From 71b82033f682fec624999dc6a2553c8ff3516eb8 Mon Sep 17 00:00:00 2001 From: Zain Hoda <7146154+zainhoda@users.noreply.github.com> Date: Thu, 27 Jul 2023 16:55:18 -0400 Subject: [PATCH 01/10] training plan --- src/vanna/__init__.py | 129 ++++++++++++++++++++++++++++++++++++++---- 1 file changed, 119 insertions(+), 10 deletions(-) diff --git a/src/vanna/__init__.py b/src/vanna/__init__.py index 8a052685..c6813edd 100644 --- a/src/vanna/__init__.py +++ b/src/vanna/__init__.py @@ -84,6 +84,7 @@ import plotly.graph_objects as go import sqlparse import logging +from dataclasses import dataclass from .types import SQLAnswer, Explanation, QuestionSQLPair, Question, QuestionId, DataResult, PlotlyResult, Status, \ FullQuestionDocument, QuestionList, QuestionCategory, AccuracyStats, UserEmail, UserOTP, ApiKey, OrganizationList, \ @@ -505,19 +506,124 @@ def add_documentation(documentation: str) -> bool: return status.success +@dataclass +class TrainingPlanItem: + item_type: str + item_group: str + item_name: str + item_value: str -def train(question: str = None, sql: str = None, ddl: str = None, documentation: bool = False, json_file: str = None, + def __str__(self): + if self.item_type == self.ITEM_TYPE_SQL: + return f"Train on SQL: {self.item_group} {self.item_name}" + elif self.item_type == self.ITEM_TYPE_DDL: + return f"Train on DDL: {self.item_group} {self.item_name}" + elif self.item_type == self.ITEM_TYPE_IS: + return f"Train on Information Schema: {self.item_group} {self.item_name}" + + ITEM_TYPE_SQL = "sql" + ITEM_TYPE_DDL = "ddl" + ITEM_TYPE_IS = "is" + + +class TrainingPlan: + """ + A class representing a training plan. You can see what's in it, and remove items from it that you don't want trained. + + **Example:** + ```python + plan = vn.get_training_plan() + + plan.get_summary() + ``` + + """ + _plan: List[TrainingPlanItem] + + def __init__(self, plan: List[TrainingPlanItem]): + self._plan = plan + + def __str__(self): + return "\n".join(self.get_summary()) + + def __repr__(self): + return self.__str__() + + def get_summary(self) -> List[str]: + """ + **Example:** + ```python + plan = vn.get_training_plan() + + plan.get_summary() + ``` + + Get a summary of the training plan. + + Returns: + List[str]: A list of strings describing the training plan. + """ + + return [f"{item}" for item in self._plan] + + def remove_item(self, item: str): + """ + **Example:** + ```python + plan = vn.get_training_plan() + + plan.remove_item("Train on SQL: What is the average salary of employees?") + ``` + + Remove an item from the training plan. + + Args: + item (str): The item to remove. + """ + for plan_item in self._plan: + if str(plan_item) == item: + self._plan.remove(plan_item) + break + + + +def get_training_plan() -> TrainingPlan: + """ + **Example:** + ```python + plan = vn.get_training_plan() + + vn.train(plan=plan) + ``` + + Get the training plan for the model. + + Returns: + TrainingPlan: The training plan for the model. + """ + d = __rpc_call(method="get_training_plan", params=[]) + + if 'result' not in d: + raise ValidationError("Failed to get training plan") + + training_plan = TrainingPlan(**d['result']) + + return training_plan + +def train(question: str = None, sql: str = None, ddl: str = None, documentation: str = None, json_file: str = None, sql_file: str = None) -> bool: """ **Example:** ```python - vn.train( - question="What is the average salary of employees?", - sql="SELECT AVG(salary) FROM employees" - ) + vn.train() ``` - Train Vanna.AI on a question and its corresponding SQL query. This is equivalent to calling [`add_sql()`][vanna.add_sql]. + Train Vanna.AI on a question and its corresponding SQL query. + If you call it with no arguments, it will check if you connected to a database and it will attempt to train on the metadata of that database. + If you call it with the sql argument, it's equivalent to [`add_sql()`][vanna.add_sql]. + If you call it with the ddl argument, it's equivalent to [`add_ddl()`][vanna.add_ddl]. + If you call it with the documentation argument, it's equivalent to [`add_documentation()`][vanna.add_documentation]. + It can also accept a JSON file path or SQL file path to train on a batch of questions and SQL queries or a list of SQL queries respectively. Args: question (str): The question to train on. @@ -525,7 +631,7 @@ def train(question: str = None, sql: str = None, ddl: str = None, documentation: sql_file (str): The SQL file path. json_file (str): The JSON file path. ddl (str): The DDL statement. - documentation (bool): Generate Documentaion for the SQL. + documentation (str): The documentation to train on. """ if question and not sql: @@ -533,10 +639,11 @@ def train(question: str = None, sql: str = None, ddl: str = None, documentation: raise ValidationError( f"Please also provide a SQL query \n Example Question: {example_question}\n Answer: {ask(question=example_question)}") + if documentation: + logger.info("Adding documentation....") + return add_documentation(sql) + if sql: - if documentation: - logger.info("Adding documentation....") - return add_documentation(sql) question = generate_question(sql) logger.info("Question generated with sql:", Question, '\nAdding SQL...') return add_sql(question=question, sql=sql) @@ -575,6 +682,8 @@ def train(question: str = None, sql: str = None, ddl: str = None, documentation: logger.warning("Not able to add sql.") return False return False + + # Here we're going to attempt auto training def flag_sql_for_review(question: str, sql: Union[str, None] = None, error_msg: Union[str, None] = None) -> bool: From 80fddf973c4ba82d3af456a7f20f5aa4b8a5b30f Mon Sep 17 00:00:00 2001 From: Zain Hoda <7146154+zainhoda@users.noreply.github.com> Date: Thu, 27 Jul 2023 22:30:06 -0400 Subject: [PATCH 02/10] update testing --- tests/test_vanna.py | 19 +++++++++++++++++-- 1 file changed, 17 insertions(+), 2 deletions(-) diff --git a/tests/test_vanna.py b/tests/test_vanna.py index 56154e57..04b84207 100644 --- a/tests/test_vanna.py +++ b/tests/test_vanna.py @@ -239,14 +239,29 @@ def test_generate_meta(): assert meta == 'AI Response' +def test_double_train(): + vn.set_model('test_org') + + training_data = vn.get_training_data() + assert training_data.shape == (0, 0) + + trained = vn.train(question="What's the data about student John Doe?", sql="SELECT * FROM students WHERE name = 'John Doe'") + assert trained == True + + training_data = vn.get_training_data() + assert training_data.shape == (1, 4) + + vn.train(question="What's the data about student John Doe?", sql="SELECT * FROM students WHERE name = 'John Doe'") + + training_data = vn.get_training_data() + assert training_data.shape == (1, 4) + @pytest.mark.parametrize("sql_file_path, json_file_path, should_work", [ ('tests/test_files/sql/testSqlSelect.sql', 'tests/test_files/training/questions.json', True), ('tests/test_files/sql/testSqlCreate.sql', 'tests/test_files/training/questions.json', True), ('tests/test_files/sql/testSql.sql', 'tests/test_files/training/s.json', False), ]) def test_train(sql_file_path, json_file_path, should_work): - vn.set_model('test_org') - # if just question not sql with pytest.raises(ValidationError): vn.train(question="What's the data about student John Doe?") From e58b93332370d8aeba0576d24bbe9aceb8026fb0 Mon Sep 17 00:00:00 2001 From: Zain Hoda <7146154+zainhoda@users.noreply.github.com> Date: Fri, 28 Jul 2023 12:58:42 -0400 Subject: [PATCH 03/10] generate question only if one wasn't passed in --- src/vanna/__init__.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/src/vanna/__init__.py b/src/vanna/__init__.py index c6813edd..af4c6114 100644 --- a/src/vanna/__init__.py +++ b/src/vanna/__init__.py @@ -644,8 +644,9 @@ def train(question: str = None, sql: str = None, ddl: str = None, documentation: return add_documentation(sql) if sql: - question = generate_question(sql) - logger.info("Question generated with sql:", Question, '\nAdding SQL...') + if question is None: + question = generate_question(sql) + logger.info("Question generated with sql:", Question, '\nAdding SQL...') return add_sql(question=question, sql=sql) if ddl: From 87fedc2330d92a8062c69d62bf3106f7ff216c44 Mon Sep 17 00:00:00 2001 From: Zain Hoda <7146154+zainhoda@users.noreply.github.com> Date: Fri, 28 Jul 2023 13:43:20 -0400 Subject: [PATCH 04/10] change logger back to print --- src/vanna/__init__.py | 37 +++++++++++++++++-------------------- 1 file changed, 17 insertions(+), 20 deletions(-) diff --git a/src/vanna/__init__.py b/src/vanna/__init__.py index af4c6114..b41acbb6 100644 --- a/src/vanna/__init__.py +++ b/src/vanna/__init__.py @@ -116,9 +116,6 @@ _endpoint = "https://ask.vanna.ai/rpc" _unauthenticated_endpoint = "https://ask.vanna.ai/unauthenticated_rpc" -logger = logging.getLogger(__name__) - - def __unauthenticated_rpc_call(method, params): headers = { 'Content-Type': 'application/json', @@ -328,7 +325,7 @@ def add_user_to_model(model: str, email: str, is_admin: bool) -> bool: status = Status(**d['result']) if not status.success: - logger.info(status.message) + print(status.message) return status.success @@ -640,24 +637,24 @@ def train(question: str = None, sql: str = None, ddl: str = None, documentation: f"Please also provide a SQL query \n Example Question: {example_question}\n Answer: {ask(question=example_question)}") if documentation: - logger.info("Adding documentation....") + print("Adding documentation....") return add_documentation(sql) if sql: if question is None: question = generate_question(sql) - logger.info("Question generated with sql:", Question, '\nAdding SQL...') + print("Question generated with sql:", Question, '\nAdding SQL...') return add_sql(question=question, sql=sql) if ddl: - logger.info("Adding ddl:", ddl) + print("Adding ddl:", ddl) return add_ddl(sql) if json_file: validate_config_path(json_file) with open(json_file, 'r') as js_file: data = json.load(js_file) - logger.info("Adding Questions And SQLs using file:", json_file) + print("Adding Questions And SQLs using file:", json_file) for question in data: if not add_sql(question=question['question'], sql=question['answer']): logger.warning(f"Not able to add sql for question: {question['question']} from {json_file}") @@ -671,14 +668,14 @@ def train(question: str = None, sql: str = None, ddl: str = None, documentation: for statement in sql_statements: if 'CREATE TABLE' in statement: if add_ddl(statement): - logger.info("ddl Added!") + print("ddl Added!") return True - logger.info("Not able to add DDL") + print("Not able to add DDL") return False else: question = generate_question(sql=statement) if add_sql(question=question, sql=statement): - logger.info("SQL added!") + print("SQL added!") return True logger.warning("Not able to add sql.") return False @@ -955,14 +952,14 @@ def ask(question: Union[str, None] = None, print_results: bool = True, auto_trai try: sql = generate_sql(question=question) except Exception as e: - logger.info(e) + print(e) return None, None, None, None if print_results: - logger.info(sql) + print(sql) if run_sql is None: - logger.info("If you want to run the SQL query, provide a vn.run_sql function.") + print("If you want to run the SQL query, provide a vn.run_sql function.") if print_results: return None @@ -977,7 +974,7 @@ def ask(question: Union[str, None] = None, print_results: bool = True, auto_trai display = __import__('IPython.display', fromlist=['display']).display display(df) except Exception as e: - logger.info(df) + print(df) if len(df) > 0 and auto_train: add_sql(question=question, sql=sql, tag=types.QuestionCategory.SQL_RAN) @@ -991,9 +988,9 @@ def ask(question: Union[str, None] = None, print_results: bool = True, auto_trai if generate_followups: followup_questions = generate_followup_questions(question=question, df=df) if print_results and followup_questions is not None and len(followup_questions) > 0: - logger.info("AI-generated follow-up questions:") + print("AI-generated follow-up questions:") for followup_question in followup_questions: - logger.info(followup_question) + print(followup_question) if print_results: return None @@ -1008,14 +1005,14 @@ def ask(question: Union[str, None] = None, print_results: bool = True, auto_trai except Exception as e: # Print stack trace traceback.print_exc() - logger.info("Couldn't run plotly code: ", e) + print("Couldn't run plotly code: ", e) if print_results: return None else: return sql, df, None, None except Exception as e: - logger.info("Couldn't run sql: ", e) + print("Couldn't run sql: ", e) if print_results: return None else: @@ -1115,7 +1112,7 @@ def get_results(cs, default_database: str, sql: str) -> pd.DataFrame: Returns: pd.DataFrame: The results of the SQL query. """ - logger.info("`vn.get_results()` is deprecated. Use `vn.run_sql()` instead.") + print("`vn.get_results()` is deprecated. Use `vn.run_sql()` instead.") warnings.warn("`vn.get_results()` is deprecated. Use `vn.run_sql()` instead.") cs.execute(f"USE DATABASE {default_database}") From c35df67b280482121a19f5fbeac3fe15d49a664e Mon Sep 17 00:00:00 2001 From: Zain Hoda <7146154+zainhoda@users.noreply.github.com> Date: Fri, 28 Jul 2023 13:46:27 -0400 Subject: [PATCH 05/10] remove logging --- src/vanna/__init__.py | 1 - 1 file changed, 1 deletion(-) diff --git a/src/vanna/__init__.py b/src/vanna/__init__.py index b41acbb6..1ac35b35 100644 --- a/src/vanna/__init__.py +++ b/src/vanna/__init__.py @@ -83,7 +83,6 @@ import plotly.express as px import plotly.graph_objects as go import sqlparse -import logging from dataclasses import dataclass from .types import SQLAnswer, Explanation, QuestionSQLPair, Question, QuestionId, DataResult, PlotlyResult, Status, \ From f5bee39e6f1a4c668bc567d2e6e0066a72e29948 Mon Sep 17 00:00:00 2001 From: Zain Hoda <7146154+zainhoda@users.noreply.github.com> Date: Fri, 28 Jul 2023 14:26:19 -0400 Subject: [PATCH 06/10] ask notebook --- docs/index.md | 2 +- docs/intro-to-vanna.md | 4 +- docs/notebooks/plot1.png | Bin 0 -> 33607 bytes docs/notebooks/plot2.png | Bin 0 -> 41124 bytes docs/notebooks/plot3.png | Bin 0 -> 29262 bytes docs/notebooks/vn-ask.md | 284 +++ docs/notebooks/vn-full.md | 217 --- docs/notebooks/vn-starter.md | 60 - docs/notebooks/vn-train.md | 3 + docs/notebooks/vn-training.md | 108 -- mkdocs.yml | 22 +- notebooks/vn-ask.ipynb | 3345 +++++++++++++++++++++++++++++++++ notebooks/vn-full.ipynb | 1242 ------------ notebooks/vn-starter.ipynb | 144 -- notebooks/vn-train.ipynb | 19 + notebooks/vn-training.ipynb | 224 --- src/vanna/__init__.py | 4 +- 17 files changed, 3659 insertions(+), 2019 deletions(-) create mode 100644 docs/notebooks/plot1.png create mode 100644 docs/notebooks/plot2.png create mode 100644 docs/notebooks/plot3.png create mode 100644 docs/notebooks/vn-ask.md delete mode 100644 docs/notebooks/vn-full.md delete mode 100644 docs/notebooks/vn-starter.md create mode 100644 docs/notebooks/vn-train.md delete mode 100644 docs/notebooks/vn-training.md create mode 100644 notebooks/vn-ask.ipynb delete mode 100644 notebooks/vn-full.ipynb delete mode 100644 notebooks/vn-starter.ipynb create mode 100644 notebooks/vn-train.ipynb delete mode 100644 notebooks/vn-training.ipynb diff --git a/docs/index.md b/docs/index.md index 7d726db5..116c1aa9 100644 --- a/docs/index.md +++ b/docs/index.md @@ -16,6 +16,6 @@ Vanna provides additional functionality to manage your training data to maintain ## Where can I use **Vanna.AI**? - Use in a [Streamlit app](streamlit.md) -- Use in [Jupyter Notebooks](notebooks/vn-starter.md) +- Use in [Jupyter Notebooks](notebooks/vn-ask.md) - Add a Slack bot that responds to `/askvanna [question]` (coming soon) - Use in a Python app diff --git a/docs/intro-to-vanna.md b/docs/intro-to-vanna.md index 048ce683..d935082e 100644 --- a/docs/intro-to-vanna.md +++ b/docs/intro-to-vanna.md @@ -1,6 +1,6 @@ # Intro to Vanna: A Python-based AI SQL co-pilot -**TLDR**: We help data people that know Python write SQL faster using AI. [See our starter notebook here](notebooks/vn-starter.md). +**TLDR**: We help data people that know Python write SQL faster using AI. [See our starter notebook here](notebooks/vn-ask.md). ## The deluge of data @@ -15,7 +15,7 @@ Since you are reading this, chances are you are one of those fortunate few (data ## Introducing Vanna, the SQL co-pilot -Vanna, at its core, is a co-pilot to Python & SQL savvy data people to to streamline the process of writing custom SQL on your company’s data warehouse using AI and LLMs. Most of our users use our Python package directly via Jupyter Notebooks ([starter notebook here](notebooks/vn-starter.md)) — +Vanna, at its core, is a co-pilot to Python & SQL savvy data people to to streamline the process of writing custom SQL on your company’s data warehouse using AI and LLMs. Most of our users use our Python package directly via Jupyter Notebooks ([starter notebook here](notebooks/vn-ask.md)) — ```python sql = vn.generate_sql(question='What are the top 10 customers by Sales?') diff --git a/docs/notebooks/plot1.png b/docs/notebooks/plot1.png new file mode 100644 index 0000000000000000000000000000000000000000..48f7dcf4b634c8aaf3e882151e62f1fbaa43aa41 GIT binary patch literal 33607 zcmeFZWmr~Sw>B(zDIiKniF7wegMf55(jZ8OboV7764Kou-QB6u-QC^Y{jCeVy}jT4 z?0vk)_w8@L?~mt)E{+v*&Nb(lW1QzX#=3lEq=cV6dHLkQg9pz|@|e$oG8&-~eSUC(QStpci}N!2|pUq5{0~4jS7DFyUx|L!ZCI^U8n(U5c<4<^!Rt@Relc$ z+Z77qTKWDy2VC~Szx*}0U#I6OfpbdrW-sCY@i;KRhyUo|-vhi~(tpn&U_}46!Jm8R z-o0i?t#9e1nXXrzw^53_*Kfs6FN|NrBk`V zetZ)Kum&C!oVz^YJTWtt3rA@=pj2VfB%&&3O$=^b<_mS6vzn<>XjY_QzjpX`{mu`SLU${WOaF^f ztHGeCg@r}cIWn&g{tk8x$*UEVMt`hl=SZ!cmi=aDCZFHC`%3cLfde~H_$k7k;^Cz)0tfI3wWo%-`+cxyFENI5Rh4} zey^n4)JSf6NrijdXq_UMBw8ih~4L8lgqMLw(?R5+EASx4lB zO10%u>q8rP(9Tq?Qps97fgt=!7^8ty*RCtLqrugg#GqH*2Ol2Y3-$>z?<2pnC<&D~ zRs7Yv$}Cvb;$*jQ!C)uJ5zo!=uCQYwO4C7ucpJg=9Vug0Q}_E04UmA&CY|SfrfY1) zX*KHbJ3>jKP}+hzrV{4DO{e%8EOKFAzSd1HGaZvvq}HT#KHX*k@7~$sZCt9@3j}-J z2Ep=yj93R+?!q=Y#d@#tRMwf@ExTs9h1(B^N>hoqLrMDxC#>v4KyYs#3lR}zuS^V0 z>8(Z1%4#RO5-4mE0t-Ya{0bJKfh4MTFKTN{TE#4gLF85$K{R;Zva9d>DnN-gDZC5g zOgNj)p(2b!QbM?#%LV)3Y*z9nUgBFh;rjjnczL?o`fw@_)9PlD*=RT|+ZU=ciL6$= z!G&D_^bD8W_c>W8iz!EY`G+yx&Sg=n<#w%&(fTMQP`XGMefMn${%)yU&JSW=G^z@s z%f4RIo0ate(dT4loLxJoxk&OA!FIKR*SKsz%8+wo1f!$Ih!^AYvP z-uN82eV~y{Z2BCIdZv(drUsMRNKPs8lkZzKx7H-{I=7v?>$5qAknypb>R5W!%A-4M zzk#{6wmp)0V`L_m@%I-s(&qdEVZ{D%Y$}uGMkI}W2|H-KM4u5u5}XlY>C~&Oby>72 z%3#HUi3OuwDOCoix_=ka4+?-=D@0!r}?Tkl#E$1?@hx+wk44hk#q)B+)t#@35V77cpf>; z<#SROA+d0rEubkkg{@cI{_7lwTMzqp)L7FEvj;*)c?k`7{8p__Hj%sDol030ah}+i zQYhCo0yBQoIwBs|u`!gJvJ58{OB@%T^-5#04bd6l7mnfKw9_!U9|u~a-8gULF+(TUKMvw)1ljPJIEuJ=#_ zuY?S&r;T(YISEyub@zHLK~^dDo8&}|EsgJK9i?I$V%!`eAewN6FIa-U?oN-yl@bY! zhLkJ>G-agwb6TFQEM8=}pjHv}>6=k|i6hv69-0dDr;u75j$f0Xc(uu`L=7rrunB>1 z#uhja#9$XUbi#~@z7CBI!{Bq)$aBLF#L5TPuP-%bs|z&a4tYMu{*RLFHwa2{u0GRaf&K+cl9GyP;B@au#p-`(d zVQGEw4r6Lz9AQmmzluwcWom&>2u%Qq5Ej|S{&Ne;C)mUBhlJ!ciizPU3eW`@yt0q< zPu%XWqiWOm;0pvBOzU#Q8(bmM18)nQZ{PF_z1jv;hZ0|Eppj3&=)7<>_CX79KTtlA zksn8Yvtz4hnkWOMD}MnY@uKqzp0M0E2f1^G!)g(@Z+QdR!2|M$-)3j%RchP=U;w_i zV8{CoezrNo-SSDdNt*-vzK;?kD6!&5ID8N4RKLl9KW-!N_>sr~iE08e!=n+?I5$9- z1AW8cK0s##z(oGK6?K-uGa6sp!$j3XE>93Z9bb}DoUnck|Mz|5*J!9~AVFK(j++6| z2gs-iO#BgE|7-~I5));^Y07xOU|c{iW|#gknEMWcCB-HEPJY53pX7ZgQi<#E@EkT# zxwLLGloesM?TxosdM(#Z&#_%v4iR&68+i_HLn%JI1^oX}0Bb=~7#jR$*F~usjZ#>X z9KVdE6w(@C0RF)^QlFY(iG}vZ`71d0#CDH<&huzvZpIa%c=7t+e zAXxGplr$2=e11+dWMyC>C*mSwQMZVI8-gAjK&C$negW=D$8Ff|21dGWizSQ7R4Sbv zzl;I9%lpt~KeVpHpr!j|T`#DfzyG8C@c4TG3o;LA0)+m*)58xG)M8|yj|I=41K{NS zDlFa$w-^r$B^mVtWReK8vSvU3b@k8j%E*rePv03rkmaKP|Mz9El9Fk6Gw6jQ= zqvvgg%&7%rZjChYNqwUK=Lhs0ML;507&gQCQjkK$GG21@bp6W=(y$5wUNmvBc1y|i zQZon{Ww{te+rtNLuz^PciJmu-49Tp_3z#+ZJii1&*VVpj|q{;}q^Vzl_(7fCS zh2Ti-5VNr{1NsL8ULpR60#6-@)EfC zKsNrxE04dHnuUg&g5?RYUu8d{MW{i{@wb`&)tX=DWr#B#4#c4I?l(EaZ9%r+&n^3h zH8(k9|8e1$zbP@w7A=1BoCkCPi-e5&hUebyf{=(gu<3axG1?I@7)X&IYcTn64P+?= zY+D(>a*+qfy2$eK=1qTXnZL$z@7;1fi0p!yfHAXJ3jOI{evZjR)mSbs2)OzN`stqK zZ>RU$zqDthleSy}JuDOP2*{j2@P#8JZ6^Xj4kB03_a>?D|0{-xT%S{z#CqYG7Q>wS zhxB}yjT$f3QM=WG*h0y)O4R^5;KkI6{QkGr0NIwH2c(ef0PYAc&z9uc89;Ylx@1== zPHu?jt{piR{iCTZUF{x%Dq%hKj+p6YbF zzqcY?MN=_O?~u|sf;a47L-NsY?}j6EecAAbchejT>-0jhsE6I0GXKbAI6nRjRveW7 zM3v&1X6}dE`n!+c4~=ggulD&Qw@U*1S=)m%3_B4BV5g7nm%_$=w;2d`el8>}ICjr1 z%3+OXOUjSeFTDJ3Ez`%q)%gpyQIuePzQE9@Zd*j(@YR_&+u1;L_eWQWl4IoFV>#>n62=cs`tTj^SK%dfGdQQZBU(G zQB}w{c0~nt#_IJfZ;muY?y}-N^6(^a{rp<4sG0R1>nqWjlHMh#Vy2%LrFE2uc057B z2_w9kPb@BR6}R_AAuCuJLla*V_qAFgQP}hV9$CZcOPZni5XBmX#VQTZlirY+QrqD8 zi`mL+f9|=g9hK^Rg=z~ewdj#L%aastr8!$$>vY)5JT+;fnT&+(@!}cKiqVgUXhP0s z+mQsGFzx20`mxQh{4j{&$W7kuy<9Lo^NAe7`T*znF)pjT-yG7GE^@GkP2y2u>Z-IzB69t0 ztH$-Hrr9@Y-o3HWamR0&?v==38r|Mr;kew5JjhgiO2cf%_eaX!DUBnio*;!xSy1{M z?5DWV0z(>%!d;(9;ga!QWEK_zpYz6zHd5GY zYZmv;k3MsJ?Ml=UvW9aHP$)eVX-uhEJ%T=|^jMSeJvX(yfPqr-OZJP%5&06CUvG|Y zyGceO+#6rwHlvD3?~+BWQTC0>nAHaK|E%J#5%`UDYd%t$CgJRO}(;Q6?Hp7(5b3gWdrJo9TW zA@Sz$>A9{q;OJp%YOlWo2OvI4TYXEgD=k_hep*5xw-wiZ__DNnRy}Vob9S7EDp(2}MftPav{fv+%svqU@ z^Z%%4%f+c`Z00NJcih||cbs+Tmxn*Ps{3E<*NtfK?(DsZ+z}G-f6I8vsKBlvkw_1n4AZ1v;LjA|^>Qog$EIlC!1WXjIe~jkWP<{uyZ~M5y!1#Zo@&6Dl1wdYiue263 z)8t!30dHh?ucS#QO_Ecsj)ehAS|nKcj01ywR+B-`)c67u+;Gr(VqK!m>&gzc%Uv<1 z{EJYQ-jnBhO8H6@5H0npbFd>jwXzct|00ZK)Aj%_P8O70UM{|nErBU%3c=~sL2L$H z)OvALy7}P8&C>h}+|0?#Lc>fk`ctojFc?%>4B)>|Xf)|y*q`_B21fn_Pygg9{}QAL znm+2734&x~NeBOH{s56p|AITe=lD;I2m1sMe`0}eQL7z6SR(j0u!WF?`w(~v1oSxc z6jUqy7{|QEc0dKnleB}Sos@*T%4*Wg$h@r<7kI)oTiXl8$$}BQMcPneb{YzPC z3pBm(zK5_@1`9%J5SsR#@;AEw)9(Ky#E|oX!(L2BlJ1K)ByUGESWe0SN*u7YrrY9i z3FyO$UEFz3f3B^~S?Ys{g?5C@`g=Cpg+jqP$p^R_ctuWLzla?R6YnF3re9u#{Me?; zjtx*N-0%e}fQ9{IF{c)gcoU&;Aq&3)FB)bLF&N<%*(^H5J)OL0Af3QgBLgs?d&Z^C z2!Yp!Ht6?TP1kXKStt(jUeI6eH{q@uAYwwo1cXiZ*TW;+Bi9TPz~usbrv#QVr}CGV zlUcWXC=FO1r_MdB{|ORPYATj**C9${I6f~lfHN}zot}qQy$UH`_xGN%*(>UV#GPWC z-2zE`z-JEB?57oxLsasY9B!fEbeaS3+s(d9a*bxD>{iP~7qt(;IAK+mOJWx#Bmp9W zRDyn}CAMw2r7&-n7&p3OFc#kZ;bCUDg$*kNeu4c2JQ07Sm2wV50Tie)zhrmM&mDo> zm0e}oZ_^A177uUQWlJ0epp8Zdi6e@I{|4Fxe*$f1!1=TztRZ_q%q7kBx9Y%GhQH<_){`YT5SeS=9DarIOWZ zw-*44@$M(2{~bR8L~<*J`O9gQ6!|Zr#{qj#fLJy~phRcPZKA<7Zn!|DhsxtK0w%fX zlx;X#S5#*rS8Y$y6?jIt#%&Y_S@)~XuUIIv{uTOf-9kl~$FhqENQ*rWX%SZv%UEOV z5~ouPP2jkz0}u;hxPUK;Xj}!(@?`l32E9XK6vp9vXSzaIr^N|%t%fYN??!35)o=ji z*%m$|+_?>THwDw)0R~5~9W1KdW^=GEiQjs75({>2-$PSKJX2$7q&axrTB_co###XM zHyggjz*+(Urw$N8R#_7OYI|c^9sB)zC5dR=wp`k<{XG({%)1lmeWyxOywqH-KB8P1 zCjOPM3EM`hU;E;yFNnk~B@OXa6#xXA#iP#wNN9Nyy4*3N1VBRbm^h&Ai$U3my02lN zwu(gMwbPxrP)Z}C4yCk8ZdMvGTQ!Vfp@QjYGJswt?JZ6_^7)0I^DeeYBd5RGF z;L*V#1_V36Jy$7M%->=q0pIf8yJ(171?a?)G;y<$$_E8%1*`dSV=LKAC&bRXmG=_& zrc0&M#g-MvX~(PFi@AkhX3{7yguh)nb{5K|=u&JPDhkKkZprVd4MZn@^@Qp4S>V@Q zOY|hgTe661x$3Gfh>m`MXmPe{U zf2Uw!N5Xt=WWLfF#~Rh3FoWJRUuO7Yal!shuV>3YE_Nd0Ql1WSDyWDlo_8EF-nuP) zPNqFP(|ntvizphZA1Q}M_8KBPkBDm`Ixjd23;bZ?SHOTJp^^ywi>z>?@#aP{MFP1Q zwHi%xIcEn_ore_iRv+($c7-pRQD7-*zfdk9g{LH@a5+Iwxc)7XzQp#XP4>A*u?|`2 zU_=I+7-$2kbFA?0Lv`0|H43$gwQY#{1$WUsInkN+yRco^j(Mh~$asD#2`*^Z+FVsd zPSecO?@c6gJY0_GO_=QJ#vIynyud|fGJFp#XzPSM{dIcGV#rF6`f4N zzRAgg&z2`gP-J5P|L`6YgH?zT;vUkwltf!4`ntwkow_E=bL*8W&8H~G3N=|L7KTyM z2+5CuoZQlp8Cyc=J?`K`x`z>7Ps0IZzwi-uu}D6M3xJ%CdeWAW_h|%f8+jm4VnL<0 z^trIJ6Rj%%_9cVi$EUc*&j>{X?0zPiU!?CK+`F&!-F;p=Hcnoj6XT zlzbp!9wRpritZ3!xHb`x>-R$)Xqx%>7kT^>5cN0Z6FYVS#1KCY7Lx9{U&X(b%|E!t z=QFlH=-{vW{*+h=$z49)L$$v`Fn}BZ<%{w0y_~oTfMyd_A32jWU`0a+ovN_@wzc1q z@dDg`FOv)Y=>YBzWpwunt3m6%#11T%1O#>e0nYvhkoGT~{r+(J=pNy9zxWAn@c=Q^ zh(N431lWjze(MWn5Z&`1gaQKg))y2*IrUf}_WbF;!Jh9&0Lu$G{8IH3G4HceoJSAo zfz2gA!6FCjWf5eq>1Tgh&F=-{nidPq+=j4x-&g;ob-Z^7`mfCE%Y&hGXR+s`V#MAE zxJAdHf6l_H1g_{%fAY?%U7pkX^*Zz7I(Vc2^@1Ytsu zeO(54`;sQdRe+$Ys1{m>J%iXU&rJDQaGqMFP%N{N;qLaOk-gDSfhT7aK|W9sK{lQF zFLMYbS~pT513Zv{G&kP9q2P95<#Pg0bWN+|+Tma_Y;#a3)D>ZKU9u9AL%aQQ@E`F1 zpb5fF{WwR0@qf|;%wGtaIcnVUx%dR-5HUo5G;RN1IqOZdKUq5it(m_*u%56VHJbo;;EuJ!_gS^IkNQo3S~af#j$spyf5`z!G(SCZo8_8YTsbl8Dwv()mcRAK#& z3#tz!W_6&*u6kF=ZB~{9vCmdYkA^$5DwmU$wbkA$F5U%S{3}hI#y_gyk;nlfx;@DNEU6AL z08X{muAB*6A5wi(YQ~jr8)p~N3c48kkiqi1{^`CD-y3K=wBeQAH8F)kj(?r{jbIp# z*+M84DBB>v91VJ#=|B4Cc?w{b79fXp$ z+ESdkXlRB5YU89uDU|lzYj%hEkNz)M1S07)H~SO< zPixYht}Qq2dhk0UID+CioTXZWu!xr00s{8m&lwg9JjHmyVP^uV9Flh|&M~YRthROw zTi}Q3@`A_EuF?