medium() {
let mut report = generate_dashboard();
report.compile_rate = Some(65.0);
report.corpus_files = Some(50);
display_text(&report);
}
#[test]
fn test_s11_display_text_no_compile_rate() {
let mut report = generate_dashboard();
report.compile_rate = None;
report.corpus_files = None;
display_text(&report);
}
#[test]
fn test_s11_create_progress_bar_zero() {
let bar = create_progress_bar(0.0, 20);
assert!(!bar.is_empty());
}
#[test]
fn test_s11_create_progress_bar_100() {
let bar = create_progress_bar(100.0, 20);
assert!(!bar.is_empty());
}
#[test]
fn test_s11_create_progress_bar_width_1() {
let bar = create_progress_bar(50.0, 1);
assert!(!bar.is_empty());
}
}