codecov-io: # [Codecov](https://codecov.io/gh/openml/openml-python/pull/828?src=pr&el=h1) Report
> :exclamation: No coverage uploaded for pull request base (`develop@23d4e6f`). [Click here to learn what that means](https://docs.codecov.io/docs/error-reference#section-missing-base-commit).
> The diff coverage is `83.33%`.

[![Impacted file tree graph](https://codecov.io/gh/openml/openml-python/pull/828/graphs/tree.svg?width=650&token=IlImE4jvlP&height=150&src=pr)](https://codecov.io/gh/openml/openml-python/pull/828?src=pr&el=tree)

```diff
@@            Coverage Diff             @@
##             develop     #828   +/-   ##
==========================================
  Coverage           ?   87.95%           
==========================================
  Files              ?       37           
  Lines              ?     4284           
  Branches           ?        0           
==========================================
  Hits               ?     3768           
  Misses             ?      516           
  Partials           ?        0
```


| [Impacted Files](https://codecov.io/gh/openml/openml-python/pull/828?src=pr&el=tree) | Coverage Δ | |
|---|---|---|
| [openml/flows/functions.py](https://codecov.io/gh/openml/openml-python/pull/828/diff?src=pr&el=tree#diff-b3Blbm1sL2Zsb3dzL2Z1bmN0aW9ucy5weQ==) | `87.42% <ø> (ø)` | |
| [openml/flows/flow.py](https://codecov.io/gh/openml/openml-python/pull/828/diff?src=pr&el=tree#diff-b3Blbm1sL2Zsb3dzL2Zsb3cucHk=) | `94.02% <100%> (ø)` | |
| [openml/base.py](https://codecov.io/gh/openml/openml-python/pull/828/diff?src=pr&el=tree#diff-b3Blbm1sL2Jhc2UucHk=) | `80.39% <80.39%> (ø)` | |

------

[Continue to review full report at Codecov](https://codecov.io/gh/openml/openml-python/pull/828?src=pr&el=continue).
> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)
> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`
> Powered by [Codecov](https://codecov.io/gh/openml/openml-python/pull/828?src=pr&el=footer). Last update [23d4e6f...393cce5](https://codecov.io/gh/openml/openml-python/pull/828?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).

PGijsbers: For the `__repr__` header I now parse the class names, which gives nearly identical output with what was before, but is generic and shared between all child classes. For tasks there is now also more information in the header, instead of "OpenML Task" it now says the full task type, e.g.:
```
OpenML Classification Task
==========================
Task Type...........: Supervised Classification
Task ID.............: 59
Task URL............: https://www.openml.org/t/59
Estimation Procedure: crossvalidation
Evaluation Measure..: predictive_accuracy
Target Feature......: class
# of Classes........: 3
Cost Matrix.........: Available
```
I propose to remove the 'Task Type' row from the body of the `__repr__`.
PGijsbers: I fixed the mypy errors by using `getattr` as mypy can't know the attributes exist in child classes. I think this is probably the cleanest way to do this.
PGijsbers: Looks like my local mypy reported different errors than CI. Great.
diff --git a/openml/base.py b/openml/base.py
new file mode 100644
index 00000000..64d8a770
--- /dev/null
+++ b/openml/base.py
@@ -0,0 +1,129 @@
+from abc import ABC, abstractmethod
+from collections import OrderedDict
+import re
+from typing import Optional, List, Tuple, Union
+import webbrowser
+
+import xmltodict
+
+import openml.config
+from .utils import _tag_openml_base
+
+
+class OpenMLBase(ABC):
+    """ Base object for functionality that is shared across entities. """
+
+    def __repr__(self):
+        body_fields = self._get_repr_body_fields()
+        return self._apply_repr_template(body_fields)
+
+    @property
+    @abstractmethod
+    def id(self) -> Optional[int]:
+        """ The id of the entity, it is unique for its entity type. """
+        pass
+
+    @property
+    def openml_url(self) -> Optional[str]:
+        """ The URL of the object on the server, if it was uploaded, else None. """
+        if self.id is None:
+            return None
+        return self.__class__.url_for_id(self.id)
+
+    @classmethod
+    def url_for_id(cls, id_: int) -> str:
+        """ Return the OpenML URL for the object of the class entity with the given id. """
+        # Sample url for a flow: openml.org/f/123
+        return "{}/{}/{}".format(openml.config.server_base_url, cls._entity_letter(), id_)
+
+    @classmethod
+    def _entity_letter(cls) -> str:
+        """ Return the letter which represents the entity type in urls, e.g. 'f' for flow."""
+        # We take advantage of the class naming convention (OpenMLX),
+        # which holds for all entities except studies and tasks, which overwrite this method.
+        return cls.__name__.lower()[len('OpenML'):][0]
+
+    @abstractmethod
+    def _get_repr_body_fields(self) -> List[Tuple[str, Union[str, int, List[str]]]]:
+        """ Collect all information to display in the __repr__ body.
+
+        Returns
+        ------
+        body_fields : List[Tuple[str, Union[str, int, List[str]]]]
+            A list of (name, value) pairs to display in the body of the __repr__.
+            E.g.: [('metric', 'accuracy'), ('dataset', 'iris')]
+            If value is a List of str, then each item of the list will appear in a separate row.
+        """
+        # Should be implemented in the base class.
+        pass
+
+    def _apply_repr_template(self, body_fields: List[Tuple[str, str]]) -> str:
+        """ Generates the header and formats the body for string representation of the object.
+
+         Parameters
+         ----------
+         body_fields: List[Tuple[str, str]]
+            A list of (name, value) pairs to display in the body of the __repr__.
+         """
+        # We add spaces between capitals, e.g. ClassificationTask -> Classification Task
+        name_with_spaces = re.sub(r"(\w)([A-Z])", r"\1 \2",
+                                  self.__class__.__name__[len('OpenML'):])
+        header_text = 'OpenML {}'.format(name_with_spaces)
+        header = '{}\n{}\n'.format(header_text, '=' * len(header_text))
+
+        longest_field_name_length = max(len(name) for name, value in body_fields)
+        field_line_format = "{{:.<{}}}: {{}}".format(longest_field_name_length)
+        body = '\n'.join(field_line_format.format(name, value) for name, value in body_fields)
+        return header + body
+
+    @abstractmethod
+    def _to_dict(self) -> 'OrderedDict[str, OrderedDict]':
+        """ Creates a dictionary representation of self.
+
+        Uses OrderedDict to ensure consistent ordering when converting to xml.
+        The return value (OrderedDict) will be used to create the upload xml file.
+        The xml file must have the tags in exactly the order of the object's xsd.
+        (see https://github.com/openml/OpenML/blob/master/openml_OS/views/pages/api_new/v1/xsd/).
+
+        Returns
+        -------
+        OrderedDict
+            Flow represented as OrderedDict.
+
+        """
+        # Should be implemented in the base class.
+        pass
+
+    def _to_xml(self) -> str:
+        """ Generate xml representation of self for upload to server. """
+        dict_representation = self._to_dict()
+        xml_representation = xmltodict.unparse(dict_representation, pretty=True)
+
+        # A task may not be uploaded with the xml encoding specification:
+        # <?xml version="1.0" encoding="utf-8"?>
+        encoding_specification, xml_body = xml_representation.split('\n', 1)
+        return xml_body
+
+    def open_in_browser(self):
+        """ Opens the OpenML web page corresponding to this object in your default browser. """
+        webbrowser.open(self.openml_url)
+
+    def push_tag(self, tag: str):
+        """Annotates this entity with a tag on the server.
+
+        Parameters
+        ----------
+        tag : str
+            Tag to attach to the flow.
+        """
+        _tag_openml_base(self, tag)
+
+    def remove_tag(self, tag: str):
+        """Removes a tag from this entity on the server.
+
+        Parameters
+        ----------
+        tag : str
+            Tag to attach to the flow.
+        """
+        _tag_openml_base(self, tag, untag=True)
diff --git a/openml/config.py b/openml/config.py
index 91d7345e..0a2332e1 100644
--- a/openml/config.py
+++ b/openml/config.py
@@ -28,7 +28,8 @@ config_file = os.path.expanduser(os.path.join('~', '.openml', 'config'))
 
