🐛 Hotfix for two crtiissues (see below)

* Somehow, using multiple jobs resulted in import errors in the distributed function -> fixed by checking if modules are available in local scope and importin$
* After adding seeding to ASO, the number of bootstrap samples would be reduced to the number of jobs (oops)
* Minor: Fix link to readthedocs link in README

README.md

@@ -49,7 +49,7 @@ testing:
 
 All functions are fully tested and also compatible with common deep learning data structures, such as PyTorch / 
 Tensorflow tensors as well as NumPy and Jax arrays.  For examples about the usage, consult the documentation 
-[here](deep-significance.rtfd.io/en/latest/) or the scenarios in the section [Examples](#examples).
+[here](https://deep-significance.readthedocs.io/en/latest/) or the scenarios in the section [Examples](#examples).
 
 ## :inbox_tray: Installation
 

README_RAW.md

@@ -49,7 +49,7 @@ testing:
 
 All functions are fully tested and also compatible with common deep learning data structures, such as PyTorch / 
 Tensorflow tensors as well as NumPy and Jax arrays.  For examples about the usage, consult the documentation 
-[here](deep-significance.rtfd.io/en/latest/) or the scenarios in the section [Examples](#examples).
+[here](https://deep-significance.readthedocs.io/en/latest/) or the scenarios in the section [Examples](#examples).
 
 ## :inbox_tray: Installation
 

deepsig/__init__.py

@@ -4,5 +4,5 @@
 from deepsig.correction import bonferroni_correction
 from deepsig.permutation import permutation_test
 
-__version__ = "1.1.1"
+__version__ = "1.1.2"
 __author__ = "Dennis Ulmer"

deepsig/aso.py

@@ -4,7 +4,6 @@
 """
 
 # STD
-
 from typing import List, Callable, Union, Optional
 from warnings import warn
 
@@ -134,15 +133,22 @@ def _progress_iter(high: int, progress_bar: tqdm):
     # Set seeds for different jobs if applicable
     # "Sub-seeds" for jobs are just seed argument + job index
     seeds = (
-        [None] * num_jobs
+        [None] * num_bootstrap_iterations
         if seed is None
-        else [seed + offset for offset in range(1, num_jobs + 1)]
+        else [seed + offset for offset in range(1, num_bootstrap_iterations + 1)]
     )
 
     def _bootstrap_iter(seed: Optional[int] = None):
         """
         One bootstrap iteration. Wrapped in a function so it can be handed to joblib.Parallel.
         """
+        # When running multiple jobs, these modules have to be re-imported for some reason to avoid an error
+        # Use dir() to check whether module is available in local scope:
+        # https://stackoverflow.com/questions/30483246/how-to-check-if-a-module-has-been-imported
+        if "numpy" not in dir() or "deepsig" not in dir():
+            import numpy as np
+            from deepsig.aso import compute_violation_ratio
+
         if seed is not None:
             np.random.seed(seed)
 
@@ -344,6 +350,11 @@ def get_quantile_function(scores: np.array) -> Callable:
     Callable
         Return the quantile function belonging to an empirical score distribution.
     """
+    # When running multiple jobs via joblib, numpy has to be re-imported for some reason to avoid an error
+    # Use dir() to check whether module is available in local scope:
+    # https://stackoverflow.com/questions/30483246/how-to-check-if-a-module-has-been-imported
+    if "numpy" not in dir():
+        import numpy as np
 
     def _quantile_function(p: float) -> float:
         cdf = np.sort(scores)

docs/README_DOCS.md

@@ -49,7 +49,7 @@ testing:
 
 All functions are fully tested and also compatible with common deep learning data structures, such as PyTorch / 
 Tensorflow tensors as well as NumPy and Jax arrays.  For examples about the usage, consult the documentation 
-[here](deep-significance.rtfd.io/en/latest/) or the scenarios in the section [Examples](#examples).
+[here](https://deep-significance.readthedocs.io/en/latest/) or the scenarios in the section [Examples](#examples).
 
 ## |:inbox_tray:| Installation
 

docs/build/html/README_DOCS.html

@@ -195,7 +195,7 @@ <h2>|:interrobang:| Why?<a class="headerlink" href="#interrobang-why" title="Per
 </ul>
 <p>All functions are fully tested and also compatible with common deep learning data structures, such as PyTorch /
 Tensorflow tensors as well as NumPy and Jax arrays.  For examples about the usage, consult the documentation
-<a class="reference external" href="deep-significance.rtfd.io/en/latest/">here</a> or the scenarios in the section <a class="reference external" href="#examples">Examples</a>.</p>
+<a class="reference external" href="https://deep-significance.readthedocs.io/en/latest/">here</a> or the scenarios in the section <a class="reference external" href="#examples">Examples</a>.</p>
 </div>
 <div class="section" id="inbox-tray-installation">
 <h2>|:inbox_tray:| Installation<a class="headerlink" href="#inbox-tray-installation" title="Permalink to this headline">¶</a></h2>

docs/build/html/_sources/README_DOCS.md.txt

@@ -49,7 +49,7 @@ testing:
 
 All functions are fully tested and also compatible with common deep learning data structures, such as PyTorch / 
 Tensorflow tensors as well as NumPy and Jax arrays.  For examples about the usage, consult the documentation 
-[here](deep-significance.rtfd.io/en/latest/) or the scenarios in the section [Examples](#examples).
+[here](https://deep-significance.readthedocs.io/en/latest/) or the scenarios in the section [Examples](#examples).
 
 ## |:inbox_tray:| Installation
 

docs/build/html/index.html

@@ -188,7 +188,7 @@ <h2>⁉️ Why?<a class="headerlink" href="#id1" title="Permalink to this headli
 </ul>
 <p>All functions are fully tested and also compatible with common deep learning data structures, such as PyTorch /
 Tensorflow tensors as well as NumPy and Jax arrays.  For examples about the usage, consult the documentation
-<a class="reference external" href="deep-significance.rtfd.io/en/latest/">here</a> or the scenarios in the section <a class="reference external" href="#examples">Examples</a>.</p>
+<a class="reference external" href="https://deep-significance.readthedocs.io/en/latest/">here</a> or the scenarios in the section <a class="reference external" href="#examples">Examples</a>.</p>
 <div class="section" id="id2">
 <h3>📥 Installation<a class="headerlink" href="#id2" title="Permalink to this headline">¶</a></h3>
 <p>The package can simply be installed using <code class="docutils literal notranslate"><span class="pre">pip</span></code> by running</p>

setup.py

@@ -8,7 +8,7 @@
 
 setup(
     name="deepsig",
-    version="1.1.1",
+    version="1.1.2",
     author="Dennis Ulmer",
     description="Easy Significance Testing for Deep Neural Networks.",
     long_description=long_description,