Add option to make __repr__ print the summary

docs/global.rst

@@ -10,3 +10,5 @@ Global options
 	.. autoattribute:: yli.config.Config.pvalue_max_dps
 		
 	.. autoattribute:: yli.config.Config.pvalue_min_dps
+	
+	.. autoattribute:: yli.config.Config.repr_is_summary

yli/bayes_factors.py

@@ -14,6 +14,8 @@
 #   You should have received a copy of the GNU Affero General Public License
 #   along with this program.  If not, see <https://www.gnu.org/licenses/>.
 
+from .config import config
+
 class BayesFactor:
 	"""A Bayes factor"""
 	
@@ -30,6 +32,11 @@ class BayesFactor:
 		#: Description of the hypothesis in the denominator (*str*)
 		self.denom_desc = denom_desc
 	
+	def __repr__(self):
+		if config.repr_is_summary:
+			return self.summary()
+		return super().__repr__()
+	
 	def _repr_html_(self):
 		return 'BF<sub>{0}{1}</sub> = {2:.2f}, {5}<br>H<sub>{0}</sub>: {3}<br>H<sub>{1}</sub>: {4}'.format(self.num_symbol, self.denom_symbol, self.factor, self.num_desc, self.denom_desc, self.interpret_lw(html=True))
 	

yli/config.py

@@ -18,6 +18,8 @@ class Config:
 	"""Global configuration for the library"""
 	
 	def __init__(self):
+		# NOTE: If add any attributes here, must also change docs/global.rst
+		
 		#: Display at least this many decimal places for *p* values (*int*)
 		self.pvalue_min_dps = 2
 		#: Display at most this many decimal places for *p* values (*int*)
@@ -27,6 +29,9 @@ class Config:
 		
 		#: Alpha level for significance tests, confidence intervals (*float*)
 		self.alpha = 0.05
+		
+		#: If enabled, `__repr__` on test results, etc. directly calls the ``summary`` function (*bool*)
+		self.repr_is_summary = True
 
 """Global configuration singleton"""
 config = Config()

yli/regress.py

@@ -83,6 +83,11 @@ class LikelihoodRatioTestResult:
 		#: *p* value for the likelihood ratio test (*float*)
 		self.pvalue = pvalue
 	
+	def __repr__(self):
+		if config.repr_is_summary:
+			return self.summary()
+		return super().__repr__()
+	
 	def _repr_html_(self):
 		return 'LR({}) = {:.2f}; <i>p</i> {}'.format(self.dof, self.statistic, fmt_p(self.pvalue, html=True))
 	
@@ -261,6 +266,11 @@ class RegressionResult:
 		
 		return left_col, right_col
 	
+	def __repr__(self):
+		if config.repr_is_summary:
+			return self.summary()
+		return super().__repr__()
+	
 	def _repr_html_(self):
 		# Render header table
 		left_col, right_col = self._header_table(html=True)

yli/sig_tests.py

@@ -47,6 +47,11 @@ class TTestResult:
 		#: Description of the direction of the effect (*str*)
 		self.delta_direction = delta_direction
 	
+	def __repr__(self):
+		if config.repr_is_summary:
+			return self.summary()
+		return super().__repr__()
+	
 	def _repr_html_(self):
 		return '<i>t</i>({:.0f}) = {:.2f}; <i>p</i> {}<br>Δ<i>μ</i> ({:g}% CI) = {}, {}'.format(self.dof, self.statistic, fmt_p(self.pvalue, html=True), (1-config.alpha)*100, self.delta.summary(), self.delta_direction)
 	
@@ -118,6 +123,11 @@ class FTestResult:
 		#: *p* value for the *F* statistic (*float*)
 		self.pvalue = pvalue
 	
+	def __repr__(self):
+		if config.repr_is_summary:
+			return self.summary()
+		return super().__repr__()
+	
 	def _repr_html_(self):
 		return '<i>F</i>({}, {}) = {:.2f}; <i>p</i> {}'.format(self.dof1, self.dof2, self.statistic, fmt_p(self.pvalue, html=True))
 	
@@ -183,6 +193,11 @@ class MannWhitneyResult:
 		#: :class:`BrunnerMunzelResult` on the same data, or *None* if N/A
 		self.brunnermunzel = brunnermunzel
 	
+	def __repr__(self):
+		if config.repr_is_summary:
+			return self.summary()
+		return super().__repr__()
+	
 	def _repr_html_(self):
 		line1 = '<i>U</i> = {:.1f}; <i>p</i> {}<br><i>r</i> = {:.2f}, {}'.format(self.statistic, fmt_p(self.pvalue, html=True), self.rank_biserial, self.direction)
 		if self.brunnermunzel:
@@ -218,6 +233,11 @@ class BrunnerMunzelResult:
 		#: *p* value for the *W* statistic (*float*)
 		self.pvalue = pvalue
 	
+	def __repr__(self):
+		if config.repr_is_summary:
+			return self.summary()
+		return super().__repr__()
+	
 	def _repr_html_(self):
 		return '<i>W</i> = {:.1f}; <i>p</i> {}'.format(self.statistic, fmt_p(self.pvalue, html=True))
 	
@@ -311,6 +331,11 @@ class PearsonChiSquaredResult:
 		#: Risk ratio (*float*; *None* if not a 2×2 table)
 		self.riskratio = riskratio
 	
+	def __repr__(self):
+		if config.repr_is_summary:
+			return self.summary()
+		return super().__repr__()
+	
 	def _repr_html_(self):
 		if self.oddsratio is not None:
 			return '{0}<br><i>χ</i><sup>2</sup>({1}) = {2:.2f}; <i>p</i> {3}<br>OR ({4:g}% CI) = {5}<br>RR ({4:g}% CI) = {6}'.format(
@@ -404,6 +429,11 @@ class PearsonRResult:
 		#: *p* value for the *r* statistic (*float*)
 		self.pvalue = pvalue
 	
+	def __repr__(self):
+		if config.repr_is_summary:
+			return self.summary()
+		return super().__repr__()
+	
 	def _repr_html_(self):
 		return '<i>r</i> ({:g}% CI) = {}; <i>p</i> {}'.format((1-config.alpha)*100, self.statistic.summary(), fmt_p(self.pvalue, html=True))
 	

yli/utils.py

@@ -148,6 +148,11 @@ class ConfidenceInterval:
 		#: Upper confidence limit (*float*)
 		self.upper = upper
 	
+	def __repr__(self):
+		if config.repr_is_summary:
+			return self.summary()
+		return super().__repr__()
+	
 	def _repr_html_(self):
 		return self.summary()
 	
@@ -171,6 +176,11 @@ class Estimate:
 		#: Upper confidence limit (*float*)
 		self.ci_upper = ci_upper
 	
+	def __repr__(self):
+		if config.repr_is_summary:
+			return self.summary()
+		return super().__repr__()
+	
 	def _repr_html_(self):
 		return self.summary()