 # Default values are actually added here in the _setup() function which is
 # called at the end of this module
-server = _defaults['server']
+server = str(_defaults['server'])  # so mypy knows it is a string
+server_base_url = server[:-len('/api/v1/xml')]
 apikey = _defaults['apikey']
 # The current cache directory (without the server name)
 cache_directory = _defaults['cachedir']
diff --git a/openml/datasets/dataset.py b/openml/datasets/dataset.py
index be50c037..61c7da00 100644
--- a/openml/datasets/dataset.py
+++ b/openml/datasets/dataset.py
@@ -15,15 +15,15 @@ import xmltodict
 from warnings import warn
 
 import openml._api_calls
+from openml.base import OpenMLBase
 from .data_feature import OpenMLDataFeature
 from ..exceptions import PyOpenMLError
-from ..utils import _tag_entity
 
 
 logger = logging.getLogger(__name__)
 
 
-class OpenMLDataset(object):
+class OpenMLDataset(OpenMLBase):
     """Dataset object.
 
     Allows fetching and uploading datasets to OpenML.
@@ -184,11 +184,12 @@ class OpenMLDataset(object):
         else:
             self.data_pickle_file = None
 
-    def __repr__(self):
-        header = "OpenML Dataset"
-        header = '{}\n{}\n'.format(header, '=' * len(header))
+    @property
+    def id(self) -> Optional[int]:
+        return self.dataset_id
 
-        base_url = "{}".format(openml.config.server[:-len('api/v1/xml')])
+    def _get_repr_body_fields(self) -> List[Tuple[str, Union[str, int, List[str]]]]:
+        """ Collect all information to display in the __repr__ body. """
         fields = {"Name": self.name,
                   "Version": self.version,
                   "Format": self.format,
@@ -201,19 +202,14 @@ class OpenMLDataset(object):
         if self.upload_date is not None:
             fields["Upload Date"] = self.upload_date.replace('T', ' ')
         if self.dataset_id is not None:
-            fields["OpenML URL"] = "{}d/{}".format(base_url, self.dataset_id)
+            fields["OpenML URL"] = self.openml_url
         if self.qualities is not None and self.qualities['NumberOfInstances'] is not None:
             fields["# of instances"] = int(self.qualities['NumberOfInstances'])
 
         # determines the order in which the information will be printed
         order = ["Name", "Version", "Format", "Upload Date", "Licence", "Download URL",
                  "OpenML URL", "Data File", "Pickle File", "# of features", "# of instances"]
-        fields = [(key, fields[key]) for key in order if key in fields]
-
-        longest_field_name_length = max(len(name) for name, value in fields)
-        field_line_format = "{{:.<{}}}: {{}}".format(longest_field_name_length)
-        body = '\n'.join(field_line_format.format(name, value) for name, value in fields)
-        return header + body
+        return [(key, fields[key]) for key in order if key in fields]
 
     def __eq__(self, other):
 
@@ -462,26 +458,6 @@ class OpenMLDataset(object):
 
         return data, categorical, attribute_names
 
-    def push_tag(self, tag):
-        """Annotates this data set with a tag on the server.
-
-        Parameters
-        ----------
-        tag : str
-            Tag to attach to the dataset.
-        """
-        _tag_entity('data', self.dataset_id, tag)
-
-    def remove_tag(self, tag):
-        """Removes a tag from this dataset on the server.
-
-        Parameters
-        ----------
-        tag : str
-            Tag to attach to the dataset.
-        """
-        _tag_entity('data', self.dataset_id, tag, untag=True)
-
     @staticmethod
     def _convert_array_format(data, array_format, attribute_names):
         """Convert a dataset to a given array format.
@@ -796,14 +772,8 @@ class OpenMLDataset(object):
         self.dataset_id = int(response['oml:upload_data_set']['oml:id'])
         return self.dataset_id
 
-    def _to_xml(self):
-        """ Serialize object to xml for upload
-
-        Returns
-        -------
-        xml_dataset : str
-            XML description of the data.
-        """
+    def _to_dict(self) -> 'OrderedDict[str, OrderedDict]':
+        """ Creates a dictionary representation of self. """
         props = ['id', 'name', 'version', 'description', 'format', 'creator',
                  'contributor', 'collection_date', 'upload_date', 'language',
                  'licence', 'url', 'default_target_attribute',
@@ -811,7 +781,7 @@ class OpenMLDataset(object):
                  'citation', 'tag', 'visibility', 'original_data_url',
                  'paper_url', 'update_comment', 'md5_checksum']
 
-        data_container = OrderedDict()
+        data_container = OrderedDict()  # type: 'OrderedDict[str, OrderedDict]'
         data_dict = OrderedDict([('@xmlns:oml', 'http://openml.org/openml')])
         data_container['oml:data_set_description'] = data_dict
 
@@ -820,14 +790,7 @@ class OpenMLDataset(object):
             if content is not None:
                 data_dict["oml:" + prop] = content
 
-        xml_string = xmltodict.unparse(
-            input_dict=data_container,
-            pretty=True,
-        )
-        # A flow may not be uploaded with the xml encoding specification:
-        # <?xml version="1.0" encoding="utf-8"?>
-        xml_string = xml_string.split('\n', 1)[-1]
-        return xml_string
+        return data_container
 
 
 def _check_qualities(qualities):
diff --git a/openml/evaluations/evaluation.py b/openml/evaluations/evaluation.py
index 2dc5999c..9d850770 100644
--- a/openml/evaluations/evaluation.py
+++ b/openml/evaluations/evaluation.py
@@ -61,18 +61,17 @@ class OpenMLEvaluation(object):
         header = "OpenML Evaluation"
         header = '{}\n{}\n'.format(header, '=' * len(header))
 
-        base_url = "{}".format(openml.config.server[:-len('api/v1/xml')])
         fields = {"Upload Date": self.upload_time,
                   "Run ID": self.run_id,
-                  "OpenML Run URL": "{}r/{}".format(base_url, self.run_id),
+                  "OpenML Run URL": openml.runs.OpenMLRun.url_for_id(self.run_id),
                   "Task ID": self.task_id,
-                  "OpenML Task URL": "{}t/{}".format(base_url, self.task_id),
+                  "OpenML Task URL": openml.tasks.OpenMLTask.url_for_id(self.task_id),
                   "Flow ID": self.flow_id,
-                  "OpenML Flow URL": "{}f/{}".format(base_url, self.flow_id),
+                  "OpenML Flow URL": openml.flows.OpenMLFlow.url_for_id(self.flow_id),
                   "Setup ID": self.setup_id,
                   "Data ID": self.data_id,
                   "Data Name": self.data_name,
-                  "OpenML Data URL": "{}d/{}".format(base_url, self.data_id),
+                  "OpenML Data URL": openml.datasets.OpenMLDataset.url_for_id(self.data_id),
                   "Metric Used": self.function,
                   "Result": self.value}
 
diff --git a/openml/flows/flow.py b/openml/flows/flow.py
index ec359891..7d66a843 100644
--- a/openml/flows/flow.py
+++ b/openml/flows/flow.py
@@ -1,17 +1,16 @@
 from collections import OrderedDict
 import os
-from typing import Dict, List, Union  # noqa: F401
+from typing import Dict, List, Union, Tuple, Optional  # noqa: F401
 import logging
 
 import xmltodict
 
+from openml.base import OpenMLBase
 from ..extensions import get_extension_by_flow
-from ..utils import extract_xml_tags, _tag_entity
+from ..utils import extract_xml_tags
 
-import openml.config
 
-
-class OpenMLFlow(object):
+class OpenMLFlow(OpenMLBase):
     """OpenML Flow. Stores machine learning models.
 