-WUBg5XD1t%WCTQLT4yz)qpM*K!FYXEnJg)C>1XY_v!!kuXsJH$SpvEdi}j8nt6=+TH%^RGF1Kv1_foN)D0D#QXwUov?}*ETA5n@6ain|lbW7T z20gKfI-}J1H#bS))Cxk2&AvqDWhSIuku-3_8G_lf{%{2FZ?>VFWtzU@3PclOqNFhS zRxRrb$b4)xe0RPz&!T;fv~e{OH9LBIU02CuJ|I@(cI|!uV!NP}D~rBnFwMBWSVPE` z&G%EC49>eQ z)owensC244W-~P_%LVw>t2E*2)mGw7W1F3u3cMNl2TN^HF{NvmTGxClhgR?J-Uu_k zmq7ZC%U8p8iod$_!kXBcSjQtZv)z(t#<^C@0rBLYq+Ms7Gbna}!8nfUI; zUM!ZyY#uM7JR7|ftckBuq8m|HUDA27HMVyVfyli}`3$R`_Tosla%1c!b=-dLPG)xV zI&j!!LS7a%os zCeGO^ER2N>!@&Q*8Psfx)k0S@=mU;P&BTECQz8OnQ11g(GujQG_xsrTbdX-l?e6X(DydcQf07Z{Il%9Ze4WQ4a z0>Rvk2_l;r#fUX4G$~bhH)m^!U4|8Y?98~jbKe{FPBxP*DsMI-s}OMJLXGLh^b^CRUj&`&NP!^Gp?LC7@94|A#5qY1`8iZG!1CX81{ z6-FA!Ix=jc<#@OnHozU|-(f7gW!`u+3o}^VRZB`!rQZzinl2K;$6`7|0i=7wRts4f z?$R)u-&~)+-MA5y25LBk%0@{to(xqb&8_xEMNmbGcdbg|jw7I#>3b53#tR&-^(^Es zw!PyHqfd1UM zlJCY!^rmR5Z7xFLe9qKAu$s`X387L%kMV7|TYq`XXYaISN@RSxJ3~Y!jU6>g6W0-K ziIOf6V`U+q>|=?OF?wp=9Ezj~XXI-)n!`YgkVMy)brm+KAdh9@)2@>0P} zw+aIh_IZneaNSfeP--BQQ}y-0WUSqqOum@B$sK%C7MWGT_;!j*@f}F&#*&v zRP(aC zt>!mwybfg-kXaH4#Jy2t&~*^fzkV%QW3y|xJ3^yd^Da-gvH+_7U3VBEi_PRZH#&91 z(>_iekF}HBXfqTxmvg$N`Tp+@&nyu|HC)=WxFs*ugvn4VBH4G zrkF$kD8fR6@-a0ZNcd*P+>i=}w^E)mybtf#A_8 zsfP@DLvA(CLca1p7BWQKly!I`9tn$L4uXzrZw1ZBy-eg{)05~w`^4pQ;3uSuSbK`g z@b0p6rK?rvvO{>!xl+Ei1vi?AF^*{qxd+iKn&@nMmIisk^X+OoPju6E77<}PLXMkE zhQ60t9d$d%NBYh-C!Aci)8&L#wk+8fN>=)#S&W=?h*`kP*VoP$d0WCI&S$h6ho{bR zc@A(C(R2n?Dr?utz9EXdmArWxm7<}flKK_A8|g6Z#`>>r_I$aenKe@5Cm3S*1;KYZ zAtvKRz40VRgW}9R9z~8rt*b>NJPkrFta3T^^8EUDEaG-M*Fz>>`f0*qRqGwQMh8pB zqDae6v)|rzPCLS{_zp{p75}(MGcJ#kh@H{QxTfA~oFWNEb|@9dSF06@q*XDg%dlK* z4uQU~ina4HK=ekyVVZhO2NZVeiJ?C;d>j%0w=mHJEEWzU={kHf?ykNhd>3vgnY7uP z=##Chh^JVuMH;R*KNwA?WkYH{O7y!{Upl`JjK|)+-Z!3!ddDdI*#PmSzD$;dR$F%n z6j$|yjH5s>;{NrGEE?Bd{apxW6n*Lh*6mRm+~LC2UbJ!JMD~}uyM;D}U$w+WQw6CK zv20T4v?^MQ6hKWmspQL%volg5)kd;J5t{mjb(&wG2eVLmLawFT8W6)7Vmz5lEBwC8 zrFV&JD;KYne-4nq?wKex2tay@fDm{Lq%a@PJXWcZQ0X{!(XX~%3-k@CaX3iv#ha|r z37W2Re4C?~jjvRo&f?v5d$cEt$*KFPn$?C73T$p5aN?ZLOJp=zm(F>$Z5>Lj!eBI- z_Lcfw4V$`iG^=?a^}B}2X4G{U=ot;nbtM5EK8MqO@cet>0JuwpVwe!0?S(PSQc21S zbV)2MtN}zm9iclz?e%GG#O@G+4(1=RcsB6WYO5kRbU#YGJz)^p%mSYtU+idY2EjVL zForsnINfGX>l>RBsaMj7oOQkI0Ps&MM_R%5SR6|f;;ge8=^f`lnXzNPYU%ud&5yPq zys+1FN~~(>&^Lqr7E7cOk-JH*Kt(VYN#Srl8O~HCJ>2upV2(itXC}*!8m?E*UcrB& zQYwhP+wHF?w=c$C$9{8H5`@idCqXK8E=qdGz@O6~!#m8MOyOm&-ne_>zaAM?yhPS9 z!Dv9-q7&3H&pXE%>_{i0Vpt~=fuRwOurnK6c!l_M4EGp5Ss#7aEg3x8?JRZvDtV9Q zI9jH_r3H59d$x{;)i+!Lz9~=rXqQwy#;{jHTuU*fy3BY1x3^b5#Zau{53QHU^y6Fv zjy$ne+s%caGGi(=mBNtqg}A@2!`$-aZ-yi<2t zq93BMiKX93pfwjOq-zMZSR2An2Utbcpd4okxyKJG)(9Mi+uzojETbUBS2j%ru&=ri;)q7xi`D3lTs~|gxMlB#^sn{p9;#Pad?)T0 zFij=9V?X%FwQlAP*h}c)3RQdYQk#HI8&I>=R;=SOwc5VF3WMf*))!({3d8l`;Ff(b z`xI&aF^(t@tE9k93uV$=xP`1AXua<)yG*=}9H57Z(%?{zHwU)FQFscRf824{c7me% z5{}{~gqA;vSGF^oT-T(DMRdmJrWJF02gbjG`VM@kKreZ0!S3+Bky@={*d%NS-|^XV zyC3O4GL6eO<>~}P!{DS*jI!+afjakevxL|TUy8Tsq0Cz>aaCVMQCd61nT^FJ%Qn)~ zHx~7$KA{v`?eNxn#!B$D6g?4Oo%BpBOrQPUuLFHLkKo+jq_3H+q`BIisAu=|lOAHM z)7?e4O850wOFJjU1X7t82FFm8&!AGOZ#&ky%12E%)@fL)-d8&dx9oBpbwfMfk%e%C zh=6x@EtNHiB6Brsn4XaEGkmwa`8{VSQ}QIE_qJ-wfYkkmHRhmD@$t7RF16F`)ei;$ z5|3s>uD5Y+2cTk4#jARzxasaWH`bUDbeed)7tg+E(=dDO16j=FRK!_k=}lhGSehb- z5NJ|Go|dJ^o!XVNYU^$mOfrp^MCm)!ni-#r60v|m(L>qPy|nzR7Qp!%F6U`~o}+lF zf-)lJsRMYmN0YGQE%8}kgcKG=G?CzsSfUv=?rCn}ngQH+?KvO(%sNrLsjq9W`KqO| zp(N6@dkr(9Ptd7N5R`i2sB+gM>Fb&JgA+*(w}*_ntN8)!8G$=f8_W1P-pYvK!ObKW zKq^+hjZ8GsRgp19C&qkrcIWCKKAvOVu}RJhM!31VKfcK?UF6*{EoewX5hP)ikiur7({~Y$@*dLEo=*`aPTa5w*;SxQ!QME%q zg)L&0lI2x_173b1kp!j9SQ_0;_E=6M50}|oXQpAo)i3?lVN!{l6u!?%LoHFr;*PWe zvDr;1S3CUPz5>%ys8?nAUt9W5(AwTy+D=qy)iaq-k|!fZpY$u8HD;hH1qGXd`>Ucu z=D;6rCrU{+mk{R|JDw}%&lqYGGkxB?27td~p&4oP>;6KrBnhGu4c8u%fZ^*H_MawOe+M9X8X#F_s05`;P++l` zMkObsk$!H^*5Q+1ZO72aTOGgn&M3U8*x|DZLpH^~&OVrbinOj1JBo+A{HfBAAM1Fl zffTO4)C-~`NW^kV`k_-Th#IeJ=$i{$?b<1{95|Jhm$n92#jSws?q}z{j>5@EOn7DDCEvw8#t`0gwa!) zPL{0(Pr$GB#o0_s#+AP^`pjW(Oa}lW2AIOlNZuR1?F0N)k@VCH;bNHW??dT?CEh@p zYV`SQNy-p{rc#FY^8m%Dz6B%!!`(=FMfIRWO_48(<|5v9`FbNcfR@12o;EmkUJU%M zMU9(8e-M8+BKsp}iy*G%@%PJ1h(y505bMirBUEXaGK(!=3`h_0gx$>RxN0OtNy{m{ekgo7AWLXRhl+!E?kDvkX4v41+gzOZI+m}g};iRysr<9Vo=*%xg(nGuzUrBG=n zX&o4@k2+mzA2h*|86`|@s86xOh{akE)oWhC8j}Hi^8-)`yn~xzwI-T$g1Gd1(FUHz z#u^IJ-S8yiJvp9VnW{AF0E#|Ef_9T0*HA=X-mzVhWdk}!n1USFg1P-JIk@{Of&QzK z{l$E$v^qEUd&J#RZyxM%BwqLPQC!P}lc&$PsHHK^(5Mtb26Wo6f`ZqkU-YpP&Aho$ zHk)gpc{l6UXA;zJ)0N0H6jaqYaBJ<9oK+!MnrS4q(=%n)(HYUzGm2QxBp&LQJg46i z&b`_b5}7~wf;V}M9w>Fj+&S^}g+58hkV=@0d#P6GQ?J_S9!@LU97kfdSy)PJ-f+E& zKMB#6+N2VCBJs&ugx@1-BaFA;?v{J^PkD{JQNZ3FFV~bxxKwJmuFI6qKMkGG$UgX- zI_om6FDosx^n5I;+!38q%2 zls0I8U#C;^qTh4WrtrAdym1BAy#IzymN9c@+FHgf;q;49s>UXX4D#?Wt@DW=^r+SOFizF@fy)m8-#P=hXPBo6S?d%4+c^kbPgmnh6gvw?r3{|BK0}dC zW6=l!;MQwC)Qzu(7l#WX~X1CwXJCle3 zK2MIewqbG;scag_c_(~{_(Hp)ZT%FY2*yUg%=95}4GMVKNUM3WLs!V^)KiOeono(P zbm+uLp_K9I`l?U#!gdwA)K&=Nc9XzlE+YbfA?f_#Bd$&4)qnuIrlfbvT5fr zzxH{{BcP9H_5y_|z#>~tFO6pwTOX@f11J;fK*>&GYC|BFi0(f)MVg4VI4|V);2O4V z!N!c?0^~my>ooXP5petxpy!_}LT5=iiA3*Op833#40GZ*uRx`WpVRdp@+xX=&UztZ z-e0!S*fCC@ng-$Z!<|04s(^UIZh2U>JyAb3ecp5@Bp!j0^HN%QkXTf2qLW#FN*!RG z-KXEta!0$e!FM4*al-4*?rtr)YK09zpc^d{9opE`s`()ag|mj7|Y$x^OOM zyDqvR{g>vdfq9tq9nA3$hzOlu017A^@tF(0L+M+LFo!e%bP2uUSn+Ge%~2}c@T2F| z$*@}O+~E?D_nMn0Ad+BVE{9_s=hp>5RT$!9l z$&&2CoC@nqD*QHX&(04}fckGyy}Jh2!2(k%%!3(`FwU<+<&<*uLXu%BCUbW%a*r*B z>J`TFap2Ku0M2@AP{Ly*;r}G%!&pH~OG9fPDy>{Iu~a`}v`v@t7VBgO;#`mg-%-73 z|2RGx`{hWjRRo5F|M);E7|W8$q#Zv7po-m^RT7<%w6vFk%7{sEr(L>xO4elGU`-Kg z?RS`ptv7GP!$|X0up7^$43_Axcc-)tB^w(Gio5|SgDd2XPU~9z;&-?k9apq_;I$%Ed+8E$6GQH1R|Iy~@kqRC{{cVtu>s_C|OwZ4gI`BM!x z@ZA7qUXGY#P6Ixb7%X!XKRT;2^{+!7zG}k5FQDVRfwZK{VXTR}twy%NEs%lSvHzM=D6BP=2x$#04dlDB&P#D)GZxXm(AGEDZ z;khwQt%dUgLY(eU#xvl}eOf_iUgA-Op*GU#QRqD{vG$_hmWUg-cC%aS$28!?aM|o# zcrCSowh46IzTuuS2-i3S9(%VS5VqsZdhl-*0pjIE`G?GjCz(-+Mbmq6-yvC&LxnlF zR{oT$73P()L`K)<)1LFB#2JP^p#2v2k<45+6$ho!g~J+&X&XJ$b^Q z)@t)L6PMr}(jC2dL7CCaV&dxK*PfpPVxt|tmZbZ|Fs7B|*Ypon`5?}L+v1rD)yojG zd^jx^t5E6W=5Zfio?XV1H4ye+^5?YSvAQ4DpqU*95lNmfzbk2#%;LelSbCu}&JXAZ zF(oUy{lN>X5)^3to4gyh6J+{VChJ`tr^&dytp0EVT8Qp%NDY%(AvqbrXd)dmAz@Gp zwsYHEiP_Z)K!sXb8Svyk`A|u#%>@jZKI;o#0@Bq9o?!|33Z0D1>E6@_bUvpSb4Ps! zk%xNXkEwIZjD|W6lgmjhJ)BxrdoOy*Bp-!1Jw9CSF&H$?ebCR3w$vOzb+peo0 zQ>iuT=8dkF_f@(jEn z$8L9QUiz*G-1vsUwzIFq=EC>_0G!Kb)ur#W5T&poI)n~W3ZRM)0Me(9J}f_|<*EJH zO%AP#?bX}rLo|utYc=zVuo%V+XLiF;rW?wFsK+B1loW&4S+m<8aw!r6<+u=)IQvx2c5KqqK*9%$F41JV zu8EjmX7BTwRUFqRW>RwaAT9^a&#}t-9gAL}++bdndZ!4R&2g4~Z&0x@q7*LV9nG)@ zus6^Fani+x|0Uu2K=EpnfCTz0NqDEbDDcfox2;jrus14Ra@7nik_?XmQ2MQHU$W)_ z3;=hZK_Ze`@Kdm-jLR+ zd)t|}r+6LhsSxJ`ANsWMY`v%aERD@gs_8Z`q-HBUO3tOs`Zi;&hr?}Wy{K6t9IT3pR5i5ZhI+u&hbu$I&lx`}iq~7w` zTxWO8kmRds4bR8NQNRxe%nh9+0Ehq!r3i*zEx8Gx*!qC3c-pt=gMWp21dk58J|-1# z)$gzJ5{6-|QbqruP!!dMBi`+1m`3K(YZ*``NpxBzTE!XcdrgF0;7;%dX`tv7T|0RR zX*i$Pska}9vJ#s8zQvAT6bF-Usm>h6pwaF#zdr2m9VYykA(ks1y0K!nKIJU!5pBHOa?hCyd_f8DStg29=C{i0h41OcvM3?HY5>mkn6LK7e8^(N zXQ*2P6As3c)%0Jb%`rT^kFA+(RKAxBfP_B=Y2Y{ z7h-)54R~A}+C{P6 zWbz`)qHGg@UY;U_itw8*dY;WjIvz!}1I65uR-c}rQ8|~2WdOhJVEE%B4o8J}PZVEW zQ%!>5SwmwQko+KZBM+tnpgTd?cpKoUQmr}pL4stGork_3&5l${-AY{!2ViE$F{EXR zG6sghZ}()@dFGRuv6j1I7-u^)OIzi0)CE`ju4Wu$p%3J=D$VCKHU{!@?Rl3DKt?GK zdLq#;u@lT6BhVKMIPGU?Yzk&8T%nbcKN;pX92q(~TGmW=DyLk1ukvo#@x}T=31#@} zvJW%>hSi_U`=JF%JFf@33t{Js6*&dOuFe73nJstfPwxG6DNVRGUGD+iUbpqw2nvgT zEtiW;OG1XuF`?#UIUR#4rU3vxt&-6uoK0R&mQVEqsWlr?{BgKNJHx3rx#Fn$cfOC& z^P1v9(%=Y;!mo7${R17bkx_9_DVpq{oo0hGdV2wdjMYK4FFfXAYHyZlXs_ZNQ(~T>1yPpqeH9aQT@`{sqPT+wpcbn~?oCdq=Ks0BI%jjgxmQ!3d!bXV; zm057*7mOo3_(-wK%%sR^c7`}><#;nhAn63Ya|JnPsfibPcXx--#t`NAvisoYrd81i z!R0BJOWm?N4r1qQRNKIdYyv5+Q|dm^fLOXX`KD6+-dBl)Gu&JkQ5*VHGs{V2t%ftH zTWyWI-2DzNR{CAbG;)2jkl$Hy{A$I{4&JTHGLY~JYJCb+4+$uO^22~q53w&90jaq! z={0)45|O28&K2r5?-OLuzGN-d8nT0+#{<|+kM#rKI}9M|h2C79cI2^xMLuUTirm(* zYuD`#D7d$8Yqb~cEw8AS_xw;E%4xj1^*&Twv+ouLNiy$#qGE7vk7bSnU}{iXrt-pd z>+Z?mCyLZof0VvRm3!vm;l}h0x5(Rfsf}K^MmMnRbsK?4Ug%=O3zFnaiaYzwa3zot zdK#p-!M?_Zp_q}wZin^D$NpKU0A!Uq!>=}ux%~d4Ts3ZWK%yx6sbzHuw|Pag!>8G6 zZnr3we6{u;EnO?s{xNA5-#InJ#T->Ksd!**6Qs}+G%@zQM;!Nr@bI(l z5XDS%fnWu>X^d15)799w?@hW#83C)^@uBHraZPAb4FiK514;$TLZ>@3A2zeeWXz{a z_#wq6>}o_h8EY$^h}mVrX&%l|W^{qeXUc zAag8rypbqoKAC&-|5S69ZE=Kclg3>GBv^2F*C2yC6Wk@Z2X`k75L|-0ySrM@YF~mr++#a;dHPGTKp~UVbb^DXfoc%%i&$3RT|M?dmBnD-~#RXYq7N?US~Q&nMs++A@U#~EznC+vCK*_%s_wk-4UkkHvf9%TrRD_ z%4{a&k_O3u_4eUprCs`H0U0@D(dOp&rAn6=bv+i-Khc;_a6PP8_3hQ9gWAydvDN2o z?E>FHRgEzR)lZ0)O7rZK)UfN>T<<`q!e7raeixNaiLCNh8}z~r-e85$l1g3PU-4$; zR8}(uP8U6XBN^1?*wBD!8)J?4cl(uhxhXjmUA*bRcfA}k5>SX3b9ZuE$cwM{b~-{k zJKPqfYxdMoN@KGcsqGB3T8Y*9Zy1bR0Nm4MA3V^^CLv0Lj`WLU4yVTT+5SJU*=f+I z@%2Kc)1M=}1j)}kL;v*v0VZ#kNFhr-Fks$sSXdqYFdnZf{qE7cB(7x=gy;PLh>rmC zmx*34fs7+tw>whk*SQRxsz%fCNDlaHGsFa0LJ~aEN5tC&k6Xt3GPFyB@fTf*Yps&%62erY}XOPG_sy4pSXN({nzpO}y!8hP)GB z{w&!4rVw<0J&byp4j1Jd(eLm8aT)Z~qlt``%do=){bJnD6M6W$Wd& zH??x!;ZS#2sns=xcZUVUf-GW;fg5bOA8@}F`{0BkK+U+vg_mw=jtzh`|GskK&A}uZ zH{3S*#`dG@)nBY7;?l#PYety4%p|6V28D4I8j zJvxs7)ePf(Ew-g!*8AaCnvUs6eXmMQeP}XGewQ7{Cov@b(^YK)XDS_!E~gUP(%x%y z;~xKDj{)D-E7KFNvj`raPgxG+9c`2yMM26ofd0Jk~+~fn8kM zFETfcuHy#kU0ncKcXx!#YAj0qFP|F}tFQG)RWCfJ(cXnYpQr5qWKqCCf?9qQ@a7_L*EF z3Jm4ZtXk#pUC?uoJ1`xIm%X19j;l418u?+@zI&DQ>z`AfX`UO z;~(nSyZr~iKXm?u_m)uh!--~Xwf~H2av9`(|G=8ISiXX2F`h-6xp8E)ouBcJG7l1| z;awVv9h63*jYF-*V5swsTIqz)8_7Z8H;~|?_P&TjeqyHvMoyYjuN(kE2!;eU3Es3y z1P+mZ@-8vhF`MRG5TpG(t#(DI+2S%n;hC@QJgY`KfF-p^OfU@muMk_A`F(vN)&_W3 zibllZvAD1tQKG?8hXOd4fSDeRP6Uht3k>wRYLc|~e9{Y%>y@AoDNNf*0^wj|gNEXrcgQWm0#Aq_ZpW9|1OaRrsgp)i*i<`_e4hB?8!3 zO6#POX5dN_tfye53S|g+4}Eqn_<68|v2PK~Js&O%^8{Z5H0PO@2k$SpctWTY5)ZP* zv;}(Kc=j=6vp%&ZGOG5mvvVw)k5lki4uADz5!X3)!+bd^Trvds5~B_{`><32pBvI0 z^bDZHY!=VJW=iHJgFqPuns*?~2s3V_|7@*Y;SD_bGtr7u@sl>-sf-?wN=t3@>>^T2 znqy`$_^sY@S}ndRYU4Gi5O!%SVp@~j>W|RP}9DQ1o$SZG;!Agj!Q6&#Rc#n>?R_oIi2Tl=723qotJuSbJO9h zh}|7*`JyPMj_XXJVHX$YR7>{Iu!X(|2gKYB0R9MWyGaWyVkY%)DD#%4U!TttJM{9) zaG7=Vh9c7~JE+tdk~sH~TFK2vHNB_4ffsC-6us_5J1OcRQ>Qa_1&dXN3EPq=tFwCO zBnt{(0(}l_CGN1=YOQIX@H&iM^=KN~5?IE`bSgY#uh|dw#?$vY*iUyPQTDJEi%&xF zvC9F$|Ni2n7ulDB!uzW{v6;kO4ykIUfHXx=hEZ<=xgJa!YqwjbX5XhQm&J<@6kLmVrLIsfwg0snh@#ANgc@T0o}ybaC5cyL822 zzipZTV(M@Xb`kOX*HQ=|1vEueShRw8B5m;Y0E~Hczafp*KfKakw)8(Nz!wQFbIX$l z*{ewr+CRW-S!hZ5SiY~Jbw?)9SNDwp3tk()39)}fbT^B$q6fnz^!q_t2$kxUmazTO?%UXv?-t0INFX$7<_`K#TLu@+#*cs^PXz5|OL zxP(wlGV$lvkCXupFUj}fS^%*3=y=2De3s?~N9ujTp76C$@p#Yt*eFLI`yUo3zC|JV zC)tWK3gUZLk*ZSd2m6mw=iLJ5uuna$J7C&pP@Xpc`E-)5hT>yz5L( zg}zD*MSWz>zCSvf6}(7>P<~IH!H@e#DI_QhAD&WrLD^LM$`JhqNHuC@e}g;PZ!~O2I!1eOc`Nt7p%0{}KxYnUR0F=2jxrUDEn7X?4Ay0W(TL9YRuuE>us`2Y=R z@SYh6EFW!n7uP>Buc72+S)p?DZ_bDiZo+N$f!}7j10ITKtvaj z0w#QzM2uI)M7*p+OPxkJjSLnMlT*RT%wL$SxqJ03??&h-?`*^W4Lb^Z4qrehfWJb1 z2Q65Gh1ZeN@aD{>4&$g*L8;{jVkNhUVFsV$?n7<WRsv!Ar^DIYEanDZO+(IwY6L}pCef;hSaFQOZ{wv3 zS#~crth5zsN#+;`kWK(TlC@g-mnPgjK+z}UvSkucPTTCHozjx{Nn9G9Y_HeNLaRiK z*|3-XB*i1GQ;X^`>cwt*uQ#r$fOFZrO6%Wemb>`snTLP<> zYw{7db;QuOxoXXSxVc?ClO>8%r%Ug(QnJ!Ir-yAxnVn?l2gHt>N z>hvc9s62gmTNcE;U?{gmuWp@mHI>SkcEo}ZB&`=vb|Q!!bkf6#A!7-Ygw0KPvj&3U z4<)_M>DcHx85JWs1Gq8;w>u}>Tb{@GN024naXn{rW?N)o^U*%u-@m=Bdsp82ZoF%Y zz`<3O1UU?vBQu9~H(y>PPd#s<3-pq`??c-Y@LRQvvC;WHyl@2!d&B2`_lEJ@x;(CH z^>#H&%8}vflu+>$cKH;4o*He0XUVXBciF^zdi#q?_*cK>t3eu<{lOwvz~u6RVHjDF zMRix-O99IJrH)b(OM*4;n;G)~DoGXtzG{Ez9+%AvN4q|SDSVCEx=2D!1572;u$9K} z#I<(!G-B2n-e>dqRggs65jk>GfXS8)G^=$E9nnILdUF>HX+2BGz_eE%=;$nzvVWBD zFbg3{rq_f$3mY+PD?);vJ1s}r<%09AzaR*iExR97OhQdcR1&J&rZr7A?oDJ$(1pWAQuc~59}xlMhGrN_1*Z{20Q60pwAZ=Uwo z<(_u3EmV>P!p|UVzS$CP&f!pHD|{^>$YXM+2jWwnayd-+-UP~7B+{f5gAd`(W?<7| z!yp!50l185i}fi9UOPS3kIRj5_6~Qk3!hI5ypq@$(YaC#SMPhdQhD%5g<TG&-wuN8Rn$*}Cvx6Z^l%9xpqg85D)-^SD53`?z4}962;Y7Tm z=N%p*tS_c833)~wqJmL_{Eh`T{rn>&1E6v=vn|(7HiszT?s!Y^6X~=CjJPOlbrjRM zR4+xuKmJ*;jqUKfmYtW&b-LO`Hl8>rtihDR5u0N3+0`0J7U^yz(qHxd&O+ukYD&Q2 z5%8+I&r)5U8sa`#*s?*M6AkPE4F%LAd^dOW@Sm^<4?eH;p-1;3An4D5VLQ8FxZ^7< zYWv_T3jH41d8fp(3m{q}c_jBTW6)XtTk!MfW+Q3p0&ZT4qY#Z)wNjN4z^>!Q7xq0$ zR6{|n{o^KbAs`FG##^?IR#s2}i~Jd}G(PKXS2dN-xFV8}{UlIiBNX%NfjBEX`dlRC z&q>Q}Zn~hUB2|&c0vhD890Fe4?T~{cp0Sl@LSwiAg-r6)nYXomKQbr^><}xZ)g$_i zLII>-L5-YPQeWDp zW1r;rk(oi%BmwgsvYz4@kf`%MM9?}j#@Y0e0$ykq^xCTRJ+tM^LQD2kFpM+_m5Yy@FHxC1py~)B9ETp{r-7M+*L#rLT z8252C?^K-m&d-z(d5DsJgU&81dtb8EV2$&=uwoI2-XbS~+^WWN2Z6Di0&|)2@gAsr zlzBoUa3viCha2S_AFnkuLQTR>G^E5#4Wx61M(y~W!w&Js6w4Lfdu$IlUX3prmY%&U z1<6@=oCJ{(Wq)!Xk0FNc_a0&{Gk#gV^drp!-(d50y&1Tju98ptdY35$^vT#aqDxsoy*1+nT% z9sW5vaXc?GbbKy_kC!qoV<|l92$)CJ&4eolX6IE4`^FbJ&?*&Lj#jfxog_iIqM(lh z`ti08_lwnxNgfBA&8@hhdsZ3C7_KCaF_72o2@9iU<*X={&Pn^PWUnCO3@cf>Kxm~# zJKg364zinj;Q^(n>HAESr#borF2^r~tO;an%seW6&znIxyMCOjlc@M`oA)?S7ky4C zHoq^_F}WjTkHCRariMdig0guPmPy7wlNN(K#gIGxj=nq>tiPwC`FC63^}oDR0_s|z-X{f6K8CJAl9#*JvxI z3W)Qz0XBl{ck?Y|^9Jvmqx^AoyZ2Jh?G~0j3soCT{h=5O`_BuN>1n6HB8gO`QxBq1 zCUmHb^7xXayOSjqN;J`}P5Z!d9Ke6Vs@I_hf4{`hosvSDzAXaFjY8WhhbP8`L?y0N zugxH;FVHx9%&Oaz!DGNP5l@v;l9D1){2(j52}8tfpBIY16-8J^j*?W3$GFJwv1Is{ zC$&k@SWrIQylFf&cptx_)GFJ1LI>5#K}!LXo%YN=M^+aNRLpk`Jl@185|H9hjTKUYffo``P4=cSQY&`m-v8F_lJ101;O z$GOoG8iy{%7}S#mGCSydyuKQ;$*jmnc6u?rrX3t8J2Td?RR}`DVFG#9bfWAz1ey9u zM-$RE9xteRX^DA3b;)D>9l$A_2QkGW-lw^HZS{FN9qr04)%aCfwB5|~*u`6Ke`hWF zu-dO9&7&!fjWH?mdXdkhbrEg&*;DQ(S~FX`NQJ}m{W%a$MU^|6E2U;?i1c|J{6Gkm zA4SGDppV`D!rOkINUKu(Lyw>1cmo?>MKY7iF#~WnXbYA3*KY%%-G)z~DmKg?CY943nXUx)wxOp&xr)V~E++ihe3xD&!izf%;yt zb*d6+tt7s^Y{ubmSQ?4EFtybV{?edRqSCT;!J`^}+}vbueV$b=`_?NHY-(JL@mY>w zfFdmbdr|Z?y@!saGbQI~@aE8Lx({BXEz(P*nJ+q?j!4j}fCjdQoc+AN`u3!q>|jxB z`6Vkr6sp~J01&_nJ~LzS#5lrVnBF&?c_=rs4ZTYY<^-a!lfvZ?=n{|%QFCoQkIzL` zXTJJ*KY}u>_AFAgxW45#w)yEq2K_sO{6+wkGH;ZNNYKU_3A?gr>AOdzvh}k>V}`+S z(fdht(qJVs(tBB2oOQ>(R%12MGN_m-EbsJZv~tPt{0Q+{6lm#9jLI6Txkths$93+* zGMQhFO2fKz4;Umfx@}W*dU@g|n5wScp9=oQ@`Qzkz$aRt^;-rt2xT^3(~w?MSgou3 zwe#ltSz#}l6f`kZuD3CL*LiS%8FfMLNzd!Fjx4pd==GZIQk_lyaxkKBVq0UmZYovK z6YhHr*=Q1>6Hg2U_%*d(sUlL)De@^1NP7a7-*RFc!-|4>){S+u>DS@!0BKkGJ z9FUi3ROPtzjjESD+9oyy_Y$Xe=OXuA-YtMrAA7&Wq;lxLrqM*TMPkb=f8y)N5PGg9 zaYI9}HC;XbmCPbLh+?**$U4QPN^GAS%x+1zT;(gB?I(MX$9Is%-OI;Ffa3{*jKSFO(*edgnST2jL?g0*(}~ znD`mM2g(6f_w7rs)6>GZu7+*}&ci(^mxNAZ*wnxVt!5W^t;A89>;2y;nodQDPtY@~ zkMG{87+5u}N1_mIz*eOiSsc`S7Di?jN41+N$^FTO5XBtjkuDul-cEr$zf@oJ3kaOr zWwv2{d;p!p%0dBQpttUYAJ;0C%dYCq;n6egUTMSuEo5~3U>6a}66_upLLIE{YA16e zI@_w`5`k?f|a%m$y}m(`&ff<8s#SM2p#?B--r12`IZbc|uMXBeCrH z5rdtaT`e`B;s#eyqHkBuudDpV{gkj_N_`thYU7Ee9x9ijB0o8e$|&|WmXv)I zBoE5Psl&>2$k1Fw@ZkW&+K_$#j=$w6x6Sfz+HxB%RWM^IzFyl+_*5h(R_I}+S;%F_ zM*GGFE3d=)#qaMsV%qf@AN5hO;&!T#sYl_)0s~;%Qlf|!Y$k=u{EdtVQJ%{^QUjI@ z@s^}MMbZ!4o$3}!O0-lV*TBmqvE=&}N19`~kGwrDc7IAr$ZWr#sZeGNo?@}vpd`H! zu2I^XG!%6^UoL&(@8=*lK2l^?s6=x^yoFR7*Kn@YGk6GyJrY;SAA3KR6O|N0s3 zgE*eJCZc}4Fz1w%V|u;al!)bUOm0fRb*Oc_e8PV^o*QSwe}EHWays+I2;@T| zJBqYk1btvz-P9^bZwyNWnl~8liCzVR;a`J;rOgJf%w`(p5gSJbI1+mHF-u=_)}LBv z94%`cYXT|%c6jcD&IoQt$2#RMTlr1*J+`HKV%C|3YCyW+YMHL?5 zDk_E6+(Jx=EZPIJx_vZgNIqIP9Hzrm^6#0!qw>jB4kcA=Z4RuS-V12jU0f)mxPw8p_dxvA>d!NjS;J=! z9HCtdf=}S`e5zsljW%j>vxss_V4@Bh;4as+t`Uz_PziSr+{>E^vR~_{3|pg@R=?{^(wd9cBR5$6WPK61fAbE{*+gkGiUAfIiCC^cDG}skj^M}txZS#og4)`?5N?*T*}5EaFOX} zWh}e?j?U^h&(uAS@Og#Qb7!algZZz!cIoZi$Au^g+*~$AA8xYwaY4}O?>Ij*57Zi9 z4siDpp+3RscR9(zl5m=LzC;7^%D9DMk7B)cN?SjK{Q4v1eubWhmZi`jF*L;E(?>6^_ zIOo+??#|WWe7Rp^C{Gpk)Ie#xr{F%Qvdir>O|24_&_OP+LE1|>+InN2QPU?V?R&Dw zJvg-4exp(;0jN?@RW0H$6Ei*gE2+|EIt_7q=K_k2a)@j*CBGp_aJDkkKJ0$`C1c5xAX0=gNtq|UDaIObg zE}oo5Cn0@!dN7K~P0FIASAWs5M1#OK!d z8X+&kh!S;jaLEa6T-4{2%VoFn*frC|7JJz=*R|1E7?0t~044;hl8Zm@e8fsXqrSLb z^k>GpmpS9LAg$;{{V-O3-c_2GU#^hMl9`2?GeqEwZc-baiiXz+Az%Rt3g%YbiDAMe z0$?##&27JK`QxA&;f-yPjza}$IrPKT8H1@TD;CPk>Lp%(B)+i21W^A1hP@2_Mha2a z5ENwq-roM4F$IcDXVb3Vu?-VPz?4}^c!t-s;8L|D84mc_s9A|*IFb9(9L<+v zpQjmPj_J0jrB7?n84C0wjMKZ-A?u|yhhEfA3MXNlE>k^J)%#Cm2^um#K1<&JSmG>R z;aP*LPIm1U|H%R{X!M2N*ksYf!dzLB9%ScnCzwRM4vTPPBhY7@O-H$Z zPNX>s+CgA%?%q%oQC4-(;45ZKiM)YI%S3qVkBuWvM{d`V1h^;L(+z)Ca?zbb zQBp1P^Oa_40k@MpZNCK>+jvY;0jlGLDxmn8S7%9vm;Rm^|6azS!+No_7!BJpPl_iX zG`38u5QQ8ldpv}MF2aK_(KDa(#L29XHe)pkEFFErN9^r>cj#NO{{x0g(Wp+F3r-v; zt*Iy{hNLu4Ak0?9C)(?8M;;hjV}}eFtX;Aa&aUB{3#B}h%(aV38%z)D|CFuDUQV+K zCLqtITCV0lmoxCHw<5g10JkA1HHanX2)7+r0PQ*DJOW+qW0}&VU`aYJ2c*p}bE@H1 zyT#G_CF8neJH1_%>+tF-p<0Dh=E$+v3as)Jz`tu%HP<*3MsdG_Vk;d&+wI#U_QIi{ zV5VgyKx)U>0jQl`r&5icrm?p+TGc-`x{w!?c>&8B!9V?+RfgSF3%x_yXUTt=bVZK;T`xp-;B=*VPA)4L%caJM zfDbY>FcAxs9F0bQTq$sdG=aGN&p7XWz9>}CjMhjL>5Hn=z48bP+Q)RbFB;h4Rtf#+ z34W{8yR6bFp>+jrxKgCHb3wTHFet8;ilw?=XZnJFc@`A5W84j!;h-C^_`U#zL;MEW zxbj7@Ov&MHO!GUX4XhG17|k@R?bp*U2%|u&!0zytc<&RP%$gT^gPhmiO=(V^toO#n zYU{P7=))MN|Lux1lO<_1Svp@YW<_|6h(LnvxRX8>t|?|*dX;z&`6kv^BtAG|m^(7j zpj~DE*LuBfxACm+esG#cYtARwe?9IggR!7Lz`<`Rx~sbV=cO3XkbwVwCmbgX3lhp+ z`}yA4e}B&Z9t6st^{{Y5c-It{{`VyReGqF53HbIY=UwUT|IZct=O7sp_E!)XYu$y{ z?0--4@A80yqHL6a^lH@gY=8E@C;6{y#|R{o05%aIkJ+`vkN;l!KbQCKoxPC(s6j!G qXYH+m|MfZl_h8Wf4_|Ea4Qk>P?%QUPu_hGoCo8EWQ6**+^nU=mBOEjU literal 0 HcmV?d00001 diff --git a/docs/notebooks/plot2.png b/docs/notebooks/plot2.png new file mode 100644 index 0000000000000000000000000000000000000000..bbcb9334dff1e94fb6b858631039b94d4d30a453 GIT binary patch literal 41124 zcmeFZbyr+Vw>_K$2sBQk0fM^*w*bN2-8Hxd3lOYvcL@%G5Zv7zf@^Ts;O_9-ob#OL z=G-svzJJ^?_893=>CsfJs2WDkhwkENTV3K>V5du!O!! zJya-EC<`Nzq&rP9haTBq-`d_KP+tJdN``v1|7dFSC}UqY;I_n-7bs}5HSEy>+K>Hu z)AO^lQwRwQO!V?!PahF<5tYCjvhgo6{~9NH8T^7g2;B!--20D*NC+(x`r{9~vyT#g z4tqmW38X@ieR%cf^Csj4IhBxq3ZvA&hRHsF*6{!LB;$ep1yySBJ5GXdF;p>MI6Av~WoIX-(dBUEWL=DK z@$w?%Esv8xcyjeS^EJ+e23Ms$&ka_`PoFxPU_$LTe|{WHx~xq7&Yhn^>q4;c^D9EF z&Eh?oGxr-r9^yX^$vdf6Cd2~1fyiR5N3XwNtn4b~=^v(kJu0>|GV%@AdS!Rk({vFZr|Z@$0=_TaKQVt=%!d~_d&0o$@0QX=^SBVG zYiQ)ws^lwkx~_44mrnOa*dFQstwb2_esLJ+hJ?G87u{*UJ1*k!9^&z*tL=DuYlzFA zVbPCytwgEma>%7OjUOE?HJ|;=kh^mQJ6oZAX2dN|wm;~3`yK&Fq@KCEx`Rp#;^(N- z^a*NscvxIox~tk!4UOOu@#gf7SS%tHRd2cWO3!ikJie&h7#d_TR>5X6oKD#q=D z#xpjiK&4#=_i4Ky!C%maB~LC(C6uCKX7}4^vQvtDy`;*QCmq}SYS&mkf_Amygj4Nw=2WO^#!Q5O*(XDD|mwvg0l*jIwmXwqvwc1g4 zbaswCH7->MTI_Y_5yCtI3voy+o%VE%KBCg%bXlvsmzg>vbq=qc$1 z{5BzvD;63WnwffO!uhr#=BG)y^)i#8BXFTb#;>R~k|meNh1n!t%K&A$Ae+i9dIL+# z(4-_BvU{)eBHij&t@L^!9Kc@z+PXY~acs#Qm8R!_;u|_iZ1J$SYXV>v0&UG2G zM}ALP8s1-zX=~iBxFFH~Ppoe1MK7ZQeX_G_n?+E|jfWy;$jXviU01fhJ!^A#OJ?u$(<`HDju)hIQ*ET`Rr~QZM<`T<6yRw z0UiE^15KyFGn7(};G4n&Hyncd7avB=2jm_b>DmSt9Pzt*=|I;Zu z==WqjZI4V6-34P!WG)$HCyNrr?iGvI*8q)H>BJt---99&o?UnRUIYyNS^A$Sci1hy z=x(O1Pl!i-hv3Ab3K74~zCXF63B%zN{(W~_>>d-OoUhKHqnKkqm>if;JTETz>zmdu z7e340LtZM?qHD1MBma>2GMi2;YE=?v`xE;Z#NcJi9&!Q-Ve|RRMO&S(=(J&L9`M+G zq~V3Ot&cd&`+?_7A+FKM$u!LwREAEHsZyF1`y7+`T6%7JOo?4y+4n6LFrGR!!rWry zb0MXnPr_)541Sd|^Ne=CH$YY9Q*;kpxSodlhPol@75}pZFF-p1-XapC1M|bbr%M<- z`Y>quU{Nx>Q&Li@B+ES)aV27woG8TM1ZOKAXBxLN96JniSC7k;#sha3xGE&Q7=REX zoW|!OVL_QgymLvf-SXv)7&2j3N!omFd_-dC^=_-W02(-tdQHf=`4*}Cx)#MQ_OCYu>f;i2UfT1Y%-?TE`~$w7I7Io*t#DSb40Ti~Jl*2{V}?C9=7^60GR z;4a24*ff->sW7$mvkbUSR?j0C3ii^&u7{A9X~UslQM#`lU?mELinZ7uRvIf`{ZEjJ`uoH;*ip;Jq|dSOyOV!B=U8-G z$s1d@dtA^kC*L$0h6b4zC={~8V^G0m6t$R5=H!!MC!-vGA`|x$5{IaxjTe0|7bH`K zRV`MJI9V5M{j?N#_USFxI_tNo0is3AMN zcQ37Sk`9WdTC<9anwqb*$yN;?S-Pv6cOeun{4A);7bmH0rPJg@xe;$_&ixB+fN>&E za{gCUbmlLS5>H=I^(IHI64=+-x@o`1zwwa?jC6J?G#E#7EV*9s-zn6IqYY+o@bE4+ z1muce6M^~5{&h4XfTJlt+8j8p`t4UNc@V~c`{i3%InxI|5ZKhN3qD{5>#9bv*g|BX z)kSSua&+J!$kTGFz?b>sK$iR}$?kj~yX}Ja%ZEEjm2TJM8-&ChuY=9YL`FTq_18{I zGy=)iE=MT@^vP_3E7gVLl1V073D)sd6J%ef2O9 zH@fJ;<4*Digo%PvkAn_A!(VF>ZCRMr1(k{md2C#pn|Xqt_(0=DB|%dNdV^nU#cwNJ zB%-#8!ckw^_iR{yJncFe|C(bpTVd3`_Hi6O7L{K{qsopzIL#$KGMXs*gJ7(7mV4w9 z4wprhAyo`@-dLGe;hTR4HOK#sKDyyZf?Dywx zEYrlJOyZ@m!DLHP#_i~|PKJB)qXwiocNr8iIDy@vTV8PJt+Idc7NXea;54--p!mvX zP2^seOZ@S6nmio3+1h=4D04-vrrG?nMGU4HsemC~T2w(T=8$@q2C@B;xC7JvEKA;4 zh3on`MY12#Q7q9=O)GkDWR^|}79lUD@b@}mA+IRpOD}QxB}##06~c06l8p}-<#S|7 zA=cJnk@%wV1sSWgn*;B*@}ddxm(TS~q$Hq(1304bS9C;JCk8yVQAVahlrE2}aXhM!o`eCzW?1?8=BC=`FuKJh$_267pp#jfyz3 zv*bz@Lg;SzKbcR(^EN+VmLcRyB}Ug62GeUKXLC6ak7HUQKP-D4D@!6ABy#l9wsi&S zN55Fzbf7Yv+Q?{zC2t=Wg~+BgKO<*xt#aKF#9v-*`iMBJ&;}#vSysD-No?+XnpGCz z>%9?cp*8dqy%fX8jt@0=?rIR>-`h}u5fc5_UG@0H(#a&o!bL&S8Qdb0clel?Y3ZB- zlW1QrUfC|iFY&5f(jBD=AKiW^o$a__|2~jV8V4L|I;;mD2mO1r9cpJh z-#5-cMoD41+S!qH3d#TRzZ6pD|aDGhg#DsRMExGu4rQHcLtJS2iTY^53qAxa$GLA?nW}@&1 zxCqgzu9|w5JXvCP1}rwqsf49Fp+a$75cnaK3`vbaPq4;nR=!!3K6q^K&BQy)t#dUK zy_S2=8JCrybJNm1$m1yM!Kn;K*c%>!0*Z(-YKxh8-sVY9RwB^t*I5tl* zyJma2)xgv?a$PJ^QVUlkWZxwXH2!W>yy^O3&%B$zD_D>6k0^Bg`4twqz*_a*w550b z8Fq7wzl@dpUAB&t1P!YQ8DSFZ#{x$)J&Yk|R^s<~wb0^)Fv%ngYmUy&(R|XOLRW$W zth1}aKR4kwC7ToLX12&w?YnZ5O0k)02*r>)BMx5f>VZwYlG&bYc~Y+B={E$dg3&d8 zbNj z>>(PK3U-`O~z2wFRg^cs!hIgOtMds|wf93?YqUKS^q)33t##KT|7%VY8 zT2hm>@9UE&8y{z{dUS*a)QS=ql&8*V!Mf7vth$oE55%Bx@zlOUwMLWb$nH+JKYg7U zlvE7uvBTTVg&nY)5fL+Wz3{gGJNH=zu)1>m9>g5RL+;2E0{g`wp-{o7a=zx8>VDjh=735 zxyU0xxVY%k*-Nf)IN#V<71J&FM<~xEe1%0TaNFLkTTPtF70YISuTH1Y^dW_Tt|gp8 z!&ki+JkPH2r;>Co<_*r_ui1a|VK}wk?s|sWJbrVN4BGFE=A}JjlzQ{+!LM8#mRqs4 zKdJsG=}XBdg4GI3@x+c0_b6dicKajnz&r@?E#E6$-6b3jlSx|B#J)fGFl|2549$`7D%UZqR%f3Hfv128fLK0b2zzo+?s#(&*kfJs_Ly*i!WGJ7CFE*;c>YqJ0nvyKPw^>b}bh1GJWj`8S9Kl zKdO~+5DG?2;*}^6I+*R?y7*Pu3g-+v6;N^h=m5jZ`VVK zZP^&D1Ael6pl_td!%6?3Xox}5S^8$<2vMZ~_tL`s1$<{KRR&echXNI5MU4K}U-2qn zP1}*E1YRREkoUE<@t@eoWy(RDwGScD2yiv6jMZWm>EP2R{rK3VY2k=ZvSlr5A^u}Y zPyF6}ZBq-4uij$kLE}qX9(oX5W5kM<7UHSEFYYNUSEJB&g@e;wC{q+SO1t?-62mw& z;BUEky`FP{lc%<&$SX0#R#{qMc%+1;2g`D~=By@-}Mm7g-Q9&Pf%l z0t69pA%@IsQ`F_Yeu_SAC2m#jomVcUAOUTb{Ev6;gGv~EMs*%1w{Ya-;(SxviAr|v zD)^Zdkm3}~5YM9^vAY;lXPP(2eDK#!pS;J1?l*(LWL`F$^K%9k-6nm9`#!Bgub7^G z5?|N5X6ZaKbKcQGH$qDLk0!e`x^y!0j zDuGj1-6T|~z#@3#e2dT^%X~PVG(;6}RBkdoNl8vyaT(I5S`7E8p+jg@Fj3+q;rtMP!x;i&?&t8g22$+l?=U`s>!_{zxkhHH~m$Bns zEg0%{QlQ_E3l;56;A7`6lIwPdo3|BEJ9nV_DdX(ZK|yahS3kzow{Pp48h(Iw#fj;I zuqN-^baSMX2i>27cR9_@xopDeMxYt$8)+lOj4_%CyQUPYV6=yiNUH;@;&HlmR$RI1 zWMx=QEpQ4|;ePhQ&tJ@_Q_obsQqur~F$QUR8a|cF3q=IsX6?3^G6wFedlqzmViG;CSF2-V02B2{^pL;wa2~af9zrZN)W{S&P6IZa|egE>LB*5 zR>FJl<}_T`2p+@JSB&@fo#=5iF+mfF`{nxal%6S%egCu2)%?2mY%-7{4AmfysE|UI zb$P2YQhbjhw5xZRKB2&7|9AzDARZ>qFJ>TJIEml=OD;iI&nlc}(E^SlbupaZCM`P0 z%)K+6s>vCm{hmT415Czr8mN_NeMM)+V{F{kTBO*rQs?(i7+ zz5HM@szrvZV9HL0VZykp-zw3viNPE#{HSqCz-OgUO9Yln26JlKzNYb3p>Wsnhq8ro zNt9endOLqf?=HZv%e8f-ai)L+jzTN!%;_K(CSUACj`;Mz!&>#E=;mI|W-}0qne?>y z$ttZ?D<=D+nx}xyUJdhZlCBf5RKvfQ8k0#mQp9AfK(XLu9QyO)`dI6pgEnGSX9?8s z4@Gu@DVnZikMHP!W7tLo?e*8)ST@Ds2<#g8XG7tioZB&{6Uacs6!45~&0uqB(MkJ= zEkS@9X zfe1B?M>)EtBVU;&mD?Tr@#E>r@S^Ds?~cn~$FKz0$e`jh`kLOyh$EWtuJDOkrpwZ- z9}AO&jh>64Ul*~BW(qv1R4Q>=`lfYsdnwdYz{aVW@({#9Bs?pMe|iBHW61j2cEU~p zH*}tv%C{gBE6j4_@S1hSewhx6;pgbG7>x@V$|<%bL0`zW6pI?_f2+5_=-YazD<~i5 zN~wq@44m0*kxJ3rcbP6a)J%{W@UQY-=JP!Tg!ucjRn<`?>C|#46oQth|3& z@UW|c+YAdVj<~G4I-oR?=MXl~@|Vw>s%&5?G3rRT4cU=Z7c$0>JBM)-2<_adx0K7+pI+Ra&4XAg$W7VeH@YNdvsD|xTP5H_Xqn1>p$8;X{qZjwBBdROUZ^sM~G6BZ*m4Xy?IBP&s-r|77YKA}RY}-Ya2Ux5_n75OCfU?BqEoODuoA z7P^_ot8Pa$8tqZoE1?cFY}2KyA@ikZaL(dFnM;KjdutI~gPmL>@?a(=ka+~Mp&v5b zw+40X936%2jy;-1I~2)wwsgpEA2xiw^^Sz{q3168BiO^UM;i>{x@>oGUGO}#S{EfYsZMVPFUF|#tGEWiXsfC)T5P()bx z6vW?;O-!_KJ*{0j+re zS)}!5Ia|1zBtDY%hs#qTDf}3`xSf=*1RVvd|@*@7nlH-kWddsZ0ld;pknMfh3C(DwvfX zVb>p9bBc}`2iXf<`yD^adsubW`starMe+t`?V4=xANC5e>)P1e+Z?Es^{7 zyF57}jRv~Nv`pNu^5CiGkR8McTjesZzrW-TckdM5Lqj$J)HZLQLvViFT-Fqy9B ze$k*J&Aw+^hS9pL+GIX1txjBW)C*~i9e>IZt1`23qhijllB7VOiu6-|D0ixX=&8X% z4~Gg}23#J~rBeu?T#=ESn=wm9Iw$-S9D-0Yq*hVJJVzu`ZCMawM;?4Ho)R+&L<%x( z%SRNxJdgo1mj@t8lYUU#47#V4PqNH+DI|Z4gIR7IFKhn5da28H#te>x!9zdX@Vx%L z8E8u-$OcSqrkCd+FB3>chlhli{UGdQ_?q9|a~U(tiWT&6FRts_dv%w(YV*QI6F9s* z!D0c4nY2E&XjqqsQ~ZTwA}ibGt(i_K&V7kIS`EUDM)NHuL=>Rl$d@AiPo@Q;0Bu#jO;eYz|O4kO+8RqGz2_XX$hFP-Z zka!u*0M1{pri0uw1+B^?xf#h05uc+@3}HL6=jOWtD-UXs8qA_&P6lwwq4tN}!C3_! zcjDA9ZYXJ2DK0d|fFWF?xnfz^OMZv<9GH+&P@tvFs|h5Q7OZS*G?txZ44948u{O9o z;v;FMTsM4>hl6@Q+Ggbx_r*R0~`+P)fobVu97i|a|E7Xo~^ ztm0A%nz;!YiGUmbp#{$y=oisHNai0cbm6y}Z-DWA{Uwn>fHHzm=<{csPaA_UU}I6fcsbt>~Q(=gDu|k#`yJVQH#4}B``=i9V-$IY)jT{ zu|4I$t?@=O!gu6`%Vo*$c-ge|zO`viX`ky>$WR(3^7u8PfYT}YOF&gjP5t31xSs|S z`F%sMKyM9^M7%|m{mve-AcO?l3Wi|sDch`C6GpCdyf3-3p+&cs=)p#N3SoHoQjvRq zO{8LdbshV7=yya=ALnN`PKj+F(THWksPdgN;0Fkn7D4{k)LH4FBoaPN(IP83>_;QG zULr+Z>zR2owOer95jLdO{!%h3tAoqf@+CGB3-uUbM}=XNEHV!+UK6{o*6=r%i<4q7 zN}t*_j?n>I$Dc7qvhA_2-kjMP_s3ugDz+TVf!wd|V;P>Sif9?AD7nR8K)FBO*P!}6 zmH+Z&JAD@6XEMPWA^j6X?s)q>kH&#?bA>u)MYTd_4>RBL_jN4rr0WmfZ1BQ40c69E zQ~7ZT$(4Vg=*slX+RI=@W$|#OPNtN{r*@96yQasmSSeq7_efm!8p&pUz9nkR2pvl; zKj>z}fvIT%i2@9=obNknSy==`WK^Cv1T($Ay_WL6lXWh!