     Flows should not be generated manually, but by the function
@@ -137,6 +136,10 @@ class OpenMLFlow(object):
         else:
             self._extension = extension
 
+    @property
+    def id(self) -> Optional[int]:
+        return self.flow_id
+
     @property
     def extension(self):
         if self._extension is not None:
@@ -145,20 +148,16 @@ class OpenMLFlow(object):
             raise RuntimeError("No extension could be found for flow {}: {}"
                                .format(self.flow_id, self.name))
 
-    def __repr__(self):
-        header = "OpenML Flow"
-        header = '{}\n{}\n'.format(header, '=' * len(header))
-
-        base_url = "{}".format(openml.config.server[:-len('api/v1/xml')])
+    def _get_repr_body_fields(self) -> List[Tuple[str, Union[str, int, List[str]]]]:
+        """ Collect all information to display in the __repr__ body. """
         fields = {"Flow Name": self.name,
                   "Flow Description": self.description,
                   "Dependencies": self.dependencies}
         if self.flow_id is not None:
+            fields["Flow URL"] = self.openml_url
+            fields["Flow ID"] = str(self.flow_id)
             if self.version is not None:
-                fields["Flow ID"] = "{} (version {})".format(self.flow_id, self.version)
-            else:
-                fields["Flow ID"] = self.flow_id
-            fields["Flow URL"] = "{}f/{}".format(base_url, self.flow_id)
+                fields["Flow ID"] += " (version {})".format(self.version)
         if self.upload_date is not None:
             fields["Upload Date"] = self.upload_date.replace('T', ' ')
         if self.binary_url is not None:
@@ -167,48 +166,10 @@ class OpenMLFlow(object):
         # determines the order in which the information will be printed
         order = ["Flow ID", "Flow URL", "Flow Name", "Flow Description", "Binary URL",
                  "Upload Date", "Dependencies"]
-        fields = [(key, fields[key]) for key in order if key in fields]
-
-        longest_field_name_length = max(len(name) for name, value in fields)
-        field_line_format = "{{:.<{}}}: {{}}".format(longest_field_name_length)
-        body = '\n'.join(field_line_format.format(name, value) for name, value in fields)
-        return header + body
-
-    def _to_xml(self) -> str:
-        """Generate xml representation of self for upload to server.
-
-        Returns
-        -------
-        str
-            Flow represented as XML string.
-        """
-        flow_dict = self._to_dict()
-        flow_xml = xmltodict.unparse(flow_dict, pretty=True)
-
-        # A flow may not be uploaded with the xml encoding specification:
-        # <?xml version="1.0" encoding="utf-8"?>
-        flow_xml = flow_xml.split('\n', 1)[-1]
-        return flow_xml
-
-    def _to_dict(self) -> dict:
-        """ Helper function used by _to_xml and itself.
-
-        Creates a dictionary representation of self which can be serialized
-        to xml by the function _to_xml. Since a flow can contain subflows
-        (components) this helper function calls itself recursively to also
-        serialize these flows to dictionaries.
-
-        Uses OrderedDict to ensure consistent ordering when converting to xml.
-        The return value (OrderedDict) will be used to create the upload xml
-        file. The xml file must have the tags in exactly the order given in the
-        xsd schema of a flow (see class docstring).
+        return [(key, fields[key]) for key in order if key in fields]
 
-        Returns
-        -------
-        OrderedDict
-            Flow represented as OrderedDict.
-
-        """
+    def _to_dict(self) -> 'OrderedDict[str, OrderedDict]':
+        """ Creates a dictionary representation of self. """
         flow_container = OrderedDict()  # type: 'OrderedDict[str, OrderedDict]'
         flow_dict = OrderedDict([('@xmlns:oml', 'http://openml.org/openml')])  # type: 'OrderedDict[str, Union[List, str]]'  # noqa E501
         flow_container['oml:flow'] = flow_dict
@@ -506,26 +467,6 @@ class OpenMLFlow(object):
             structure.pop(0)
             return self.components[sub_identifier].get_subflow(structure)
 
-    def push_tag(self, tag):
-        """Annotates this flow with a tag on the server.
-
-        Parameters
-        ----------
-        tag : str
-            Tag to attach to the flow.
-        """
-        _tag_entity('flow', self.flow_id, tag)
-
-    def remove_tag(self, tag):
-        """Removes a tag from this flow on the server.
-
-        Parameters
-        ----------
-        tag : str
-            Tag to attach to the flow.
-        """
-        _tag_entity('flow', self.flow_id, tag, untag=True)
-
 
 def _copy_server_fields(source_flow, target_flow):
     fields_added_by_the_server = ['flow_id', 'uploader', 'version',
diff --git a/openml/flows/functions.py b/openml/flows/functions.py
index 2aa3df85..4389eb3c 100644
--- a/openml/flows/functions.py
+++ b/openml/flows/functions.py
@@ -425,7 +425,7 @@ def assert_flows_equal(flow1: OpenMLFlow, flow2: OpenMLFlow,
                                # but the uploader has no control over them!
                                'tags']
     ignored_by_python_api = ['binary_url', 'binary_format', 'binary_md5',
-                             'model']
+                             'model', '_entity_id']
 
     for key in set(flow1.__dict__.keys()).union(flow2.__dict__.keys()):
         if key in generated_by_the_server + ignored_by_python_api:
diff --git a/openml/runs/run.py b/openml/runs/run.py
index 6a4818f3..08f99d34 100644
--- a/openml/runs/run.py
+++ b/openml/runs/run.py
@@ -1,7 +1,7 @@
 from collections import OrderedDict
 import pickle
 import time
-from typing import Any, IO, TextIO  # noqa F401
+from typing import Any, IO, TextIO, List, Union, Tuple, Optional  # noqa F401
 import os
 
 import arff
@@ -10,6 +10,7 @@ import xmltodict
 
 import openml
 import openml._api_calls
+from openml.base import OpenMLBase
 from ..exceptions import PyOpenMLError
 from ..flows import get_flow
 from ..tasks import (get_task,
@@ -19,10 +20,9 @@ from ..tasks import (get_task,
                      OpenMLClusteringTask,
                      OpenMLRegressionTask
                      )
-from ..utils import _tag_entity
 
 
-class OpenMLRun(object):
+class OpenMLRun(OpenMLBase):
     """OpenML Run: result of running a model on an openml dataset.
 
        Parameters
@@ -67,28 +67,30 @@ class OpenMLRun(object):
         self.tags = tags
         self.predictions_url = predictions_url
 
-    def __repr__(self):
-        header = "OpenML Run"
-        header = '{}\n{}\n'.format(header, '=' * len(header))
+    @property
+    def id(self) -> Optional[int]:
+        return self.run_id
 
-        base_url = "{}".format(openml.config.server[:-len('api/v1/xml')])
+    def _get_repr_body_fields(self) -> List[Tuple[str, Union[str, int, List[str]]]]:
+        """ Collect all information to display in the __repr__ body. """
         fields = {"Uploader Name": self.uploader_name,
                   "Metric": self.task_evaluation_measure,
                   "Run ID": self.run_id,
                   "Task ID": self.task_id,
                   "Task Type": self.task_type,
-                  "Task URL": "{}t/{}".format(base_url, self.task_id),
+                  "Task URL": openml.tasks.OpenMLTask.url_for_id(self.task_id),
                   "Flow ID": self.flow_id,
                   "Flow Name": self.flow_name,
-                  "Flow URL": "{}f/{}".format(base_url, self.flow_id),
+                  "Flow URL": openml.flows.OpenMLFlow.url_for_id(self.flow_id),
                   "Setup ID": self.setup_id,
                   "Setup String": self.setup_string,
                   "Dataset ID": self.dataset_id,
-                  "Dataset URL": "{}d/{}".format(base_url, self.dataset_id)}
+                  "Dataset URL": openml.datasets.OpenMLDataset.url_for_id(self.dataset_id)}
         if self.uploader is not None:
-            fields["Uploader Profile"] = "{}u/{}".format(base_url, self.uploader)
+            fields["Uploader Profile"] = "{}/u/{}".format(openml.config.server_base_url,
+                                                          self.uploader)
         if self.run_id is not None:
-            fields["Run URL"] = "{}r/{}".format(base_url, self.run_id)
+            fields["Run URL"] = self.openml_url
         if self.evaluations is not None and self.task_evaluation_measure in self.evaluations:
             fields["Result"] = self.evaluations[self.task_evaluation_measure]
 
@@ -96,15 +98,7 @@ class OpenMLRun(object):
         order = ["Uploader Name", "Uploader Profile", "Metric", "Result", "Run ID", "Run URL",
                  "Task ID", "Task Type", "Task URL", "Flow ID", "Flow Name", "Flow URL",
                  "Setup ID", "Setup String", "Dataset ID", "Dataset URL"]
-        fields = [(key, fields[key]) for key in order if key in fields]
-
-        longest_field_name_length = max(len(name) for name, value in fields)
-        field_line_format = "{{:.<{}}}: {{}}".format(longest_field_name_length)
-        body = '\n'.join(field_line_format.format(name, value) for name, value in fields)
-        return header + body
-
-    def _repr_pretty_(self, pp, cycle):
-        pp.text(str(self))
+        return [(key, fields[key]) for key in order if key in fields]
 
     @classmethod
     def from_filesystem(cls, directory: str, expect_model: bool = True) -> 'OpenMLRun':
@@ -201,7 +195,7 @@ class OpenMLRun(object):
                 'Output directory {} should be empty'.format(os.path.abspath(directory))
             )
 
-        run_xml = self._create_description_xml()
+        run_xml = self._to_xml()
         predictions_arff = arff.dumps(self._generate_arff_dict())
 
         # It seems like typing does not allow to define the same variable multiple times
@@ -469,7 +463,7 @@ class OpenMLRun(object):
                 self.model,
             )
 
-        description_xml = self._create_description_xml()
+        description_xml = self._to_xml()
         file_elements = {'description': ("description.xml", description_xml)}
 
         if self.error_message is None:
@@ -487,115 +481,41 @@ class OpenMLRun(object):
         self.run_id = int(result['oml:upload_run']['oml:run_id'])
         return self
 
-    def _create_description_xml(self):
-        """Create xml representation of run for upload.
-
-        Returns
-        -------
-        xml_string : string
-            XML description of run.
-        """
-
-        # as a tag, it must be of the form ([a-zA-Z0-9_\-\.])+
-        # so we format time from 'mm/dd/yy hh:mm:ss' to 'mm-dd-yy_hh.mm.ss'
-        # well_formatted_time = time.strftime("%c").replace(
-        #     ' ', '_').replace('/', '-').replace(':', '.')
-        # tags = run_environment + [well_formatted_time] + ['run_task'] + \
-        #     [self.model.__module__ + "." + self.model.__class__.__name__]
-        description = _to_dict(taskid=self.task_id, flow_id=self.flow_id,
-                               setup_string=self.setup_string,
-                               parameter_settings=self.parameter_settings,
-                               error_message=self.error_message,
-                               fold_evaluations=self.fold_evaluations,
-                               sample_evaluations=self.sample_evaluations,
-                               tags=self.tags)
-        description_xml = xmltodict.unparse(description, pretty=True)
-        return description_xml
-
-    def push_tag(self, tag: str) -> None:
-        """Annotates this run with a tag on the server.
-
-        Parameters
-        ----------
-        tag : str
-            Tag to attach to the run.
-        """
-        _tag_entity('run', self.run_id, tag)
-
-    def remove_tag(self, tag: str) -> None:
-        """Removes a tag from this run on the server.
-
-        Parameters
-        ----------
-        tag : str
-            Tag to attach to the run.
-        """
-        _tag_entity('run', self.run_id, tag, untag=True)
-
-
-###############################################################################
-# Functions which cannot be in runs/functions due to circular imports
-
-def _to_dict(taskid, flow_id, setup_string, error_message, parameter_settings,
-             tags=None, fold_evaluations=None, sample_evaluations=None):
-    """ Creates a dictionary corresponding to the desired xml desired by openML
-
-    Parameters
-    ----------
-    taskid : int
-        the identifier of the task
-    setup_string : string
-        a CLI string which can invoke the learning with the correct parameter
-        settings
-    parameter_settings : array of dicts
-        each dict containing keys name, value and component, one per parameter
-        setting
-    tags : array of strings
-        information that give a description of the run, must conform to
-        regex ``([a-zA-Z0-9_\-\.])+``
-    fold_evaluations : dict mapping from evaluation measure to a dict mapping
-        repeat_nr to a dict mapping from fold nr to a value (double)
-    sample_evaluations : dict mapping from evaluation measure to a dict
-        mapping repeat_nr to a dict mapping from fold nr to a dict mapping to
-        a sample nr to a value (double)
-    sample_evaluations :
-    Returns
-    -------
-    result : an array with version information of the above packages
-    """  # noqa: W605
-    description = OrderedDict()
-    description['oml:run'] = OrderedDict()
-    description['oml:run']['@xmlns:oml'] = 'http://openml.org/openml'
-    description['oml:run']['oml:task_id'] = taskid
-    description['oml:run']['oml:flow_id'] = flow_id
-    if error_message is not None:
-        description['oml:run']['oml:error_message'] = error_message
-    description['oml:run']['oml:parameter_setting'] = parameter_settings
-    if tags is not None:
-        description['oml:run']['oml:tag'] = tags  # Tags describing the run
-    if (fold_evaluations is not None and len(fold_evaluations) > 0) or \
-            (sample_evaluations is not None and len(sample_evaluations) > 0):
-        description['oml:run']['oml:output_data'] = OrderedDict()
-        description['oml:run']['oml:output_data']['oml:evaluation'] = list()
-    if fold_evaluations is not None:
-        for measure in fold_evaluations:
-            for repeat in fold_evaluations[measure]:
-                for fold, value in fold_evaluations[measure][repeat].items():
-                    current = OrderedDict([
-                        ('@repeat', str(repeat)), ('@fold', str(fold)),
-                        ('oml:name', measure), ('oml:value', str(value))])
-                    description['oml:run']['oml:output_data'][
-                        'oml:evaluation'].append(current)
-    if sample_evaluations is not None:
-        for measure in sample_evaluations:
-            for repeat in sample_evaluations[measure]:
-                for fold in sample_evaluations[measure][repeat]:
-                    for sample, value in sample_evaluations[measure][repeat][
-                            fold].items():
+    def _to_dict(self) -> 'OrderedDict[str, OrderedDict]':
+        """ Creates a dictionary representation of self. """
+        description = OrderedDict()  # type: 'OrderedDict'
+        description['oml:run'] = OrderedDict()
+        description['oml:run']['@xmlns:oml'] = 'http://openml.org/openml'
+        description['oml:run']['oml:task_id'] = self.task_id
+        description['oml:run']['oml:flow_id'] = self.flow_id
+        if self.error_message is not None:
+            description['oml:run']['oml:error_message'] = self.error_message
+        description['oml:run']['oml:parameter_setting'] = self.parameter_settings
+        if self.tags is not None:
+            description['oml:run']['oml:tag'] = self.tags  # Tags describing the run
+        if (self.fold_evaluations is not None and len(self.fold_evaluations) > 0) or \
+                (self.sample_evaluations is not None and len(self.sample_evaluations) > 0):
+            description['oml:run']['oml:output_data'] = OrderedDict()
+            description['oml:run']['oml:output_data']['oml:evaluation'] = list()
+        if self.fold_evaluations is not None:
+            for measure in self.fold_evaluations:
+                for repeat in self.fold_evaluations[measure]:
+                    for fold, value in self.fold_evaluations[measure][repeat].items():
                         current = OrderedDict([
                             ('@repeat', str(repeat)), ('@fold', str(fold)),
-                            ('@sample', str(sample)), ('oml:name', measure),
-                            ('oml:value', str(value))])
+                            ('oml:name', measure), ('oml:value', str(value))])
                         description['oml:run']['oml:output_data'][
                             'oml:evaluation'].append(current)
-    return description
+        if self.sample_evaluations is not None:
+            for measure in self.sample_evaluations:
+                for repeat in self.sample_evaluations[measure]:
+                    for fold in self.sample_evaluations[measure][repeat]:
+                        for sample, value in \
+                                self.sample_evaluations[measure][repeat][fold].items():
+                            current = OrderedDict([
+                                ('@repeat', str(repeat)), ('@fold', str(fold)),
+                                ('@sample', str(sample)), ('oml:name', measure),
+                                ('oml:value', str(value))])
+                            description['oml:run']['oml:output_data'][
+                                'oml:evaluation'].append(current)
+        return description
diff --git a/openml/runs/trace.py b/openml/runs/trace.py
index 1786120e..c6ca1f05 100644
--- a/openml/runs/trace.py
+++ b/openml/runs/trace.py
@@ -1,7 +1,7 @@
 from collections import OrderedDict
 import json
 import os
-from typing import List, Tuple  # noqa F401
+from typing import List, Tuple, Optional  # noqa F401
 