<26;PFir05ZgM@Nvz!dg zj>RD~4&U_b5s8edR8qdYgYzgLcZ7?Gi|as9+PzU(xezsQxR^A$zq83Jn|3L1 ze$`m+9t5r}og;hRsEk#%kl%w-h$I?;G4(m!!n9w;$iOWc zO7A@EO^h!j1?0=)YXz&rA-*m zf`Le&i&4p0x1wKp6rGd|NuJ*#d4Dp+(3=ffm4*9oB`aE4NNWOFCxlKW*2e zsIc9XDnY`~vk~b9UfmotqM*LT^#2~dC#AJEZ8HNA^oRdumi1+qR)BH9PEs*mzieZByhjj#x#P-jXoq`^T^JQ2GMa{K4#TnHv&Nc6{ZjH40PjVA2E7 zQ4GhNFIfyxJ8!4&S*|7!^7&?INg6DJ+O*Hf|Un>E+ zbBx%!vL-4MJ9-*tmIKkUww^@46oFAHo=J*sHJ#|B!9r#33o3YH#|UY8Zf!6OlVD%A zZT&%lYI0GbL8xy50oZ70Ht?k92>iY3I;}7TdFIKmNRXtgl*c@Uo_W}rtzU;FW#8UR zm&J3c%rQQ}PdYnGyv`mleD8@%z4)eTE%KXs^I_fOm^Yu(Xq~Raq(yRq;C$-y51%vN zxEUV!cEcfoIwxh%>`vOI)VKkZzurG*3+_7x=LnFfy6ztwpy7YfD?RH{Boo(8n9CMJ zj-yTYPC&{=MK5g2x%qnH6be^m2@YpT+<#{g!127c6gmNj;@Tu92hCQqt##roJh|5j zuK@G+*BF24Qt=v;qNC#S;nof-hL({s7cKEIBja;CB^v`hyCj6OL5 ziA*qCUftm7l6a=_3AaaXK7v;Z*5K!08bGn+fB%pTC&6L*fp!Fn3B;VvuQ?8-{&*RT zX5n;==wagGADYJkVOZ$wVl*Y$=phY$O)kEbqkq8xbo3&=r=}BuK-VDr+CN@*JUY*T z^FO21|9LDwGoNq&l!bKonpUA%G4(Gxuz*Y%nWqUO44eD$7JfD!?oK*{;}BYr>gBe! zHYi4DdYo*>UK<0x-n2cVnx}JYtCi;)mM(ADY$D3f|13d>+2pg5@>3BigDyxQJ@u>o zq2jymBa7kiAI}W?t}f6X-@ks_qC?Yagl^d$Pjmn^?xv6Kh&zvE7@8^`$$L}CWyYUP zUfXFN8AsnufQf>Ff*}6hoUgo!3&z~yl=@s&nAL*FuN_Mk|$wjnmmmZkpVpT=(lg+a{696@h*Bf!R@ z?aV9kfH>IcTvjVmPBI(K;bKBYMzMZ7L|JFQ7kv3PSzSsp%I1}!rD^C9wxiI{rOF8j zEBNiFi*cD=(S845v@oa)u(AGO0-3;e$&AtXy>w87tAk~%-l1?9AwE0`$5{d~fU#_& zHaIbdBO`pYUgBX~Pp^iDE(=#cC%&KVQ&f4v4*Q8$e-EtsX3#T#0bENWRDS#$E#E$0 zdUnP5Zn=9*K>}0<^h>t3)?-OV)r-nLt$&B!%_y(u^8pBXAD~wbE&_f*CTezTjXYU| zA6gUsZDlX*m8B&c7>rrxp%=_Gz)Suznf)~Xzua;Hos??wxWFv*eKEf7?#e2E@Ml1? z%=I)jgyu4)-<2LsV&N&jbe?M_pwvW$G@iC{fm34qD)6cYny3Tw`1TYb8)HMM{crHp zE_yn98IM(JbLCrW1oUzSTfoV=SnH15YQk{~|E;fWAZJRDs>GP*9xf?j56Sj;;5&SjUmx zBVx4wRcA*b2j1c%qc|wWN9Dg7bf4KrO_gTmM*Z~y-I#mrmfIH(0gpF7U-X8X1)Of4 zW_u2N{my1bFDe9zft86Rao0?|xi;PO;lO3&=0Hm4J2cyykolKB0&E8rtF%uk>_*!- zHA*y#mL_{y;y_Ot!%WoxrsWnN>pO!*z6dZ`WS%HQGSWfto)oi$F+}Y9C-%PiVFFcn z+V^}>exvIW($VxNg(5k9j|&|9SZa5#a@nN?1TE&4--u};w&mwtF|Ev)ATsKRHP8mp z3J~&h(MdqQkKEw--cEIvE7dX??r%B5h5t^7V(wD0HD03iTl1#^zE&$TR6tLofBwDQ z%`x<%BLQH4Irz|yw9tKnY=$S zWV~&sF{rGkg5=~^w%(H4ELI9F%dVO!-aWYV;NZ0G_bNa(h}|_HR%sYPaMC?Pn(=oHL9K@C*4J~lf-;7{& zv^)ieZI$uHTN-c&aorF2I{0Oq-S7*ow=Y6rO9jIj3o}jbM)W_z;A?x~Z~l(=>(KN` z_}T#E+h=O}&+f!PzrjgUAP@txkj~)I1{Ir?PVrJ7B4sJ%M5zpDoI#WXO;9DH=`#kN z|Cs@C%!}X{K!|hIes90g|Mq~JJz7;djEE66nMJ^mTwFYg3J`=>8q=$z`X}BrJ~fA_ zSVoevO*OHEhg<=&R|;OXb4t6+*ui$`_!F-Nrya~`LZ3hPTmC@J+@74vN_(?)`~M0A z|0v!6p|&ay>torTbNt$jiQzmt(flqXl9)_KQ$&Ahp+7P)W@fb7nNq6ndrW{L!$0x) zR6jK1_x4~ksGWG#);J*cSL`kTmCUh80ht}6P!q0pWLadUvr5XL*t#e>IVM5B8$hRh zoC-OAM;3X|gApi`uS8q`(78;MA54?_7A3|`#(7_Px>bTXbsB1RU@FDFVVaoSY!IXZgI~F88aJqTyvvnE+=UX>I7KX#v z<#G_9PkOk$YdKQE!yMQY`SgjV=CH|IW`5YyEstUp3Mfkv&G5{Urs%0c>(u4xz?zJP z01=$%uLwR)_QU;dTm3YTk^w?Q^j9}fwok^r7?1p?x^x>pCsx~<>O!d18 z+o1wY$zYJsti*6xjTFy~y@!1=ktvOlZ(mA&5R&XiXU?w%m45D!(|VJhhydO(gCogQ zk4ux^_aaks?aMsam7V=bcnNkCKcxFplh|A6yPWHQEX(99%%WVXi8|7ey}ECO0_(1I zU;YT4P{c{*8)mMW3&=17*qzDW_Hr)Ao$LJSgwGjxFdnwNLcvoZL~9xt0h9Q?QFvP( z?G>4T0Kw1UI0gadAcQdAma&57%7~!nuegjhMNtssbHnm1*-D5!vss1*3lUG9sVGuzKLl9-A75Fl9jq! zO)miXX*}%1Z|NfVEiDuk1M@W=Eet~~9x=I?S*t0z@K#+rxn)*gL$IbIbGQj`cI{DV zc^f%U+K%>Q^>=>?&0xR7S1;seJ^<% zjhaG)HuL6*a`>nb5*<#FWtA3#L-{A?LCrFZJ$@_NIiA7eaf)mpWy|A zHA(dBL=y@F00O*x{r08X)|>mwoS_xhi5@g9;#i8}RRJu+nTwS`BmhrKn`+IAK~s&} z=nJK=#6zhacWGB$-8*q@_L+-wT|yhf0(NjBCdQlMVSl%aSD#oS>v^!N5F z$4-Mf6)3V1l61*aXooftX5%&yf8mDOPC(Ms``VP`V!@0{)#@jiE7;xhk;!x34zZNu zrRh_1&?%Cn(O^OrU>&=-TrCHbui zZ333k?GL>1MQ5}$%hHe;(KDIupNzLZ`1fGhH ziU~V}{k0}weg@bA z04$1XB~e|oA644da)5p-Rx2?8pIFfGwUsebdoiZYff{F7?ag1`1;F?^wBKL(i9`Uv zRElJPisdX>{o~F6sJcJCX8H!C+CeJy*Z4H#;_fplv^QB6-S>T4>popM7z-$%-sEsf zG%SK|9(fd#G0#<78MoY_?e|R=&-LADAoQks zKUaEy>drHg$+hIQyH6#JiJkBqXAB8-fXAH*66jTpE@M9{Gz1#M9$p6nS^f+mzwa)$ z*@lN*&^C^U^aF>lm?C75NL&<`gj}5GxJDB1dSf7Dr44q@N&j{6bFnu@fxNH3AC#W{ z_4xXPG$$vgZFm^@p!Ii95H@4k$1~A&)Uh)qpcvfc?2o)`8VHm~Wh}+oIV@?4Florh zG}bS5w5%33L*`VB##(_w*_Zve3cr23etVh)b^OTp#Rsc#>oQO#&UKM#NTt)2ek=lq zlCV~`Gw3Q$ZY%?deTZtbS})J}nsj+SP)q{1rTB5kL$}*z2$S2pX9;Q{>1&NyUfCkC z%x229Krct2!NSPPaV#naM&QtpP*t=|9ciL-!QYZl6N4gc_}lf)oVDUG6d+Y8co}m) ze}Jn@7Aceqv|)ffSzqmht#jjr6ATlct+hpIaNIx6KQjGv04(j0w@e_Cu)<)kLSMp9 zm$7%4TmLp@aHi>c=8ghwokQHfoa=bg?_;4e$VzC zFe?7mVe}-Ti(Ok=x(ilQI^uJ9Ai`_V4h(=Zj?JHn5$?)nh9(Nh|M;M~8>1|TLfO?t z*3sXOe21dfJ3~Fc;bLV76yQ&x#=R6=Sbyun=2Pbfg+>I120FM=Qr2X2|M;%--y(g8 z0{PBqwH6$5OQh(9<+r~(-C5af)L|KIZI$y+-<)m^o8Z&9eE|+-q}|0R8?gUB(0;|* zdr6UiJD-V%?>^Fj{$7s0Gv|SwCQxVv+SO(3$4jPQ1lNt^t@r5YslSS{0L+Oq$QTYF z8G?<&p~qyb@RC}V`wKIKa)P8MDzzWYv|FLwytL4fv{J5`P@hXSTcQ+taz!3xI6R35 z-GhgrIX$#CgYC_Q#6iJ9BF)2WWzIjb?zz|GT>mLe8!CeuJg#1{+s=7s`NDpvq>1B~ zbADD%du7u_0vYF5`V7um$!|ADHAA4yYdWc|r_6LYa5b7^4e~Jh(TeQ$N&xAu>e{o$ z@4&9K)%p6yc;Sf_ZS67B%4uJJ-OQgd&{d;gVb?%{R-lrR@bmUwt9V%F-2C>&8dLr) zuzjmPb~3Qh#j1sizfa@_a8E zmgK8_X05CZlqYNRQEFi*=bkROQ~g$3fY7H)H$Io%zFbh~c70n% zy0PkT-*5}pP*wVh)*rLwutoasxI)HAR3Ez4Ha^g*-+|3yZ}-4NEwqpf8;XXD9{^OL zKMXvEj~cm&O;(yy{<#bmlVO29_JbVv7hN0aoSt+Ebh_Re4p^BY1FA8o{sDY!f2|>g zZ0Dn}Idw(x%6^Vvh!y>IM6P7i>p&Wf@NMi^1M5<6F{ZOtZNSlOvqR}^>vfn{Z5->G z0!&m>0N>Z=N3;sMtq#rQz~}Nrczsb!n}#4MF5T0$%kx<-O1kK8Z3l+3x^OVzyUN3_ zLYC-CJ7-}(QNi6zzi**XJ+%)of$Rjm07P0JK%*ZUEdFMWq!~H}^z?Xt_oWbxCnDyX z@cJ5lib=BuTmZni>6G7%N5J{A zQR+i3df^|wl@oZ+H<$&GX8dg9YbHfVm62}or0+q82ytPl0FQwcvjW4o;B4yhG-pn5#75JX=FrQ#Oi-~SwTqidOs7 z^h+Pc^p(P9+OhT#!s4^|j^aL3oG(@gid~NqEI`;g@Z~7-f{LS#M{vM8Xdgqbtv>1# z)>4E>v%aHvNB7)VqOS~6q={FrcSE94EkFeB;7%2)KHq?|dt759%Om>++)jR-OET_& z&7g?EQ36ZC&8^8eQiB0%K(`9jCG|M@HLlM&leg)P%QU5RTP>Qap4w~}i6`KEZGB7H zY{#mc2Y6`Cx{#9n%{FJ;Z9hn|wrX+)=q8H7$cH${T6Xa&2*l@XeFZQEJqb_h=S|Wf z*ftgO$cd~gg~17Ipxp6!mWPyv>m@_Y|KZsYa zSR;B|uv5GnmM#N&%5>$m-=~#ttRbc@c@VTZN(~@ieR^}MMX1f~hy*k{=>1n}z)^wR zqTq+UgbG}d9kt%*`-))s>z-I*6ophQ%e1uRhhlkZ9H+o?u4eV`q*gO(ZJmkBVVeg_ zgqFQ|^v6wF{q-%iBZ{D)pbr_ki&ev#ra+6rK>|>pzF9e%x|--@F*d})piT0YEha6u zY(<|wvI8($QWHQMsD8`BmoSD2-IzZe2(`9wBFl1N^o@chHPu4t_ML%aohe7PK8^1wQ><37iFGx7`3>5ftN$e&2&}crpyTT8$!oEi z;i1N49WsfDneUY@?ZMi{R2#<`bAJk zNTF2LNxKds=wQB90-V#2{HxZ*1=?!9K#lo7ca9_zs~J-H)o^_q8(|NZK$3|>Oy36* z8HrsE7l3;i+=fO*IXOsk7ywR8Qm3u@{T2P8G2oj(IF4UyS&!O-2h;KVHqfF$M=l=P z4}j@7jI0j-lX5EVHZ#X59tk5U5T zw9dGrM6`JnK#=%f9Pzr}dz7`vs$pnwC`d_u9}5HLc;K^wS>47}uM_)ysf{$B+h5M# z+`}p=4Y{Y}Jku%;4&Z91s@rd;d>^jnL=ycm{@pazJte|sQx^k(UHpZ0MdLFw-BHR9 zO6hS%TaUEJfBff8kuDSk^bfN!L#iZx?3fr`-jz}fki}vJwQPo@R>ITWGSu<$`KViA zI?!IIe=_gJQG{d{2w=TzBdZ)euZ#=0OJ@sUS(VdZGV!L%3laMucu5~qkX9F;cszsj zlvN}GZ?s?UovU0Fknf%wmTo@H6PBI!P}3p24?uEiBnhkxjH9<1-t^tkD#FE3RUI#g z;=%^P$PO1b4U>&9OTNOh1RIwGNfD6CS$22hB-JBeTtGn<>rHR{`A;QYgj4{KUj=LP z^|An7c5T!_QFLuyJUPY@JNIp>jRKIga)FkRGC)@Xq>*ouqx~${D=RBOiromS3;u;b zmBb}47uA{)#UZBP3U+d-bw+F%qXIvGG1>VeAK{Z8<{ zUF0Ph@tP>SRa)_ik`m}wlR0%cX$j?X^>5>$L*O|ZuC?ylnVV*uYhZ9OcYd>_Rd3|{ zea7T=0UeG`C zo}3oH$k1jxf28x^Z5x^rXuwy&z&3Rc3av9*2kW_N?^IHKnYYbt3D7U|1d18*t#kre z#0EI6)|@o#455@RLTHXB1V1_GeDU&Zj6PH={OMQ9tpcQUx((WzKIP@*0_rm?R7Dtl z`wCbyi| zoucM=D(Z28$Cg?nTB%TlD)xx)G0BLw@GUJ~pm$WJt!NzycfZmRlz2#_fIlB{pB7u} zQbsrI7j7S=0fLo70lb-+?;qPIOoOYXygjyYO&A3r3TgZP@+7g0?925@o~H7AzXt2j zF$1bFXt#9ypvjBgzsQ4r7zv%+Ae*6STG>>ZZOVG^I%l*EtPH|-J0K^?SQb`3C#QOQ z?xo>49x86!oH$!_1ai}XKo6ICS@_lnC3g&uA#;pC8(3`Lz#)Ipzns`C=|xiCzVwTa zZz3%4U#i!?JhBd=y@Gc5I zMU#eKX{PL$BSk%S_>$a;MQ1-asY;)baSr1^Z(^i1PbwOR%^DkUrvpi(g1L@C~b zSPn2TYI}=RJWMF6Nh`m8f4$<4?gO>*53}fD|>v})-GpOZnU6--;n4yakxz496^{*+~e=Q>9zY+gA7o+ zXyE+_Voa98OVT1IS+Zqk*S1sJH~z*88j0SYVs-ve9U+P|O6*0&6EM|KTN38wBGmiQ zFepYOx$cmjTMpr~1#OPB(O^0w!^3{|mwq z83gi1bYhIxj3j~A4FGQ)cuXqL{AF)%-@fdQOr%w_uSh7^5P(FP`64|Nc-sb@ zRs&qCwA@`loEA{&v{|kc$xvvSX*lQGKbW9my<_LmoD3D+W{ld1&e|o;h~ulf4&l>SEe4=MHt#Cu2zX z`0Jqs?*AktAj$Yj$pi1Hh+?yxj&#$C_K{hp6-f4h1D&2;_H-j`Uo?=90NlzL-FB7* zmL@(}?9L>b(|wk}5=uKuk$SYmo(wtNQCKnrGeO$*UZI?QN)o8(V!s)Zl;5?NEvu;% zT!C}&J8o6_BR`oozg7vp;VE!L_Zy6PL_jC(JNJ5ifjYDvU0KtO0H|``zg1c+b z(73z12Z!Lnf7?Rx4v&%4QOFJFzqe{S-PH9wSb|w7ODc{HC8E$HjcyY^UcuEjO5$U2RV0JT@47W z|50;+U4WO?0vv?EwGmd7#J3z(6#Uttc!!v%8Pj@Q;?5fM)roni|&326ZZV2~QqOS*XA;;+kH?!b@iG7-7uiB>ikWux?BfHwf zV3Co(x-guO2)6o%`-a_kF({sze+b?UHcBJY1Py0g_iW#2I$p%p)m2rs!SO!YQc8BG z4y*hZe_J((k^n-p8&^jvarQJg#@tZ5nyHWFNO7gxrDy+sjW0B}tLamWIs{i6euIQ5 zxbPi$`Olxf;uc1CEXW`R!p35ijwV4*1o{|X-fu!`0-bEXt{1kyDMP530+EfS54o7#+KWZbS)U_~-CD z3674DZtNwTa>lfm$qxI(UtguZmblYwYJCQf0K?-_MnPDZMahLqlD~86g9aQSNd4+| z|B1^+f2f8budcgsGdFLW=w&U|G|&1&~eZ!s6UZwBTeXSXA+6X&?As& zO1NBb`$VptTBK5>Sn2SZ<@2UMS3}F11Z0#$_hb*GtXnF_HhMwkdj#YP_UfC9JZvFf9bQTbXVrg;{N7{Ml-~Ehz7hR}&5r-dx*aOtkBjVtw zhZ39@FHSA!;BVs`bNv!ub7XyLX$H!ZJg6- z^0B`0XOS!gsRt=DtC#CfH@JZeskCG$iH>@ylC){Xl3FKE@PVZ?4G03WX;|7l);Caz zsW}4UvNnQjmCSZOK8+wJ>$_3EdnoLAX)B@d*Mg`X3$y5-l#20xILBVjPduTf^;FY+p4orpmPcWeO3UU>L0voLT!j7upwxGV1Z zuHH`_RsZk0PdS?!T}fq&l{&4d@TKh7e}qr}yHzu$#BG!~#)4a!qLcGF^{%JSpHIEc znUZOljZkTf2a8|tVMY&}_%3>m!`086Me4<&pg$FHk{L9cA{yzJutM}3RNgU<&; z5w}p8HAZ?qze3rJb`db?v=Ba4TLzJd1?z#vM`#=fA>W*b1U5kooE{CPl!^?Lb%$fs-mSqOG*4{( z*tPG>42F_JvCnc8n-sEV0wRDr>Pve>rIn3|6Ef4KnNkYGiM-fpVB?9SNO z*wZ>}dcnOG6VxS(nF`N6d|zJ#f`GvE3^P+`uCbQ*K|0jn6fJT05slESpa0BC_1fQB zwRke20sOf3FN=x5s}XJyq%A>fQISfjEv5 zX_Z=#OnDx3hv?4A?kP}$pCYQGYAeGXUb2I-id;mj)Nd*Gd4-^6eh^uDE6f;P9g2xXG6t!*0X}`l7*3w&qc5YO8w3>_} z1}*QV7T^0z*xp)R1QC$d2Q2UJt5w(6DO6)R&yHdj2!>$OnS@}{V=^efYy(zN+F}Gr z+M?0w&bd1puOoz5cxKXOR+5+)W^&H0os9RnScHryOp~%fNXyyN)wy=op<(dm#;BTO z3*Cke>F!02!kzg}1|v{JI9mm>3kA%De;L}rF=?^Ss-|>mUn|GHwOvUfrb@fi)M>+) zmW8k|kO;$n#`eFg6qmG!@i_M+DO+&yy~w2wHtjMe12v`Zap$WHBE@~O$(JlLvkH8m zxpHg_j6(V?xFIX#;yF5L_%0XAE#o^?8|5VS@o#8!I;E4zI6iMXoNmpbh7nA3Sz22= z_9hmpHA^b=nrk}X{|@3SCZ-~HJoKgaT!_Rg_B!<0)6_{erE1#J0UQ(2=w=0{Rw5eG zdArl$_A!iH(+dkg*Zlu2rX;{{K125`bP8s=M%kRJFrPuH&q!rpm=vsvu z;6ltmg#x1vXGC(1*;+)HX2toE*KoNtQ;=}uU&4yz0$Miqy`!?wU1} zWlb)jWp3&ujQm7Ps@6VKm%%wd|IARKjmiP3Uz5gonIgg%wS!=clRY{iA-!Sxt);Pn zgLC(nsNzb?1qD&@u1xcTu4AOhPk@=^YLOk^N`)7VyKnfrIs_2r< z!mUB+12tR4D$aj>m|Li_9&quG_wLRgxw{kTZT}8R(;9qLaD@^yk@Nep+pV!j(2>n~T4Ke1Ij8udrivqvZcP7(On zZ({7weX-(C?(2U>|8O#qbwm!#AiLdK=}j~55Z!_zT%NjL31^)VtODHyBI>Jy%^dQl zUbj-bXf;Buy7VKh&U_Ag3bL*dku}7?sG*lk@&T;m{2@595E$`qy$;`kp3Z#45t}~KkZ2$6v4T%n(ktDF$IAqh z2tiRKq(ZASDU_()s#gBHgLoBZca(2hoL(^>P2Q#eg4S6l&@o4kJGC?oc~IL0k%NO; zg=Qy66-YBKll3oh&5=)c-lHOa7>ri0c&_}Qm+qPwz?<_?TN&A-*5L49Wm!M`VO+)E z=Iz+?wrWG(gs+0u|8^8rcJKTDct$ZS2vmD-rWkd5yfk2Mu9jjJsj(}d^sURL&F-}` zDt3QHF$xyzWDyR8g`7+l3&_7zIN2s}!49#Renb*=rA+?*21Bv)$F^>%bTd(YCaa@WBzmQ`{Ij%b8V6+bew>x|%9KH|{r z$Lx<=iY~Wwn4sjxKar)*bvxtu<)j7*ERy@NqAYxTtL&;~TMV9^WUF?5>D?WcJ?&Nqpm$CCo-#5> zG5&gj(>Eh!Hpj3L&xZqo8?z2zx1+DEY-AI(gqoeQ*HzDOD_#lyM)pS5BbMZ) z{Zt4-kmtpV>5e{Tov9r-0NfUmO2wo4x_7V3KJP`=6~;96tHp!&#`H;VVaOX$4m77& z$p;^3n5wYy9!l-h{#xu$pI(z7JoC#L=n?4qWnl<#<@gDePWaVW;lbhIcP6TusylYw zgKa)gP1O*k1Ae_F#uB!^DFz>%)-IM8hkUz2OD=sHOH!3pvkeD-+`jSKAmXvd_FCmV zy~V7joQ@GaFj>(!6>l0?boV;MT&_qIT!|yoQNg<($wPRb*qBa1L-yoCKj6j94WUAT z87}_#E0JY;&D54nI6QrXM*Gdrc89T6ZdjzL%$oihIuUL_ukleuWki57wkD@>9ni;U z5S2#&Bljjeyw<6A_jmA@Lo{v6SV4%Alg=g=2c_iDi0UKhIH7gMvUVbJdV_o*GNyNM>OR!9VHJz+}=PlWo3r zKSe}%(fT>VR|ln8GIE-*OjbbthHV`Zj2YN{lHjz-PKEl-IH)Uo>u%bS7*?qji&AD~-+dz-iI^lg}_G#w#_G$-Oud48eJ z4@D8JIYxK++m6B~z79g(NkRc|M6A`mTE8i~#SJc6YV7FV9~kGzAdCw1Bn)ULZd~3* z&8l#&6bka5Y_)&=uyqyrBp#QTokEH%(|wjV0}Ya{G0VM2)(Nt9yYYab(Res?U+Ot| zKArzjtaqFv4oM*HmbLZ*cI(H&0^S5YPJ5tt7?3CV4K`!<{cC@Z;n57%*d-v#*8KV` z;4TCmFWn{h_D4hWaQ4y*lbsP|;H}BXLX@a!uoFlezZa%`I3p8cW)^I`OV_ws(Er_s z7ZT^?`swy#(%Xvbm(}Ljp7Av6lnY zy*%a}qz+$goN*A+gWyAdX;jkVh5o%zG!BqI^XiyNF_clyoQw-vmHV4YmG!ZmnPGK| z+wKj2J+tWSqD%)(h3BgkP2KsfMA$6YHDmS?#%N%XuRnajg(P2W;Er1;KdWS}ys#fc zDZyZBx+{x*r%KtkU>h7Jl=+T-YR1U*zvP~3`3zo^Mfae73zub+^)-)cXRgzh6ui@9xLX^~cIkXz-{!11U`@3G zc~HwvtZNj#H@@pT4rj#|D((`6PQ+fAhCj_LplXm<21Q+)W2$DL@k1d;@6)jT@s&SdLOM`+3 z{24I$s?NyU1Bg$xD1FiDqmrjtG++s^d}#$W7>pKA0g>(s<;oyyuNj$vi0S+0v{)%Cpr+ zz{-58pbFogKkxW!sd?Cy7*&6;7QrMy><2paiHsRBRP5HpZH|=Ehri}BP-Ai2p6p0= zBw#*i+&cW*;{iQOUwvb(O1*H$drlCAr2S#mJ>nEtVgE!B!IHDEoXm3+U&n#%-`*YH*wL4R zq%9d)-24=OgWkK9NK2~n`lG4^e9(_R`#Ar--H{0$F#VpK(cuU|rQgWOIiVC8zwhm) zySOtqcaUsC>h8`G!UPHf$gp0n9(+9S*yv7i)Tb=M@*WD47?q49dT_B6RaD_k2Up9} zBORM_jW4WRmU;@6sfP=UovSUUhy?DMrfJ0f2*(Jt;sB9RxR=v?SeDQAnoqZ^a%?8f zPzE_K+3RqW@ZNYno+nSA4wp!Y1hyKVy`e4sd~{^{RjHqN$I~e`PToAIe9^8m(X^q` z_)J89?0LkH9}%HWmQfy}R{bAeYoqnyF6@J1pwY zoxLtkyn&ce%A?nL+^@7?phadNzJfg#=6hbTXe>*70Zw}gn!-C*3B1FG?mFM&} znz`s$N+7Pk@1c*qNdv>M%;B%2nB|E+rgte00botQm_FGHEqi zMN4Z{!wMGWJwx7pl9M;+{Y}M?mpHHcPR>F=KYVO7+i>xh!_#+{EHG)2->-)}tb3&f ztECXX(g_(4wSFek$WwY>vQ&XrV>ZZ;*s>bT`j9y5D0O<#T?Q} z_9FGt(t49DM`tzB*nvm!wcUVYUK7V#VTm&q{|{0^s`W*46LuI+Ye3Gn%ntv(*he|W z?;+AD=|3hXZ#Mj8_hk-oM;D7ICEuFwsXkw$;}D^ez?pZs#LSVmXuFNv7;VU+h9F%T z60F`1v=&CxryC3?LK==aA{_}wmGnCHZA1h|eVm^?aZoiMy>H^R zt_wkQghVk2RgU~=l&IxIz@h`Y{X?B;NV{K%-W{qvppL>9?uot>7<(eTc(GRSOyJX2 zw4agK=%x=S0<6oZ36tQ z`n7B5&lhfuF4d+`_=$Sz5m_%v%N+{MdrqXqb3%ph8kk1zcqA!N@hmpnsZA!h6kk_W zIHtK~mb=^E2I74EW4->W?#9Wbp5cjHl7&Kb#ASx>PxFSG@p)V!epV5bBfW85!yOTs zD4uOEoR6vV{@!^z;EQB(U8ix|4%0LJOO00UKi)?NK3T$`ILW=Z|LvNHqMoB_D6@F{ zESaaJVG62r>fFhFQ)7dQ9rl5C?^WI5t_)k%ff+sp@;YE(9pPC;2v`hiuXM9?N1ev~ zMR--QgjK3FY*TsMx-XR8NH2e$bKtDxnFn(%qR1uWOgS0>qoIG=t2^CfnzL&JoI}x` zE|cMYu^F4Gp2rRLou7_-1)Gp6JCYfQZ0y5g#C=%|Lt_RcrSU){lpUo2e?4zO`VQt& z!37<<3yDXvJFF0jN*}ag`gB()eEfk?0BC*rt9-dS-F(Co%zbsbirWUev4_ZXItJQ; z%;5%~CVUVY{`CkCTTT#wN7!CECyz#ij(q-V@T*Q9n)oY=(27GEhy5DK=XjP>>%d~K zMzhOfmz-;dqP)LeJ}Xu@O`OK#qjqjfmB-N=3idH!t;gfPE#q+peoR~;1{$ylgQ=~d zbBl|ce-#Tvg_wIK=O!5*D*Hp8?OH-(D;{TMWnDPV==G=Q&#r3oNkw)&$vq#zLo8{YZjWH0={ChU~-WT*jmqc2yN+DuH5d*I}=pUa;` zY4GpP^sg{WlxQDT{bF+9mwsnvHyQyM1)oj}Qb#1S`C+fXC1dWfxe^C(`}ptATBIXM zW9av_T)vFfgsdGc6!dD-ywG`uKrUS-GwPZtwI|z19J7Rfvc4=Cc{$xuY#Y%W)04 z2YCQysS2WUU4);+-_UydJ0kIklt3!Jot%XVY|h$swn@1;ixE7LW4FlK*Rh$^wy*=0 zBFSNR26o#5-_z|$^GD3z?C$38o&MU`*odyvsjjT9!n6H&(J^A&uh&ogKlL30O*!IGf=c@-#}i zP1m0VyrYvk`F_b!7BN7?*oM1e1%xd5XZI(R*$gDPn}r+d@3O-zE-7M{MJko zBbI3`NL@%5_i}>x@W_p{^;6h7=!AzLs#0Q8-uew_%Br2@Bv9&{= zJZLn=29fg`RH8^ka-8=UL%?VO-SOTm*tIVECE!`tVWJfJ#E0`J@=pkdvp%Cecc|O{ zJP-Eq$5Ozu)?Z3<77g4kxqT_?_Xu+zNQ-Q!ehRnhS)LqytCC`Qt7!n9I*s5t1mB(Q z(x1f=DOPOFy=%njTxlM;c7IDAe9wlT#TTv*fxd4C$^7_+bEzCDD#GZ>0=*uUsumou6gCd)K_`tT#(!BEy4F7hACjxx% z4RP1s;Dkb*1a~nv_S4a)%5<1_8ofuKCP%ZJQVGfK_%&fk3|drPFDr_hE@`uKN80La$+C$k?oJ9%C=sefyd8y8kg56aOd9>=7*dkJoshciCopo4yR32 zZtU}$;Ozf!H6)b5>)orwu9;#z#JSolot4hlxT&qDX!_Jv!V|D(hYPvkCi6~Z;Nyu8 z)DF!vn48{A+~>sMKW?eBpXGku{7Oo4S-FSKc`b%*d3pJ;HZpy3-#J*vDrp-Bn-8A- z9bq7q4;745N!|4GscW{*k}sEE-r33dhl%5W%vNz9X)X-}%Edh-EGl|>y4F^!6#|_f z|M|N2h2%g(G@z55j0796X*bXLxgpJ`0O-?;bP_HDOTH@dli_f++ixm92op;!%ca^8 zK_ML{y$W0=Yzgt;Rw=rIe|JV-@*N4KaG@P!6stB@Q1E4dv?J>Vai(~jaN@fx;A;}8 zZLaVMoi&cP*PoG(v~TH~o=UtPbN2ArO@E(&t1_F^3$CR;Dt z8e3e!G7HG)v2E_pBKq=$`vFP`b8iO@m>!pEYN!+AyV1Z%5&wJ342IU{mcIeUHE|j^ z+I1{WiYS`KI7Xc2PMX6M%zUH0?#}b0Tz2oF*C-2u2m3X7g*HHNba626p;D@XcE0~Y z?=X@5AIdTOp~aPp{4lYnG$8qfZrFaS*BkeJ!K(A@tXbnYQmrz*s91V|+hFhrbU%yw z_cV_~f{UOIXWfK_Q-&~Xsqt&#Klh<1Y1}y;bMc&B`z724{VISXrXfxLV(f$nsS(jF zr(so8F4urXy6)EKuu@9ypeq#s&hT=6uD0ZhqE8BpfIN`amhZ()ubdF_6t(O!+qC?-$xJIme4L2-UuXbk zOqFu8B|-p9XJV4|kameJS3vjLyLka5f*n8CTZ=@xWoot+;raKeAl1>BE@hGiB99= zvuzH+ko+*4+bi}wk8u^xW|)Fegof6+6L3F}jl51UiSX`mCqh>1%BNN?^>>yS`Dh`q$gK_k=+q)uqy{R*%yonTAm@Pe=t z969}doR6f+`7#xil~J`l{4Sq}#Uoz(4=d~}Qqtr_ZUbUOj(;`r$leL_FjTy*b~R1# zokmUHQvzqhPG|k6pvhq_x3LrV1Pm09C^gY&NiKU!119Kmmm-jL;@VKzpLvJJVtYH^1V1-$`VZVl%@m))cYYo zq=rwja3DyZEkopdc$e^sc)4;a^#=8eQK%_Yez3{yBwv_0rEo zE`aqhEoCo)37sM6vHEl=Q_eQ@K0D6#r3Ev))l>#~<)4Wv57%HTKIcZ4!2wktG!_dy-HPy74*}rOrl*B@4}~Lkigig7kOdB)|MW@| zdf$fMI}nD>hK7Lr&ilc1grhi3S2?mh57Y5US-eYRu6$}XMFZD%W7Pi}aW84^M;A8~ zfs*ki_CG#FSKA2Dz*W->URh5rqs!$fmJ{Qh`jzwE-wDM$)6csf-7uHVFBJa=?O7x> zjH55U3MvW@cF&UT<)~-h3K5EKY5oIMaX!>qQGMhnSke-?OmC0@bp^{H2}H(7C&EY} z6YZcZV1S|g`K7cTxh@IF$?bel)V*=PBj2o0Z6oI!Ako&&#YDLE?biC9J)t$p01)rlR1Oy=4rysgL&wwO_u_^gx(>RWG6U* zQd1i8jly!LFa&DASNY9BnpP;D%8Kty5k4LS`f|3<(+XifFRK8F9N{nAgL05jTN^Bg zFlg?h^ua16xC7CrXA3z9v|kEH=qV*1^D2J>Pn4CfL-fDeFvogLkz7?ipg?7(ZaD=1a5GV3F*iQfcp$;NvTDkZ*6DVUd2`^d;fYT(r#a zDj-yOt@TX%pZh#1i6u#Up&@imBZRa}+Y1Ai8;S)#Q~p|*5CF|3ax0yZfsDHPj++uw zN)ql*D$rB*;%Dc|5rF+-QvfnwJm97Lz*3WdC?P8J%z*nuDT9|i+~?S5a2JD5OETSJ zNuC{I8ss57wz0Dl4vNmRxnI-<*fo{I}!(FwDOO4DB-gUC*{C+J_{ zo#KTP^64pcg24{D$_zm5!+x4vo(RpoL@OK>ghkR#mu4%$B2|5*;>4BUDsAECI&ja# zd)6|YMmQL}m;IpzU*nqv7s~EZi2U^_8*KQ(x_k9!+%Fo1%tuD<0xz<%$`xyrxMIk} zAuNy-vm_d!qO2+Ru2__DbLo5wlv|Is%J*lgk=VKKr{Q#`)xOqJtNZg!n)AVwetD4c?q{S$}JqQECzsOx#dxr!5x?$y(+lI4{fZIU^!7m&JHK5gg9$vV(}D zjocjX_i>5!!=u_g(WB^Ha%KWa#WZzS>IUzPpo(t6VsqmOn)2C35COKN!b8F%Je9YN&P6EqjzyIf zP+Ub9?Alxf9j4s8MeN~YD=H%8m%-q-C!|WH-l-@BC|6*oqY!d=!~Kx-C(l`Ju1=-& zG0U`CeC^ihB{dB~7FNo%8-rhS*=0Lt$mgNwjF1ON@%-%LqY<(TDoja-<}!LQOaZvF za~L-#`0tQ2^#D1$OKyt_G$N#o7ET;BAlAd~>F1h>9@8{FsPZB8Ca z$(}aVVfKgn;*K``MvP9}L3cm+bl(U}xo&>p(0?sf1+OUtq;n ztdMH}LXpC@t3mH+ln2Yu0A9)~EnUZ062C`|scF#MwPm_Z{D=EYGtNWU;{Ad29X#$M zc_9GkPh9c=k|znvHuJ`koK2fI8^Izc$#dnd!G&z<{DJYEM5A<^l?1Qn!7}{+=JNl& zxupGK3iAT$;7aEiykcUk4P@;DXmb^r@CMmxCAHuS+}}_Va(F@?is_%EH<0*>?*jpnw9LXO0O(8e z1^}D!IXOCW{~fxTAD~NjC@NE>Uf|FJ{$J)>=_k-juJvT#?eR5z}g>OzV|4}2LSxZ6h1iFTqgUS_f(r_VE9QuPRQj@ST7D!)W{It;8B^GbIMtP_m8pAh!qtQ zYT)mTJ@`B6i_IkTd>GVV<{4}~6b)K!aKv=6{|+M?((o#4p1|V0fSJI*P%~iPq4>goeAuIt=)fwB$qc58i*J zUf0p#%2VL|#{|YfZS3tuj-Zsbd)ru|;^N7rIQ}@;0`4}%fORw~4tSQ5@I}M?eUXZ( zseV#sW~M=0-rt7Lnmwb+WSbbUdvQYp0*6;fkf=%zAn5faklu>7p@;-qdOp_bM zRhJ*Sv2nC#zoaZQE$QCv+vj&daC5sBJwvRd2Xkkko>WeiZda#}tJB?dnTzoB3)IUK zH{Hu}X=cM?1pW7*#7ZbPNS_=clJhhD@e=8ys}zs@-A<| z4Wn0QB%sH^`8HwBA=n$Va(H$oR9BX^ymq2+HP+VAqxjVZJ@xW{joZ_7a1T#cT2kW7|W!<9nICHO{dE4F${mki(Ik<;cN<=x&b4)1oNFTklFfnO%MXqpNcrGd-kt5mW z9=gnfh}*JcJaiKfzNbl`%=qD$p5I~yKLCaBZ3~pF=D_6=3F~NT&`YVr@}TuT^W&0E z_mEPfRqkYZZmaYv{@HSyhlAPD^P%)-uvRfZb-tZcZ-zbN{k$46enrBf)$%9oR|4Z| zjFooiC6CiK{PT&I@H&!V?y>TBr{K;eMoQFH4QU1N1ET5HgO6MH)UtQj&DVcf zJ@30}3`g2Ca+e<2s+6h`rqtdTzER-ag|^NSJ6c5mhGXjhvPQy>gQ`$xF`Kxl)2Se6 zwxMNqPIp5(A^-*r-sz`)4Oo5gd%BYR!g33`w&WuM&r93yG!8)7@5%NPkS1q~$(Iq) zFrlG~XEKzb7w-ny&^HTB2rr&x*>$mW4|R%d#}GB=61M_3Shww_VbmBxDcPHQp^NnD z)sMq0ADgqEhT~t~6JSuwcMT9s9nBOp=Q&YW>T9{b2Epucx|sBP=Pt<<+%5+vTcHlu znq0-?>Q2ertvf0CYU?@Z`zj-mxFXe&;`4%sSs}l$!}4A{UZwiG9mbpt;%ys-MTrGC1TBH`knEI4|C&cS~_gy&j?DCWq zNSI`=>go}xn@E+#|K9#$SlwLR4)(qk5G&JaVAdVQqzxx~zACP_K%7DWVd-2Dl$0DU zIWS&M$iP`1PkPxKO-bJZ>he&C`F(@2==FPtR{*MafB;D8mN)NYMq%g*IVF#P=EaK_ zp|ANxT@%~M4WB>^+YgIg;NakFUB4lE{hHq$jjz!wHvgbLQ0i=(9YdAP=1^h0Oc{`P z$UXT29FiG%P77$Lter+xDUO zCw`daQW)KBpt~CAq$GZOh0JWa%2}dySF8x93cW_+u+oy~5GVfBJB&VhP)E~4BDBhH zxD_pic8-zO=YQC@RDe<1-nSY1eNXdRL1 z9Gnzpemx)yhv*vwR*~MBg6cwti{-Z4(M>y;gjq%iuhfw75yuE4^J<;pNruT{Hf5(t zF6WR-uFQ`^0+RIh3?66k*;9#Lk%Tg0>DH-@p^Uf|Y17+q>XNQQq##SpI!Qfq&QZGs z$x=SrTgIUJkQc-v&(9KypybG_D*-M^4V$sQjwW`dy}Zcmgksz#6AdUJYRpYBnIeF~0}vCUmi zb(?BN(!cUV%S31E=tIsnu#>!U~!^P@jeP3NWsAKZpX+lu=%B43pjZNl)d` zBBt@w##!+?-P90*vl|=CqNSC>Vd+cWBd6P!{V_M8pDGr#mb3nGA0+UB&GJ<3IGd2^ zV^gG6GO~n)#T)+Z(G|Xs_~ZQ+S@3w$)~T_-BId$hg|wjQ z*q6!2$Sd%0y=ol`!MS_GmsGBj#U_`|AFH;@F)Das&E%=*!AaB1-RU6f#8%n z;^hF)EW~Ru#hDQw#peg2EqmxT0fnSYl7RjGH@0urmzx}{&y=D`Y+LP?dOo`TxSmMR z&vh{6+E{cXlyQ?!8chcNMhTZIRkb!)U1}>*$UCyl`}f3K-Ae9M`7F)umrrJ@HX>mM z3snSi>70zWt+1G#N zeSWz)(qZj^Z*dWYapKj*Ytccf!;*5^ZYF%b)cD3aCeyiV(-KONPw9R+!GUJKr(UWP z0Z1H*WIEF?^!XF>4SUGUmR%%5dmri||17+C&MQ_-ex2f!XYOEJEPZ{w~K(xyb-=INvE3KS`!1jm$#Lmr0w&>#Y3TZY5lSSfrBZBV`>K5Sdy)7x&@M2ga*{uqvOwwm|6 zU$M?<^_mM?@Aa!qXXaf54r`OhrmPn_N>ey;P3KMd{;vzpSF>fa+9NUl=AG53%=akE z`LF4f@qQr*Qs!({ZcEX3@eFP#TVxb}6hqFqfz2-=Km*2I^J1ocuw#19puB|7?~-BB=0Q_m_WxM2vhDCy?M|fC1*#2scHLv zgQ{C3O0dv4Iv^b4E^`j`z6;Pj%h75)e-vWcQfYJ?SzD3VXoOqm{b-6~=Y#q9U^I>% zy#c`y;q=k2xB%WKWZ?~V8*PB)Qz)?VFy;3OGsDV5*R%~(hXk_YLpVgyIl5Q3N)ovn zE&9mx{ZBO)lOyQVTk}7=(Ce2p)s7T`k6sbtup>gsR2#!j>4I_zB6}OGnu`B{VX?o;`Em(H z*nxzaF+hmmq0wyS$L6Tsn^Eumt~Yj5xo)5DaG{@Tl$%3tEdE{=2Hr~v2KJ6029a`0 zn)jjyf84vow-%u!@A}ZH6gpdDtbUx9MP;%Vt4k5Q?E~l3i7<9a|4)TD=t^rInhbwe zKqchQHPq~S-ZgHzBsG@USxsddSg@s+<2zT^9L9hqptNf0Q5V5Y8BG%PX~vqK^iN>O z77M|h2K6ncW|tbbRv6lL#Qd=hcI&ae5LqG@Cqr1Dqjo&qo!C!yT@{LRUMkZGmMfLUDbLETC! zvrGhr$}64#ygyqZi3GWQf_uYJ7`@T#DGoVFvm0dcqbD;qMEK&xV#!UH$5M^z_)cf8 z0%Wm&b*N%VNTc*r>Z}jsb4OBq|3OsJv=yF=YD&8@f&(*oSgW+&MxDotaG1GP7qX2K z1XhZwH!j!@N86}NYi_n(2-@^X%%`*(MBWK`Kvk~z!)t4eV%ou{m88+SmJwNOM?Ze{ z^}U~cKYBQ4P8?07e-&+qrL#%v$iVsRfSwWpom<`) za8a4X1gb6FdYhHkW|Jjh*4^?lwLJ4+=vP=Xro10?(IRE~_MC2R&M82eLEJwDxzeL7 z(f(tho#E;3g!(MuK9Kt7?v*1qG6tc0g9EY(T3MJ(u8Q=hvwn1?v!15oT9J(WVjW3w zbPth$ckbJK3?)jU;n#Dn?~+dFC>DHdx;+Pao93SXl1b;5owb$IlIg;@&u#1oIwK|I zc9MIyO`hL`!0Qoh;&9T;O^WI8ZY!BYYB~o80SqxszdZ@%7B`#T;xVtAI|QLH#`Df--KFkwA( z@lyz!-ebpW6v8kl#oc7Csl8N1=l3Tar0K$Pxc6AKmNWh5%(-J+m$l~zdDuC=nw!BP z2`=Y9OEo!;))S+G7V*w%&#m3(^KxvnzEKDX35{NnbdWBhQ(!9=tnw~L40y zuAuEq=F8wS0X}VuPiWOhT*gOQqo9|5kZZ)b@@3TYWRk=zgd&b4O1Y#FpVy%NsFBa= zhQj^br%2o82#v z45(L}Zv2TLTy{=&a@Brbvu?!)v8Hh(LZmeZ^%qvbXRfq_dK7AbL1+dIQ^+Ep0fJP- z)m~`bybF?5Yq{HgY3gRcbpU}{V$9tV0YM0;N*Bg?2*=c1~A#o=97g24+XklACnxIXgQ`jOcZ(oE++YE3{RcFFh~YA`7R4 z#Yay@2c@Xmzt&Smuzh-a+J~|AEReTaN|1MfL9>jvykIZ{|eGWT7w*NocyRxVzuPvO&AnCO%gO@81kR&8b zf`D3)K|mxD5RuAg8AJvV5xhzTs>~6YLM1U$l#75!M8Q~@QzXR%Lj{2gDo_+FprkQQ zR2c=*9TK{P)xP(kYn_KYoSbv^KKtL_+27g!zhh!tYsNWo{SZiC>mCW-Qp3^c9z3(* z>5s9KHxx1qYV8B}&g7Wh@EXM?e(EvVu|k0e|l}R9FABRi=W{47n{k>5KD8$GNf=>Fjor7Gm+oa%GF&4llH+ z9thG|M&0#fBZ&G<TS<0cD26*AQ&jUR_|w7UHoQdU=8Gsvs$NCn{&c`l ztc}e&Gcz+tmCpU)YeAj4%^{z@ph3~&o3^?@2l-pp@`Ubs#$G1t@e6zLe{Pl>4y_+wu$zD_n?~wir{T5j_{a zqrc^|=b0nUSwR6Z^_T)rjoE_!)ICF-HZ6!vd;HUgbV;s?ox?uLokA z;qbxZ@#MO@yCr<{$?+*Q$dm68=(!g0;EZK<|6IXwX{@+%jK@dV6w07nJuH0L+!kgJCu*0 zK~0;Ny;^VHs2_XTf_hl)`LCRpef;XM6uxEs+_?G1&`zr2iHMCovVFnAc8xhK%F#dG zWy3IV|Bob?W8P_cT^>-XyCrJiOnJHftNBxF+ZYBEE-7ocZqj&jl*gX77y(CHg4vSv zglu%F3l4Xu9Nv#TF6gAVhixDiO;1ld+q++N^;hb?4t0QrhljuaZSsWvmsJGULhF>| zWQ6rt5>@zs`RvSOLU@g{W(pFSk$sjo`%U!N;QgQbKL`}5>RGRtCMFUd)z$VB=^Z%@PtK@{DE_HZk|yeaz&cP%89?OwZ^iP0?2H2wGT_#Gy@u zMW z$D#KoKXRWtjobnzBRsEIwLR%Bm=g7cHE^&^;(1D9!l@?r)OFL-8jgjlF0>|YQ>LV^ zYV8ZQ{Vt}uF;TSc_R&H6YTeJ(LjTnArlQ}+Kr*cyd^Ln}wu@I!M<2)aBF~$+Kgnmt z{*su#@r30;mx3%}b`p*7D?dkcXzqY}@I?lbS9VpN-OxZDe*Y^?8~BIaDwl!#3lwvb z)E6fL!_bt zrlTAV|24upz##qi^{BtRq9S1+*N%!+Sh!=J|F-9~WVEMhk6u35G0@ZQNeO78w~#d}dMh0z)SNioqK9=9!hy8!yph+Q zoW|(f-j(`faPS!9Dm%4}b`+*TL><`i(zA!J1QE9i(K)D#vtus?KKzgkl&%?f(U+oz zEu>)bE@nkgOW4!dqV6is2w>nf)^HN%G$Ooj(zh6`ZUv^JyG+!|@7m9a&y4c7axTDU zlJpddVgs_5OuwvRD;k_`K~rCg^jzk1e4Wt*#6=H@|FaTp);TjXy>b zHO#|xYe_XF5~7k(-+FeIegn0UfnyG`+3b>#Td6(DG1fAtiN#4QGhVuLaqE$AJM!*+ zk@n=9r+3fk&EM9cHPhr<)cBKI~=U!6%-5x3U_B*P#a>O5b3sTu8-9s zWvlWya*jC#>rHRVMt%-?_3I5NL8R|JWh9AUp9)-9zf7y-dI|O%k55a;v1P`8|1qAot9;9#!POt=*;O_4BEt1|X zdw1`%&$;LM?)}k!x~Wk3ZMk3XS;dMxJ>%urU2|>p zDrK)7bQo}*ohxjPh+oSn3zRk1b*_QA{wC64|avzrJ^W z`7Opvghc|M-#!Su`HALXAZZdUhfVAs-UdGC{=2{U_XqzT9;hdOPl})G?C&-6k4gj7 zg}*1o-;?6+?c>M(`}b1#?=1y5qy~=*jGib87F(FAaW-M_&SWT1OJ~tvKUpOELP#Oj5~5JN%WOfA*dI!@ehEi7 zc?2sA?hIyuF>5zb{}l+eOu^v#hL$1-gKzPl!)$PvM*Mck{QeRn@LPXh0#M}Nqw)9L z_fb)G>tUU*IZ!e83h;0z2o{21YuqgE* z8qXIaATsP1o;0iLGm>ACE|rpf-jXp9@a=I3DBg+Gz)|`xg z;}Hg<8V8czeA$lt$-uz=u)r01VqtLEEw`H~!cayZdX|0ypVCi07WL@?aHYc#fq6_{ zd=FWW`vacu@v{o?pA7H?2KGw?=BhWyf}NLJ>nR|KAZB5(m+`5@&sr(b3I$xjjsSIQ zcoQ`OH>F^LFjU${Omj~g-$F@hyajbnEHc61ZIx!a1dnI!v3D@hR_J%_>5 z<^{gmjnnY}dX{hk@THl5{n7^aUpl1g?=SuLlm2^p|87mU@G$Hju1J$h$8HlfOK&yu zNnf!5>&X4j*3mxdqi*>9A}*bSCeH(xbB5xpvE92p%K??V6ZvX0yV1RxtFii+xL@BC)%Uuwc$ zFi=kpVvG=&o8V#z9}0shoQgB8fP&=o5@E<@;74g_P`)o4anYdeb9@bZ7-YfN5lDCy zPaPf6lowhNP*FSYc4tCP z-2##Ez*O>j$$ai`hdxg?L1={2lamVvOI_dedK1|Q>{kZDw#G|9oab_(p1E=<+?^IH z%ga5{g?D`Jr*xeb+4`~EHn%t`BEBE|Y1^T( z^wXJvGefF$tNPRKG^(JBv!Okowk|NGEdJ5nHKWd3cR%h(D9M1}m`@%nTC5g};h0?! zqUP$Cb7dB3m%2NNrJd*pV6gjggtA7}2o6~w3R5$y)g>LP)!6sz3jeIz8#lw9P1RUB z=;@pXutf?$Nk9Jx6mETJ>2ToZsJgLl?7%$WCZ~pRIzhG!aaKo{Db3vwqz zLp~)8&q#&FycT@3x?P*6)<~Hgf<40cSUjScVPEX^Yg`X(`u6Jp{>aW6+epR&wc>Ef zu+62}M)!#(2gY5vIl*FlRh7crYliu`uDg#uNzbG>xq4ved9Q5bL{mmE7ISDzSe~`XQ<>4ZED$+!bS># zNA60es~5KF5zL0OI&$czBk5f2KhW(OIYE}*0^QPHq~|c2V`s8jrU-7B*;($W!U{vh zGfCmepmo`7jJ*b!0Md(>L>TrYG0#4Pu||EMQ7%ZxsIxv{y1Y7w^lj}KUSnG6A{hxX zOAy_hwjmwLmJZ65Ph0$&0ex&kqg?2*`JS7Q+~ZjK|z++G7t<*}gbh<8)ho z&cF3ljlMA&Z4sioMaoNu42y)V)J$-*Bf)z3+V>EPwjj+rg##XV{Hi-WMV*Tj&lIvG z6i4^M=c@D3sd|UA=yBqZIGwktzt8a5vaD0`;*YiE?RBQV@bN8Z6tIB>#iS5z?+}fI zerZ22oL_Un$AN;fJ6<>N7;7rt6mJ!cv*rU+sjDsbB|N%9yLmYH8G63{O{AOW*6EDx z`PYXG#!@eL0_itrrMPg^O0np*khQCJL`sQuKLIm)Wn)TF`2| zPGf$>PmYKu&pkR*qim5{sS=k`{(?pe!Tx+-c)2eUlVz>1ExIcrGk~;<*Y&`wGgPC( zs{-G>Js~~MlZ4k^=Z1FE{prDMf#rLkF|7u`iKS<4=tdqWbX-t@q|%#O;?n>g*+Sn# zCnxy=UGlx94^P0LwT6i)ykYMbl1>k!OI z#oE`$<_U3q$?;QB*_IfumoE|($$|u9*RkyFecdxVHELfaT;|>d9BrOxR^${?*o<4> zW(y^oeV0vSZ<7}oRFhsq;=)q<++Hjvdw!*_aK>i3>!DJr_(&9KCBQ!