 import arff
 import xmltodict
@@ -381,7 +381,7 @@ class OpenMLRunTrace(object):
         return cls(None, merged_trace)
 
     def __repr__(self):
-        return '[Run id: %d, %d trace iterations]'.format(
+        return '[Run id: {}, {} trace iterations]'.format(
             -1 if self.run_id is None else self.run_id,
             len(self.trace_iterations),
         )
diff --git a/openml/setups/setup.py b/openml/setups/setup.py
index aee1aa0b..31fdc15a 100644
--- a/openml/setups/setup.py
+++ b/openml/setups/setup.py
@@ -31,10 +31,9 @@ class OpenMLSetup(object):
         header = "OpenML Setup"
         header = '{}\n{}\n'.format(header, '=' * len(header))
 
-        base_url = "{}".format(openml.config.server[:-len('api/v1/xml')])
         fields = {"Setup ID": self.setup_id,
                   "Flow ID": self.flow_id,
-                  "Flow URL": "{}f/{}".format(base_url, self.flow_id),
+                  "Flow URL": openml.flows.OpenMLFlow.url_for_id(self.flow_id),
                   "# of Parameters": len(self.parameters)}
 
         # determines the order in which the information will be printed
@@ -86,12 +85,11 @@ class OpenMLParameter(object):
         header = "OpenML Parameter"
         header = '{}\n{}\n'.format(header, '=' * len(header))
 
-        base_url = "{}".format(openml.config.server[:-len('api/v1/xml')])
         fields = {"ID": self.id,
                   "Flow ID": self.flow_id,
                   # "Flow Name": self.flow_name,
                   "Flow Name": self.full_name,
-                  "Flow URL": "{}f/{}".format(base_url, self.flow_id),
+                  "Flow URL": openml.flows.OpenMLFlow.url_for_id(self.flow_id),
                   "Parameter Name": self.parameter_name}
         # indented prints for parameter attributes
         # indention = 2 spaces + 1 | + 2 underscores
diff --git a/openml/study/functions.py b/openml/study/functions.py
index ccd52301..25ebea5f 100644
--- a/openml/study/functions.py
+++ b/openml/study/functions.py
@@ -120,7 +120,7 @@ def _get_study(id_: Union[int, str], entity_type) -> BaseStudy:
         if 'oml:setups' in result_dict:
             setups = [int(x) for x in result_dict['oml:setups']['oml:setup_id']]
         else:
-            raise ValueError('No setups attached to study!'.format(id_))
+            raise ValueError('No setups attached to study {}!'.format(id_))
         if 'oml:runs' in result_dict:
             runs = [
                 int(x) for x in result_dict['oml:runs']['oml:run_id']
@@ -130,7 +130,7 @@ def _get_study(id_: Union[int, str], entity_type) -> BaseStudy:
                 # Legacy studies did not require runs
                 runs = None
             else:
-                raise ValueError('No runs attached to study!'.format(id_))
+                raise ValueError('No runs attached to study {}!'.format(id_))
 
         study = OpenMLStudy(
             study_id=study_id,
diff --git a/openml/study/study.py b/openml/study/study.py
index 54e71691..9d1df933 100644
--- a/openml/study/study.py
+++ b/openml/study/study.py
@@ -1,12 +1,13 @@
-import collections
-from typing import Dict, List, Optional
+from collections import OrderedDict
+from typing import Dict, List, Optional, Tuple, Union, Any
 
 import xmltodict
 
 import openml
+from openml.base import OpenMLBase
 
 
-class BaseStudy(object):
+class BaseStudy(OpenMLBase):
     """
     An OpenMLStudy represents the OpenML concept of a study. It contains
     the following information: name, id, description, creation date,
@@ -87,19 +88,25 @@ class BaseStudy(object):
         self.flows = flows
         self.setups = setups
         self.runs = runs
-        pass
 
-    def __repr__(self):
-        # header is provided by the sub classes
-        base_url = "{}".format(openml.config.server[:-len('api/v1/xml')])
+    @classmethod
+    def _entity_letter(cls) -> str:
+        return 's'
+
+    @property
+    def id(self) -> Optional[int]:
+        return self.study_id
+
+    def _get_repr_body_fields(self) -> List[Tuple[str, Union[str, int, List[str]]]]:
+        """ Collect all information to display in the __repr__ body. """
         fields = {"Name": self.name,
                   "Status": self.status,
-                  "Main Entity Type": self.main_entity_type}
+                  "Main Entity Type": self.main_entity_type}  # type: Dict[str, Any]
         if self.study_id is not None:
             fields["ID"] = self.study_id
-            fields["Study URL"] = "{}s/{}".format(base_url, self.study_id)
+            fields["Study URL"] = self.openml_url
         if self.creator is not None:
-            fields["Creator"] = "{}u/{}".format(base_url, self.creator)
+            fields["Creator"] = "{}/u/{}".format(openml.config.server_base_url, self.creator)
         if self.creation_date is not None:
             fields["Upload Time"] = self.creation_date.replace('T', ' ')
         if self.data is not None:
@@ -115,12 +122,7 @@ class BaseStudy(object):
         order = ["ID", "Name", "Status", "Main Entity Type", "Study URL",
                  "# of Data", "# of Tasks", "# of Flows", "# of Runs",
                  "Creator", "Upload Time"]
-        fields = [(key, fields[key]) for key in order if key in fields]
-
-        longest_field_name_length = max(len(name) for name, value in fields)
-        field_line_format = "{{:.<{}}}: {{}}".format(longest_field_name_length)
-        body = '\n'.join(field_line_format.format(name, value) for name, value in fields)
-        return body
+        return [(key, fields[key]) for key in order if key in fields]
 
     def publish(self) -> int:
         """
@@ -143,14 +145,8 @@ class BaseStudy(object):
         self.study_id = int(study_res['oml:study_upload']['oml:id'])
         return self.study_id
 