@2#vV4*jlz? z^dy}pp7{b^CWX1@n&;rU(l8fS7%Y8(MEeHo*>0#ZmAr_y95stHLA7Os9apmBC(kb8 zEQ!dcoh!D7b#!;yi(8n62>2}4Pd7)3;o*bOzU8{0Sx(gm-qpw71I<8SRp5Oo2gWP=vHCVCzns+7v&VH+E~w26)V&gIUayb_2E$Pa!j}wbQ|9zF=X5BrFp9m z9Lj|Gr@zbSU?m%F&-6)jidwP8c<1YDU0{(Tm-H}#QdTuRGTVNjahDqP0D7|L%(n4F%xk0PONrr$q zLV;c*CH4h_GRWkvsd4lAn_;JLs$^8QiJ~xgLz7|{S*0@+&u;aa!g1>mwpB=2ReND! z!CW(C0|CYJT`)s-CWNB2ek?yIr(Y{wX0lwuDh{7Yj!>Ad8qPdn>NE7!$o4xz46W6^ zR3AG-vBEUNM8pF1+(6e%|2!5!G$G=2uSTs^rVba%ZpRF>jhR;@HpoYWM%IH-pze|P z5qtJ3`C2Hh4yMY@<m(%q~n~&Mjo-p!pmMCA;1;FfHJE6xh z$cP3%p_!`*qKXijJJ(6Y)g_$;NhET5AJCHXb|Xu*3p)!$gGY*7rLojrX`xbqB*M?; zy!H8(4xQ$1!Nu9eWN*!eO+SkDPf_bFkJ9;?QHrNhFzZ&o8s+{#t1Fg5!UhA`+s89< zRg(d&ht8QnqP6z)W= z#Ea>;+zoQv{wfFId9_?^-sbae5C#QrWR5WLBOm5+Jbbp)6UFgFlPQ@&m;^ZdY5SUY z9Aqr2@Myan0%_!>8wi4_ZDQ%#XL4ZYnRjnL(<*ci z*1PPetf7#wi_p(RnVRCevWk_pUVLj1eTJ2~S*O-jVLE6>zh98p<9fM_$iFv193CDX z&ud(#HAUImwTS6kWjXt9*p#s#3}>qP3ilz-&B9oE#uQA(5e|`IGGdf{w+R{sozX?g z_S-6x6WS9GCE!uG7b<1r)U$lc_v@9I!s7FqIKTC3K+>j#b8}tqg5?5Tpb*?Jz7Nx zJzwRiv>uk@t0yB+=mzzU1oOnTd>P#u4V^kL^v)};l|7@(aB9mb-n2oRx$~a39=3mh z2q}M-Qqyy!P`=@BHXNMYt8Uo88DnmiK^GKF-(q~my^ETAhsNZd_4XTpiN)044g$#P zVedV%DsLM5$_*eZS^!z~JikK0g>i)w=O<4>odl=1QCW>R_a1^Yt6XB2tZkn&oA!K6 zO^QV8Ct$Z>@iq;olTYG1GKHA=dXNfu9FrT3Gjka^x7WTw?9-mNy5)ar*4s9NQf+hh z-u0+aK`s^X@=o&uu;dP5vrHLv#Ks3wRGOK|%D+zIBruz@M`*IYem&V>S6L-P)qPl9 zwnX_+2hS7&5-Hw{8SQ-Z7|j*iw0DeX)tQ32(sI@3Xl*cm*hq8EgOQ{{_2s-O7UwcA zA{TQ#MG`?bh=ei_74P+|q+INBzy7(oI@d60u1lrZ-nH`e1ry~Brz|YbaM?+9|N7y| z+G?6{e(JFSH~D;gY?17Z8D%1y&EtHl3$KqpH&=OcJvk`lc%to@!u4Yl^)4LFdp!OP zu15*_QO03u-ly-U_I=@Dsb6Z}Q;qQ?7T`a?YzDx5R*6$(KYA80nNbCEGNc}Kr;@=l z!0Ln^KW}PaDDA;<{StJV7vxb>C7purqh2cFE}LqF_y|o|TRjO?laf+jj+TYk#=TpK zSJNB^-S%+=iGbJiYTx+Uml%SLpTbPG0!eri;rbpY{p|SceYj_DEB{0G=JRXQYG3Zh4axmqzM+3lCkd8t zTE09_LBdhfr^7#xekt1)$4J~CO~p8n$_IV%;_(TXQ4~^95pot+|HbLz5Jy2j$8F)7 z>m;D!fGdhhJ{%|;b_XB5Lp{5k1`jqu)&QU*seDh5>VS^dztAI27^mGSB4~Kmr%szA ztBP|qc0?)MRbAO{-@?rFjC)>YnnN~UkA9T&Eva4>rPqdt&D}yPX20UnK}8lyh!XAh zd8(Y#H&Jc{Uv6|EfdXP>ebS#)xAd{O`LfnNreI&IQX~MEt3b=}=@zQ9rl+2pG@Y;r{v>GSAI9h&pz}{Q?p$jNrcALwHtXAI@QpgN%4GvW# zz>&iIc@p)0aL1|wHkUgtShi1z(Mb434xYk}lx7jz4>F5!jTLFV=hr_|xg#Fu(=Nxh zOadS_!#%{_`uwjD8=Q_lvM?MDMq3F&BWhO|6hx@?CfN<+eLms98R&-EJ~dj1;Yh_| zIw%U+WLwaweEDM#{&Rjf0+zebZE23U6NTnb|6t32$e2d4uelrmFww%7EMAL7CwqnJ z#Vw23&la|IpkR+ylzj4(R%kUU-{2`_O9hw?rgq@^8nK%U-nP+#Q+e&a6Z-O7&tPNG zsF0tJ)lmeUQ!Zl;35;&Tr$L&jmK+CknLnG{bn`R%0I0m9re$QaxAk_J|NtV$d#{>w%qesd+ zYP9CB3@z2}hCthXZ@Dx8Q1$;AcjJ8~UjMBvHu z&3Yzkh4gfDd0!D)9-fJ5o_T-~#&ddwA|d~t6Pf~C`fIi}+Hy|}7MH_n>#eYNi^Kkd za|XREy}3G14nls%x6%n18ubPtb=67(0izb8A=quPRy^Md#c?b(n&n)%xv<2>cli{X zecUV2$xBK2-7wB}Z~Q7ZhCt^7L=FhSm(GdYR&a@|7U3V|E=K4+_>*b|su$Z|yxwcz z_k_>WBu&7Ingsm-_H)%XqGu)goo<6n^lQU+WB2{@xA#+4cc^qP=wEwLAOPm^JHqSK z`XsP;wffr`z9O{CWvri1Qp{Y4KN>xJ&IM)jy|Xeux@>;DcAp0)-2}jDACp5K>F91{ zSS4X=lsjS_uJ#6%88#`8pTA*LVIfRlF;%=->5jxK=C}6iPhw9OuO0wTCU85=jBIyZ zo>+Va-4>cUJXj+Y>rxvdmbn zkB=-NjwN7a1G@b~AMKRH{j=uuU5kP57kPS_*uhV}g!qYvFD>{5*%oRKTRQQrqvpum zK2*+?VZM{&71)^o2zXS>2R?UHl@bN9{udojeEDy-9UQN(A91es6q=+r;W4Q|o`EEw zV&4S#`@ifcr=ZRH0`lpZ$t+8ZWG3=X-ft_`uKqfbDOhwy_{359j_1cN7I?p7h}rDM z|LK#+0~!FEZ56!gPai(bA*({K9C2X^C*%q6bU#a%-%CBe+N)os{Kya#y(Sl)#vKBC zw3h$k)#ZGufcHaAEL)Y&*_O43tC~+VOV}nH;<-Fl26otU{ZCq8V_&-A+cIolCM1qe$=YGGF3E>C&c z6%SGHv9L7ItDrq+J$RjNl44Yw1oKpx6a04JTUI_2Yq`qq)QJVHMm*{de(0bPIoI{X zH)k;34-REUv0e=_qTVUAy{zA~^tTClHYQhbzPR+YStSDIm@)uI^ z1V=a3=C#@ZNHHo3EJQ=MnftaQ`MP{#?y+l8vv=#wTgT1C_sUAT@_ffpZg*-UR&WgA z#|rIJEW!Ej`DHaHYqVJs316NvFs5Y-#nM3{x%-2#&Ck>zwT!Bv{dc5Qq17R=*gB%(128>sC>dxZPuJDJb!t#y zbVpZ95oG7b(d^%($XJ9HP2EbUHW4v!=cMn5rQ+x=#aIMO>rD~e^M{)U1#Eya5r)v< zaRB9d=pDY8t$$;Tg?0mFDjzB~9}^&v`ZPe4TRxQzAod&KXR{8K5?7Y2&OTJ~Lg=<$ z*u(<029IeG1y4^`6thoXg;WlTEny?nH9e*ZKNbuAK(oYuaX0ve5c{xm?XZ0v>Ht-6 zsQn^D9kd{5qVSZs{3^je%cNhs0BxFyJ}4TUyz6SOxir=8qRz&<+wZ1)+kEOcAy2WQ z%GHH=SSFlT+NjRDqriz;wJww!An)dL3oM~{9N)g%w4*zA?y;g0@(0c~))~x9v3(=| zSVckghSk~^yI3nz3xdz-(22(7uq*;_UE8U>C#T!9*|DcRpg|ZSE_(zbo=Rnb2;2+$ zrtKm6Ar?VlxD$?`oY#XeT&sfl7@{MPoCNk^7Qq~!PFBqO-Z3X9XZ&9FtL!i41Y1PS zHeKWTP7%%#%+nP+XMB;V^1*M0HX#IxpTNwYry{z|@Es+P z-sT2ERZ+CulhCBzg`bFZ#rB6zP)jK1O@#5p*T~RsflO>+xd#)M`BR!(YL=I<3≷ z8@1YdPY)6*+ZqBBehUp(_yQ!bHw#ft;qaJ1*J;MiOHDCb{)XFuv?hLpU99q^U`vZ= zFqN+h(o$$nxwa8ab>3j;&dJUF>hQycxmgk&Nr*hcRJkjeTv}ruyWZ=$T|*e1;~;In zKyyt00e#0%J4%T!pd`L-3{Fk2YO`MFBF#oAzO*L?;F;M1mHfcYU2AifnmL!9kOrRb zc-}zEE#Iol*oAYiLmJ?mkgF`{PT6>WgH*py<}3Dex@BTk+E!CUa5LLm z`)b}t(4|E8(^cJ8;pv}jV_Uh@)a+{BY5yp-V)vz%;!eN$&#?$|pBFS-K7F+DmdP*( zZNlX|3#CM-$sgdZg*z!LH3WpAeVXNYYbMJHA5fC26Pj7XV{`jcFDj;3KUWSXcsz&` zHW5z_iEC+qon74{i>l)NJ~I+@{zs-+el$7xDDE4?foinWlCSZ1OcT6fpg7H(LfSjm z8J_gc-Z*(Q5FJvWu10_;!n=IsQ)M}0V6AQehg0{w){ZdobI}OfMX)+wlu98RqzxQ zwL6xLfI+{>pGrP;y&3x1ref0@R@tdaCa;G@$iw-z1~BmOUFX?Z0KR{b%Ii9cllWyQ zDo@W1^vYGtk`H)@mf~tU zod(rZh*3LU08;?^;2}^6{$bAOJOQX%a$`v~ba)bx zq01(QD48ptA~M{GvP2k1vDH!)opb*{oPK9{`R4}$)Bi)uY$D-#`2QxE)b^w5@8uv4X9GNRTK*JE*h!P#O9A2go$Pn#~SkNlOzpvJa0@v@x ztfn$_%uKIu&UBFpZc%{ETNakkmG2dT`BV{Cj%-?h;v909um0Lclm035@6cCgih|Ed z+^dY}C!B{c?|nZezy|S)@2A|(6PPNdrG=*Vgvkcaci=)_P@>xtAOY+{@04?7@=XFa ze`Tyx@@ZWkNW9-xk3)6SDb0C7M>6Pg^Lk!B2|^`mVXQEH^=;936WUcnBi_7P>0+oG z3?lQ0rBj#g004V_eI$n@0fBPF?L{BdG>N;^MqCbkeA;9 z`(|dcwChn(OdmVFW)%{BqU-zwiTDD5^t%(ts7wYD0BM0l97!;xY1`LEEKF>AjNTS# z*sxW#5LA!KL{*YZ^L14w%in1y@oC*xGqXKCgB=7M=s%s#k8Ox2ib*uGOK9+ad&8V-?qeh zD2;N29k}s9iCHCK;Z$TecnvR{cgl=f$G~T%>c!+BHhg3!?2yy z%y8+u=|n!Qr2C=AGWhGES1Ho4vz)DizVDm;DN8lijNN!wM<|yH;quy~!|qEn^$Hig z97t<^kc`AxFt1dl<9b9V6_MJ=G~s|Nv+&HtT6~-5&6BiBt88{cPR~vf0*<0K8*TP{ z26xXFf0Qx7;LwF2-G@{cf$pLDQB*Y+ z7~S!>CGO4P_SiH#*3!u#PTOAgvp^}f2D%}Bf-r5;^-IcRK0X+louPKm!@IPD`Q5Nz zl+QDOs3edkT;KwXnklgp+c)Qy6OqN_=3{J8&%yqJ@QF-_$9e?5Z-IL0d(oy|m3NcP zHl^I&$MFYX(Rx2yOz7HNMjp?=ooO$YGaO}v%@b7;WWw!y-?YAKi55auBkHkYUBA-iP2w%S-kKqk z`M6hy0-Se~FrbciIB#wjM@<;sdp5i|AWUE$6*~QXf?01?bruNa zJ^S6a{&PL}spuDuhNoV+*%GObR|;tST)&f1$^Iy#qD~IgdO^E*%v1{) zB^gg5y!^>^*@JOt(g&FOm%A%Oa<qX3Ts0~?o(QfJ+h`ecoD*G)J(Z0`5i6S`9LYBqqaT=nV?(`uEJtEuDs(Zdw?bdi9 zky(;`zA~V7)r^;BPQ{Xv51th1R%pTE4L?@?A^HPK;fsvxyZ&`T9y_>*G+wm|t+E-G zG(@Qhl1`TkT81E&syZE1(|i9fKyQP9&DNGH+3vK?ZPlJrcj)dUIvt&yfB>0<2?;=l zEnuG;bPNpNOO%<>*vWF9@3)Qaqs;7xj2N7kXt+gC0oM)g<8n^3`v$_cH(Kd#&N-3d zhEJX)lk{s>DlO!fSU3Uejc^>Qv>+ilS3Y(AD12vOef?dJa!z5kRk;TpKj?MuY8a>I z=|?1}ooUa|w;{K-7GD*te7|0Vgfk7mAV$-HqA6_4udRn;cQh*8V%+#?7D2t8{}Z|k z*Ac>#C^ME78LzG%6ZVR`teQ>6QowuDOg%W{YpGc|8lJa9>?~ft-6@sd*e+S)&(>## zR{EXFO4#=&-1kv83oCsRNBCIm28`w{yYqLE56_m0*!}ZV8_Ttbu@As|@KfbZLAAP* zGbP3>XvqTJaw(L(m#gj<@x?L~EcU6q%H$Q=}c;WBsnoy&ab62Kt?dg_D7f^}J#Aee+iFk0KB!*WaZ+mO}bVzQ=K zz=PNwbeI>keQXlP4M{9}=hpoP&f6<#190A;79*NeI>;l0nmlJ|=^`@qlJ636{3#cc zX?Z(R2=xwYsJ?!CB3nwG$03IC;KOYDt?KfF}%-W)cuy%^>A@} zlI6|Cp>bt>aPiLZ#&G6K5S0$6H^Z#{?WIp6-{DH{-4vrRlxb0Y^!ua@T3i6LfGo&qbZQw@R@ZQLz@Q~wU13$VdyXYLBsSBu=C}HV^#I_6!$lZ9H zd@*J%(ua>A<`XJ6>Y4v%3AKj+(%8}q573fC8_)NpXuu9p>NTLBPU^fnOA@wHZzH}q zUhA;mg(z?opFKC6E1!`s4t;d-P~BRjptQkueg0wPMa{i%BzCymlL?v0H-z6l_e`RY z{#+HEem@~a|7t=4eFCG?)6;LcM2ooMLGnC{S7n&CQ^z<{|L_8we-%VNA@m1doh{6E zL;LXs8Ro6MDAH}D6?9>CIMq=p)WaMQeMGtLCarh81!dzO82H)rn^2$rI;L6ZBbf!P`KA)64z)I~I1!=R35j6)JBgUoCd^5b$&V6u3n2IdRMwRS6Jf*=)w;)XW&mi8oSv6i3F0P6fGgcwqs*LW^_H1H9F?SfP2W)rppD;32h}wo_O;yV zLSMg;1u?mg4X#?)%r?Bg_thyi31z)q-qgamCr)B0n~Q*dQ##hyib@b@Z5W1h{+1je z7>5@I-*2bD;-R>S1+6FFVfp)i7hgd#CJW;<{_;4XcXG_jiKx|;7Qu8e|>n(>`sYIua{$j)7sjqQXlgrP7E-hFH{)SYSErvUpSm( zT>mG`RXpGUm(j-TKODHFeHs$)uI3uu3;r_)uI=JElMJB%oR?Rw9f%ZNJc3wlK{(u? zty%E@z=B(+F+E#jT(9*-ElWYqfrz|jdlmw%+jI?R;oOxLVU6xCT^GA`_B+@Bc#S|! zt7H#Kcd}47e0j%jr}yln(fiJObslF8miKeceQT7S1DMOdpQeg80N+FkBc@*-<)Ey8D`qir z&XLpQNanR8{P$j4=k2K=%Snfqhgpc5rh^$|pDgoB69bqa6w;IAUv-+DQ8L9){ph|u zTV94a6ALS|?_fTWzk9Scx>aE!t1dlTGIK2*z&Tu##A+3o=9O9;JAh?Ri>z6`s+LQ6 zeZ!b{mB`}4Uof7R-P-$^tm|O^vvAF5u~}6eu_L@P<=xwSWy+4JQ^2PywD43^afBxA zVk)yserd1yPE43X-2nj!waM?(R|OatopzT@v8UAQCY5zP%p!>Ia=cbx@+q zq-QsU*ey@cY){w2d%B&q&w0MHR%X$UE14C6jZ>;Q8x+`l;+i8aq|m-kI=C*eZ?^dDML&0s zJqMyl&OVdV6!IHZv*2r2`@A3a+mK_r@X9raZByOa#1w-{H==+{YA}FVCu)yeII$Rf z@!8B5S_6(~VT}6|W%)uJsm>XV`oNDVq+`@73|FLZy4r%!`m3o2ncqh@sMU$wlTn$* zD$5RhwkygrjRHqJfF)t?OjW8>h~^0EMJIf2X(_ZV)$h8#I^*xlxSQ!CE>>${xDcmS zsNqq{{_+xH=n)5xjqe5>$Jj4ezI>;(%&yPt9jH?~^-+UH{-*-S>28l~J*xwVZOR>< z_D};7r_4k;wEds&jlH&PjIP=b5e3E1ynVdW#O|c~s;#t3;+k;>z_WNU7H(8x4whsO zp#;Y{TK7g?X33n)Rh-(fVO|av*T^kwl_9iWC6Erwfcrc`FK(xClfvm?dMcj%!f!z& zo!;@!)ja>4-)`38XqscQ!6c-rGWWkQ?u&nHI-oC9&7hx`fNu7TmsiL069-X72Ablx zY{$x~Wv6lOldqMUk3P_7W9RQEEw#S~cAT*n^vXPMUXmDLLUEDj^(F8@FLj2h33Rby zs+7v19El++n)(v^^S-!ogY+2&11fD@6@`k^#uT)^^F}bM*-!zP0_3!1lQe2ylNZ!e z;XOBNt|pB-No0MN>Ia}gzRkKZg~6+K$8Jrs$XH=!x?gEeQ z<`rA$z_csk-6^>gN;z&3v~URiK{G;M!$#k{w+%VIUF>k+YgcYE+F_tiZCvoc3p6Oi*4E(n#F#54q=TM%`)@ZpW@g*!d zObY)j35`Ek1!S5QE!od@-GhI&d{XSyBx0&xR+e;;ZaG1|KSoQymtxn;&TXws1+*~ zYoVNc@*W`MihL@Hlzhq)z*p~*pY3Vi%_1lsPAJrcx-&9JCgv5wSnn8eECb%2FhTlL zeydnL#2(NxK9kvZ-W_f`7mn|9apa}g`)K8Y%r#b;-Rh0*17-us8TmBs_f^H(dHRyY zgL*YZUgPDihPR;177N%K!hs16__($o>Ha794DJ7(gloA%n1)_yd?c34@2+Uo@U>~C%N#M`4+?HPIqCng zfICuRDXm@vgo6iGXBHOCwS|U93)K}WVxIw_6+{Dr4D&Wvu4UJpvsrg}D>2ZtU9U_$ z-C&_s59~rjtKIp!BxGc#Fm4&)7*90DylWX^+ z&0HQ;Gni`dwQ8XbF^A3U*SlTg2uZQ~TCeoGsO=xroZrZ;;7@Y<(?e{#a!5g^+oa_Q z{=JKM&5qr2*5r18P&1X?eRXg%!#zP0jJAqO;+0ntJ^6TTk>a_HPqizL$zQvOnU()p z+I`dwhr%2JG-8Gk%df4rYu;0^%tX=Wu7D>~GKAq0U7|t?trAiqv(4>O?gAd2*BE0So#FH-L3a6? zlsvmZgWNrX!fouJ!>!3zkw(38dVn;^p|Mh-rwLy<~=-F_d3?8H+s@}JK` zpQrF=`znkG`(|6FlLqyrcQ_7gJs{`BqSins@pxG}B`;GbB5W!wDRlqzng8nPQ@uhM z5-_^Yn2@vGL*r+E1&sk;w0@Q!oV3spOs*`W;w)S zB}8X1g@-^^tLYsCu#<0kt%O)&y4g}vXV|}YAre+t)YLKrjxZS0h-oLn1YWvnX$W#rX zM68>Q!hu+h;(K19iNpl2*m6BbFqXn*^WGo)9my6(_%Fk(Zg6cb8&Xc;gp7I(E%QD% zpFAd`B&v^YCJVNP-BF{6Cr9#_Km-0@uE$N~tT;BvKM zTBw%>JLq79vRltu6CW*gMU2J=q7fC9oE&QUCbC&1b=hB?rk&S_DtEh+Ho*%kcywUg zc?71nb3k&i@qCN&@ni8G0V2LmakeTT;^+IXbOH~WYkC}#{O?`Mtlr(>dpmu}d^n>8 zS4E8lE(T{L0MevteMVs=pAl!+p1rhFNy9QSSjWq-w@DOtq z#U<_)mxp)!w>T)@brf4`vyjmFLmE`l!T*_KSrkc-`O&{I9_u^q1_OBrgVVk=0~?zN zSiKNcQd;f0H_1!1T9vrGL1FD^n4OCN+mC17F;yv2!OND$R%Ovt&bbY(SQ~gb`elV$ zzv<~}UrIy@Pt{V$pg@=lFzXj(W7lz>!%%SNtFm>Y8>y~*>VApqOV?`77RC&tDN94g zjvh!F@~x?A0VW{b;Z_~}m#FKA?UxTUqkRg$vTQ;ABKeC0_&4tKZ~LB}>~Ns}k!9yx zeq!vc{&SK|$Y+n6=JdKSc2*L-a7PP%!N7o8;S>0BX5B{oW289dhf)Q_o9nFxF2Ipo zWG*k%_79%@OVX8OGy8wavpY?9rVG3RQSRV$>rP&z>S%&`drnC%p;P_fTU-vFo?HUj z*us7Ww9c0gEmJ7kBaJck3`Kg;`(?({a>twBU3v{txcU=K4}6K1ANW%#+&VZnvrMZZd4 zG855?j?Vn17Mj&`WlL0cA(%s-Ka}VwrLMEf9dx=a5Zaeek#}pq-2GmSr26x!EWy`I zZPV^;nUp%~`?&R3seXv{jC%pvS+zCn=dNjK*sSsu9q=F%&$8d?pE;XJwttg~+wvmY zNPGK{xVSzyDjF8)l*!x--?h4)To!2#k49BnaNH?@23U6~Ws??i(@YDq9RiY(41MCz zzHg5BH{ZcJ=`&j>{d=w0=r-kz*HoEu7CI|HE^FLb)iOFAukBjVs;y^)fNa?@sk>7X#W z7{~Lav#~Tn1EO7rEdJ2yBTe}OFpH;_u@!} zG*bAVmE&MKSb}Y?KEfvZHD`a1{k#7t{#uSqzxb_E(*YTuS*G8kM@ITr2Ck_`38H@W znh7?Pk{D&AD4NbC`o$B#udPeA&;e-1Sg(!pzeBdhp9cIIeSKX7l89YU%~OyJz#j%> zY%0Ft)Ui+vaYW0}OfQ@B4&tgXjgMPswAOjdSfX9Zzj|Az06QL^IzCnFE^xTQ_%_hG zgwy*rx$c-R$kOK8+UxX~>2P%?xKFdU`GAd=$qsfP?e<|rstyEbYGg}AV##$}whS;B zE}|wEH%7i#_p_*Z@*JA+z&w_(ECOdR4I~}w)}2yq{EDOhbXH-0DrN<6&A0$A=tGp! zcWY*h!x>;@#)dd1d0xiljrXAaWjh2YhHHPSLF=DPuQ^mEE{8Oj^Q_|D(rfKg?-EYB zzsV?(u-R<7vs6cWoN7FaW_NN`(m?#f3LTXY!8GShkSS~ldc7GD{oHVj(Yz;-usl>c zl_wJIMp0PdWRtC|+a&>s>FR7pbuEIJMUQ^te=kh?iyKkcW~VMRr%>(`)kZ zG3tpr_4ZTB@_<}~Q=sM-kHiPrLG?uEiZDOAz00~b4!q`?Hwb-ujTa*SAWAXtW{=Sj z?kfBkA4uk(dEPFnO1uH%eRvnN?L`U7*F1`)Eo!eMloJ9ImhY7F{+hFu9IxD9QOq>4 zItdLS%t;`0jqP@v30B=w09rUsUL)uuO>L&QEY=@u=idDY+7fblAUC=@wbel^KE^Pb zYuo#ZFHye!R=`%ET9^^*wgMb5K%tJG?2)vb(I6ZDu&v0euA_d4AP<}g;*T+SMR1hS=&W_9f>WN$`uMY_NO0Y_=-EH(kmX zw4+}qW@L9z&#p>5BVB@cmLm4|pF`*YkM>&Qn|xQ78s{{}mKwz9=Y0;~DKo2$V75&j zZ<$}BxI)h6(LdeK>`q`=5<>oKg&ovtAR7vJajRd~w}lbiLGzp4^@|jY}I6!1#4!tiOU0fn|=58JBI^|`0AGFYfq7(*r56(tyGGNCo9Vd>33Gvv;5QF`fc&&-y zDx(LaFnI&Kx0tVXF?z&u1CJ`US9+JUpxJCq-?TZY+E@h~;s9Y19uZDmi88HwMG)7= z+f&||7nE<4U>B_6KJ5B9jzMcHDRt@NF9$*2AKPr@1K67}lVIL%bJ@=;wTK=?6}>CX zmW-zCWc>OeWp-OBSFHj`5p7b9n~qn;O4o|pC}F}69u3G(hgFxv({)5=J3oAggXuIT z6dRu{oi=d2EkEM(o61`ckEeVK1q&n+-@hhcX?JR4)~1k#VN4dlDTcGteOB7VUcynE zy7tSlYd;}#s3%1l0|&d{maQkfL^t9Gb4w%9Ti8R`0$Tp zFlt?QV(b&3FrnqPirVgOCy3neb4@EP&wRo8hyxsx0{GY-V_*oOKSKv6a&lpH-dvp> zjO$kyzZ4<#RlHA)_f+T?VxI%aO^@$&^iT|!nI#rs5{5TG)DsAJ1f%hvw_IOoSNkf| z3TfUSi8E?3!g|*vRI9Xl*Zn1KN)LdX_f}!RB)NaYV>JpVX>40oyF2CZ0LZ+y0Kq<{ zr8Tov?aL*9lI4)pAXil1!KaMz10imMHB+kb@>tDUE@jF$45_n-$p4iM~T^kE2ZGx`?iC4 zDP*2X6T*nX;@HN;kop?+q(3!_$Fq;h@&_SrJrxx6ebnV3;<~23Yh`_Q?8vd5>h5%@ zeMikQqwFN$Bz!|V15a{%t#_wqR4r%EOwn;&?b%3c#DpL$eORaQ^iB|#E7GqTB_UX>F{q;E$9yhfdV63zZ)(4I$D&11plGEqq-$_@|HyUdnqy6}YcnyGpu(F`4sn8y zEs>d26b`F>Q8dbwG}?9X-)rpJJSv2{F4BApYKQ^80)^pXSAt?D5P_5!>@ESt21dYQAS|2nNkDE>X;eq9 zfk@q(Xq~o3;AD$$oowT{1x&$sHv8jDtb-+c&3>nAN}3yr_)uGy{#R+GU!?3g?wh{MzEi?NElr< zU-^#EX_m)tRawtmGLy1P#nS7(!Y|Y(=AoEUCM1}VkHWxQzQDo%!V{g-9U*YLelhK) z$9KHnHnbL_r&MG67>~=X$f!S2H5j{x(Xgx0>~MW5-%p)ONqO)coH8C;fLpOyP)prO zQa`oZ%+zQRpVx7(0 zUjB3iJ|H{M(OsV78B{nvH@pmsOlk0ceTuK}gE5!r9wOT56+e~Gve)Z~s;a%(#YYK% zIVV5AL!Lr+*Clbg>W|hHJl9k8e3^X~v*^7OwmI{u!fW$QY;f9rFadKG5rgOd^>m3R zcfUC&lpT0sWFEVcQars8k{2i{IT|Ym4(Qt(#_wx9xhzMC6_wZbUmDIa|5x&bkrG`l zhC{VKyjV8WhJ+roh4sTFKv7O%$g0DFH$@rU!OJ5G;X9+G$^9BGT5E4j?`) zDXH35B}nsqBbdhrF+N)gP4!Q3<{!5CC9&eMcx?D~_1QD7R=*p$pL|IEmUx9X(v1Tz z6sEVD5tCj%5a`T~TJdo-sn|kozDdo#CW>1{qHj4}NX{63@R@W8Nvpf@_Q&>8n1Ibh zG3Kcnu|Lxqrd)LS1R?Tn6TgEe*yuR5)Kg3G;aYBFg<-Ca@yHqU0Yp1Hk6dOiNwM@N zm%+P}VHptAuHWum&2dolL9jCrIp_SW)ku zS#kEbfL3qk%k5AEt+4uhD%56G4l!8qY#(kR=%Hy8P#0dccl273#9b?0luW(&F8L$KrJ_Yd&Z1b;ZuoP zX5VX`!!8FVVtLozCo5s zGhVs8!u`1Zj(yO(S2^=z;8?i&lS93P(<6cLfL+`C8gjQWC z2ewCSbYFW)nLJ*%4CZZd<6I4LxA?yFSrZlo=p-a_UPw&kVT!%Ke^9T-WdUMaAAusR zS0I1SnQZAv?X^r8z8`$dLWEYgTP9sz&MUv21QR4fl&4my*Y~H`wp(kk@aHmuoq^*9 ziXx5V7a}R=8)0Uxo&_HmUT%^CUn(c}8|~hnTM5TyZ3q(yG~~1uf#7+{k%p3Sn^L>9 zjj_AAJ;y1`F=~8TmYDOkw;+kBys;Lqn-dX&S!P2cbc&q1>*J@rM{fypT!eH4$^D23 z;BXWvX}2MSTh*cmoeZ14jTBkHRDLiXnAn7@5Qi@W4DJ7&??`ybqFU}$OpA;xyG>34PBFg%4yh5A;23} z_5@wh$0pGrB}vVqX~V&#X*BlMx+n1V-_Xy%K=04`UN3Y2=A-pc#bXwW_<@d9gMbEA zY*@g(0f=Skge$N?)Zl-Cw4RYB_gek|BczJrL-r(DKPw#WDR_BQxH*_R=dVjCcc|fq zD_P^U!4BIStGX@yh1K)9z=d|wihVNiLeze#M0J8j$m{98RKJqL+wPILsI%0s*FUZm z%v#3nxKU%AySQ=`U!Z+|c4%B+aEu$N*UF&11yp}M1u3|l9@X#z(LBp}EEa-var76rY%Yj&K ze%Jcl@8P1hvg1%6TUqa!CjA?RIj|2~gA9vPnFG9a4}EJ+(dce5p>pS-9KWFNR3M<5tf>G*Ep09gC%;;zRI zl_N-Y^IlQQ;qHSyDtCk7c0g@-If5{+4}Z^j4z!%=X?_1D-lCDvqj}bZ?`dC2PnG<( z=5W4?=+zAJ6tmQswK-ao?$1^2P-zk%R zT;>2QV|#3^#HT*qe~S5BXWOx5o(1XLZ@A!i?KP{Ywg#rD*`jVd7(DuJQ>bfgHpc;2 z?okXBz*@~iRx@#nO8WYP4{oC4X0x~Ar^A0Ki!>J-vgCF5eaR0GE@d<#Gu`U%Fk@Hq zq(H1HE%%jtPD$5ehzdR=-v3EJ0N$4-ksR3RrGGEjk11XPPw0!TL9dX~&-|D_k(yQ& z7r0DU1$*9-)E2B*qPCyIC-k4btqCR!t2vzygt|5DXr2Nj6#6@pw?$sfxQx7xf1Y@s zNReKlB{J>B|2qNL1FEt|eH}9DIbpwc99d_!hF>qA$TO=nKjl4pNAC$hgX6%`MZ1VL$y$p%LLi8u?9K)C<>%;&JcRVnfIcjhZi~U{%6Rfx~t|3Uy zc*Nh%V5m78mDasKsP56~D-&lJn*4S-1#o7vEK0GlXb9n^&Nt8@RKt$5%07I+KwUmXe%MI3MmCjMNAr#_N z&GYc2vY_Ppfr9dSt-BS{<&|&7M261!O$`eMn%ac7PM930x-R6%0sgUOhr=%gWM_372c{W%4uuu z1bSLJFu%)Trt``H{nRg)p)m`d&2*VcOmCqF@=Y<9e>SBP7(G*-*F=&AeUSJ%AljJ0)n{!x zM98MLOvZyoWd9zmY^Ne~A6n(|l0oLe@;=6)~0M0%ML$&}2sFbHkCx#EA+S2((aD*KC+5}+KU{mYIyqVQ7b z)i!e@}@@Q5CCE3J#3;^udIUiJw6(O(=Hee&7qoC^2W3 z*+=KXjG#|{%U5iKU9ErZ@~#zGv1wp|>b?eupEfYHyu-%BnUWXZSyxAJiI3QMHXcwD zpNuDInT;z2VJ}iVN^J!{0He+6#VQr&*JV_j?%=Sl^W<2D);r~&0$wIZ{r6;qQV#V?49nC1NR4Q8f<(z#Uoy>koUpdWGk z#`JgW{1^q@7P)yNtnAD~j0fwO2t$9U(W*Tl2Ze97+Jl2AS9b~R0f`y&{4a2mf(YJg z*ssFFD+r1BGtg5t7Msk~4LbbS7f3|JJTC}d; + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
COUNTRY_NAMETOTAL_SALES
0FRANCE8960205391.8314
1INDONESIA8942575217.6237
2RUSSIA8925318302.0710
3MOZAMBIQUE8892984086.0088
4JORDAN8873862546.7864
+ + + +![plot2](plot2.png) + + + AI-generated follow-up questions: + What are the total sales for each country? + Which country has the highest number of customers? + What are the total sales for each customer? + What are the top 3 customers with the highest sales? + What is the total revenue for each customer and country? + What are the total sales for each customer in Europe? + What are the top 10 countries with the highest total order amount? + Which country has the highest number of failed orders? + What are the top 3 customers with the highest sales? + + + +```python +vn.ask("Who are the top 2 biggest customers in each region?") +``` + + with ranked_customers as (SELECT c.c_name as customer_name, + r.r_name as region_name, + row_number() OVER (PARTITION BY r.r_name + ORDER BY sum(l.l_quantity * l.l_extendedprice) desc) as rank + FROM snowflake_sample_data.tpch_sf1.customer c join snowflake_sample_data.tpch_sf1.orders o + ON c.c_custkey = o.o_custkey join snowflake_sample_data.tpch_sf1.lineitem l + ON o.o_orderkey = l.l_orderkey join snowflake_sample_data.tpch_sf1.nation n + ON c.c_nationkey = n.n_nationkey join snowflake_sample_data.tpch_sf1.region r + ON n.n_regionkey = r.r_regionkey + GROUP BY customer_name, region_name) + SELECT region_name, + customer_name + FROM ranked_customers + WHERE rank <= 2; + + + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
REGION_NAMECUSTOMER_NAME
0ASIACustomer#000102022
1ASIACustomer#000148750
2AMERICACustomer#000095257
3AMERICACustomer#000091630
4EUROPECustomer#000028180
5EUROPECustomer#000053809
6MIDDLE EASTCustomer#000143500
7MIDDLE EASTCustomer#000103834
8AFRICACustomer#000131113
9AFRICACustomer#000134380
+
+ + +![plot3](plot3.png) + + + AI-generated follow-up questions: + - What are the total sales for each customer in Europe? + - What are the total sales for each customer in the United States? + - How many customers are there in each country? + - What is the total revenue for each customer in each country? + - Which customers have the highest total sales? + - Which customers have the highest number of orders? + - Which customers have the highest returned parts gross value in Africa? + - What are the total sales for the top 3 customers? + - What are the total sales for the top 10 customers? + - What is the total sales for each customer? + + +# Run as a Web App +If you would like to use this functionality in a web app, you can deploy the Vanna Streamlit app and use your own secrets. See [this repo](https://github.com/vanna-ai/vanna-streamlit). diff --git a/docs/notebooks/vn-full.md b/docs/notebooks/vn-full.md deleted file mode 100644 index 44448c6b..00000000 --- a/docs/notebooks/vn-full.md +++ /dev/null @@ -1,217 +0,0 @@ -![Vanna AI](https://img.vanna.ai/vanna-full.svg) - -This notebook will help you unleash the full potential of AI-powered data analysis at your organization. We'll go through how to "bulk train" Vanna and generate SQL, tables, charts, and explanations, all with minimal code and effort. For more about Vanna, see our [intro blog post](https://medium.com/vanna-ai/intro-to-vanna-a-python-based-ai-sql-co-pilot-218c25b19c6a). - -[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/vanna-ai/vanna-py/blob/main/notebooks/vn-full.ipynb) - -[![Open in GitHub](https://img.vanna.ai/github.svg)](https://github.com/vanna-ai/vanna-py/blob/main/notebooks/vn-full.ipynb) - -# Install Vanna -First we install Vanna from [PyPI](https://pypi.org/project/vanna/) and import it. -Here, we'll also install the Snowflake connector. If you're using a different database, you'll need to install the appropriate connector. - - -```python -%pip install vanna -%pip install snowflake-connector-python -``` - - -```python -import vanna as vn -import snowflake.connector -import pandas as pd -``` - -# Login -Creating a login and getting an API key is as easy as entering your email (after you run this cell) and entering the code we send to you. Check your Spam folder if you don't see the code. - - -```python -api_key = vn.get_api_key('my-email@example.com') -vn.set_api_key(api_key) -``` - -# Set your Dataset -You need to choose a globally unique dataset name. Try using your company name or another unique string. All data from dataset are isolated - there's no leakage. - - -```python -vn.set_dataset('my-dataset') # Enter your dataset name here. This is a globally unique identifier for your dataset. -``` - -# Add Training Data -Instead of adding question / SQL pairs one by one, let's load a bunch in from a JSON, all at once. You'll make your own JSON that represents your data. You can see the [format here](https://github.com/vanna-ai/vanna-training-queries/blob/main/tpc-h/questions.json) - - -```python -training_json = "https://raw.githubusercontent.com/vanna-ai/vanna-training-queries/main/tpc-h/questions.json" #@param {type:"string"} - -for _, row in pd.read_json(training_json).iterrows(): - vn.train(question=row.question, sql=row.sql) -``` - -# Set Database Connection -These details are only referenced within your notebook. These database credentials are never sent to Vanna's severs. - - -```python -vn.connect_to_snowflake(account='my-account', username='my-username', password='my-password', database='my-database') -``` - -# Get Results -This gets the SQL, gets the dataframe, and prints them both. Note that we use your connection string to execute the SQL on your warehouse from your local instance. Your connection nor your data gets sent to Vanna's servers. For more info on how Vanna works, [see this post](https://medium.com/vanna-ai/how-vanna-works-how-to-train-it-data-security-8d8f2008042). - - -```python -sql, df, fig, followup_questions = vn.ask() -``` - - Enter a question: What are the top 10 customers by sales? - - - SELECT c.c_name as customer_name, - sum(l.l_extendedprice * (1 - l.l_discount)) as total_sales - FROM snowflake_sample_data.tpch_sf1.lineitem l join snowflake_sample_data.tpch_sf1.orders o - ON l.l_orderkey = o.o_orderkey join snowflake_sample_data.tpch_sf1.customer c - ON o.o_custkey = c.c_custkey - GROUP BY customer_name - ORDER BY total_sales desc limit 10; - - - -
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
CUSTOMER_NAMETOTAL_SALES
0Customer#0001435006757566.0218
1Customer#0000952576294115.3340
2Customer#0000871156184649.5176
3Customer#0001311136080943.8305
4Customer#0001343806075141.9635
5Customer#0001038346059770.3232
6Customer#0000696826057779.0348
7Customer#0001020226039653.6335
8Customer#0000985876027021.5855
9Customer#0000646605905659.6159
-
- - - display - - - -
- - - AI-generated follow-up questions: - What is the total sales amount for each of the top 10 customers? - Can you provide the details of the transactions for each of the top 10 customers? - Which products did the top 10 customers purchase the most? - What is the average sales amount for all customers? - What is the distribution of sales amounts among all customers? - How does the total sales of the top 10 customers compare to the total sales of the rest of the customers? - Are there any seasonal patterns in the sales of the top 10 customers? - Which regions do the top 10 customers belong to? - What is the percentage contribution of each of the top 10 customers to the total sales? - How have the sales of the top 10 customers changed over time? - - -# Improve Your Training Data -Did everything work well above? If so, improve your training data by adding the question / SQL pair to your organization's model's training data in one line of code. - - -```python -vn.store_sql( - question=my_question, - sql=sql, -) -``` - -# Run as a Web App -If you would like to use this functionality in a web app, you can deploy the Vanna Streamlit app and use your own secrets. See [this repo](https://github.com/vanna-ai/vanna-streamlit). diff --git a/docs/notebooks/vn-starter.md b/docs/notebooks/vn-starter.md deleted file mode 100644 index a4935311..00000000 --- a/docs/notebooks/vn-starter.md +++ /dev/null @@ -1,60 +0,0 @@ -![Vanna AI](https://img.vanna.ai/vanna-starter.svg) - -This notebook takes you through the most simple example of using Vanna. For more about Vanna, see our [intro blog post](https://medium.com/vanna-ai/intro-to-vanna-a-python-based-ai-sql-co-pilot-218c25b19c6a). - -[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/vanna-ai/vanna-py/blob/main/notebooks/vn-starter.ipynb) - -[![Open in GitHub](https://img.vanna.ai/github.svg)](https://github.com/vanna-ai/vanna-py/blob/main/notebooks/vn-starter.ipynb) - -# Install Vanna -First we install Vanna from [PyPI](https://pypi.org/project/vanna/) and import it. - - -```python -%pip install vanna -``` - - -```python -import vanna as vn -``` - -# Login -Creating a login and getting an API key is as easy as entering your email (after you run this cell) and entering the code we send to you. Check your Spam folder if you don't see the code. - - -```python -api_key = vn.get_api_key('my-email@example.com') -vn.set_api_key(api_key) -``` - -# Choose Datasets -We need to choose which datasets we want to use. In this example, we use a demo dataset that every user on Vanna has access to called `demo-tpc-h`. This is the [default TPC dataset](https://www.tpc.org/tpch/) that comes with every installation of Snowflake and represents a small business. [Details about this dataset are here](https://docs.snowflake.com/en/user-guide/sample-data-tpch). The training data for this dataset is [here](https://github.com/vanna-ai/vanna-training-queries/blob/main/tpc-h/questions.json) - - -```python -vn.set_dataset('demo-tpc-h') -``` - -# Ask a Question - - -```python -sql = vn.generate_sql(question='What are the top 10 customers by Sales?') -print(sql) -``` - - SELECT c.c_name as customer_name, - sum(l.l_extendedprice * (1 - l.l_discount)) as total_sales - FROM snowflake_sample_data.tpch_sf1.customer c join snowflake_sample_data.tpch_sf1.orders o - ON c.c_custkey = o.o_custkey join snowflake_sample_data.tpch_sf1.lineitem l - ON o.o_orderkey = l.l_orderkey - GROUP BY customer_name - ORDER BY total_sales desc limit 10; - - -# Want to use Vanna with your own data? - -Get started with [this notebook](https://github.com/vanna-ai/vanna-py/blob/main/notebooks/vn-training.ipynb). - - diff --git a/docs/notebooks/vn-train.md b/docs/notebooks/vn-train.md new file mode 100644 index 00000000..83d1d778 --- /dev/null +++ b/docs/notebooks/vn-train.md @@ -0,0 +1,3 @@ +```python + +``` diff --git a/docs/notebooks/vn-training.md b/docs/notebooks/vn-training.md deleted file mode 100644 index b5f58782..00000000 --- a/docs/notebooks/vn-training.md +++ /dev/null @@ -1,108 +0,0 @@ -![Vanna AI](https://img.vanna.ai/vanna-training.svg) - -This notebook will take you through how to use Vanna on your own data, including training an isolated model for your schema / organization. For more about Vanna, see our [intro blog post](https://medium.com/vanna-ai/intro-to-vanna-a-python-based-ai-sql-co-pilot-218c25b19c6a). - -[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/vanna-ai/vanna-py/blob/main/notebooks/vn-training.ipynb) - -[![Open in GitHub](https://img.vanna.ai/github.svg)](https://github.com/vanna-ai/vanna-py/blob/main/notebooks/vn-training.ipynb) - -# Install Vanna -First we install Vanna from [PyPI](https://pypi.org/project/vanna/) and import it. - - -```python -%pip install vanna -``` - - -```python -import vanna as vn -``` - -# Login -Creating a login and getting an API key is as easy as entering your email (after you run this cell) and entering the code we send to you. Check your Spam folder if you don't see the code. - - -```python -api_key = vn.get_api_key('my-email@example.com') -vn.set_api_key(api_key) -``` - -# Set your Dataset -You need to choose a globally unique organization name. Try using your company name or another unique string. All data from datasets are isolated - there's no leakage. Datasets are private by default. You can add other users to your dataset later. - - -```python -vn.set_dataset('my-dataset') # Enter your dataset name here. This is a globally unique identifier for your dataset. -``` - - Would you like to create dataset 'my-unique-dataset-name'? (y/n): y - What type of database would you like to use? (Snowflake, BigQuery, Postgres, etc.): Postgres - - -# Training -Vanna needs to learn about your schema. Take some prior SQL queries and the questions associated with them and enter them below. The ones we've done reflect a fictitious dataset that you'll want to replace with your own queries and questions. - - -```python -vn.add_sql( - question='What are the top 10 customers?', - sql='SELECT customer_name, sales FROM customers ORDER BY sales desc LIMIT 10' -) -``` - - - - - True - - - - -```python -vn.add_sql( - question='What are the top 10 customers in the US?', - sql="SELECT customer_name, sales FROM customers WHERE country_name = 'UNITED STATES' ORDER BY sales desc LIMIT 10" -) -``` - - - - - True - - - - -```python -vn.add_sql( - question='How many regions are there?', - sql='SELECT DISTINCT region FROM customers' -) -``` - - - - - True - - - -# Generate SQL -Ok, now we are ready to ask plain English questions and see whether Vanna can answer them! Once you get the SQL back, you can execute in Jupyter or on another interface. - - -```python -sql = vn.generate_sql('How many customers are there in each region?') -print(sql) -``` - - SELECT region, - count(distinct customer_id) as num_customers - FROM customers - GROUP BY region - - -# Read the [Full Documentation Reference](https://docs.vanna.ai) for More Functionality - -So that was cool, but there's more. Vanna can actually execute the SQL (in a privacy / security safe manner), generate explanations for what the SQL is doing, and even generate visualizations. [Click here](https://github.com/vanna-ai/vanna-py/blob/main/notebooks/vn-full.ipynb) for the next notebook that goes through this. diff --git a/mkdocs.yml b/mkdocs.yml index 0cd02030..03600339 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -7,9 +7,8 @@ nav: - Onboarding: onboarding.md - Adding Vanna to your Workflow: workflow.md - Use in Notebooks: - - Getting Started: notebooks/vn-starter.md - - Training Vanna: notebooks/vn-training.md - - Full Functionality: notebooks/vn-full.md + - Asking Questions: notebooks/vn-ask.md + - Training Vanna: notebooks/vn-train.md - Other Ways to Use Vanna: - Use with Streamlit: streamlit.md - Databases: @@ -32,20 +31,6 @@ extra_css: - stylesheets/extra.css extra: homepage: https://vanna.ai - consent: - title: Cookie consent - description: >- - We use cookies to recognize your repeated visits and preferences, as well - as to measure the effectiveness of our documentation and whether users - find what they're searching for. With your consent, you're helping us to - make our documentation better. - cookies: - analytics: - name: Google Analytics - checked: false - analytics: - provider: google - property: G-1YZ053XQJ4 markdown_extensions: - pymdownx.superfences: custom_fences: @@ -56,5 +41,4 @@ plugins: - search - mkdocstrings copyright: > - Copyright © 2023 Vanna.AI – - Change cookie settings + Copyright © 2023 Vanna.AI \ No newline at end of file diff --git a/notebooks/vn-ask.ipynb b/notebooks/vn-ask.ipynb new file mode 100644 index 00000000..cb15cff8 --- /dev/null +++ b/notebooks/vn-ask.ipynb @@ -0,0 +1,3345 @@ +{ + "cells": [ + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "![Vanna AI](https://img.vanna.ai/vanna-full.svg)\n", + "\n", + "This notebook will help you unleash the full potential of AI-powered data analysis at your organization. We'll go through how to \"bulk train\" Vanna and generate SQL, tables, charts, and explanations, all with minimal code and effort. For more about Vanna, see our [intro blog post](https://medium.com/vanna-ai/intro-to-vanna-a-python-based-ai-sql-co-pilot-218c25b19c6a).\n", + "\n", + "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/vanna-ai/vanna-py/blob/main/notebooks/vn-full.ipynb)\n", + "\n", + "[![Open in GitHub](https://img.vanna.ai/github.svg)](https://github.com/vanna-ai/vanna-py/blob/main/notebooks/vn-full.ipynb)\n", + "\n", + "# Install Vanna\n", + "First we install Vanna from [PyPI](https://pypi.org/project/vanna/) and import it.\n", + "Here, we'll also install the Snowflake connector. If you're using a different database, you'll need to install the appropriate connector." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%pip install vanna\n", + "%pip install snowflake-connector-python" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import vanna as vn\n", + "import snowflake.connector\n", + "import pandas as pd" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Login\n", + "Creating a login and getting an API key is as easy as entering your email (after you run this cell) and entering the code we send to you. Check your Spam folder if you don't see the code." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "api_key = vn.get_api_key('my-email@example.com')\n", + "vn.set_api_key(api_key)" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Set your Model\n", + "You need to choose a globally unique model name. Try using your company name or another unique string. All data from models are isolated - there's no leakage." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "vn.set_model('my-model') # Enter your dataset name here. This is a globally unique identifier for your dataset." + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Set Database Connection\n", + "These details are only referenced within your notebook. These database credentials are never sent to Vanna's severs." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "vn.connect_to_snowflake(account='my-account', username='my-username', password='my-password', database='my-database')" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Get Results\n", + "This gets the SQL, gets the dataframe, and prints them both. Note that we use your connection string to execute the SQL on your warehouse from your local instance. Your connection nor your data gets sent to Vanna's servers. For more info on how Vanna works, [see this post](https://medium.com/vanna-ai/how-vanna-works-how-to-train-it-data-security-8d8f2008042)." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "SELECT c.c_name as customer_name,\n", + " sum(l.l_extendedprice * (1 - l.l_discount)) as total_sales\n", + "FROM snowflake_sample_data.tpch_sf1.lineitem l join snowflake_sample_data.tpch_sf1.orders o\n", + " ON l.l_orderkey = o.o_orderkey join snowflake_sample_data.tpch_sf1.customer c\n", + " ON o.o_custkey = c.c_custkey\n", + "GROUP BY customer_name\n", + "ORDER BY total_sales desc limit 10;\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CUSTOMER_NAMETOTAL_SALES
0Customer#0001435006757566.0218
1Customer#0000952576294115.3340
2Customer#0000871156184649.5176
3Customer#0001311136080943.8305
4Customer#0001343806075141.9635
5Customer#0001038346059770.3232
6Customer#0000696826057779.0348
7Customer#0001020226039653.6335
8Customer#0000985876027021.5855
9Customer#0000646605905659.6159
\n", + "
" + ], + "text/plain": [ + " CUSTOMER_NAME TOTAL_SALES\n", + "0 Customer#000143500 6757566.0218\n", + "1 Customer#000095257 6294115.3340\n", + "2 Customer#000087115 6184649.5176\n", + "3 Customer#000131113 6080943.8305\n", + "4 Customer#000134380 6075141.9635\n", + "5 Customer#000103834 6059770.3232\n", + "6 Customer#000069682 6057779.0348\n", + "7 Customer#000102022 6039653.6335\n", + "8 Customer#000098587 6027021.5855\n", + "9 Customer#000064660 5905659.6159" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + " \n", + " " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "type": "bar", + "x": [ + "Customer#000143500", + "Customer#000095257", + "Customer#000087115", + "Customer#000131113", + "Customer#000134380", + "Customer#000103834", + "Customer#000069682", + "Customer#000102022", + "Customer#000098587", + "Customer#000064660" + ], + "y": [ + 6757566.0218, + 6294115.334, + 6184649.5176, + 6080943.8305, + 6075141.9635, + 6059770.3232, + 6057779.0348, + 6039653.6335, + 6027021.5855, + 5905659.6159 + ] + } + ], + "layout": { + "autosize": true, + "template": { + "data": { + "bar": [ + { + "error_x": { + "color": "#f2f5fa" + }, + "error_y": { + "color": "#f2f5fa" + }, + "marker": { + "line": { + "color": "rgb(17,17,17)", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "bar" + } + ], + "barpolar": [ + { + "marker": { + "line": { + "color": "rgb(17,17,17)", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "barpolar" + } + ], + "carpet": [ + { + "aaxis": { + "endlinecolor": "#A2B1C6", + "gridcolor": "#506784", + "linecolor": "#506784", + "minorgridcolor": "#506784", + "startlinecolor": "#A2B1C6" + }, + "baxis": { + "endlinecolor": "#A2B1C6", + "gridcolor": "#506784", + "linecolor": "#506784", + "minorgridcolor": "#506784", + "startlinecolor": "#A2B1C6" + }, + "type": "carpet" + } + ], + "choropleth": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "choropleth" + } + ], + "contour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "contour" + } + ], + "contourcarpet": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "contourcarpet" + } + ], + "heatmap": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmap" + } + ], + "heatmapgl": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmapgl" + } + ], + "histogram": [ + { + "marker": { + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "histogram" + } + ], + "histogram2d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2d" + } + ], + "histogram2dcontour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2dcontour" + } + ], + "mesh3d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "mesh3d" + } + ], + "parcoords": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "parcoords" + } + ], + "pie": [ + { + "automargin": true, + "type": "pie" + } + ], + "scatter": [ + { + "marker": { + "line": { + "color": "#283442" + } + }, + "type": "scatter" + } + ], + "scatter3d": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatter3d" + } + ], + "scattercarpet": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattercarpet" + } + ], + "scattergeo": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergeo" + } + ], + "scattergl": [ + { + "marker": { + "line": { + "color": "#283442" + } + }, + "type": "scattergl" + } + ], + "scattermapbox": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattermapbox" + } + ], + "scatterpolar": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolar" + } + ], + "scatterpolargl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolargl" + } + ], + "scatterternary": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterternary" + } + ], + "surface": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "surface" + } + ], + "table": [ + { + "cells": { + "fill": { + "color": "#506784" + }, + "line": { + "color": "rgb(17,17,17)" + } + }, + "header": { + "fill": { + "color": "#2a3f5f" + }, + "line": { + "color": "rgb(17,17,17)" + } + }, + "type": "table" + } + ] + }, + "layout": { + "annotationdefaults": { + "arrowcolor": "#f2f5fa", + "arrowhead": 0, + "arrowwidth": 1 + }, + "autotypenumbers": "strict", + "coloraxis": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "colorscale": { + "diverging": [ + [ + 0, + "#8e0152" + ], + [ + 0.1, + "#c51b7d" + ], + [ + 0.2, + "#de77ae" + ], + [ + 0.3, + "#f1b6da" + ], + [ + 0.4, + "#fde0ef" + ], + [ + 0.5, + "#f7f7f7" + ], + [ + 0.6, + "#e6f5d0" + ], + [ + 0.7, + "#b8e186" + ], + [ + 0.8, + "#7fbc41" + ], + [ + 0.9, + "#4d9221" + ], + [ + 1, + "#276419" + ] + ], + "sequential": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "sequentialminus": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ] + }, + "colorway": [ + "#636efa", + "#EF553B", + "#00cc96", + "#ab63fa", + "#FFA15A", + "#19d3f3", + "#FF6692", + "#B6E880", + "#FF97FF", + "#FECB52" + ], + "font": { + "color": "#f2f5fa" + }, + "geo": { + "bgcolor": "rgb(17,17,17)", + "lakecolor": "rgb(17,17,17)", + "landcolor": "rgb(17,17,17)", + "showlakes": true, + "showland": true, + "subunitcolor": "#506784" + }, + "hoverlabel": { + "align": "left" + }, + "hovermode": "closest", + "mapbox": { + "style": "dark" + }, + "paper_bgcolor": "rgb(17,17,17)", + "plot_bgcolor": "rgb(17,17,17)", + "polar": { + "angularaxis": { + "gridcolor": "#506784", + "linecolor": "#506784", + "ticks": "" + }, + "bgcolor": "rgb(17,17,17)", + "radialaxis": { + "gridcolor": "#506784", + "linecolor": "#506784", + "ticks": "" + } + }, + "scene": { + "xaxis": { + "backgroundcolor": "rgb(17,17,17)", + "gridcolor": "#506784", + "gridwidth": 2, + "linecolor": "#506784", + "showbackground": true, + "ticks": "", + "zerolinecolor": "#C8D4E3" + }, + "yaxis": { + "backgroundcolor": "rgb(17,17,17)", + "gridcolor": "#506784", + "gridwidth": 2, + "linecolor": "#506784", + "showbackground": true, + "ticks": "", + "zerolinecolor": "#C8D4E3" + }, + "zaxis": { + "backgroundcolor": "rgb(17,17,17)", + "gridcolor": "#506784", + "gridwidth": 2, + "linecolor": "#506784", + "showbackground": true, + "ticks": "", + "zerolinecolor": "#C8D4E3" + } + }, + "shapedefaults": { + "line": { + "color": "#f2f5fa" + } + }, + "sliderdefaults": { + "bgcolor": "#C8D4E3", + "bordercolor": "rgb(17,17,17)", + "borderwidth": 1, + "tickwidth": 0 + }, + "ternary": { + "aaxis": { + "gridcolor": "#506784", + "linecolor": "#506784", + "ticks": "" + }, + "baxis": { + "gridcolor": "#506784", + "linecolor": "#506784", + "ticks": "" + }, + "bgcolor": "rgb(17,17,17)", + "caxis": { + "gridcolor": "#506784", + "linecolor": "#506784", + "ticks": "" + } + }, + "title": { + "x": 0.05 + }, + "updatemenudefaults": { + "bgcolor": "#506784", + "borderwidth": 0 + }, + "xaxis": { + "automargin": true, + "gridcolor": "#283442", + "linecolor": "#506784", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "#283442", + "zerolinewidth": 2 + }, + "yaxis": { + "automargin": true, + "gridcolor": "#283442", + "linecolor": "#506784", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "#283442", + "zerolinewidth": 2 + } + } + }, + "xaxis": { + "autorange": true, + "range": [ + -0.5, + 9.5 + ], + "type": "category" + }, + "yaxis": { + "autorange": true, + "range": [ + 0, + 7113227.391368421 + ], + "type": "linear" + } + } + }, + "text/html": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "AI-generated follow-up questions:\n", + "What are the countries of the top 10 customers by sales?\n", + "How many orders did each of the top 10 customers place?\n", + "What is the average sales amount per customer in the top 10?\n", + "Can you provide a breakdown of the sales by country for the top 10 customers?\n", + "Who are the top 10 customers in terms of returned parts gross value?\n", + "What are the total sales for each customer in the top 3?\n", + "Can you provide a breakdown of the sales by region for the top customers?\n", + "How many customers are there in each country?\n", + "What is the total revenue for the top 5 countries?\n", + "Can you provide a breakdown of the sales by customer for the top 5 countries?\n" + ] + } + ], + "source": [ + "vn.ask(\"What are the top 10 customers by sales?\")" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "SELECT n.n_name as country_name,\n", + " sum(l.l_extendedprice * (1 - l.l_discount)) as total_sales\n", + "FROM snowflake_sample_data.tpch_sf1.nation n join snowflake_sample_data.tpch_sf1.customer c\n", + " ON n.n_nationkey = c.c_nationkey join snowflake_sample_data.tpch_sf1.orders o\n", + " ON c.c_custkey = o.o_custkey join snowflake_sample_data.tpch_sf1.lineitem l\n", + " ON o.o_orderkey = l.l_orderkey\n", + "GROUP BY country_name\n", + "ORDER BY total_sales desc limit 5;\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
COUNTRY_NAMETOTAL_SALES
0FRANCE8960205391.8314
1INDONESIA8942575217.6237
2RUSSIA8925318302.0710
3MOZAMBIQUE8892984086.0088
4JORDAN8873862546.7864
\n", + "
" + ], + "text/plain": [ + " COUNTRY_NAME TOTAL_SALES\n", + "0 FRANCE 8960205391.8314\n", + "1 INDONESIA 8942575217.6237\n", + "2 RUSSIA 8925318302.0710\n", + "3 MOZAMBIQUE 8892984086.0088\n", + "4 JORDAN 8873862546.7864" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "marker": { + "color": [ + 8960205391.8314, + 8942575217.6237, + 8925318302.071, + 8892984086.0088, + 8873862546.7864 + ], + "colorscale": [ + [ + 0, + "#440154" + ], + [ + 0.1111111111111111, + "#482878" + ], + [ + 0.2222222222222222, + "#3e4989" + ], + [ + 0.3333333333333333, + "#31688e" + ], + [ + 0.4444444444444444, + "#26828e" + ], + [ + 0.5555555555555556, + "#1f9e89" + ], + [ + 0.6666666666666666, + "#35b779" + ], + [ + 0.7777777777777778, + "#6ece58" + ], + [ + 0.8888888888888888, + "#b5de2b" + ], + [ + 1, + "#fde725" + ] + ] + }, + "text": [ + 8960205391.8314, + 8942575217.6237, + 8925318302.071, + 8892984086.0088, + 8873862546.7864 + ], + "textposition": "auto", + "type": "bar", + "x": [ + "FRANCE", + "INDONESIA", + "RUSSIA", + "MOZAMBIQUE", + "JORDAN" + ], + "y": [ + 8960205391.8314, + 8942575217.6237, + 8925318302.071, + 8892984086.0088, + 8873862546.7864 + ] + } + ], + "layout": { + "autosize": true, + "template": { + "data": { + "bar": [ + { + "error_x": { + "color": "#f2f5fa" + }, + "error_y": { + "color": "#f2f5fa" + }, + "marker": { + "line": { + "color": "rgb(17,17,17)", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "bar" + } + ], + "barpolar": [ + { + "marker": { + "line": { + "color": "rgb(17,17,17)", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "barpolar" + } + ], + "carpet": [ + { + "aaxis": { + "endlinecolor": "#A2B1C6", + "gridcolor": "#506784", + "linecolor": "#506784", + "minorgridcolor": "#506784", + "startlinecolor": "#A2B1C6" + }, + "baxis": { + "endlinecolor": "#A2B1C6", + "gridcolor": "#506784", + "linecolor": "#506784", + "minorgridcolor": "#506784", + "startlinecolor": "#A2B1C6" + }, + "type": "carpet" + } + ], + "choropleth": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "choropleth" + } + ], + "contour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "contour" + } + ], + "contourcarpet": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "contourcarpet" + } + ], + "heatmap": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmap" + } + ], + "heatmapgl": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmapgl" + } + ], + "histogram": [ + { + "marker": { + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "histogram" + } + ], + "histogram2d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2d" + } + ], + "histogram2dcontour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2dcontour" + } + ], + "mesh3d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "mesh3d" + } + ], + "parcoords": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "parcoords" + } + ], + "pie": [ + { + "automargin": true, + "type": "pie" + } + ], + "scatter": [ + { + "marker": { + "line": { + "color": "#283442" + } + }, + "type": "scatter" + } + ], + "scatter3d": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatter3d" + } + ], + "scattercarpet": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattercarpet" + } + ], + "scattergeo": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergeo" + } + ], + "scattergl": [ + { + "marker": { + "line": { + "color": "#283442" + } + }, + "type": "scattergl" + } + ], + "scattermapbox": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattermapbox" + } + ], + "scatterpolar": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolar" + } + ], + "scatterpolargl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolargl" + } + ], + "scatterternary": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterternary" + } + ], + "surface": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "surface" + } + ], + "table": [ + { + "cells": { + "fill": { + "color": "#506784" + }, + "line": { + "color": "rgb(17,17,17)" + } + }, + "header": { + "fill": { + "color": "#2a3f5f" + }, + "line": { + "color": "rgb(17,17,17)" + } + }, + "type": "table" + } + ] + }, + "layout": { + "annotationdefaults": { + "arrowcolor": "#f2f5fa", + "arrowhead": 0, + "arrowwidth": 1 + }, + "autotypenumbers": "strict", + "coloraxis": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "colorscale": { + "diverging": [ + [ + 0, + "#8e0152" + ], + [ + 0.1, + "#c51b7d" + ], + [ + 0.2, + "#de77ae" + ], + [ + 0.3, + "#f1b6da" + ], + [ + 0.4, + "#fde0ef" + ], + [ + 0.5, + "#f7f7f7" + ], + [ + 0.6, + "#e6f5d0" + ], + [ + 0.7, + "#b8e186" + ], + [ + 0.8, + "#7fbc41" + ], + [ + 0.9, + "#4d9221" + ], + [ + 1, + "#276419" + ] + ], + "sequential": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "sequentialminus": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ] + }, + "colorway": [ + "#636efa", + "#EF553B", + "#00cc96", + "#ab63fa", + "#FFA15A", + "#19d3f3", + "#FF6692", + "#B6E880", + "#FF97FF", + "#FECB52" + ], + "font": { + "color": "#f2f5fa" + }, + "geo": { + "bgcolor": "rgb(17,17,17)", + "lakecolor": "rgb(17,17,17)", + "landcolor": "rgb(17,17,17)", + "showlakes": true, + "showland": true, + "subunitcolor": "#506784" + }, + "hoverlabel": { + "align": "left" + }, + "hovermode": "closest", + "mapbox": { + "style": "dark" + }, + "paper_bgcolor": "rgb(17,17,17)", + "plot_bgcolor": "rgb(17,17,17)", + "polar": { + "angularaxis": { + "gridcolor": "#506784", + "linecolor": "#506784", + "ticks": "" + }, + "bgcolor": "rgb(17,17,17)", + "radialaxis": { + "gridcolor": "#506784", + "linecolor": "#506784", + "ticks": "" + } + }, + "scene": { + "xaxis": { + "backgroundcolor": "rgb(17,17,17)", + "gridcolor": "#506784", + "gridwidth": 2, + "linecolor": "#506784", + "showbackground": true, + "ticks": "", + "zerolinecolor": "#C8D4E3" + }, + "yaxis": { + "backgroundcolor": "rgb(17,17,17)", + "gridcolor": "#506784", + "gridwidth": 2, + "linecolor": "#506784", + "showbackground": true, + "ticks": "", + "zerolinecolor": "#C8D4E3" + }, + "zaxis": { + "backgroundcolor": "rgb(17,17,17)", + "gridcolor": "#506784", + "gridwidth": 2, + "linecolor": "#506784", + "showbackground": true, + "ticks": "", + "zerolinecolor": "#C8D4E3" + } + }, + "shapedefaults": { + "line": { + "color": "#f2f5fa" + } + }, + "sliderdefaults": { + "bgcolor": "#C8D4E3", + "bordercolor": "rgb(17,17,17)", + "borderwidth": 1, + "tickwidth": 0 + }, + "ternary": { + "aaxis": { + "gridcolor": "#506784", + "linecolor": "#506784", + "ticks": "" + }, + "baxis": { + "gridcolor": "#506784", + "linecolor": "#506784", + "ticks": "" + }, + "bgcolor": "rgb(17,17,17)", + "caxis": { + "gridcolor": "#506784", + "linecolor": "#506784", + "ticks": "" + } + }, + "title": { + "x": 0.05 + }, + "updatemenudefaults": { + "bgcolor": "#506784", + "borderwidth": 0 + }, + "xaxis": { + "automargin": true, + "gridcolor": "#283442", + "linecolor": "#506784", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "#283442", + "zerolinewidth": 2 + }, + "yaxis": { + "automargin": true, + "gridcolor": "#283442", + "linecolor": "#506784", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "#283442", + "zerolinewidth": 2 + } + } + }, + "title": { + "text": "Total Sales by Country" + }, + "xaxis": { + "autorange": true, + "range": [ + -0.5, + 4.5 + ], + "title": { + "text": "Country" + }, + "type": "category" + }, + "yaxis": { + "autorange": true, + "range": [ + 0, + 9431795149.296211 + ], + "title": { + "text": "Total Sales" + }, + "type": "linear" + } + } + }, + "text/html": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "AI-generated follow-up questions:\n", + "What are the total sales for each country?