-    def _to_xml(self) -> str:
-        """Serialize object to xml for upload
-
-        Returns
-        -------
-        xml_study : str
-            XML description of the data.
-        """
+    def _to_dict(self) -> 'OrderedDict[str, OrderedDict]':
+        """ Creates a dictionary representation of self. """
         # some can not be uploaded, e.g., id, creator, creation_date
         simple_props = ['alias', 'main_entity_type', 'name', 'description']
         # maps from attribute name (which is used as outer tag name) to immer
@@ -161,9 +157,9 @@ class BaseStudy(object):
             'runs': 'run_id',
         }
 
-        study_container = collections.OrderedDict()  # type: 'collections.OrderedDict'
+        study_container = OrderedDict()  # type: 'OrderedDict'
         namespace_list = [('@xmlns:oml', 'http://openml.org/openml')]
-        study_dict = collections.OrderedDict(namespace_list)  # type: 'collections.OrderedDict'
+        study_dict = OrderedDict(namespace_list)  # type: 'OrderedDict'
         study_container['oml:study'] = study_dict
 
         for prop_name in simple_props:
@@ -177,15 +173,13 @@ class BaseStudy(object):
                     'oml:' + inner_name: content
                 }
                 study_dict["oml:" + prop_name] = sub_dict
+        return study_container
 
-        xml_string = xmltodict.unparse(
-            input_dict=study_container,
-            pretty=True,
-        )
-        # A flow may not be uploaded with the xml encoding specification:
-        # <?xml version="1.0" encoding="utf-8"?>
-        xml_string = xml_string.split('\n', 1)[-1]
-        return xml_string
+    def push_tag(self, tag: str):
+        raise NotImplementedError("Tags for studies is not (yet) supported.")
+
+    def remove_tag(self, tag: str):
+        raise NotImplementedError("Tags for studies is not (yet) supported.")
 
 
 class OpenMLStudy(BaseStudy):
@@ -268,12 +262,6 @@ class OpenMLStudy(BaseStudy):
             setups=setups,
         )
 
-    def __repr__(self):
-        header = "OpenML Study"
-        header = '{}\n{}\n'.format(header, '=' * len(header))
-        body = super(OpenMLStudy, self).__repr__()
-        return header + body
-
 
 class OpenMLBenchmarkSuite(BaseStudy):
     """
@@ -345,9 +333,3 @@ class OpenMLBenchmarkSuite(BaseStudy):
             runs=None,
             setups=None,
         )
-
-    def __repr__(self):
-        header = "OpenML Benchmark Suite"
-        header = '{}\n{}\n'.format(header, '=' * len(header))
-        body = super(OpenMLBenchmarkSuite, self).__repr__()
-        return header + body
diff --git a/openml/tasks/task.py b/openml/tasks/task.py
index 83af7937..2358160e 100644
--- a/openml/tasks/task.py
+++ b/openml/tasks/task.py
@@ -2,7 +2,7 @@ from abc import ABC
 from collections import OrderedDict
 import io
 import os
-from typing import Union, Tuple, Dict, List, Optional
+from typing import Union, Tuple, Dict, List, Optional, Any
 from warnings import warn
 
 import numpy as np
@@ -11,12 +11,13 @@ import scipy.sparse
 import xmltodict
 
 import openml._api_calls
+from openml.base import OpenMLBase
 from .. import datasets
 from .split import OpenMLSplit
-from ..utils import _create_cache_directory_for_id, _tag_entity
+from ..utils import _create_cache_directory_for_id
 
 
-class OpenMLTask(ABC):
+class OpenMLTask(OpenMLBase):
     """OpenML Task object.
 
        Parameters
@@ -55,35 +56,36 @@ class OpenMLTask(ABC):
         self.estimation_procedure_id = estimation_procedure_id
         self.split = None  # type: Optional[OpenMLSplit]
 
-    def __repr__(self):
-        header = "OpenML Task"
-        header = '{}\n{}\n'.format(header, '=' * len(header))
+    @classmethod
+    def _entity_letter(cls) -> str:
+        return 't'
 
-        base_url = "{}".format(openml.config.server[:-len('api/v1/xml')])
-        fields = {"Task Type": self.task_type}
+    @property
+    def id(self) -> Optional[int]:
+        return self.task_id
+
+    def _get_repr_body_fields(self) -> List[Tuple[str, Union[str, int, List[str]]]]:
+        """ Collect all information to display in the __repr__ body. """
+        fields = {"Task Type Description": '{}/tt/{}'.format(
+            openml.config.server_base_url, self.task_type_id)}  # type: Dict[str, Any]
         if self.task_id is not None:
             fields["Task ID"] = self.task_id
-            fields["Task URL"] = "{}t/{}".format(base_url, self.task_id)
+            fields["Task URL"] = self.openml_url
         if self.evaluation_measure is not None:
             fields["Evaluation Measure"] = self.evaluation_measure
         if self.estimation_procedure is not None:
             fields["Estimation Procedure"] = self.estimation_procedure['type']
-        if self.target_name is not None:
-            fields["Target Feature"] = self.target_name
+        if getattr(self, 'target_name', None) is not None:
+            fields["Target Feature"] = getattr(self, 'target_name')
             if hasattr(self, 'class_labels'):
-                fields["# of Classes"] = len(self.class_labels)
+                fields["# of Classes"] = len(getattr(self, 'class_labels'))
             if hasattr(self, 'cost_matrix'):
                 fields["Cost Matrix"] = "Available"
 
         # determines the order in which the information will be printed
-        order = ["Task Type", "Task ID", "Task URL", "Estimation Procedure", "Evaluation Measure",
-                 "Target Feature", "# of Classes", "Cost Matrix"]
-        fields = [(key, fields[key]) for key in order if key in fields]
-
-        longest_field_name_length = max(len(name) for name, value in fields)
-        field_line_format = "{{:.<{}}}: {{}}".format(longest_field_name_length)
-        body = '\n'.join(field_line_format.format(name, value) for name, value in fields)
-        return header + body
+        order = ["Task Type Description", "Task ID", "Task URL", "Estimation Procedure",
+                 "Evaluation Measure", "Target Feature", "# of Classes", "Cost Matrix"]
+        return [(key, fields[key]) for key in order if key in fields]
 
     def get_dataset(self) -> datasets.OpenMLDataset:
         """Download dataset associated with task"""
@@ -144,28 +146,8 @@ class OpenMLTask(ABC):
 
         return self.split.repeats, self.split.folds, self.split.samples
 
-    def push_tag(self, tag: str):
-        """Annotates this task with a tag on the server.
-
-        Parameters
-        ----------
-        tag : str
-            Tag to attach to the task.
-        """
-        _tag_entity('task', self.task_id, tag)
-
-    def remove_tag(self, tag: str):
-        """Removes a tag from this task on the server.
-
-        Parameters
-        ----------
-        tag : str
-            Tag to attach to the task.
-        """
-        _tag_entity('task', self.task_id, tag, untag=True)
-
     def _to_dict(self) -> 'OrderedDict[str, OrderedDict]':
-
+        """ Creates a dictionary representation of self. """
         task_container = OrderedDict()  # type: OrderedDict[str, OrderedDict]
         task_dict = OrderedDict([
             ('@xmlns:oml', 'http://openml.org/openml')
@@ -199,23 +181,6 @@ class OpenMLTask(ABC):
 
         return task_container
 
-    def _to_xml(self) -> str:
-        """Generate xml representation of self for upload to server.
-
-        Returns
-        -------
-        str
-            Task represented as XML string.
-        """
-        task_dict = self._to_dict()
-        task_xml = xmltodict.unparse(task_dict, pretty=True)
-
-        # A task may not be uploaded with the xml encoding specification:
-        # <?xml version="1.0" encoding="utf-8"?>
-        task_xml = task_xml.split('\n', 1)[-1]
-
-        return task_xml
-
     def publish(self) -> int:
         """Publish task to OpenML server.
 