\n", + "Which country has the highest number of customers?\n", + "What are the total sales for each customer?\n", + "What are the top 3 customers with the highest sales?\n", + "What is the total revenue for each customer and country?\n", + "What are the total sales for each customer in Europe?\n", + "What are the top 10 countries with the highest total order amount?\n", + "Which country has the highest number of failed orders?\n", + "What are the top 3 customers with the highest sales?\n" + ] + } + ], + "source": [ + "vn.ask(\"Which 5 countries have the highest sales?\")" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "with ranked_customers as (SELECT c.c_name as customer_name,\n", + " r.r_name as region_name,\n", + " row_number() OVER (PARTITION BY r.r_name\n", + " ORDER BY sum(l.l_quantity * l.l_extendedprice) desc) as rank\n", + " FROM snowflake_sample_data.tpch_sf1.customer c join snowflake_sample_data.tpch_sf1.orders o\n", + " ON c.c_custkey = o.o_custkey join snowflake_sample_data.tpch_sf1.lineitem l\n", + " ON o.o_orderkey = l.l_orderkey join snowflake_sample_data.tpch_sf1.nation n\n", + " ON c.c_nationkey = n.n_nationkey join snowflake_sample_data.tpch_sf1.region r\n", + " ON n.n_regionkey = r.r_regionkey\n", + " GROUP BY customer_name, region_name)\n", + "SELECT region_name,\n", + " customer_name\n", + "FROM ranked_customers\n", + "WHERE rank <= 2;\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
REGION_NAMECUSTOMER_NAME
0ASIACustomer#000102022
1ASIACustomer#000148750
2AMERICACustomer#000095257
3AMERICACustomer#000091630
4EUROPECustomer#000028180
5EUROPECustomer#000053809
6MIDDLE EASTCustomer#000143500
7MIDDLE EASTCustomer#000103834
8AFRICACustomer#000131113
9AFRICACustomer#000134380
\n", + "
" + ], + "text/plain": [ + " REGION_NAME CUSTOMER_NAME\n", + "0 ASIA Customer#000102022\n", + "1 ASIA Customer#000148750\n", + "2 AMERICA Customer#000095257\n", + "3 AMERICA Customer#000091630\n", + "4 EUROPE Customer#000028180\n", + "5 EUROPE Customer#000053809\n", + "6 MIDDLE EAST Customer#000143500\n", + "7 MIDDLE EAST Customer#000103834\n", + "8 AFRICA Customer#000131113\n", + "9 AFRICA Customer#000134380" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "type": "bar", + "x": [ + "ASIA", + "ASIA", + "AMERICA", + "AMERICA", + "EUROPE", + "EUROPE", + "MIDDLE EAST", + "MIDDLE EAST", + "AFRICA", + "AFRICA" + ], + "y": [ + "Customer#000102022", + "Customer#000148750", + "Customer#000095257", + "Customer#000091630", + "Customer#000028180", + "Customer#000053809", + "Customer#000143500", + "Customer#000103834", + "Customer#000131113", + "Customer#000134380" + ] + } + ], + "layout": { + "autosize": true, + "template": { + "data": { + "bar": [ + { + "error_x": { + "color": "#f2f5fa" + }, + "error_y": { + "color": "#f2f5fa" + }, + "marker": { + "line": { + "color": "rgb(17,17,17)", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "bar" + } + ], + "barpolar": [ + { + "marker": { + "line": { + "color": "rgb(17,17,17)", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "barpolar" + } + ], + "carpet": [ + { + "aaxis": { + "endlinecolor": "#A2B1C6", + "gridcolor": "#506784", + "linecolor": "#506784", + "minorgridcolor": "#506784", + "startlinecolor": "#A2B1C6" + }, + "baxis": { + "endlinecolor": "#A2B1C6", + "gridcolor": "#506784", + "linecolor": "#506784", + "minorgridcolor": "#506784", + "startlinecolor": "#A2B1C6" + }, + "type": "carpet" + } + ], + "choropleth": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "choropleth" + } + ], + "contour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "contour" + } + ], + "contourcarpet": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "contourcarpet" + } + ], + "heatmap": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmap" + } + ], + "heatmapgl": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmapgl" + } + ], + "histogram": [ + { + "marker": { + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "histogram" + } + ], + "histogram2d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2d" + } + ], + "histogram2dcontour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2dcontour" + } + ], + "mesh3d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "mesh3d" + } + ], + "parcoords": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "parcoords" + } + ], + "pie": [ + { + "automargin": true, + "type": "pie" + } + ], + "scatter": [ + { + "marker": { + "line": { + "color": "#283442" + } + }, + "type": "scatter" + } + ], + "scatter3d": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatter3d" + } + ], + "scattercarpet": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattercarpet" + } + ], + "scattergeo": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergeo" + } + ], + "scattergl": [ + { + "marker": { + "line": { + "color": "#283442" + } + }, + "type": "scattergl" + } + ], + "scattermapbox": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattermapbox" + } + ], + "scatterpolar": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolar" + } + ], + "scatterpolargl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolargl" + } + ], + "scatterternary": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterternary" + } + ], + "surface": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "surface" + } + ], + "table": [ + { + "cells": { + "fill": { + "color": "#506784" + }, + "line": { + "color": "rgb(17,17,17)" + } + }, + "header": { + "fill": { + "color": "#2a3f5f" + }, + "line": { + "color": "rgb(17,17,17)" + } + }, + "type": "table" + } + ] + }, + "layout": { + "annotationdefaults": { + "arrowcolor": "#f2f5fa", + "arrowhead": 0, + "arrowwidth": 1 + }, + "autotypenumbers": "strict", + "coloraxis": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "colorscale": { + "diverging": [ + [ + 0, + "#8e0152" + ], + [ + 0.1, + "#c51b7d" + ], + [ + 0.2, + "#de77ae" + ], + [ + 0.3, + "#f1b6da" + ], + [ + 0.4, + "#fde0ef" + ], + [ + 0.5, + "#f7f7f7" + ], + [ + 0.6, + "#e6f5d0" + ], + [ + 0.7, + "#b8e186" + ], + [ + 0.8, + "#7fbc41" + ], + [ + 0.9, + "#4d9221" + ], + [ + 1, + "#276419" + ] + ], + "sequential": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "sequentialminus": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ] + }, + "colorway": [ + "#636efa", + "#EF553B", + "#00cc96", + "#ab63fa", + "#FFA15A", + "#19d3f3", + "#FF6692", + "#B6E880", + "#FF97FF", + "#FECB52" + ], + "font": { + "color": "#f2f5fa" + }, + "geo": { + "bgcolor": "rgb(17,17,17)", + "lakecolor": "rgb(17,17,17)", + "landcolor": "rgb(17,17,17)", + "showlakes": true, + "showland": true, + "subunitcolor": "#506784" + }, + "hoverlabel": { + "align": "left" + }, + "hovermode": "closest", + "mapbox": { + "style": "dark" + }, + "paper_bgcolor": "rgb(17,17,17)", + "plot_bgcolor": "rgb(17,17,17)", + "polar": { + "angularaxis": { + "gridcolor": "#506784", + "linecolor": "#506784", + "ticks": "" + }, + "bgcolor": "rgb(17,17,17)", + "radialaxis": { + "gridcolor": "#506784", + "linecolor": "#506784", + "ticks": "" + } + }, + "scene": { + "xaxis": { + "backgroundcolor": "rgb(17,17,17)", + "gridcolor": "#506784", + "gridwidth": 2, + "linecolor": "#506784", + "showbackground": true, + "ticks": "", + "zerolinecolor": "#C8D4E3" + }, + "yaxis": { + "backgroundcolor": "rgb(17,17,17)", + "gridcolor": "#506784", + "gridwidth": 2, + "linecolor": "#506784", + "showbackground": true, + "ticks": "", + "zerolinecolor": "#C8D4E3" + }, + "zaxis": { + "backgroundcolor": "rgb(17,17,17)", + "gridcolor": "#506784", + "gridwidth": 2, + "linecolor": "#506784", + "showbackground": true, + "ticks": "", + "zerolinecolor": "#C8D4E3" + } + }, + "shapedefaults": { + "line": { + "color": "#f2f5fa" + } + }, + "sliderdefaults": { + "bgcolor": "#C8D4E3", + "bordercolor": "rgb(17,17,17)", + "borderwidth": 1, + "tickwidth": 0 + }, + "ternary": { + "aaxis": { + "gridcolor": "#506784", + "linecolor": "#506784", + "ticks": "" + }, + "baxis": { + "gridcolor": "#506784", + "linecolor": "#506784", + "ticks": "" + }, + "bgcolor": "rgb(17,17,17)", + "caxis": { + "gridcolor": "#506784", + "linecolor": "#506784", + "ticks": "" + } + }, + "title": { + "x": 0.05 + }, + "updatemenudefaults": { + "bgcolor": "#506784", + "borderwidth": 0 + }, + "xaxis": { + "automargin": true, + "gridcolor": "#283442", + "linecolor": "#506784", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "#283442", + "zerolinewidth": 2 + }, + "yaxis": { + "automargin": true, + "gridcolor": "#283442", + "linecolor": "#506784", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "#283442", + "zerolinewidth": 2 + } + } + }, + "xaxis": { + "autorange": true, + "range": [ + -0.5, + 4.5 + ], + "type": "category" + }, + "yaxis": { + "autorange": true, + "range": [ + -0.9444444444444444, + 17.944444444444443 + ], + "type": "category" + } + } + }, + "text/html": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "AI-generated follow-up questions:\n", + "- What are the total sales for each customer in Europe?\n", + "- What are the total sales for each customer in the United States?\n", + "- How many customers are there in each country?\n", + "- What is the total revenue for each customer in each country?\n", + "- Which customers have the highest total sales?\n", + "- Which customers have the highest number of orders?\n", + "- Which customers have the highest returned parts gross value in Africa?\n", + "- What are the total sales for the top 3 customers?\n", + "- What are the total sales for the top 10 customers?\n", + "- What is the total sales for each customer?\n" + ] + } + ], + "source": [ + "vn.ask(\"Who are the top 2 biggest customers in each region?\")" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Run as a Web App\n", + "If you would like to use this functionality in a web app, you can deploy the Vanna Streamlit app and use your own secrets. See [this repo](https://github.com/vanna-ai/vanna-streamlit)." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.2" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/notebooks/vn-full.ipynb b/notebooks/vn-full.ipynb deleted file mode 100644 index 3cf7854c..00000000 --- a/notebooks/vn-full.ipynb +++ /dev/null @@ -1,1242 +0,0 @@ -{ - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![Vanna AI](https://img.vanna.ai/vanna-full.svg)\n", - "\n", - "This notebook will help you unleash the full potential of AI-powered data analysis at your organization. We'll go through how to \"bulk train\" Vanna and generate SQL, tables, charts, and explanations, all with minimal code and effort. For more about Vanna, see our [intro blog post](https://medium.com/vanna-ai/intro-to-vanna-a-python-based-ai-sql-co-pilot-218c25b19c6a).\n", - "\n", - "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/vanna-ai/vanna-py/blob/main/notebooks/vn-full.ipynb)\n", - "\n", - "[![Open in GitHub](https://img.vanna.ai/github.svg)](https://github.com/vanna-ai/vanna-py/blob/main/notebooks/vn-full.ipynb)\n", - "\n", - "# Install Vanna\n", - "First we install Vanna from [PyPI](https://pypi.org/project/vanna/) and import it.\n", - "Here, we'll also install the Snowflake connector. If you're using a different database, you'll need to install the appropriate connector." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%pip install vanna\n", - "%pip install snowflake-connector-python" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "import vanna as vn\n", - "import snowflake.connector\n", - "import pandas as pd" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Login\n", - "Creating a login and getting an API key is as easy as entering your email (after you run this cell) and entering the code we send to you. Check your Spam folder if you don't see the code." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "api_key = vn.get_api_key('my-email@example.com')\n", - "vn.set_api_key(api_key)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Set your Model\n", - "You need to choose a globally unique model name. Try using your company name or another unique string. All data from models are isolated - there's no leakage." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "vn.set_model('my-model') # Enter your dataset name here. This is a globally unique identifier for your dataset." - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Add Training Data\n", - "Instead of adding question / SQL pairs one by one, let's load a bunch in from a JSON, all at once. You'll make your own JSON that represents your data. You can see the [format here](https://github.com/vanna-ai/vanna-training-queries/blob/main/tpc-h/questions.json)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "training_json = #@param {type:\"string\"}\n", - "\n", - "for _, row in pd.read_json(training_json).iterrows():\n", - " vn.train(question=row.question, sql=row.sql)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Set Database Connection\n", - "These details are only referenced within your notebook. These database credentials are never sent to Vanna's severs." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "vn.connect_to_snowflake(account='my-account', username='my-username', password='my-password', database='my-database')" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Get Results\n", - "This gets the SQL, gets the dataframe, and prints them both. Note that we use your connection string to execute the SQL on your warehouse from your local instance. Your connection nor your data gets sent to Vanna's servers. For more info on how Vanna works, [see this post](https://medium.com/vanna-ai/how-vanna-works-how-to-train-it-data-security-8d8f2008042)." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Enter a question: What are the top 10 customers by sales?\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "SELECT c.c_name as customer_name,\n", - " sum(l.l_extendedprice * (1 - l.l_discount)) as total_sales\n", - "FROM snowflake_sample_data.tpch_sf1.lineitem l join snowflake_sample_data.tpch_sf1.orders o\n", - " ON l.l_orderkey = o.o_orderkey join snowflake_sample_data.tpch_sf1.customer c\n", - " ON o.o_custkey = c.c_custkey\n", - "GROUP BY customer_name\n", - "ORDER BY total_sales desc limit 10;\n" - ] - }, - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
CUSTOMER_NAMETOTAL_SALES
0Customer#0001435006757566.0218
1Customer#0000952576294115.3340
2Customer#0000871156184649.5176
3Customer#0001311136080943.8305
4Customer#0001343806075141.9635
5Customer#0001038346059770.3232
6Customer#0000696826057779.0348
7Customer#0001020226039653.6335
8Customer#0000985876027021.5855
9Customer#0000646605905659.6159
\n", - "
" - ], - "text/plain": [ - " CUSTOMER_NAME TOTAL_SALES\n", - "0 Customer#000143500 6757566.0218\n", - "1 Customer#000095257 6294115.3340\n", - "2 Customer#000087115 6184649.5176\n", - "3 Customer#000131113 6080943.8305\n", - "4 Customer#000134380 6075141.9635\n", - "5 Customer#000103834 6059770.3232\n", - "6 Customer#000069682 6057779.0348\n", - "7 Customer#000102022 6039653.6335\n", - "8 Customer#000098587 6027021.5855\n", - "9 Customer#000064660 5905659.6159" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "display\n" - ] - }, - { - "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plot.ly" - }, - "data": [ - { - "marker": { - "color": "blue" - }, - "type": "bar", - "x": [ - "Customer#000143500", - "Customer#000095257", - "Customer#000087115", - "Customer#000131113", - "Customer#000134380", - "Customer#000103834", - "Customer#000069682", - "Customer#000102022", - "Customer#000098587", - "Customer#000064660" - ], - "y": [ - 6757566.0218, - 6294115.334, - 6184649.5176, - 6080943.8305, - 6075141.9635, - 6059770.3232, - 6057779.0348, - 6039653.6335, - 6027021.5855, - 5905659.6159 - ] - } - ], - "layout": { - "autosize": true, - "showlegend": false, - "template": { - "data": { - "bar": [ - { - "error_x": { - "color": "#f2f5fa" - }, - "error_y": { - "color": "#f2f5fa" - }, - "marker": { - "line": { - "color": "rgb(17,17,17)", - "width": 0.5 - }, - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "bar" - } - ], - "barpolar": [ - { - "marker": { - "line": { - "color": "rgb(17,17,17)", - "width": 0.5 - }, - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "barpolar" - } - ], - "carpet": [ - { - "aaxis": { - "endlinecolor": "#A2B1C6", - "gridcolor": "#506784", - "linecolor": "#506784", - "minorgridcolor": "#506784", - "startlinecolor": "#A2B1C6" - }, - "baxis": { - "endlinecolor": "#A2B1C6", - "gridcolor": "#506784", - "linecolor": "#506784", - "minorgridcolor": "#506784", - "startlinecolor": "#A2B1C6" - }, - "type": "carpet" - } - ], - "choropleth": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "choropleth" - } - ], - "contour": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "contour" - } - ], - "contourcarpet": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "contourcarpet" - } - ], - "heatmap": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "heatmap" - } - ], - "heatmapgl": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "heatmapgl" - } - ], - "histogram": [ - { - "marker": { - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "histogram" - } - ], - "histogram2d": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "histogram2d" - } - ], - "histogram2dcontour": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "histogram2dcontour" - } - ], - "mesh3d": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "mesh3d" - } - ], - "parcoords": [ - { - "line": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "parcoords" - } - ], - "pie": [ - { - "automargin": true, - "type": "pie" - } - ], - "scatter": [ - { - "marker": { - "line": { - "color": "#283442" - } - }, - "type": "scatter" - } - ], - "scatter3d": [ - { - "line": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatter3d" - } - ], - "scattercarpet": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattercarpet" - } - ], - "scattergeo": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattergeo" - } - ], - "scattergl": [ - { - "marker": { - "line": { - "color": "#283442" - } - }, - "type": "scattergl" - } - ], - "scattermapbox": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattermapbox" - } - ], - "scatterpolar": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterpolar" - } - ], - "scatterpolargl": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterpolargl" - } - ], - "scatterternary": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterternary" - } - ], - "surface": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "surface" - } - ], - "table": [ - { - "cells": { - "fill": { - "color": "#506784" - }, - "line": { - "color": "rgb(17,17,17)" - } - }, - "header": { - "fill": { - "color": "#2a3f5f" - }, - "line": { - "color": "rgb(17,17,17)" - } - }, - "type": "table" - } - ] - }, - "layout": { - "annotationdefaults": { - "arrowcolor": "#f2f5fa", - "arrowhead": 0, - "arrowwidth": 1 - }, - "autotypenumbers": "strict", - "coloraxis": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "colorscale": { - "diverging": [ - [ - 0, - "#8e0152" - ], - [ - 0.1, - "#c51b7d" - ], - [ - 0.2, - "#de77ae" - ], - [ - 0.3, - "#f1b6da" - ], - [ - 0.4, - "#fde0ef" - ], - [ - 0.5, - "#f7f7f7" - ], - [ - 0.6, - "#e6f5d0" - ], - [ - 0.7, - "#b8e186" - ], - [ - 0.8, - "#7fbc41" - ], - [ - 0.9, - "#4d9221" - ], - [ - 1, - "#276419" - ] - ], - "sequential": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "sequentialminus": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ] - }, - "colorway": [ - "#636efa", - "#EF553B", - "#00cc96", - "#ab63fa", - "#FFA15A", - "#19d3f3", - "#FF6692", - "#B6E880", - "#FF97FF", - "#FECB52" - ], - "font": { - "color": "#f2f5fa" - }, - "geo": { - "bgcolor": "rgb(17,17,17)", - "lakecolor": "rgb(17,17,17)", - "landcolor": "rgb(17,17,17)", - "showlakes": true, - "showland": true, - "subunitcolor": "#506784" - }, - "hoverlabel": { - "align": "left" - }, - "hovermode": "closest", - "mapbox": { - "style": "dark" - }, - "paper_bgcolor": "rgb(17,17,17)", - "plot_bgcolor": "rgb(17,17,17)", - "polar": { - "angularaxis": { - "gridcolor": "#506784", - "linecolor": "#506784", - "ticks": "" - }, - "bgcolor": "rgb(17,17,17)", - "radialaxis": { - "gridcolor": "#506784", - "linecolor": "#506784", - "ticks": "" - } - }, - "scene": { - "xaxis": { - "backgroundcolor": "rgb(17,17,17)", - "gridcolor": "#506784", - "gridwidth": 2, - "linecolor": "#506784", - "showbackground": true, - "ticks": "", - "zerolinecolor": "#C8D4E3" - }, - "yaxis": { - "backgroundcolor": "rgb(17,17,17)", - "gridcolor": "#506784", - "gridwidth": 2, - "linecolor": "#506784", - "showbackground": true, - "ticks": "", - "zerolinecolor": "#C8D4E3" - }, - "zaxis": { - "backgroundcolor": "rgb(17,17,17)", - "gridcolor": "#506784", - "gridwidth": 2, - "linecolor": "#506784", - "showbackground": true, - "ticks": "", - "zerolinecolor": "#C8D4E3" - } - }, - "shapedefaults": { - "line": { - "color": "#f2f5fa" - } - }, - "sliderdefaults": { - "bgcolor": "#C8D4E3", - "bordercolor": "rgb(17,17,17)", - "borderwidth": 1, - "tickwidth": 0 - }, - "ternary": { - "aaxis": { - "gridcolor": "#506784", - "linecolor": "#506784", - "ticks": "" - }, - "baxis": { - "gridcolor": "#506784", - "linecolor": "#506784", - "ticks": "" - }, - "bgcolor": "rgb(17,17,17)", - "caxis": { - "gridcolor": "#506784", - "linecolor": "#506784", - "ticks": "" - } - }, - "title": { - "x": 0.05 - }, - "updatemenudefaults": { - "bgcolor": "#506784", - "borderwidth": 0 - }, - "xaxis": { - "automargin": true, - "gridcolor": "#283442", - "linecolor": "#506784", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "#283442", - "zerolinewidth": 2 - }, - "yaxis": { - "automargin": true, - "gridcolor": "#283442", - "linecolor": "#506784", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "#283442", - "zerolinewidth": 2 - } - } - }, - "title": { - "text": "Top 10 Customers by Sales" - }, - "xaxis": { - "autorange": true, - "range": [ - -0.5, - 9.5 - ], - "title": { - "text": "Customer Name" - }, - "type": "category" - }, - "yaxis": { - "autorange": true, - "range": [ - 0, - 7113227.391368421 - ], - "title": { - "text": "Total Sales" - }, - "type": "linear" - } - } - }, - "text/html": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "AI-generated follow-up questions:\n", - "What is the total sales amount for each of the top 10 customers?\n", - "Can you provide the details of the transactions for each of the top 10 customers?\n", - "Which products did the top 10 customers purchase the most?\n", - "What is the average sales amount for all customers?\n", - "What is the distribution of sales amounts among all customers?\n", - "How does the total sales of the top 10 customers compare to the total sales of the rest of the customers?\n", - "Are there any seasonal patterns in the sales of the top 10 customers?\n", - "Which regions do the top 10 customers belong to?\n", - "What is the percentage contribution of each of the top 10 customers to the total sales?\n", - "How have the sales of the top 10 customers changed over time?\n" - ] - } - ], - "source": [ - "vn.ask()" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Improve Your Training Data\n", - "If the SQL ran in the last segment, that question to SQL association is now part of the training set and will be remembered for future queries. If the SQL didn't run, you can try to improve your training data. You can store the actual SQL that should be associated with the question using `vn.add_sql`" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Run as a Web App\n", - "If you would like to use this functionality in a web app, you can deploy the Vanna Streamlit app and use your own secrets. See [this repo](https://github.com/vanna-ai/vanna-streamlit)." - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.2" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/notebooks/vn-starter.ipynb b/notebooks/vn-starter.ipynb deleted file mode 100644 index 0cf16e07..00000000 --- a/notebooks/vn-starter.ipynb +++ /dev/null @@ -1,144 +0,0 @@ -{ - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![Vanna AI](https://img.vanna.ai/vanna-starter.svg)\n", - "\n", - "This notebook takes you through the most simple example of using Vanna. For more about Vanna, see our [intro blog post](https://medium.com/vanna-ai/intro-to-vanna-a-python-based-ai-sql-co-pilot-218c25b19c6a).\n", - "\n", - "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/vanna-ai/vanna-py/blob/main/notebooks/vn-starter.ipynb)\n", - "\n", - "[![Open in GitHub](https://img.vanna.ai/github.svg)](https://github.com/vanna-ai/vanna-py/blob/main/notebooks/vn-starter.ipynb)\n", - "\n", - "# Install Vanna\n", - "First we install Vanna from [PyPI](https://pypi.org/project/vanna/) and import it." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%pip install vanna" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import vanna as vn" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Login\n", - "Creating a login and getting an API key is as easy as entering your email (after you run this cell) and entering the code we send to you. Check your Spam folder if you don't see the code." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "api_key = vn.get_api_key('my-email@example.com')\n", - "vn.set_api_key(api_key)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Choose Model\n", - "We need to choose which model we want to use. In this example, we use a demo model that every user on Vanna has access to called `demo-tpc-h`. This is the [default TPC dataset](https://www.tpc.org/tpch/) that comes with every installation of Snowflake and represents a small business. [Details about this dataset are here](https://docs.snowflake.com/en/user-guide/sample-data-tpch). The training data for this model is [here](https://github.com/vanna-ai/vanna-training-queries/blob/main/tpc-h/questions.json)" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "vn.set_model('demo-tpc-h')" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Ask a Question" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "SELECT c.c_name as customer_name,\n", - " sum(l.l_extendedprice * (1 - l.l_discount)) as total_sales\n", - "FROM snowflake_sample_data.tpch_sf1.customer c join snowflake_sample_data.tpch_sf1.orders o\n", - " ON c.c_custkey = o.o_custkey join snowflake_sample_data.tpch_sf1.lineitem l\n", - " ON o.o_orderkey = l.l_orderkey\n", - "GROUP BY customer_name\n", - "ORDER BY total_sales desc limit 10;\n" - ] - } - ], - "source": [ - "vn.ask(question='What are the top 10 customers by Sales?')" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Want to use Vanna with your own data?\n", - "\n", - "Get started with [this notebook](https://github.com/vanna-ai/vanna-py/blob/main/notebooks/vn-training.ipynb)." - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.2" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/notebooks/vn-train.ipynb b/notebooks/vn-train.ipynb new file mode 100644 index 00000000..a6100842 --- /dev/null +++ b/notebooks/vn-train.ipynb @@ -0,0 +1,19 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "language_info": { + "name": "python" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/notebooks/vn-training.ipynb b/notebooks/vn-training.ipynb deleted file mode 100644 index 270ace86..00000000 --- a/notebooks/vn-training.ipynb +++ /dev/null @@ -1,224 +0,0 @@ -{ - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![Vanna AI](https://img.vanna.ai/vanna-training.svg)\n", - "\n", - "This notebook will take you through how to use Vanna on your own data, including training an isolated model for your schema / organization. For more about Vanna, see our [intro blog post](https://medium.com/vanna-ai/intro-to-vanna-a-python-based-ai-sql-co-pilot-218c25b19c6a).\n", - "\n", - "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/vanna-ai/vanna-py/blob/main/notebooks/vn-training.ipynb)\n", - "\n", - "[![Open in GitHub](https://img.vanna.ai/github.svg)](https://github.com/vanna-ai/vanna-py/blob/main/notebooks/vn-training.ipynb)\n", - "\n", - "# Install Vanna\n", - "First we install Vanna from [PyPI](https://pypi.org/project/vanna/) and import it." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%pip install vanna" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import vanna as vn" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Login\n", - "Creating a login and getting an API key is as easy as entering your email (after you run this cell) and entering the code we send to you. Check your Spam folder if you don't see the code." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "api_key = vn.get_api_key('my-email@example.com')\n", - "vn.set_api_key(api_key)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Set your Dataset\n", - "You need to choose a globally unique organization name. Try using your company name or another unique string. All data from datasets are isolated - there's no leakage. Datasets are private by default. You can add other users to your dataset later." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdin", - "output_type": "stream", - "text": [ - "Would you like to create dataset 'my-unique-dataset-name'? (y/n): y\n", - "What type of database would you like to use? (Snowflake, BigQuery, Postgres, etc.): Postgres\n" - ] - } - ], - "source": [ - "vn.set_dataset('my-dataset') # Enter your dataset name here. This is a globally unique identifier for your dataset." - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Training\n", - "Vanna needs to learn about your schema. Take some prior SQL queries and the questions associated with them and enter them below. The ones we've done reflect a fictitious dataset that you'll want to replace with your own queries and questions." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "True" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "vn.add_sql(\n", - " question='What are the top 10 customers?',\n", - " sql='SELECT customer_name, sales FROM customers ORDER BY sales desc LIMIT 10'\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "True" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "vn.add_sql(\n", - " question='What are the top 10 customers in the US?',\n", - " sql=\"SELECT customer_name, sales FROM customers WHERE country_name = 'UNITED STATES' ORDER BY sales desc LIMIT 10\"\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "True" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "vn.add_sql(\n", - " question='How many regions are there?',\n", - " sql='SELECT DISTINCT region FROM customers'\n", - ")" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Generate SQL\n", - "Ok, now we are ready to ask plain English questions and see whether Vanna can answer them! Once you get the SQL back, you can execute in Jupyter or on another interface." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "SELECT region,\n", - " count(distinct customer_id) as num_customers\n", - "FROM customers\n", - "GROUP BY region\n" - ] - } - ], - "source": [ - "sql = vn.generate_sql('How many customers are there in each region?')\n", - "print(sql)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Read the [Full Documentation Reference](https://docs.vanna.ai) for More Functionality\n", - "\n", - "So that was cool, but there's more. Vanna can actually execute the SQL (in a privacy / security safe manner), generate explanations for what the SQL is doing, and even generate visualizations. [Click here](https://github.com/vanna-ai/vanna-notebooks/blob/main/vn-full.ipynb) for the next notebook that goes through this." - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.2" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/src/vanna/__init__.py b/src/vanna/__init__.py index 1ac35b35..428683a0 100644 --- a/src/vanna/__init__.py +++ b/src/vanna/__init__.py @@ -399,7 +399,7 @@ def set_model(model: str): model (str): The name of the model to use. """ if model == 'my-model': - env_model = os.environ.get('VANNA_model', None) + env_model = os.environ.get('VANNA_MODEL', None) if env_model is not None: model = env_model @@ -1281,7 +1281,7 @@ def connect_to_snowflake(account: str, username: str, password: str, database: s """ try: - import snowflake.connector as snowflake + snowflake = __import__('snowflake.connector') except ImportError: raise DependencyError("You need to install required dependencies to execute this method, run command:" " \npip install vanna[snowflake]") From d345f5b1084e4a09a18aa4128265ba0f852a3e09 Mon Sep 17 00:00:00 2001 From: Zain Hoda <7146154+zainhoda@users.noreply.github.com> Date: Fri, 28 Jul 2023 14:38:49 -0400 Subject: [PATCH 07/10] update language --- notebooks/vn-ask.ipynb | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/notebooks/vn-ask.ipynb b/notebooks/vn-ask.ipynb index cb15cff8..56df6c40 100644 --- a/notebooks/vn-ask.ipynb +++ b/notebooks/vn-ask.ipynb @@ -5,13 +5,13 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "![Vanna AI](https://img.vanna.ai/vanna-full.svg)\n", + "![Vanna AI](https://img.vanna.ai/vanna-ask.svg)\n", "\n", - "This notebook will help you unleash the full potential of AI-powered data analysis at your organization. We'll go through how to \"bulk train\" Vanna and generate SQL, tables, charts, and explanations, all with minimal code and effort. For more about Vanna, see our [intro blog post](https://medium.com/vanna-ai/intro-to-vanna-a-python-based-ai-sql-co-pilot-218c25b19c6a).\n", + "The following notebook goes through the process of asking questions from your data using Vanna AI. Here we use a demo model that is pre-trained on the [TPC-H dataset](https://docs.snowflake.com/en/user-guide/sample-data-tpch.html) that is available in Snowflake.\n", "\n", - "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/vanna-ai/vanna-py/blob/main/notebooks/vn-full.ipynb)\n", + "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/vanna-ai/vanna-py/blob/main/notebooks/vn-ask.ipynb)\n", "\n", - "[![Open in GitHub](https://img.vanna.ai/github.svg)](https://github.com/vanna-ai/vanna-py/blob/main/notebooks/vn-full.ipynb)\n", + "[![Open in GitHub](https://img.vanna.ai/github.svg)](https://github.com/vanna-ai/vanna-py/blob/main/notebooks/vn-ask.ipynb)\n", "\n", "# Install Vanna\n", "First we install Vanna from [PyPI](https://pypi.org/project/vanna/) and import it.\n", @@ -73,7 +73,7 @@ "metadata": {}, "outputs": [], "source": [ - "vn.set_model('my-model') # Enter your dataset name here. This is a globally unique identifier for your dataset." + "vn.set_model('tpc') # Enter your dataset name here. This is a globally unique identifier for your dataset." ] }, { From 9091ec844f3c5ecde0992eeb9eb509f745246b18 Mon Sep 17 00:00:00 2001 From: Zain Hoda <7146154+zainhoda@users.noreply.github.com> Date: Fri, 28 Jul 2023 14:40:46 -0400 Subject: [PATCH 08/10] remove pandas from vn-ask --- notebooks/vn-ask.ipynb | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/notebooks/vn-ask.ipynb b/notebooks/vn-ask.ipynb index 56df6c40..1f6dbe6b 100644 --- a/notebooks/vn-ask.ipynb +++ b/notebooks/vn-ask.ipynb @@ -35,8 +35,7 @@ "outputs": [], "source": [ "import vanna as vn\n", - "import snowflake.connector\n", - "import pandas as pd" + "import snowflake.connector" ] }, { From 7e0460ba37eeaedc22df034960dda0ec7c6a4a89 Mon Sep 17 00:00:00 2001 From: Zain Hoda <7146154+zainhoda@users.noreply.github.com> Date: Fri, 28 Jul 2023 16:06:33 -0400 Subject: [PATCH 09/10] plotly images --- notebooks/vn-ask.ipynb | 2869 +--------------------------------------- pyproject.toml | 2 +- src/vanna/__init__.py | 9 +- 3 files changed, 41 insertions(+), 2839 deletions(-) diff --git a/notebooks/vn-ask.ipynb b/notebooks/vn-ask.ipynb index 1f6dbe6b..ee86df4c 100644 --- a/notebooks/vn-ask.ipynb +++ b/notebooks/vn-ask.ipynb @@ -72,7 +72,7 @@ "metadata": {}, "outputs": [], "source": [ - "vn.set_model('tpc') # Enter your dataset name here. This is a globally unique identifier for your dataset." + "vn.set_model('tpc') # Enter your model name here. This is a globally unique identifier for your model." ] }, { @@ -104,7 +104,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -219,939 +219,9 @@ }, { "data": { - "text/html": [ - " \n", - " " - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plot.ly" - }, - "data": [ - { - "type": "bar", - "x": [ - "Customer#000143500", - "Customer#000095257", - "Customer#000087115", - "Customer#000131113", - "Customer#000134380", - "Customer#000103834", - "Customer#000069682", - "Customer#000102022", - "Customer#000098587", - "Customer#000064660" - ], - "y": [ - 6757566.0218, - 6294115.334, - 6184649.5176, - 6080943.8305, - 6075141.9635, - 6059770.3232, - 6057779.0348, - 6039653.6335, - 6027021.5855, - 5905659.6159 - ] - } - ], - "layout": { - "autosize": true, - "template": { - "data": { - "bar": [ - { - "error_x": { - "color": "#f2f5fa" - }, - "error_y": { - "color": "#f2f5fa" - }, - "marker": { - "line": { - "color": "rgb(17,17,17)", - "width": 0.5 - }, - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "bar" - } - ], - "barpolar": [ - { - "marker": { - "line": { - "color": "rgb(17,17,17)", - "width": 0.5 - }, - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "barpolar" - } - ], - "carpet": [ - { - "aaxis": { - "endlinecolor": "#A2B1C6", - "gridcolor": "#506784", - "linecolor": "#506784", - "minorgridcolor": "#506784", - "startlinecolor": "#A2B1C6" - }, - "baxis": { - "endlinecolor": "#A2B1C6", - "gridcolor": "#506784", - "linecolor": "#506784", - "minorgridcolor": "#506784", - "startlinecolor": "#A2B1C6" - }, - "type": "carpet" - } - ], - "choropleth": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "choropleth" - } - ], - "contour": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "contour" - } - ], - "contourcarpet": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "contourcarpet" - } - ], - "heatmap": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "heatmap" - } - ], - "heatmapgl": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "heatmapgl" - } - ], - "histogram": [ - { - "marker": { - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "histogram" - } - ], - "histogram2d": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "histogram2d" - } - ], - "histogram2dcontour": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "histogram2dcontour" - } - ], - "mesh3d": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "mesh3d" - } - ], - "parcoords": [ - { - "line": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "parcoords" - } - ], - "pie": [ - { - "automargin": true, - "type": "pie" - } - ], - "scatter": [ - { - "marker": { - "line": { - "color": "#283442" - } - }, - "type": "scatter" - } - ], - "scatter3d": [ - { - "line": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatter3d" - } - ], - "scattercarpet": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattercarpet" - } - ], - "scattergeo": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattergeo" - } - ], - "scattergl": [ - { - "marker": { - "line": { - "color": "#283442" - } - }, - "type": "scattergl" - } - ], - "scattermapbox": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattermapbox" - } - ], - "scatterpolar": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterpolar" - } - ], - "scatterpolargl": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterpolargl" - } - ], - "scatterternary": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterternary" - } - ], - "surface": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "surface" - } - ], - "table": [ - { - "cells": { - "fill": { - "color": "#506784" - }, - "line": { - "color": "rgb(17,17,17)" - } - }, - "header": { - "fill": { - "color": "#2a3f5f" - }, - "line": { - "color": "rgb(17,17,17)" - } - }, - "type": "table" - } - ] - }, - "layout": { - "annotationdefaults": { - "arrowcolor": "#f2f5fa", - "arrowhead": 0, - "arrowwidth": 1 - }, - "autotypenumbers": "strict", - "coloraxis": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "colorscale": { - "diverging": [ - [ - 0, - "#8e0152" - ], - [ - 0.1, - "#c51b7d" - ], - [ - 0.2, - "#de77ae" - ], - [ - 0.3, - "#f1b6da" - ], - [ - 0.4, - "#fde0ef" - ], - [ - 0.5, - "#f7f7f7" - ], - [ - 0.6, - "#e6f5d0" - ], - [ - 0.7, - "#b8e186" - ], - [ - 0.8, - "#7fbc41" - ], - [ - 0.9, - "#4d9221" - ], - [ - 1, - "#276419" - ] - ], - "sequential": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "sequentialminus": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ] - }, - "colorway": [ - "#636efa", - "#EF553B", - "#00cc96", - "#ab63fa", - "#FFA15A", - "#19d3f3", - "#FF6692", - "#B6E880", - "#FF97FF", - "#FECB52" - ], - "font": { - "color": "#f2f5fa" - }, - "geo": { - "bgcolor": "rgb(17,17,17)", - "lakecolor": "rgb(17,17,17)", - "landcolor": "rgb(17,17,17)", - "showlakes": true, - "showland": true, - "subunitcolor": "#506784" - }, - "hoverlabel": { - "align": "left" - }, - "hovermode": "closest", - "mapbox": { - "style": "dark" - }, - "paper_bgcolor": "rgb(17,17,17)", - "plot_bgcolor": "rgb(17,17,17)", - "polar": { - "angularaxis": { - "gridcolor": "#506784", - "linecolor": "#506784", - "ticks": "" - }, - "bgcolor": "rgb(17,17,17)", - "radialaxis": { - "gridcolor": "#506784", - "linecolor": "#506784", - "ticks": "" - } - }, - "scene": { - "xaxis": { - "backgroundcolor": "rgb(17,17,17)", - "gridcolor": "#506784", - "gridwidth": 2, - "linecolor": "#506784", - "showbackground": true, - "ticks": "", - "zerolinecolor": "#C8D4E3" - }, - "yaxis": { - "backgroundcolor": "rgb(17,17,17)", - "gridcolor": "#506784", - "gridwidth": 2, - "linecolor": "#506784", - "showbackground": true, - "ticks": "", - "zerolinecolor": "#C8D4E3" - }, - "zaxis": { - "backgroundcolor": "rgb(17,17,17)", - "gridcolor": "#506784", - "gridwidth": 2, - "linecolor": "#506784", - "showbackground": true, - "ticks": "", - "zerolinecolor": "#C8D4E3" - } - }, - "shapedefaults": { - "line": { - "color": "#f2f5fa" - } - }, - "sliderdefaults": { - "bgcolor": "#C8D4E3", - "bordercolor": "rgb(17,17,17)", - "borderwidth": 1, - "tickwidth": 0 - }, - "ternary": { - "aaxis": { - "gridcolor": "#506784", - "linecolor": "#506784", - "ticks": "" - }, - "baxis": { - "gridcolor": "#506784", - "linecolor": "#506784", - "ticks": "" - }, - "bgcolor": "rgb(17,17,17)", - "caxis": { - "gridcolor": "#506784", - "linecolor": "#506784", - "ticks": "" - } - }, - "title": { - "x": 0.05 - }, - "updatemenudefaults": { - "bgcolor": "#506784", - "borderwidth": 0 - }, - "xaxis": { - "automargin": true, - "gridcolor": "#283442", - "linecolor": "#506784", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "#283442", - "zerolinewidth": 2 - }, - "yaxis": { - "automargin": true, - "gridcolor": "#283442", - "linecolor": "#506784", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "#283442", - "zerolinewidth": 2 - } - } - }, - "xaxis": { - "autorange": true, - "range": [ - -0.5, - 9.5 - ], - "type": "category" - }, - "yaxis": { - "autorange": true, - "range": [ - 0, - 7113227.391368421 - ], - "type": "linear" - } - } - }, - "text/html": [ - "