diff --git a/openml/utils.py b/openml/utils.py
index f6cc81ff..f4042f8a 100644
--- a/openml/utils.py
+++ b/openml/utils.py
@@ -2,6 +2,7 @@ import os
 import hashlib
 import xmltodict
 import shutil
+from typing import TYPE_CHECKING
 import warnings
 import pandas as pd
 from functools import wraps
@@ -11,6 +12,11 @@ import openml._api_calls
 import openml.exceptions
 from . import config
 
+# Avoid import cycles: https://mypy.readthedocs.io/en/latest/common_issues.html#import-cycles
+if TYPE_CHECKING:
+    from openml.base import OpenMLBase
+
+
 oslo_installed = False
 try:
     # Currently, importing oslo raises a lot of warning that it will stop working
@@ -62,6 +68,19 @@ def extract_xml_tags(xml_tag_name, node, allow_none=True):
                              (xml_tag_name, str(node)))
 
 
+def _tag_openml_base(oml_object: 'OpenMLBase', tag: str, untag: bool = False):
+    rest_api_mapping = [
+        (openml.datasets.OpenMLDataset, 'data'),
+        (openml.flows.OpenMLFlow, 'flow'),
+        (openml.tasks.OpenMLTask, 'task'),
+        (openml.runs.OpenMLRun, 'run')
+    ]
+    _, api_type_alias = [(python_type, api_alias)
+                         for (python_type, api_alias) in rest_api_mapping
+                         if isinstance(oml_object, python_type)][0]
+    _tag_entity(api_type_alias, oml_object.id, tag, untag)
+
+
 def _tag_entity(entity_type, entity_id, tag, untag=False):
     """
     Function that tags or untags a given entity on OpenML. As the OpenML

Add open in browser function for each entity
To allow code like `run.print_url()` or `run.open_in_browser()`.
diff --git a/tests/test_runs/test_run.py b/tests/test_runs/test_run.py
index dacade85..0266ca4d 100644
--- a/tests/test_runs/test_run.py
+++ b/tests/test_runs/test_run.py
@@ -46,8 +46,8 @@ class TestRun(TestBase):
                 other = getattr(run_prime, dictionary)
                 if other is not None:
                     self.assertDictEqual(other, dict())
-        self.assertEqual(run._create_description_xml(),
-                         run_prime._create_description_xml())
+        self.assertEqual(run._to_xml(),
+                         run_prime._to_xml())
 
         numeric_part = \
             np.array(np.array(run.data_content)[:, 0:-2], dtype=float)
diff --git a/tests/test_runs/test_run_functions.py b/tests/test_runs/test_run_functions.py
index 652d3871..2ec29395 100644
--- a/tests/test_runs/test_run_functions.py
+++ b/tests/test_runs/test_run_functions.py
@@ -206,7 +206,7 @@ class TestRun(TestBase):
 
         # This is only a smoke check right now
         # TODO add a few asserts here
-        run._create_description_xml()
+        run._to_xml()
         if run.trace is not None:
             # This is only a smoke check right now
             # TODO add a few asserts here

pip install -e .[test]
parse_log_pytest
pytest
pytest pytest-cov pytest-xdist pytest-mock pytest-asyncio
apt-get update apt-get install -y gcc
3.7
pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning
attrs @ file:///croot/attrs_1668696182826/work
beautifulsoup4==4.13.3
bleach==6.0.0
certifi @ file:///croot/certifi_1671487769961/work/certifi
charset-normalizer==3.4.1
coverage==7.2.7
cycler==0.11.0
debtcollector==2.5.0
defusedxml==0.7.1
entrypoints==0.4
execnet==2.0.2
fasteners==0.19
fastjsonschema==2.21.1
flaky==3.8.1
flit_core @ file:///opt/conda/conda-bld/flit-core_1644941570762/work/source/flit_core
fonttools==4.38.0
idna==3.10
importlib-metadata @ file:///tmp/build/80754af9/importlib-metadata_1648562407465/work
importlib-resources==5.12.0
iniconfig @ file:///home/linux1/recipes/ci/iniconfig_1610983019677/work
iso8601==2.1.0
Jinja2==3.1.6
joblib==1.3.2
jsonschema==4.17.3
jupyter_client==7.4.9
jupyter_core==4.12.0
jupyterlab-pygments==0.2.2
kiwisolver==1.4.5
liac-arff==2.5.0
MarkupSafe==2.1.5
matplotlib==3.5.3
mistune==3.0.2
nbclient==0.7.4
nbconvert==7.6.0
nbformat==5.8.0
nest-asyncio==1.6.0
netaddr==1.3.0
netifaces==0.11.0
numpy==1.21.6
-e git+https://github.com/openml/openml-python.git@c40e474fff97829f12b90b35cc784ca5a3d80af2#egg=openml
oslo.concurrency==4.5.1
oslo.config==8.8.1
oslo.i18n==5.1.0
oslo.utils==4.13.0
packaging @ file:///croot/packaging_1671697413597/work
pandas==1.3.5
pandocfilters==1.5.1
pbr==6.1.1
Pillow==9.5.0
pkgutil_resolve_name==1.3.10
pluggy @ file:///tmp/build/80754af9/pluggy_1648042572264/work
py @ file:///opt/conda/conda-bld/py_1644396412707/work
Pygments==2.17.2
pyparsing==3.1.4
pyrsistent==0.19.3
pytest==7.1.2
pytest-asyncio==0.21.2
pytest-cov==4.1.0
pytest-mock==3.11.1
pytest-timeout==2.3.1
pytest-xdist==3.5.0
python-dateutil==2.9.0.post0
pytz==2025.2
PyYAML==6.0.1
pyzmq==26.2.1
requests==2.31.0
rfc3986==2.0.0
scikit-learn==1.0.2
scipy==1.7.3
six==1.17.0
soupsieve==2.4.1
stevedore==3.5.2
threadpoolctl==3.1.0
tinycss2==1.2.1
tomli @ file:///opt/conda/conda-bld/tomli_1657175507142/work
tornado==6.2
traitlets==5.9.0
typing_extensions @ file:///croot/typing_extensions_1669924550328/work
urllib3==2.0.7
webencodings==0.5.1
wrapt==1.16.0
xmltodict==0.14.2
zipp @ file:///croot/zipp_1672387121353/work