" + "image/png": "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", + "text/plain": [ + "" ] }, "metadata": {}, @@ -1162,16 +232,16 @@ "output_type": "stream", "text": [ "AI-generated follow-up questions:\n", - "What are the countries of the top 10 customers by sales?\n", - "How many orders did each of the top 10 customers place?\n", - "What is the average sales amount per customer in the top 10?\n", - "Can you provide a breakdown of the sales by country for the top 10 customers?\n", - "Who are the top 10 customers in terms of returned parts gross value?\n", - "What are the total sales for each customer in the top 3?\n", - "Can you provide a breakdown of the sales by region for the top customers?\n", + "What is the total sales value for each customer?\n", + "What are the names of the top 10 customers by sales in each country?\n", + "What is the total revenue for each country?\n", + "How many orders does each customer have?\n", + "What are the names of the top 10 customers by returned parts gross value?\n", + "What is the total sales value for the top 3 customers?\n", + "What are the names of the top 5 customers by sales in Europe?\n", "How many customers are there in each country?\n", - "What is the total revenue for the top 5 countries?\n", - "Can you provide a breakdown of the sales by customer for the top 5 countries?\n" + "What is the returned parts gross value for each customer?\n", + "What is the total sales value for the top 3 customers?\n" ] } ], @@ -1181,7 +251,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -1267,968 +337,9 @@ }, { "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plot.ly" - }, - "data": [ - { - "marker": { - "color": [ - 8960205391.8314, - 8942575217.6237, - 8925318302.071, - 8892984086.0088, - 8873862546.7864 - ], - "colorscale": [ - [ - 0, - "#440154" - ], - [ - 0.1111111111111111, - "#482878" - ], - [ - 0.2222222222222222, - "#3e4989" - ], - [ - 0.3333333333333333, - "#31688e" - ], - [ - 0.4444444444444444, - "#26828e" - ], - [ - 0.5555555555555556, - "#1f9e89" - ], - [ - 0.6666666666666666, - "#35b779" - ], - [ - 0.7777777777777778, - "#6ece58" - ], - [ - 0.8888888888888888, - "#b5de2b" - ], - [ - 1, - "#fde725" - ] - ] - }, - "text": [ - 8960205391.8314, - 8942575217.6237, - 8925318302.071, - 8892984086.0088, - 8873862546.7864 - ], - "textposition": "auto", - "type": "bar", - "x": [ - "FRANCE", - "INDONESIA", - "RUSSIA", - "MOZAMBIQUE", - "JORDAN" - ], - "y": [ - 8960205391.8314, - 8942575217.6237, - 8925318302.071, - 8892984086.0088, - 8873862546.7864 - ] - } - ], - "layout": { - "autosize": true, - "template": { - "data": { - "bar": [ - { - "error_x": { - "color": "#f2f5fa" - }, - "error_y": { - "color": "#f2f5fa" - }, - "marker": { - "line": { - "color": "rgb(17,17,17)", - "width": 0.5 - }, - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "bar" - } - ], - "barpolar": [ - { - "marker": { - "line": { - "color": "rgb(17,17,17)", - "width": 0.5 - }, - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "barpolar" - } - ], - "carpet": [ - { - "aaxis": { - "endlinecolor": "#A2B1C6", - "gridcolor": "#506784", - "linecolor": "#506784", - "minorgridcolor": "#506784", - "startlinecolor": "#A2B1C6" - }, - "baxis": { - "endlinecolor": "#A2B1C6", - "gridcolor": "#506784", - "linecolor": "#506784", - "minorgridcolor": "#506784", - "startlinecolor": "#A2B1C6" - }, - "type": "carpet" - } - ], - "choropleth": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "choropleth" - } - ], - "contour": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "contour" - } - ], - "contourcarpet": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "contourcarpet" - } - ], - "heatmap": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "heatmap" - } - ], - "heatmapgl": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "heatmapgl" - } - ], - "histogram": [ - { - "marker": { - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "histogram" - } - ], - "histogram2d": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "histogram2d" - } - ], - "histogram2dcontour": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "histogram2dcontour" - } - ], - "mesh3d": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "mesh3d" - } - ], - "parcoords": [ - { - "line": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "parcoords" - } - ], - "pie": [ - { - "automargin": true, - "type": "pie" - } - ], - "scatter": [ - { - "marker": { - "line": { - "color": "#283442" - } - }, - "type": "scatter" - } - ], - "scatter3d": [ - { - "line": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatter3d" - } - ], - "scattercarpet": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattercarpet" - } - ], - "scattergeo": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattergeo" - } - ], - "scattergl": [ - { - "marker": { - "line": { - "color": "#283442" - } - }, - "type": "scattergl" - } - ], - "scattermapbox": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattermapbox" - } - ], - "scatterpolar": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterpolar" - } - ], - "scatterpolargl": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterpolargl" - } - ], - "scatterternary": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterternary" - } - ], - "surface": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "surface" - } - ], - "table": [ - { - "cells": { - "fill": { - "color": "#506784" - }, - "line": { - "color": "rgb(17,17,17)" - } - }, - "header": { - "fill": { - "color": "#2a3f5f" - }, - "line": { - "color": "rgb(17,17,17)" - } - }, - "type": "table" - } - ] - }, - "layout": { - "annotationdefaults": { - "arrowcolor": "#f2f5fa", - "arrowhead": 0, - "arrowwidth": 1 - }, - "autotypenumbers": "strict", - "coloraxis": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "colorscale": { - "diverging": [ - [ - 0, - "#8e0152" - ], - [ - 0.1, - "#c51b7d" - ], - [ - 0.2, - "#de77ae" - ], - [ - 0.3, - "#f1b6da" - ], - [ - 0.4, - "#fde0ef" - ], - [ - 0.5, - "#f7f7f7" - ], - [ - 0.6, - "#e6f5d0" - ], - [ - 0.7, - "#b8e186" - ], - [ - 0.8, - "#7fbc41" - ], - [ - 0.9, - "#4d9221" - ], - [ - 1, - "#276419" - ] - ], - "sequential": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "sequentialminus": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ] - }, - "colorway": [ - "#636efa", - "#EF553B", - "#00cc96", - "#ab63fa", - "#FFA15A", - "#19d3f3", - "#FF6692", - "#B6E880", - "#FF97FF", - "#FECB52" - ], - "font": { - "color": "#f2f5fa" - }, - "geo": { - "bgcolor": "rgb(17,17,17)", - "lakecolor": "rgb(17,17,17)", - "landcolor": "rgb(17,17,17)", - "showlakes": true, - "showland": true, - "subunitcolor": "#506784" - }, - "hoverlabel": { - "align": "left" - }, - "hovermode": "closest", - "mapbox": { - "style": "dark" - }, - "paper_bgcolor": "rgb(17,17,17)", - "plot_bgcolor": "rgb(17,17,17)", - "polar": { - "angularaxis": { - "gridcolor": "#506784", - "linecolor": "#506784", - "ticks": "" - }, - "bgcolor": "rgb(17,17,17)", - "radialaxis": { - "gridcolor": "#506784", - "linecolor": "#506784", - "ticks": "" - } - }, - "scene": { - "xaxis": { - "backgroundcolor": "rgb(17,17,17)", - "gridcolor": "#506784", - "gridwidth": 2, - "linecolor": "#506784", - "showbackground": true, - "ticks": "", - "zerolinecolor": "#C8D4E3" - }, - "yaxis": { - "backgroundcolor": "rgb(17,17,17)", - "gridcolor": "#506784", - "gridwidth": 2, - "linecolor": "#506784", - "showbackground": true, - "ticks": "", - "zerolinecolor": "#C8D4E3" - }, - "zaxis": { - "backgroundcolor": "rgb(17,17,17)", - "gridcolor": "#506784", - "gridwidth": 2, - "linecolor": "#506784", - "showbackground": true, - "ticks": "", - "zerolinecolor": "#C8D4E3" - } - }, - "shapedefaults": { - "line": { - "color": "#f2f5fa" - } - }, - "sliderdefaults": { - "bgcolor": "#C8D4E3", - "bordercolor": "rgb(17,17,17)", - "borderwidth": 1, - "tickwidth": 0 - }, - "ternary": { - "aaxis": { - "gridcolor": "#506784", - "linecolor": "#506784", - "ticks": "" - }, - "baxis": { - "gridcolor": "#506784", - "linecolor": "#506784", - "ticks": "" - }, - "bgcolor": "rgb(17,17,17)", - "caxis": { - "gridcolor": "#506784", - "linecolor": "#506784", - "ticks": "" - } - }, - "title": { - "x": 0.05 - }, - "updatemenudefaults": { - "bgcolor": "#506784", - "borderwidth": 0 - }, - "xaxis": { - "automargin": true, - "gridcolor": "#283442", - "linecolor": "#506784", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "#283442", - "zerolinewidth": 2 - }, - "yaxis": { - "automargin": true, - "gridcolor": "#283442", - "linecolor": "#506784", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "#283442", - "zerolinewidth": 2 - } - } - }, - "title": { - "text": "Total Sales by Country" - }, - "xaxis": { - "autorange": true, - "range": [ - -0.5, - 4.5 - ], - "title": { - "text": "Country" - }, - "type": "category" - }, - "yaxis": { - "autorange": true, - "range": [ - 0, - 9431795149.296211 - ], - "title": { - "text": "Total Sales" - }, - "type": "linear" - } - } - }, - "text/html": [ - "
" + "image/png": "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", + "text/plain": [ + "" ] }, "metadata": {}, @@ -2239,15 +350,17 @@ "output_type": "stream", "text": [ "AI-generated follow-up questions:\n", - "What are the total sales for each country?\n", - "Which country has the highest number of customers?\n", - "What are the total sales for each customer?\n", - "What are the top 3 customers with the highest sales?\n", - "What is the total revenue for each customer and country?\n", - "What are the total sales for each customer in Europe?\n", - "What are the top 10 countries with the highest total order amount?\n", + "What are the total sales for each country in descending order?\n", + "How many customers are there in each of the top 5 countries with the highest sales?\n", + "What are the top 5 customers with the highest sales?\n", + "How does the sales distribution vary across different regions?\n", + "What is the total sales for each customer in the United States?\n", + "How many orders were placed by each customer in each country?\n", + "What is the total revenue for each customer in each country?\n", + "What is the total sales for each customer in Europe?\n", + "What is the total order amount for each country in descending order?\n", "Which country has the highest number of failed orders?\n", - "What are the top 3 customers with the highest sales?\n" + "Who are the top 3 customers with the highest sales?\n" ] } ], @@ -2257,7 +370,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -2379,931 +492,13 @@ }, { "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plot.ly" - }, - "data": [ - { - "type": "bar", - "x": [ - "ASIA", - "ASIA", - "AMERICA", - "AMERICA", - "EUROPE", - "EUROPE", - "MIDDLE EAST", - "MIDDLE EAST", - "AFRICA", - "AFRICA" - ], - "y": [ - "Customer#000102022", - "Customer#000148750", - "Customer#000095257", - "Customer#000091630", - "Customer#000028180", - "Customer#000053809", - "Customer#000143500", - "Customer#000103834", - "Customer#000131113", - "Customer#000134380" - ] - } - ], - "layout": { - "autosize": true, - "template": { - "data": { - "bar": [ - { - "error_x": { - "color": "#f2f5fa" - }, - "error_y": { - "color": "#f2f5fa" - }, - "marker": { - "line": { - "color": "rgb(17,17,17)", - "width": 0.5 - }, - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "bar" - } - ], - "barpolar": [ - { - "marker": { - "line": { - "color": "rgb(17,17,17)", - "width": 0.5 - }, - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "barpolar" - } - ], - "carpet": [ - { - "aaxis": { - "endlinecolor": "#A2B1C6", - "gridcolor": "#506784", - "linecolor": "#506784", - "minorgridcolor": "#506784", - "startlinecolor": "#A2B1C6" - }, - "baxis": { - "endlinecolor": "#A2B1C6", - "gridcolor": "#506784", - "linecolor": "#506784", - "minorgridcolor": "#506784", - "startlinecolor": "#A2B1C6" - }, - "type": "carpet" - } - ], - "choropleth": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "choropleth" - } - ], - "contour": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "contour" - } - ], - "contourcarpet": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "contourcarpet" - } - ], - "heatmap": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "heatmap" - } - ], - "heatmapgl": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "heatmapgl" - } - ], - "histogram": [ - { - "marker": { - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "histogram" - } - ], - "histogram2d": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "histogram2d" - } - ], - "histogram2dcontour": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "histogram2dcontour" - } - ], - "mesh3d": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "mesh3d" - } - ], - "parcoords": [ - { - "line": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "parcoords" - } - ], - "pie": [ - { - "automargin": true, - "type": "pie" - } - ], - "scatter": [ - { - "marker": { - "line": { - "color": "#283442" - } - }, - "type": "scatter" - } - ], - "scatter3d": [ - { - "line": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatter3d" - } - ], - "scattercarpet": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattercarpet" - } - ], - "scattergeo": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattergeo" - } - ], - "scattergl": [ - { - "marker": { - "line": { - "color": "#283442" - } - }, - "type": "scattergl" - } - ], - "scattermapbox": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattermapbox" - } - ], - "scatterpolar": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterpolar" - } - ], - "scatterpolargl": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterpolargl" - } - ], - "scatterternary": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterternary" - } - ], - "surface": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "surface" - } - ], - "table": [ - { - "cells": { - "fill": { - "color": "#506784" - }, - "line": { - "color": "rgb(17,17,17)" - } - }, - "header": { - "fill": { - "color": "#2a3f5f" - }, - "line": { - "color": "rgb(17,17,17)" - } - }, - "type": "table" - } - ] - }, - "layout": { - "annotationdefaults": { - "arrowcolor": "#f2f5fa", - "arrowhead": 0, - "arrowwidth": 1 - }, - "autotypenumbers": "strict", - "coloraxis": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "colorscale": { - "diverging": [ - [ - 0, - "#8e0152" - ], - [ - 0.1, - "#c51b7d" - ], - [ - 0.2, - "#de77ae" - ], - [ - 0.3, - "#f1b6da" - ], - [ - 0.4, - "#fde0ef" - ], - [ - 0.5, - "#f7f7f7" - ], - [ - 0.6, - "#e6f5d0" - ], - [ - 0.7, - "#b8e186" - ], - [ - 0.8, - "#7fbc41" - ], - [ - 0.9, - "#4d9221" - ], - [ - 1, - "#276419" - ] - ], - "sequential": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "sequentialminus": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ] - }, - "colorway": [ - "#636efa", - "#EF553B", - "#00cc96", - "#ab63fa", - "#FFA15A", - "#19d3f3", - "#FF6692", - "#B6E880", - "#FF97FF", - "#FECB52" - ], - "font": { - "color": "#f2f5fa" - }, - "geo": { - "bgcolor": "rgb(17,17,17)", - "lakecolor": "rgb(17,17,17)", - "landcolor": "rgb(17,17,17)", - "showlakes": true, - "showland": true, - "subunitcolor": "#506784" - }, - "hoverlabel": { - "align": "left" - }, - "hovermode": "closest", - "mapbox": { - "style": "dark" - }, - "paper_bgcolor": "rgb(17,17,17)", - "plot_bgcolor": "rgb(17,17,17)", - "polar": { - "angularaxis": { - "gridcolor": "#506784", - "linecolor": "#506784", - "ticks": "" - }, - "bgcolor": "rgb(17,17,17)", - "radialaxis": { - "gridcolor": "#506784", - "linecolor": "#506784", - "ticks": "" - } - }, - "scene": { - "xaxis": { - "backgroundcolor": "rgb(17,17,17)", - "gridcolor": "#506784", - "gridwidth": 2, - "linecolor": "#506784", - "showbackground": true, - "ticks": "", - "zerolinecolor": "#C8D4E3" - }, - "yaxis": { - "backgroundcolor": "rgb(17,17,17)", - "gridcolor": "#506784", - "gridwidth": 2, - "linecolor": "#506784", - "showbackground": true, - "ticks": "", - "zerolinecolor": "#C8D4E3" - }, - "zaxis": { - "backgroundcolor": "rgb(17,17,17)", - "gridcolor": "#506784", - "gridwidth": 2, - "linecolor": "#506784", - "showbackground": true, - "ticks": "", - "zerolinecolor": "#C8D4E3" - } - }, - "shapedefaults": { - "line": { - "color": "#f2f5fa" - } - }, - "sliderdefaults": { - "bgcolor": "#C8D4E3", - "bordercolor": "rgb(17,17,17)", - "borderwidth": 1, - "tickwidth": 0 - }, - "ternary": { - "aaxis": { - "gridcolor": "#506784", - "linecolor": "#506784", - "ticks": "" - }, - "baxis": { - "gridcolor": "#506784", - "linecolor": "#506784", - "ticks": "" - }, - "bgcolor": "rgb(17,17,17)", - "caxis": { - "gridcolor": "#506784", - "linecolor": "#506784", - "ticks": "" - } - }, - "title": { - "x": 0.05 - }, - "updatemenudefaults": { - "bgcolor": "#506784", - "borderwidth": 0 - }, - "xaxis": { - "automargin": true, - "gridcolor": "#283442", - "linecolor": "#506784", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "#283442", - "zerolinewidth": 2 - }, - "yaxis": { - "automargin": true, - "gridcolor": "#283442", - "linecolor": "#506784", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "#283442", - "zerolinewidth": 2 - } - } - }, - "xaxis": { - "autorange": true, - "range": [ - -0.5, - 4.5 - ], - "type": "category" - }, - "yaxis": { - "autorange": true, - "range": [ - -0.9444444444444444, - 17.944444444444443 - ], - "type": "category" - } - } - }, - "text/html": [ - "
" + "image/png": "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", + "text/plain": [ + "" ] }, "metadata": {}, "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "AI-generated follow-up questions:\n", - "- What are the total sales for each customer in Europe?\n", - "- What are the total sales for each customer in the United States?\n", - "- How many customers are there in each country?\n", - "- What is the total revenue for each customer in each country?\n", - "- Which customers have the highest total sales?\n", - "- Which customers have the highest number of orders?\n", - "- Which customers have the highest returned parts gross value in Africa?\n", - "- What are the total sales for the top 3 customers?\n", - "- What are the total sales for the top 10 customers?\n", - "- What is the total sales for each customer?\n" - ] } ], "source": [ diff --git a/pyproject.toml b/pyproject.toml index c398fa25..491fa5f6 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -13,7 +13,7 @@ classifiers = [ "Operating System :: OS Independent", ] dependencies = [ - "requests", "tabulate", "plotly", "pandas" + "requests", "tabulate", "plotly", "kaleido", "pandas" ] [project.urls] diff --git a/src/vanna/__init__.py b/src/vanna/__init__.py index 428683a0..80ade124 100644 --- a/src/vanna/__init__.py +++ b/src/vanna/__init__.py @@ -982,7 +982,13 @@ def ask(question: Union[str, None] = None, print_results: bool = True, auto_trai plotly_code = generate_plotly_code(question=question, sql=sql, df=df) fig = get_plotly_figure(plotly_code=plotly_code, df=df) if print_results: - fig.show() + try: + display = __import__('IPython.display', fromlist=['display']).display + Image = __import__('IPython.display', fromlist=['Image']).Image + img_bytes = fig.to_image(format="png", scale=2) + display(Image(img_bytes)) + except Exception as e: + fig.show() if generate_followups: followup_questions = generate_followup_questions(question=question, df=df) @@ -990,6 +996,7 @@ def ask(question: Union[str, None] = None, print_results: bool = True, auto_trai print("AI-generated follow-up questions:") for followup_question in followup_questions: print(followup_question) + pass if print_results: return None From 2c8edf94671f22657b991ef52a2bd3fe7034801b Mon Sep 17 00:00:00 2001 From: Zain Hoda <7146154+zainhoda@users.noreply.github.com> Date: Fri, 28 Jul 2023 16:18:53 -0400 Subject: [PATCH 10/10] update notebook --- notebooks/vn-ask.ipynb | 103 +++++++++++++++++++++++++++-------------- src/vanna/__init__.py | 21 +++++++-- 2 files changed, 84 insertions(+), 40 deletions(-) diff --git a/notebooks/vn-ask.ipynb b/notebooks/vn-ask.ipynb index ee86df4c..618aa3b6 100644 --- a/notebooks/vn-ask.ipynb +++ b/notebooks/vn-ask.ipynb @@ -219,7 +219,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "" ] @@ -228,21 +228,26 @@ "output_type": "display_data" }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "AI-generated follow-up questions:\n", - "What is the total sales value for each customer?\n", - "What are the names of the top 10 customers by sales in each country?\n", - "What is the total revenue for each country?\n", - "How many orders does each customer have?\n", - "What are the names of the top 10 customers by returned parts gross value?\n", - "What is the total sales value for the top 3 customers?\n", - "What are the names of the top 5 customers by sales in Europe?\n", - "How many customers are there in each country?\n", - "What is the returned parts gross value for each customer?\n", - "What is the total sales value for the top 3 customers?\n" - ] + "data": { + "text/markdown": [ + "AI-generated follow-up questions:\n", + "\n", + "* What is the country name for each of the top 10 customers by sales?\n", + "* How many orders does each of the top 10 customers by sales have?\n", + "* What is the total revenue for each of the top 10 customers by sales?\n", + "* What are the customer names and total sales for customers in the United States?\n", + "* Which customers in Africa have returned the most parts with a gross value?\n", + "* What are the total sales for the top 3 customers?\n", + "* What are the customer names and total sales for the top 5 customers?\n", + "* What are the total sales for customers in Europe?\n", + "* How many customers are there in each country?\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ @@ -337,7 +342,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "" ] @@ -346,22 +351,27 @@ "output_type": "display_data" }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "AI-generated follow-up questions:\n", - "What are the total sales for each country in descending order?\n", - "How many customers are there in each of the top 5 countries with the highest sales?\n", - "What are the top 5 customers with the highest sales?\n", - "How does the sales distribution vary across different regions?\n", - "What is the total sales for each customer in the United States?\n", - "How many orders were placed by each customer in each country?\n", - "What is the total revenue for each customer in each country?\n", - "What is the total sales for each customer in Europe?\n", - "What is the total order amount for each country in descending order?\n", - "Which country has the highest number of failed orders?\n", - "Who are the top 3 customers with the highest sales?\n" - ] + "data": { + "text/markdown": [ + "AI-generated follow-up questions:\n", + "\n", + "* What are the total sales for each country in descending order?\n", + "* Which country has the highest number of customers?\n", + "* What are the total sales for each customer in descending order?\n", + "* Which customers in the United States have the highest total sales?\n", + "* What are the total sales and number of orders for each customer in each country?\n", + "* What are the total sales for customers in Europe?\n", + "* What are the top 10 countries with the highest total order amount?\n", + "* Which country has the highest number of failed orders?\n", + "* Which customers have the highest total sales?\n", + "* \n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ @@ -370,7 +380,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -492,13 +502,36 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "AI-generated follow-up questions:\n", + "\n", + "* - What are the total sales for each customer in the Asia region?\n", + "* - How many orders does each customer in the Americas region have?\n", + "* - Who are the top 5 customers with the highest total sales?\n", + "* - What is the total revenue for each customer in the Europe region?\n", + "* - Can you provide a breakdown of the number of customers in each country?\n", + "* - Which customers in the United States have the highest total sales?\n", + "* - What are the total sales for each customer in the Asia region?\n", + "* - What are the top 10 customers with the highest returned parts gross value in Africa?\n", + "* - What are the top 3 customers with the highest total sales overall?\n", + "* - Can you provide a list of the first 10 customers in the database?\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ diff --git a/src/vanna/__init__.py b/src/vanna/__init__.py index 80ade124..54ff337c 100644 --- a/src/vanna/__init__.py +++ b/src/vanna/__init__.py @@ -955,8 +955,12 @@ def ask(question: Union[str, None] = None, print_results: bool = True, auto_trai return None, None, None, None if print_results: - print(sql) - + try: + Code = __import__('IPython.display', fromlist=['Code']).Code + display(Code(sql)) + except Exception as e: + print(sql) + if run_sql is None: print("If you want to run the SQL query, provide a vn.run_sql function.") @@ -993,10 +997,17 @@ def ask(question: Union[str, None] = None, print_results: bool = True, auto_trai if generate_followups: followup_questions = generate_followup_questions(question=question, df=df) if print_results and followup_questions is not None and len(followup_questions) > 0: - print("AI-generated follow-up questions:") + md = "AI-generated follow-up questions:\n\n" for followup_question in followup_questions: - print(followup_question) - pass + md += f"* {followup_question}\n" + + try: + display = __import__('IPython.display', fromlist=['display']).display + Markdown = __import__('IPython.display', fromlist=['Markdown']).Markdown + display(Markdown(md)) + except Exception as e: + print(md) + if print_results: return None