name: openml-python
channels:
  - defaults
  - https://repo.anaconda.com/pkgs/main
  - https://repo.anaconda.com/pkgs/r
  - conda-forge
dependencies:
  - _libgcc_mutex=0.1=main
  - _openmp_mutex=5.1=1_gnu
  - attrs=22.1.0=py37h06a4308_0
  - ca-certificates=2025.2.25=h06a4308_0
  - certifi=2022.12.7=py37h06a4308_0
  - flit-core=3.6.0=pyhd3eb1b0_0
  - importlib-metadata=4.11.3=py37h06a4308_0
  - importlib_metadata=4.11.3=hd3eb1b0_0
  - iniconfig=1.1.1=pyhd3eb1b0_0
  - ld_impl_linux-64=2.40=h12ee557_0
  - libffi=3.4.4=h6a678d5_1
  - libgcc-ng=11.2.0=h1234567_1
  - libgomp=11.2.0=h1234567_1
  - libstdcxx-ng=11.2.0=h1234567_1
  - ncurses=6.4=h6a678d5_0
  - openssl=1.1.1w=h7f8727e_0
  - packaging=22.0=py37h06a4308_0
  - pip=22.3.1=py37h06a4308_0
  - pluggy=1.0.0=py37h06a4308_1
  - py=1.11.0=pyhd3eb1b0_0
  - pytest=7.1.2=py37h06a4308_0
  - python=3.7.16=h7a1cb2a_0
  - readline=8.2=h5eee18b_0
  - setuptools=65.6.3=py37h06a4308_0
  - sqlite=3.45.3=h5eee18b_0
  - tk=8.6.14=h39e8969_0
  - tomli=2.0.1=py37h06a4308_0
  - typing_extensions=4.4.0=py37h06a4308_0
  - wheel=0.38.4=py37h06a4308_0
  - xz=5.6.4=h5eee18b_1
  - zipp=3.11.0=py37h06a4308_0
  - zlib=1.2.13=h5eee18b_1
  - pip:
      - beautifulsoup4==4.13.3
      - bleach==6.0.0
      - charset-normalizer==3.4.1
      - coverage==7.2.7
      - cycler==0.11.0
      - debtcollector==2.5.0
      - defusedxml==0.7.1
      - entrypoints==0.4
      - execnet==2.0.2
      - fasteners==0.19
      - fastjsonschema==2.21.1
      - flaky==3.8.1
      - fonttools==4.38.0
      - idna==3.10
      - importlib-resources==5.12.0
      - iso8601==2.1.0
      - jinja2==3.1.6
      - joblib==1.3.2
      - jsonschema==4.17.3
      - jupyter-client==7.4.9
      - jupyter-core==4.12.0
      - jupyterlab-pygments==0.2.2
      - kiwisolver==1.4.5
      - liac-arff==2.5.0
      - markupsafe==2.1.5
      - matplotlib==3.5.3
      - mistune==3.0.2
      - nbclient==0.7.4
      - nbconvert==7.6.0
      - nbformat==5.8.0
      - nest-asyncio==1.6.0
      - netaddr==1.3.0
      - netifaces==0.11.0
      - numpy==1.21.6
      - oslo-concurrency==4.5.1
      - oslo-config==8.8.1
      - oslo-i18n==5.1.0
      - oslo-utils==4.13.0
      - pandas==1.3.5
      - pandocfilters==1.5.1
      - pbr==6.1.1
      - pillow==9.5.0
      - pkgutil-resolve-name==1.3.10
      - pygments==2.17.2
      - pyparsing==3.1.4
      - pyrsistent==0.19.3
      - pytest-asyncio==0.21.2
      - pytest-cov==4.1.0
      - pytest-mock==3.11.1
      - pytest-timeout==2.3.1
      - pytest-xdist==3.5.0
      - python-dateutil==2.9.0.post0
      - pytz==2025.2
      - pyyaml==6.0.1
      - pyzmq==26.2.1
      - requests==2.31.0
      - rfc3986==2.0.0
      - scikit-learn==1.0.2
      - scipy==1.7.3
      - six==1.17.0
      - soupsieve==2.4.1
      - stevedore==3.5.2
      - threadpoolctl==3.1.0
      - tinycss2==1.2.1
      - tornado==6.2
      - traitlets==5.9.0
      - urllib3==2.0.7
      - webencodings==0.5.1
      - wrapt==1.16.0
      - xmltodict==0.14.2
prefix: /opt/conda/envs/openml-python

tests/test_runs/test_run_functions.py::TestRun::test_run_on_dataset_with_missing_labels[INFO]
tests/test_runs/test_run.py::TestRun::test_publish_with_local_loaded_flow tests/test_runs/test_run.py::TestRun::test_tagging tests/test_runs/test_run.py::TestRun::test_to_from_filesystem_search tests/test_runs/test_run.py::TestRun::test_to_from_filesystem_vanilla tests/test_runs/test_run_functions.py::TestRun::test__run_exists tests/test_runs/test_run_functions.py::TestRun::test_get_run tests/test_runs/test_run_functions.py::TestRun::test_get_run_trace tests/test_runs/test_run_functions.py::TestRun::test_initialize_cv_from_run tests/test_runs/test_run_functions.py::TestRun::test_initialize_model_from_run tests/test_runs/test_run_functions.py::TestRun::test_learning_curve_task_1 tests/test_runs/test_run_functions.py::TestRun::test_learning_curve_task_2 tests/test_runs/test_run_functions.py::TestRun::test_local_run_metric_score tests/test_runs/test_run_functions.py::TestRun::test_local_run_swapped_parameter_order_flow tests/test_runs/test_run_functions.py::TestRun::test_local_run_swapped_parameter_order_model tests/test_runs/test_run_functions.py::TestRun::test_online_run_metric_score tests/test_runs/test_run_functions.py::TestRun::test_run_and_upload_column_transformer_pipeline tests/test_runs/test_run_functions.py::TestRun::test_run_and_upload_decision_tree_pipeline tests/test_runs/test_run_functions.py::TestRun::test_run_and_upload_gridsearch tests/test_runs/test_run_functions.py::TestRun::test_run_and_upload_linear_regression tests/test_runs/test_run_functions.py::TestRun::test_run_and_upload_logistic_regression tests/test_runs/test_run_functions.py::TestRun::test_run_and_upload_maskedarrays tests/test_runs/test_run_functions.py::TestRun::test_run_and_upload_pipeline_dummy_pipeline tests/test_runs/test_run_functions.py::TestRun::test_run_and_upload_randomsearch tests/test_runs/test_run_functions.py::TestRun::test_run_flow_on_task_downloaded_flow tests/test_runs/test_run_functions.py::TestRun::test_run_with_illegal_flow_id_1 tests/test_runs/test_run_functions.py::TestRun::test_run_with_illegal_flow_id_1_after_load
tests/test_runs/test_run.py::TestRun::test_to_from_filesystem_no_model tests/test_runs/test_run_functions.py::TestRun::test__create_trace_from_arff tests/test_runs/test_run_functions.py::TestRun::test__run_task_get_arffcontent tests/test_runs/test_run_functions.py::TestRun::test_check_erronous_sklearn_flow_fails tests/test_runs/test_run_functions.py::TestRun::test_get_cached_run tests/test_runs/test_run_functions.py::TestRun::test_get_runs_list tests/test_runs/test_run_functions.py::TestRun::test_get_runs_list_by_filters tests/test_runs/test_run_functions.py::TestRun::test_get_runs_list_by_flow tests/test_runs/test_run_functions.py::TestRun::test_get_runs_list_by_tag tests/test_runs/test_run_functions.py::TestRun::test_get_runs_list_by_task tests/test_runs/test_run_functions.py::TestRun::test_get_runs_list_by_uploader tests/test_runs/test_run_functions.py::TestRun::test_get_runs_pagination tests/test_runs/test_run_functions.py::TestRun::test_get_uncached_run tests/test_runs/test_run_functions.py::TestRun::test_list_runs_empty tests/test_runs/test_run_functions.py::TestRun::test_list_runs_output_format tests/test_runs/test_run_functions.py::TestRun::test_run_regression_on_classif_task tests/test_runs/test_run_functions.py::TestRun::test_run_with_illegal_flow_id tests/test_runs/test_run_functions.py::TestRun::test_run_with_illegal_flow_id_after_load
openml/utils.py openml/base.py openml/datasets/dataset.py openml/flows/flow.py openml/config.py openml/study/functions.py openml/evaluations/evaluation.py openml/runs/run.py openml/flows/functions.py openml/tasks/task.py openml/study/study.py openml/setups/setup.py openml/runs/trace.py
openml/utils.py openml/base.py openml/datasets/dataset.py openml/flows/flow.py openml/config.py openml/study/functions.py openml/evaluations/evaluation.py openml/runs/run.py openml/flows/functions.py openml/tasks/task.py openml/study/study.py openml/setups/setup.py openml/runs/trace.py